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32 results about "Robust optimization problem" patented technology

Method for dispatching multi-time-scale energy of micro power grids on basis of real-time electricity price mechanisms

The invention discloses a method for dispatching multi-time-scale energy of micro power grids on the basis of real-time electricity price mechanisms. The method for dispatching the multi-time-scale energy of the micro power grids on the basis of the real-time electricity price mechanisms includes day-ahead dispatching time scales and intra-day dispatching time scales. Priority dispatching strategies are connected with the day-ahead dispatching time scales and the intra-day dispatching time scales, and robust optimization problems can be solved for multiple time scales of the micro power gridsby particle swarm optimization algorithms. The method has the advantages that requirements of the real-time electricity price mechanisms can be met, the method is applicable to peak and valley time-of-use electricity price systems and includes concise steps, real-time and definite dispatching priority can be provided for various distributed power sources in the micro power grids in each dispatching time frame, renewable energy can be sufficiently utilized, wind and light abandoning can be reduced, and the load power supply reliability can be improved; dispatching strategies on the basis of real-time electricity price information and multi-time-scale theories are combined with one another, accordingly, intra-day dispatching guiding effects of day-ahead dispatching can be enhanced, coordination and matching of dispatching of two time scales can be promoted, and burden due to short-time-scale dispatching can be relieved.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)

MIMO radar transmission and reception joint optimization method under unknown clutter knowledge condition

The invention belongs to the field of signal processing and in particular to a MIMO radar transmission and reception joint optimization method under an unknown clutter knowledge condition. The method comprises steps of: firstly establishing a MIMO radar model and deriving an output SINR mathematical expression under constant-modulus constraint and similarity constraint; then, establishing a clutter covariance matrix error model, and creating a joint robust optimization problem under the constant-modulus constraint and the similarity constraint under the unknown clutter prior information condition based on a maximum output SINR criterion; and finally, solving the optimization problem based on an iterative algorithm. Numerical simulation shows that the iterative algorithm can improve the robustness of MIMO radar detection obviously.
Owner:DALIAN UNIV

Robust optimization coordinated scheduling method for alternating current-direct current hybrid microgrid

The invention discloses a robust optimization coordinated scheduling method for an alternating current-direct current hybrid microgrid. The method comprises the following steps: step 10) source load prediction data are acquired, and an uncertainty set is constructed; step 20) the objective function of an optimal scheduling model is obtained; step 30 ) the constraint conditions of the optimal scheduling model are established; and step 40) a robust optimization scheduling problem is solved: a column constraint generation algorithm is adopted to solve the robust optimization problem, and the robust coordinated operation mode of the alternating current-direct current hybrid microgrid is obtained. According to the method, a plurality of source load uncertainties in the alternating current-direct current hybrid microgrid are considered; the robust optimal scheduling of the alternating current-direct current hybrid microgrid can be realized; and guidance and assistance can be provided for theformulation of the operating modes of the alternating current-direct current hybrid microgrid.
Owner:SOUTHEAST UNIV

Double-layer coordinated robustness optimized scheduling method of multi-microgrids system

InactiveCN108388964AEffective min-max-min problemEfficiently solve min-max-min problemsForecastingResourcesMicrogridComputer science
The invention discloses a double-layer coordinated robustness optimized scheduling method of multi-microgrids system. The system comprises the following steps that 10) operation cost coefficients andoperation limit parameters of different equipments in the user layer in the multi-microgrids system are obtained, and a user layer robustness optimized scheduling model is constructed; 20) operation cost coefficients and operation limit parameters of different equipments in the power supply layer in the multi-microgrids system are obtained, and a power supply robustness optimized scheduling modelis constructed; and 30) a double-layer robustness optimized scheduling model of the multi-microgrids system is solved by soling robustness optimizing problems of the user layer and the power supply layer in an iterative manner via a column constraint generation algorithm, and a robustness coordinated operation plan of the multi-microgrids system is obtained. Power interaction characteristic and multi-level nondeterminacy of the user layer and the power supply layer in the multi-microgrids system are considered, double-layer coordinated robustness optimized scheduling of the multi-microgrids system can be realized, and guidance and help are provided for making the operation plan of the multi-microgrids system.
Owner:SOUTHEAST UNIV +1

Robustness optimization method of proton-heavy ion intensity modulated radiation therapy for range uncertainty

ActiveCN107551411AGood treatment effectImproving the effect of robust optimizationX-ray/gamma-ray/particle-irradiation therapyMedicineMathematical model
The invention discloses a robustness optimization method of a proton-heavy ion intensity modulated radiation therapy for range uncertainty. Basic information of a proton-heavy ion intensity modulatedradiation therapy and data for calculation preparation are inputted; a range uncertainty mathematical model based on combination of optimality and robustness is built according to a robustness measurement method of a mean value and a variance; and then a robustness optimal solution is obtained by employing filter-algorithm-based adaptive particle swarm optimization. Therefore, a range uncertaintymodel for a robustness optimization problem is established accurately; the method has characteristics of fast solution speed, high stability of the algorithm and strong robustness and the like; and the user is able to use the robustness optimal solution to reduce the influence on the radiotherapy plan by the range error.
Owner:裴曦

Robust scheduling method for AC/DC microgrid of considering power tracking of uncontrollable generator

ActiveCN108448619ASolve quickly and efficientlySingle network parallel feeding arrangementsStart stopMicrogrid
The invention discloses a robust scheduling method for an AC/DC microgrid of considering power tracking of an uncontrollable generator. The method comprises the following steps of (10) obtaining uncertainty prediction parameters and building an uncertainty set; (20) linearizing output constraints of an uncontrollable generator set on the basis of the source charge uncertainty set built in the step(10); (30) obtaining operation cost coefficients and operation limits of various devices in the microgrid and building a robust optimization model of the AC/DC microgrid on the basis of the step (10)and the step (20); and (40) solving a robust optimization problem: iteratively solving the robust problem by using a nested column constraint generation algorithm and obtaining a robust operation plan of the AC/DC microgrid. According to the method, the characteristic that the power of a renewable energy generator set in the microgrid is considered, robust optimization scheduling of the AC/DC microgrid is achieved through start-stop of the set and synchronized scheduling of output, the power tracking requirements of the uncontrollable generator set are met and an important reference guide isprovided for making an operation plan of the AC/DC microgrid.
Owner:LIYANG RES INST OF SOUTHEAST UNIV +1

Transceiver joint robust optimization method for improving MIMO-STAP worst detection performance

ActiveCN108469601AImprove robust detection performanceGuaranteed convergenceWave based measurement systemsMulti inputTransceiver
Aiming at a problem that multi-input multiple-output (MIMO) radar space-time adaptive processing (STAP) detection performance is sensitive to a parameter estimation error so that system detection probability robustness is poor, the invention provides a transmitted-waveform and receiving-weight joint robust optimization method under the condition that target prior information is unascertained. According to a maximum output signal to interference and noise ratio (SINR) criterion, under the constraints of a transmitted waveform constant module characteristic, a sidelobe, clutter suppression and the like, based on a parameter estimation error convex set, a transmitted-waveform and receiving-weight joint robust optimization problem is constructed. In order to solve an acquired complex non-linear problem, an iteration algorithm is provided. In the algorithm, each step can be converted into a semi-definite programming problem (SDP) so that a high-efficient solution can be acquired. Value simulation shows that the algorithm can be used to significantly improve the detection robustness of a MIMO-STAP radar compared with a non-robust algorithm and a uncorrelated waveform.
Owner:DALIAN UNIV

Dispatching method for restoring system security of electric power system after multiple failures

InactiveCN105703356AImprove economyAdequate means of adjustmentAc network circuit arrangementsDecision modelPower grid
The invention provides a dispatching method for restoring system security of an electric power system after multiple failures, and relates to the technical field of electric power systems. First a safe economic dispatching model is established and is converted to a two-stage decision model, a multi-stage robust optimization model is decomposed into a main problem and a sub problem, the main problem and sub problem are solved repeatedly, an upper bound and a lower bound of the main problem are updated, the worst scene is identified again, till a difference value of the lower bound and the upper bond of the main problem does not exceed a convergence level or reaches a maximum alternation number of items, and an optimal solution to the main problem is output. The dispatching method adopts an N-K safety criterion that satisfies power grid operation conditions, thereby enabling a calculated result to have practical guiding significance, and the thought of adopting robust optimization avoids the problem that under the N-K safety criterion, an equipment failure accident set is large in amount, and the dispatching problem cannot be solved; and a column constraint generating algorithm is adopted to decompose the multi-stage robust optimization problem into the main problem and the sub problem, thereby improving solving efficiency.
Owner:SICHUAN UNIV +1

Robustness transmission design method of intelligent reflection surface assisted D2D communication system

The invention discloses a robustness transmission design method of an intelligent reflection surface-assisted D2D communication system, and relates to the technical field of communication, and the method comprises the steps: building an intelligent reflection surface-assisted D2D communication system model and an imperfect channel model, building a robust optimization problem based on the imperfect scene of channel state information, processing an optimization problem containing channel parameter uncertainty by utilizing matrix knowledge and a convex optimization theory, converting a semi-infinite constraint condition into a convex constraint, decomposing a robust problem of minimum power into two sub-problems for solving by adopting a BCD algorithm and an S-process theorem, and obtaining a robust power allocation scheme by iterating the two sub-problems; and establishing a resource allocation scheme of the intelligent reflection surface D2D communication system, so the user communication interruption is effectively reduced, and the robustness of the system is improved.
Owner:浙江以正通信技术有限公司

AC/DC hybrid microgrid robust scheduling method based on energy storage dynamic loss

ActiveCN108629445AThe role of operation scheduling is outstandingImprove economyForecastingSingle network parallel feeding arrangementsMicrogridOptimal scheduling
The invention discloses an AC / DC hybrid microgrid robust scheduling method based on energy storage dynamic loss, which comprises the following steps of step 10) acquiring energy storage test parameters and constructing an energy storage dynamic loss model in a bilinear form; step 20) performing linearization processing on the energy storage dynamic loss model constructed in the step 10); step 30)obtaining the operation cost coefficient and the operation limit value of each equipment, and establishing a robust optimization scheduling model of the alternating-current and direct-current hybrid microgrid; step 40) solving robust optimization scheduling problems, which means to solve robust optimization problems by utilizing a nested column constraint generation algorithm, and obtain a robustcoordination operation mode of the alternating-current and direct-current hybrid microgrid. The method is advantageous in that the characteristics of energy storage dynamic loss in the alternating current and direct current hybrid microgrid can be considered, and robust optimal scheduling of the alternating-current and direct-current hybrid microgrid can be realized; the economic benefit of energystorage operation is improved on the basis that the energy storage loss cost is accurately calculated; important guidance and help can be provided for making an operation plan of an AC / DC hybrid microgrid.
Owner:SOUTHEAST UNIV

Impeller robust-optimization design method of mixed-flow pump

The invention discloses an impeller robust-optimization design method of a mixed-flow pump in impeller hydraulic-performance optimization technology. A robust-optimization problem is decomposed into arobust-sub-optimization problem and an optimal-sub-optimization problem for solving, an optimization result is enabled to be closer to robust-optimization indexes, a robust-optimization mathematical-model is established according to robustness definitions, a multiple-regression-analysis method is used to establish function relationship formulas between optimization objectives and optimization variables according to the established robust-optimization mathematical-model, a multi-objective genetic algorithm is combined to solve the function relationship formulas, and finally, a set of n parameters which can enable stability of hydraulic performance under uncertain flow work condition parameter disturbance to be optimized while the hydraulic performance of the mixed-flow pump is enabled to be optimized is obtained. Interference factors of random uncertainty fluctuation of flow work condition parameters of the mixed-flow pump in an actual running process are fully considered, and are considered in a process of establishing the function relationship formulas between the optimization variables and the optimized objectives.
Owner:JIANGSU UNIV

Power allocation method in cognitive radio network (CRN) and application thereof in smart transportation network

The invention relates to a power allocation method in a cognitive radio network (CRN) and application thereof in a smart transportation network, belonging to the technical field of radio communication. The technical solution comprises steps of acquiring non-ideal channel state information through a non-blind channel estimation method; setting an interference power threshold which ensures that primary user communication is not affected by secondary users; constructing a robustness optimization problem by using a safe, effective capacity as a target function and a power limit as a constraint, resolving an optimal dual factor through a Lagrange duality theory, so as to resolve an optimal transmit power to realize optimal power allocation; and transmitting data by secondary users according toan allocated power. The method enables the safe cognitive radio network to meet the QoS requirement of user statistics delay, and has advantages of low calculation complexity and high channel adaptability, thereby having important theoretical and practical significance.
Owner:SHANDONG UNIV OF FINANCE & ECONOMICS

Power distribution network and multi-microgrid robust scheduling method, electronic equipment and storage medium

The invention discloses a power distribution network and multi-microgrid robust scheduling method, electronic equipment and a storage medium. The method comprises the following steps: establishing a renewable energy output ellipsoid uncertainty set by adopting a data driving method based on a minimum volume closed ellipsoid; establishing a day-ahead-real-time two-stage economic scheduling model considering the overall operation cost of a power distribution network and multiple microgrids; obtaining a renewable energy output limit scene by solving the ellipsoid uncertainty set, processing the uncertainty factors of the scheduling model by adopting a limit scene method, and providing a power distribution network and multi-microgrid two-stage robust scheduling method based on the limit scene method; and splitting a two-stage robust optimization problem into a main problem and a sub-problem for iterative solution through an improved column constraint generation algorithm based on a limit scene method. According to the invention, the scheduling robustness of the power distribution network and the multi-microgrid system can be ensured, the scheduling conservative property of the power distribution network and the multi-microgrid system is reduced, the scheduling economy is improved, and meanwhile model solving is relatively simple and relatively high in efficiency.
Owner:SHANGHAI MUNICIPAL ELECTRIC POWER CO +1

Power system multi-stage robust unit commitment decision-making method considering source-load dual uncertainty

The invention provides a power system multi-stage robust unit commitment decision-making method considering the source-load dual uncertainty, wherein a power system multi-stage robust unit commitment model considering wind power and load uncertainty is established. The method comprises the following steps: firstly, aiming at uncertainty of wind power output and power load, constructing a high-dimensional uncertainty set based on upper and lower boundaries of the wind power output and the power load; then, a multi-stage robust unit combination model based on the high-dimensional uncertainty set is established in combination with sequential decision characteristics of power system dispatching; and finally, in combination with a linear affine rule and robust peer-to-peer transformation, converting the robust optimization problem in the min-max form into a mixed integer linear programming problem for solving. The method can be applied to unit combination decision making of a wind power-containing electric power system, and is beneficial to improving the reliability and the effectiveness of an electric power system scheduling decision under an uncertain operation condition.
Owner:FUZHOU UNIV

A Robust Scheduling Method for AC/DC Microgrid Considering Power Tracking of Uncontrollable Generators

The invention discloses an AC / DC microgrid robust scheduling method considering power tracking of an uncontrollable generator, comprising the following steps: step 10) obtaining uncertainty prediction parameters and establishing an uncertainty set; step 20) based on step 10 ) to establish the source-load uncertainty set, linearize the output constraint of the uncontrollable generator set; step 30) obtain the operating cost coefficient and operating limit of each device in the microgrid, and establish the AC / DC microgrid based on step 10) and step 20). Robust optimization model of the grid; step 40) Solve the robust optimization problem: use the nested column constraint generation algorithm to iteratively solve the robust problem, and obtain the robust operation plan of the AC and DC microgrid. This method takes into account the non-adjustable power characteristics of renewable energy generating units in the microgrid, and realizes the robust optimal scheduling of AC and DC microgrids through the coordinated scheduling of unit start-stop and output, and meets the power tracking requirements of uncontrollable generating units. The operation plan of the AC / DC microgrid provides important reference guidance.
Owner:LIYANG RES INST OF SOUTHEAST UNIV +1

Continuous annealing process robust optimization method based on improved multi-target dragonfly algorithm

PendingCN114355768AReflect sizeImprove access to globally optimal food sourcesAdaptive controlProcess engineeringImproved algorithm
The invention belongs to the field of robust optimization in the continuous annealing production process, and particularly relates to a novel robust evaluation index and an optimization method based on an improved multi-objective algorithm. The novel robust evaluation index can more accurately represent the size of the robustness, the improved algorithm improves the capability of solving the globally optimal solution, the diversity of understanding is increased, and the robust optimization problem in the continuous annealing production process is more effectively solved. According to the technical scheme, firstly, a novel robust index is put forward, and a continuous annealing process robust multi-objective optimization model is established based on the novel robust index; secondly, introducing a corresponding strategy to improve an original algorithm so as to ensure the globality and convergence speed of optimization; and finally, an algorithm execution result guides efficient operation of a continuous annealing production process.
Owner:TIANJIN POLYTECHNIC UNIV

A Robust Scheduling Method for AC-DC Hybrid Microgrid Considering the Dynamic Loss of Energy Storage

ActiveCN108629445BThe role of operation scheduling is outstandingImprove economySingle network parallel feeding arrangementsForecastingMicrogridOptimal scheduling
The invention discloses an AC / DC hybrid microgrid robust scheduling method based on energy storage dynamic loss, which comprises the following steps of step 10) acquiring energy storage test parameters and constructing an energy storage dynamic loss model in a bilinear form; step 20) performing linearization processing on the energy storage dynamic loss model constructed in the step 10); step 30)obtaining the operation cost coefficient and the operation limit value of each equipment, and establishing a robust optimization scheduling model of the alternating-current and direct-current hybrid microgrid; step 40) solving robust optimization scheduling problems, which means to solve robust optimization problems by utilizing a nested column constraint generation algorithm, and obtain a robustcoordination operation mode of the alternating-current and direct-current hybrid microgrid. The method is advantageous in that the characteristics of energy storage dynamic loss in the alternating current and direct current hybrid microgrid can be considered, and robust optimal scheduling of the alternating-current and direct-current hybrid microgrid can be realized; the economic benefit of energystorage operation is improved on the basis that the energy storage loss cost is accurately calculated; important guidance and help can be provided for making an operation plan of an AC / DC hybrid microgrid.
Owner:SOUTHEAST UNIV

A multi-time scale energy scheduling method for microgrid based on real-time electricity price mechanism

The invention discloses a method for dispatching multi-time-scale energy of micro power grids on the basis of real-time electricity price mechanisms. The method for dispatching the multi-time-scale energy of the micro power grids on the basis of the real-time electricity price mechanisms includes day-ahead dispatching time scales and intra-day dispatching time scales. Priority dispatching strategies are connected with the day-ahead dispatching time scales and the intra-day dispatching time scales, and robust optimization problems can be solved for multiple time scales of the micro power gridsby particle swarm optimization algorithms. The method has the advantages that requirements of the real-time electricity price mechanisms can be met, the method is applicable to peak and valley time-of-use electricity price systems and includes concise steps, real-time and definite dispatching priority can be provided for various distributed power sources in the micro power grids in each dispatching time frame, renewable energy can be sufficiently utilized, wind and light abandoning can be reduced, and the load power supply reliability can be improved; dispatching strategies on the basis of real-time electricity price information and multi-time-scale theories are combined with one another, accordingly, intra-day dispatching guiding effects of day-ahead dispatching can be enhanced, coordination and matching of dispatching of two time scales can be promoted, and burden due to short-time-scale dispatching can be relieved.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)

Robustness verification method and device for distributed control plane in software-defined network

The present invention provides a robust verification method and device for a distributed control plane in a software-defined network in the field of network control, including: constructing a robust verification framework, which accommodates a set of failure scenarios and a failure recovery strategy Set; select the failure recovery strategy, find the worst failure scenario under the failure recovery strategy; verify the utilization rate of the largest controller in the control plane under the combination of the worst failure scenario and the failure recovery strategy; according to the robustness of the utilization rate to the control plane authenticating. The present invention regards the verification problem of the distributed control plane as a robust optimization problem under various failure situations and failure recovery strategies. After selecting the failure recovery strategy, the worst failure scenario is found to judge whether the performance of the control plane is meets requirements.
Owner:NAT UNIV OF DEFENSE TECH

A joint robust optimization method for transmitting and receiving to improve the worst detection performance of mimo-stap

ActiveCN108469601BImprove robust detection performanceGuaranteed convergenceWave based measurement systemsMulti inputAlgorithm
Aiming at the problem that the detection performance of multiple-input multiple-output (MIMO) radar space-time adaptive processing (STAP) is sensitive to parameter estimation errors, which leads to poor robustness of system detection probability, the present invention proposes a method in which the prior information of the target is not known. Joint robust optimization method of transmitting waveform and receiving weights. According to the principle of maximizing the output signal-to-interference-noise ratio (SINR), under the constraints of the constant mode model of the transmission waveform, sidelobe and clutter suppression, this patent constructs a joint robust optimization problem of the transmission waveform and the receiving right based on the parameter estimation error convex set. In order to solve the obtained complex nonlinear problem, the present invention proposes an iterative algorithm, and each step in the proposed algorithm can be transformed into a semi-definite programming problem (SDP), thus obtaining an efficient solution. Numerical simulations show that the proposed algorithm can significantly improve the detection robustness of MIMO‑STAP radar compared with non-robust algorithms and uncorrelated waveforms.
Owner:DALIAN UNIV

A Spacecraft Robust Rendezvous Trajectory Design Method Considering Uncertainty Factors

ActiveCN109709805BRealize the designRobust Intersection Trajectory SuppressionAdaptive controlClassical mechanicsGenetics algorithms
The invention relates to a spacecraft robust rendezvous trajectory design method considering uncertain factors. With utilization of the characteristic of constructing an uncertain factor propagation equation rapidly and precisely according to a covariance analysis method, influences on a nominal track by uncertain factors are analyzed. A robust optimization problem is constructed by using the analysis results as the constraints of the optimization problem. Calculation is carried out based on a genetic algorithm to realize the robust rendezvous trajectory design. Therefore, the traditional optimal system rendezvous determination problem is transformed into a robust rendezvous problem considering uncertain factors; and calculation is carried out based on the genetic algorithm, so that an objective of the robust rendezvous trajectory design is achieved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Scheduling method to restore system security after multiple faults in power system

InactiveCN105703356BImprove economyAdequate means of adjustmentAc network circuit arrangementsDecision modelPower grid
The invention provides a dispatching method for restoring system security of an electric power system after multiple failures, and relates to the technical field of electric power systems. First a safe economic dispatching model is established and is converted to a two-stage decision model, a multi-stage robust optimization model is decomposed into a main problem and a sub problem, the main problem and sub problem are solved repeatedly, an upper bound and a lower bound of the main problem are updated, the worst scene is identified again, till a difference value of the lower bound and the upper bond of the main problem does not exceed a convergence level or reaches a maximum alternation number of items, and an optimal solution to the main problem is output. The dispatching method adopts an N-K safety criterion that satisfies power grid operation conditions, thereby enabling a calculated result to have practical guiding significance, and the thought of adopting robust optimization avoids the problem that under the N-K safety criterion, an equipment failure accident set is large in amount, and the dispatching problem cannot be solved; and a column constraint generating algorithm is adopted to decompose the multi-stage robust optimization problem into the main problem and the sub problem, thereby improving solving efficiency.
Owner:SICHUAN UNIV +1

A Robust Optimal Coordination Scheduling Method for AC-DC Hybrid Microgrid

Disclosed is a robust optimal coordinated dispatching method for an alternating-current and direct-current hybrid micro-grid. The method comprises the following steps: step 10) acquiring source load prediction data and creating an uncertainty set; step 20) acquiring an objective function of an optimal dispatching model; step 30) creating constraint conditions of the optimal dispatching model; and step 40) solving a robust optimal dispatching problem: using a column constraint generation algorithm to solve a robust optimization problem to obtain a robust coordinated operation manner of an alternating-current and direct-current hybrid micro-grid. The method takes the uncertainty of multiple source loads in an alternating-current and direct-current hybrid micro-grid into consideration, can realize the robost optimal dispatching of the alternating-current and direct-current hybrid micro-grid and provides guidance and assistance to work out an operation manner of the alternating-current and direct-current hybrid micro-grid.
Owner:SOUTHEAST UNIV

A Method for Robust Energy-Efficient Transmission in Cognitive Networks

The invention discloses a method for robust energy-efficient transmission in a cognitive network. The channel state information of the relevant channel is measured by the receiving end of the secondary user and fed back to the sending end of the secondary user; the sending end of the secondary user performs multiple measurements Determine the uncertain set of each channel gain; the secondary user models the problem of maximizing the energy efficiency of the secondary user according to the robust optimization method; solves the worst channel gain and converts the primary user service quality requirement constraint into a convex constraint; according to the power allocation The algorithm solves the optimal transmission power, and transmits on each channel according to this power, and solves the robust optimal transmission power when the channel state information is uncertain, which can be used in cognitive network communication. In the present invention, under the condition of uncertain channel information, the maximum energy efficiency of the secondary user is guaranteed; the interference power to the receiving end of the primary user is strictly controlled, the service quality of the primary user is guaranteed, and the impact of information uncertainty is effectively eliminated. Deterioration of cognitive network performance.
Owner:XIDIAN UNIV

Multi-mode optimization operation method for energy storage system of communication base station

The invention discloses a multi-mode optimization operation method for an energy storage system of a communication base station, and the method carries out the optimization based on the distribution network load power and new energy output of an area where the energy storage system of the communication base station is located, and divides the operation modes of the communication base station into three modes: fluctuation stabilization, time-of-use electricity price, and standby supply. By considering the fluctuation of distributed new energy power generation output and the uncertainty of electrical load in the region, an optimization model taking system operation cost, maintenance cost and regional distribution network power variance as targets is constructed according to the operation mode, and nonlinear constraints are introduced to construct a robust optimization problem; and solving the problem by using an improved column and a constraint generation algorithm to obtain a corresponding scheduling strategy to guide the optimal operation of the energy storage system of the communication base station. The utilization rate of the communication base station energy storage system is improved, the distribution network power fluctuation of the area where the communication base station energy storage system is located is reduced, the electric energy quality is improved, the power supply and demand balance of the area is guaranteed, and the power utilization cost of users is effectively reduced.
Owner:ZHEJIANG UNIV +1

A Multi-Stage Robust Unit Combination Decision-Making Method for Power Systems Considering Double Uncertainties of Source and Load

The invention proposes a power system multi-stage robust unit combination decision-making method considering the double uncertainty of source and load, which establishes a power system multi-stage robust unit combination model considering wind power and load uncertainty. Firstly, aiming at the uncertainty of wind power output and electric load, construct a high-dimensional uncertainty set based on its upper and lower boundaries; then, combined with the sequential decision-making characteristics of power system dispatching, establish a multi-stage Robust unit combination model; finally, combined with linear affine rules and robust equivalent transformation, the above-mentioned robust optimization problem of min-max form is transformed into a mixed integer linear programming problem for solution. This method can be applied to the decision-making of unit combination in power systems including wind power, which is conducive to improving the reliability and effectiveness of power system scheduling decisions under uncertain operating conditions.
Owner:FUZHOU UNIV

Robust optimization method for proton heavy ion intensity-modulated radiotherapy for range uncertainty

The invention discloses a robustness optimization method of a proton-heavy ion intensity modulated radiation therapy for range uncertainty. Basic information of a proton-heavy ion intensity modulatedradiation therapy and data for calculation preparation are inputted; a range uncertainty mathematical model based on combination of optimality and robustness is built according to a robustness measurement method of a mean value and a variance; and then a robustness optimal solution is obtained by employing filter-algorithm-based adaptive particle swarm optimization. Therefore, a range uncertaintymodel for a robustness optimization problem is established accurately; the method has characteristics of fast solution speed, high stability of the algorithm and strong robustness and the like; and the user is able to use the robustness optimal solution to reduce the influence on the radiotherapy plan by the range error.
Owner:裴曦

A Robustness Measurement and Equilibrium Optimal Design Method for Heterogeneous Multi-objective Performance of Mechanical Structures

The invention discloses an optimization design method for robustness measurement and equilibrium for different kinds of multi-target performances of a mechanical structure. The method comprises the following steps: considering uncertain factors within an interval, establishing a robust optimization design model containing different kinds of target performances such as a cost type, a fixed type, anincome type, and a deviation type for the mechanical structure; nesting an inner layer of a genetic algorithm into double layers and calculating left and right boundaries of all structures of performance indices; performing feasibility discrimination on design vectors in an outer layer of the genetic algorithm; classifying robust equilibrium of a feasible solution on the basis of a robust equilibrium coefficient of an interval constraint performance and a robust equilibrium coefficient of an interval different-kind target performance, sequencing design vectors on the basis of the overall distance of different-kind target performance robustness. Therefore, robust equilibrium optimization of different kinds of multi-target performances for the mechanical structure is achieved. With the method, unified modeling is achieved in order to resolve a robust optimization problem of different kinds of multi-target performances. High robustness level of the constraint performance is ensured. Theoptimization result is objective. All kinds of structures are robust and balanced in overall performances.
Owner:ZHEJIANG UNIV
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