36 results about "Life cycle costing" patented technology

The invention discloses a probability whole life cycle cost-based power transformer performance evaluation method, which mainly comprises the steps: establishing a whole life cycle cost model of a power transformer; estimating a probability distribution function of the whole life cycle cost of the power transformer; quantitatively processing qualitative indicators; processing data in a standardized way; processing the data in a dimensionless way; evaluating an alternative scheme by using a matter-element model; determine an optimal scheme. According to the probability whole life cycle cost-based power transformer performance comprehensive evaluation method, the probability whole life cycle cost model is constructed by introducing the statistical theory, the cost parameter uncertainty is improved, the theory of matter-element is adopted to assess the alternative scheme, and thus the optimal scheme is more reasonable. The invention also discloses a probability whole life cycle cost-based power transformer performance comprehensive evaluation method, the reliability, technology advancement, serviceability and environmental impact indicators are increased, the efficient combination of reliability of the power transformer and reliability is realized, the utilization rate of the transformer is enhanced, and the power grid assets management level is improved.

The invention discloses a power distribution line tower span panning method based on load reliability. The randomness of the maximum wind velocities of typhoons and the frequency of typhoon landing are taken into account; an overhead power distribution line load reliability calculation model is built based on the type I distribution of the maximum wind velocity values of typhoons; with the whole life cycle cost of a power distribution system as a target function and a pole model number and a span length as decision variables, an overhead power distribution line tower and span planning model is built. The power distribution line tower span panning method based on the load reliability is characterized in that the tower and span planning model with the whole life cycle cost of the power distribution system as the target function and the line span as a constraint condition is built by taking the power interruption cost due to line pole collapse and breakage faults into account in combination with a tower investment cost and a maintenance cost. Based on the planning method, the planning personnel can control the load risk level of an overhead power distribution line visually, and the optimal scheme considering both economic efficiency and reliability can be obtained.

The invention discloses a distribution network energy storage optimization configuration method considering whole life cycle cost. A two-stage optimization solution method is adopted to solve the problems of distribution network energy storage addressing and constant volume; from the aspects of energy storage to stabilize voltage fluctuations caused by distributed power and load, with the whole life cycle cost of energy storage as an optimization goal, a two-stage optimization model is established; in a first stage, candidate nodes are screened through a genetic algorithm and a simulated annealing algorithm, and energy storage required mounting nodes and the energy storage operation strategy and the minimum mounting capacity of each node are outputted finally; and in a second stage, the service life of the energy storage is considered based on the optimization result in the first stage, and the energy storage capacity configuration with the lowest whole life cycle cost is optimized through the genetic algorithm and the simulated annealing algorithm. The method considers the random output fluctuation of the distributed power and the whole life cycle cost of the energy storage system, and can obtain a more economical energy storage location and a capacity allocation scheme for the distribution network, and a reference is provided for the distribution network energy storage optimization configuration method.

The invention relates to a power equipment maintenance decision-making method, and particularly relates to a power equipment maintenance decision-making method utilizing an equal degradation theory and equipment risks. According to the invention, the equal degradation theory is introduced into the power industry, analysis and comparison are performed on changes in equipment risk before and after maintenance by sufficiently considering changes in equipment failure probability before and after maintenance, and the equipment maintenance cost is considered so as to acquire an optimal maintenance scheme. The power equipment maintenance decision-making method starts from the view of asset management, the cost required by equipment in the whole life cycle is enabled to reduce to minimum, and a balance point is found between self values of the equipment and economic benefits brought by the equipment to a system, between LCCM (Life Cycle Costing Management) and equipment maintenance and between technologies and management of the power system.

The invention discloses a transformer substation full-life cycle cost estimation method. According to the method, seven variable quantities including equipment quality, operation and maintenance level, construction level, defect fault rate, transformer substation structure, material recoverability and system environment are subjected to symbolic description based on symbolic dynamics; further, based on a genetic algorithm, assessment is conducted by a Bezier curve, so that not only can cost distribution of a transformer substation construction scheme be analyzed, but also full-life cycle costs for different construction schemes can be compared, and decision support is provided for a preferred scheme. The transformer substation full-life cycle cost estimation method has the advantages that comprehensive optimization of transformer substation full-life cycle cost estimation can be achieved, and schemes of all parts of the full-life cycle costs are optimized quickly based on the Bezier curve, so that convergence speed can be increased.

The invention discloses a method for estimating system equipment cost on basis of a whole life cycle, and belongs to the field of economic indicator calculation of comprehensive energy supply systems. The method is characterized in that the whole life cycle of equipment is estimated with purchasing time of the equipment as a time starting point and overhaul time of the equipment as a time ending point, the sum of all expenses for maintaining normal operation of the equipment in the time period is counted, and the value of the sum is the whole life cycle cost of the equipment. According to the method, the following indexes in the whole life cycle cost of the equipment of equipment purchasing and installation cost, equipment maintenance cost, equipment fuel cost and equipment overhaul cost are taken into consideration. Cost of the system equipment is analyzed on the basis of the whole life cycle, and the problem that when system planning is carried out, certain mistakes appear in model selection of the equipment, and consequently obtained benefits cannot recover maintenance cost in the operation process of the equipment can be solved. According to the method, the whole life cycle cost of the system equipment is calculated, and the method has important guidance significance in early planning and scheme selection of the system.

The invention provides an active distribution network planning method based on the total life cycle cost. The method comprises the steps that the active power of a DG is set; active management of on-load voltage regulation of a transformer is conducted; active management of a reactive power compensator is conducted to keep the reactive power of a distribution network to be in a given range; load modeling is conducted, and constraint formulas of the voltage, the active power and the reactive power are defined; target functions including the investment cost of the DG, the maintenance and operation cost of the DG, the electricity price cost needed when electricity is purchased from an electricity selling company, the cost of active power consumption, the expected value of the active power and the cost of active management equipment are determined; and finally a total cost function is solved. Meanwhile, the method based on the total life cycling cost is adopted in planning, and the operation cost of the active distribution network is effectively calculated.

The present application relates to a micro-grid energy storage optimal configuration method and device in consideration of full life cycle cost. The micro-grid energy storage optimal configuration method in consideration of full life cycle cost includes: obtaining the data of an energy storage system to be configured to obtain target data; obtaining a pre-established energy storage optimization model, the energy storage optimization model including an outer layer optimization model and an inner layer optimization model; based on the target data, obtaining the optimal solution of the energy storage optimization model by a genetic algorithm and a simulated annealing algorithm so as to obtain an optimal configuration result, wherein the optimal configuration result at least includes the ratedpower, the rated capacity and the economic operating power; and configuring the energy storage system to be configured according to the optimal configuration result. The method provided by the present application can minimize the cost and maximize the benefits of the energy storage system during the full life cycle.

The invention discloses a risk index-containing transformer full-life cycle cost probability assessment method. The method comprises the steps of determining triangular distribution parameters of random variables required for simulation, and determining a maximum simulation frequency N at the same time; calculating probabilities of the triangular distribution parameters by utilizing a triangular distribution function to obtain the random variables of the triangular distribution parameters; constructing a transformer full-life cycle cost probability assessment model by utilizing the random variables of the triangular distribution parameters; calculating the transformer full-life cycle cost probability assessment model by utilizing a Monte-Carlo simulation method, stopping a Monte-Carlo simulation process when a standard deviation (R<0.1) or a simulation frequency reaches the maximum frequency N, and recording full-life cycle cost calculation results obtained by simulations in the process; analyzing the full-life cycle cost calculation results to obtain a transformer full-life cycle cost probability distribution result; and the like. According to the method, an assessment result can provide an effective decision-making basis for transformer model selection and assets management.

The invention belongs to the field of road maintenance engineering, and particularly relates to a pavement maintenance scheme decision-making method based on life cycle cost analysis, which comprisesthe following operation steps: S1, determining a functional unit; S2, determining a maintenance opportunity; S3, evaluating the time value of funds, and carrying out economic analysis on the initial construction cost, the operation period management and maintenance cost, the environment cost and the residual value index in the life cycle of different maintenance schemes; S4, performing life cyclecost analysis. According to the pavement maintenance scheme decision-making method based on life cycle cost analysis provided by the invention, the concepts of life prediction and life cycle cost arecombined; the decision of a maintenance scheme in highway engineering is more reasonable, engineering construction, the service level of the service life and long-term investment control are guaranteed more powerfully and comprehensively, road management and maintenance funds are used more reasonably, and the cost performance is higher.

The invention discloses a power grid infrastructure project optimization method based on life cycle cost. The method comprises the following steps: setting a plurality of alternative construction schemes for a power grid infrastructure project according to a construction target; acquiring a plurality of sample data sets in one-to-one correspondence with the plurality of alternative construction schemes, wherein each sample data set comprises cost data, economic data and technical data of the power grid infrastructure project in the whole life cycle; performing conversion on the cost data in each sample data set through a preset LCC model to obtain a corresponding life cycle cost; comprehensive analysis is carried out on each whole life cycle cost and corresponding economic data and technical data; and according to a construction scheme decision rule and the plurality of sample analysis results, identifying a priority construction scheme from the plurality of alternative construction schemes for constructing a power grid capital construction project. According to the design, it is guaranteed that the priority construction scheme is provided for the power grid infrastructure project more accurately and reasonably, and the method has simplicity, reliability and practicability.

The invention discloses a 360-degree life cycle guarantee system, comprising a life cycle information obtaining module, which obtains the information of a baby in a mother's abdomen, and obtains the life cycle information of a user from an infant stage to an old age stage with the birth and the growth of the baby, and aggregates the information into a data storage module; the life cycle information obtaining module obtains the information of the infant in a mother's abdomen, and the life cycle information of the infant stage to an old age stage with the growth of the baby. Public service information obtaining module that obtains public service information that can be provided for a user, and summarizes the public service information to a data storage module; data storage module, receivinginformation sent by a life cycle information obtaining module and a public service information obtaining module; a data analysis module, acquiring life cycle information stored in the data storage module and public service information corresponding to the life cycle stage; the data pushing module pushes the public service information of the corresponding stage to the user. The invention integratesand pertinently provides various service guarantees needed by a person all his life to a user, and provides a directional, accurate and effective supply service for the user.

The invention discloses a power distribution cable decommissioning decision-making method based on whole life cycle cost conversion. The method comprises the following steps: establishing a cable equipment service age recovery model for maintenance decision-making; establishing a risk assessment model of the distribution cable; establishing a whole life cycle cost model of the distribution cable; based on the risk assessment model and the whole life cycle cost model, establishing a risk assessment and cost analysis model under different maintenance modes; and formulating a distribution cable maintenance or decommissioning strategy by adopting a risk income and cost ratio criterion based on the risk assessment and cost analysis model under different maintenance modes. The maintenance and replacement strategy of the power distribution cable is comprehensively formulated through the whole life cycle cost and risk assessment, so that a proper maintenance plan can be formulated, the operation reliability of the power distribution cable is improved, and the problems of insufficient maintenance and excessive maintenance existing in traditional preventive maintenance are avoided; moreover, the cost of the whole life cycle of the distribution cable can be greatly reduced, and the operation reliability and economical efficiency of the power distribution cable are effectively improved.

The invention discloses a technical improvement strategy optimization and adjustment method for old equipment of a power grid. The method comprises the following steps: acquiring historical data and real-time data of the whole life cycle cost of the old equipment; establishing a regionalized classification model to pre-process the data; performing comparison evaluation on the historical data and the real-time data to obtain a differentiation value range of each piece of data; determining an evaluation index according to the set cost and the difference value range of the old equipment; testing the old equipment, comparing test data with real data of the old equipment to obtain differentiated data, and judging influence factors of bad working conditions through the differentiated data; different types of technical improvement strategies are set according to the influence of the influence factors on different working conditions of the old equipment; and calculating an evaluation index weight of each influence factor of the old equipment so as to obtain an evaluation value of a technical improvement strategy of the old equipment, and taking the technical improvement strategy with the highest evaluation value as an optimal scheme. According to the design, optimization and adjustment of a technical improvement strategy are facilitated, and the technical improvement cost is reduced.

The invention provides a method and a system for reducing the whole life cycle cost of power generation equipment. The method comprises the following steps: selecting an evaluation target for influencing the whole life cycle cost sensitivity analysis of the power generation equipment; selecting at least two sensitive factors for analysis from a plurality of factors influencing the whole life cyclecost of the power generation equipment; and analyzing the at least two sensitive factors based on the evaluation target to obtain an influence relationship of the at least two sensitive factors on the evaluation target, and determining a cost value corresponding to each sensitive factor of the power generation equipment according to the influence relationship. According to the method, a theoretical basis is provided for saving the whole life cycle cost of the power generation equipment by determining the influence relationship of at least two sensitive factors on the evaluation target.

The invention discloses a power generation and transmission multi-stage joint expansion planning method and system. The method comprises the following steps: reducing operation data with space-time characteristics by using a fuzzy clustering method to serve as a planned operation scene in a research period, and establishing a multi-objective and multi-stage power generation and transmission jointexpansion planning model for optimization by taking the full life cycle cost and cascading failure risk as economy and reliability targets and taking each horizontal year within a research year as a planning stage. According to the method, the economy and the operation reliability of the system are coordinated within the whole research period, a progressive expansion planning mode that a network source structure is matched with a load demand is formed, and a Pareto optimal solution set and a recommended staged expansion planning sequence can be obtained through optimization.

The present application relates to a method and device for optimizing configuration of microgrid energy storage in consideration of full life cycle cost. The microgrid energy storage optimization configuration method considering the life cycle cost includes: obtaining the data of the energy storage system to be configured to obtain the target data; obtaining a pre-established energy storage optimization model, the energy storage optimization model includes the outer layer optimization model and An inner layer optimization model; according to the target data, the optimal solution of the energy storage optimization model is solved by a genetic algorithm and a simulated annealing algorithm to obtain an optimal configuration result, and the optimal configuration result includes at least the rated power, the rated capacity and the economical operating power; configuring the energy storage system to be configured according to the optimized configuration result. The method provided in this application can minimize the cost and maximize the revenue of the energy storage system in the whole cycle.

The invention discloses an equipment cost verification method based on an LCC model, and the method comprises the following steps: obtaining a single-source cost data set of power transformation equipment in the same whole life cycle, and carrying out the time sequence subentry calculation of the single-source cost data set through a preset equal-year cost calculation model, and obtaining a single equal-year cost set of the power transformation equipment in the whole life cycle; then, through a preset life cycle LCC model, respectively carrying out time sequence summarization on the equal-year cost sets to obtain a total cost sequence of the power transformation equipment in the life cycle; dividing the total cost sequences into first total cost sequences and second total cost sequences; and then performing advantage and disadvantage test on the second total cost sequences according to the first total cost sequences. According to the design, advantages and disadvantages of the whole life cycle cost of the power transformation equipment can be verified, simplicity, reliability and applicability are achieved, and a decision basis is provided for deployment of the power transformation equipment in the future.

The invention provides a user side energy storage capacity configuration method based on a portfolio theory. The method comprises the following steps of S01, predicting energy storage life; S02, establishing an energy storage full life cycle optimization configuration model based on the portfolio theory; S03, obtaining the energy storage capacity configuration according to the configuration model; wherein the step S02 comprises the portfolio, the energy storage operation benefits and risks in different markets and an energy storage operation benefit calculation model. Aiming at a user side energy storage economic capacity optimization configuration problem, the method fully considers a market in which user side energy storage can participate and make profits and the possible risks, considers the energy storage actual operation life calculation, and establishes the energy storage optimization configuration model based on the portfolio theory on the basis of a whole life cycle cost, and the values and possible risks of the user side energy storage in different markets are fully mined.

A method for assessing the life cycle cost of a cable line steel support. This method is aimed at the steel support. Through the calculation of the steel support stress of the cable gravity load, the corresponding support structure and the equipment material cost can be obtained. On this basis, the initial cost can be calculated. The equipment cost in the investment cost; the induced eddy current and its power loss on the steel support can be calculated through the electromagnetic field, and the increased operating cost can be calculated on this basis; through the coupling numerical calculation of the electromagnetic field, the flow field and the temperature field, Obtain the temperature change on the steel support, and then calculate the corrosion rate of the steel support according to 7 factors such as air humidity in the tunnel, and on this basis, calculate the increased operation and maintenance cost; combine these factors and apply the whole The life cycle cost theory evaluates the economy of cable lines, and provides a new idea and theoretical basis for the design and selection of support for cable lines.

A method for assessing the life cycle cost of a cable line steel support. This method is aimed at the steel support. Through the calculation of the steel support stress of the cable gravity load, the corresponding support structure and the equipment material cost can be obtained. On this basis, the initial cost can be calculated. The equipment cost in the investment cost; the induced eddy current and its power loss on the steel support can be calculated through the electromagnetic field, and the increased operating cost can be calculated on this basis; through the coupling numerical calculation of the electromagnetic field, the flow field and the temperature field, Obtain the temperature change on the steel support, and then calculate the corrosion rate of the steel support according to 7 factors such as air humidity in the tunnel, and on this basis, calculate the increased operation and maintenance cost; combine these factors and apply the whole The life cycle cost theory evaluates the economy of cable lines, and provides a new idea and theoretical basis for the design and selection of support for cable lines.

According to the invention, a power transmission network investment scheme evaluation process and an index system are constructed; all indexes of the whole power transmission network scheme are preliminarily calculated in combination with a highly refined full life cycle cost (LCC) and benefit calculation mode, the subjective weight of each index is solved by using a fuzzy analytic hierarchy process, and the final superior scheme is finally obtained by using the sorting of each weight and the relative membership degree, so that the purpose of investment decision is achieved.

The invention discloses a calculation method for data asset whole life cycle cost, comprising steps of establishing a cost model showing the general expenses of the data asset in the whole life cycle from creation to retirement destroy, wherein the various costs comprise data asset initial investment, operation and maintenance cost in the process of data asset usage, fault cost and retirement disposition cost after the retirement of the data asset, (2) calculating the present value and the final value of the initial investment cost of the data asset according to the cost model, and calculating the present value and the final value of the operation and maintenance cost in the data asset whole life cycle according to the various annual operation and maintenance costs of the data asset in the whole life cycle cost.

The invention relates to the technical field of power system optimization, and provides a distribution network equipment capacity and line type selection configuration optimization method and system, and the method comprises the following steps: collecting power distribution network frame data, historical operation data and equipment information for planning selection; establishing a whole life cycle cost calculation model; determining a planning range of distribution network equipment and line type selection; performing scheme traversal matching based on the planning range according to the acquired power distribution network frame data, historical operation data and equipment information available for planning selection, and generating a plurality of configuration schemes; and inputting all the configuration schemes into the full-life-cycle cost calculation model, calculating the full-life-cycle cost of each configuration scheme, and selecting the configuration scheme with the minimum full-life-cycle cost as the optimal configuration scheme for output. According to the method, the purpose of considering long-term economy and safety of power distribution network planning is achieved through a full-life-cycle cost model and considering load increase safety.

The invention discloses a method for optimizing the type selection of distribution transformers, which collects the models and related parameters of distribution transformers that can be selected in the station area, and based on the load data of the previous year in the station area, based on the load of the nth year in the forecast planning period, Set the width of the load interval, arrange the load intervals from small to large according to the load value, obtain the load distribution curve, count the load interval under the maximum probability coefficient, calculate the upper limit and lower limit of the economical operation area of ​​the transformer, and obtain the economical operation area of ​​the transformer , calculate the selection range of transformer economic capacity, establish a distribution transformer life-cycle cost model considering the risk cost, calculate the life-cycle cost of each distribution transformer in the sequence, and select the transformer model with the smallest total cost as the optimal transformer. The present invention effectively provides a method with high utilization efficiency, low operating cost and can ensure more optimal operation of the transformer by considering the maximum probability distribution coefficient and risk cost in the load interval.

The invention relates to a method for optimizing the redundancy of a large-scale offshore wind farm power collection system, comprising the following steps: 1) designing a redundant structure of the offshore wind farm power collection system according to the wind turbine coordinates, submarine cables and electrical equipment data of the offshore wind farm; 2) According to the design results of the redundant structure of the offshore wind farm collector system, define the redundancy degree of the collector system to indicate the redundancy degree of the redundant structure of the collector system, and calculate the various costs of the collector system under different redundancy degrees; 3) According to the various costs, calculate the full life cycle cost of the offshore wind farm power collection system under different redundancies, and the design with the lowest life cycle cost is the optimal design of the power collection system redundancy. Compared with the prior art, the invention has the advantages of high reliability, good economy, consideration of different redundancy and the like.

The present invention is a capacity planning method for a pumped storage power station based on the whole life cycle cost theory. The life-cycle cost model of the power station; then, under the given scenario of the system load curve and wind power output, use the coordination relationship between the output of thermal power and the output of the pumped storage power station to analyze the impact of the pumped storage power station on the thermal power system and the wind power system. The benefits and self-generated benefits are combined with the life-cycle cost and operation-related constraints to establish the comprehensive benefit model of the pumped storage power station; finally, the particle swarm optimization algorithm is used to solve the comprehensive benefit model of the pumped storage power station. The planned capacity of the pumped storage power station is obtained when the comprehensive benefit is maximized.

The invention relates to a power equipment maintenance decision-making method, and particularly relates to a power equipment maintenance decision-making method utilizing an equal degradation theory and equipment risks. According to the invention, the equal degradation theory is introduced into the power industry, analysis and comparison are performed on changes in equipment risk before and after maintenance by sufficiently considering changes in equipment failure probability before and after maintenance, and the equipment maintenance cost is considered so as to acquire an optimal maintenance scheme. The power equipment maintenance decision-making method starts from the view of asset management, the cost required by equipment in the whole life cycle is enabled to reduce to minimum, and a balance point is found between self values of the equipment and economic benefits brought by the equipment to a system, between LCCM (Life Cycle Costing Management) and equipment maintenance and between technologies and management of the power system.

The present invention provides a method and system for evaluating the life-cycle economics of a solar-storage-charging integrated power station. Under the scenario of using a chemical battery as an energy storage system, the annual maximum cost of a photovoltaic electric vehicle charging station considering the life-cycle cost of an energy storage battery is With revenue as the goal, establish a life-cycle revenue model for photovoltaic-storage-charge integrated power stations, use multi-population genetic algorithm to solve the established revenue model to determine the optimal photovoltaic and energy storage capacity when the revenue is maximized, and then combine to establish technical economic benefits and financial benefits The mathematical model of the indicator and the probability model establish a model to evaluate the life cycle economics of the integrated solar-storage-charger power station to evaluate the economic benefits. The method and system have established a model for evaluating the life-cycle economics of a solar-storage-charge integrated power station, and evaluated the economics under different solar-storage capacity configurations, and have better verified the effectiveness of adding battery energy storage to a photovoltaic vehicle charging station. Necessity and its possibility of optimal gain.

The invention relates to a method for analyzing influence factors of the whole life cycle cost of a power transformer. The method comprises the following steps: establishing a mathematical model of the whole life cycle cost of the power transformer; according to the mathematical model of the whole life cycle cost of the power transformer, establishing a power transformer system dynamics model based on the whole life cycle cost of each influence factor; carrying out simulation operation on the power transformer system dynamic model to obtain a simulation value of the whole life cycle cost of the power transformer; adjusting the value of each influence factor, judging the influence of each influence factor on the whole life cycle cost of the power transformer, and determining the key influence factor. Starting from the system dynamics theory, the whole life cycle cost of the power transformer is calculated, the change process of the whole life cycle cost and the cost influence factors can be directly reflected by adjusting the values of the parameters, the influence of the whole life cycle cost on the total cost is further researched, the key cost influence factors are determined, and the method is good in practicability and worthy of popularization.