781 results about "Electricity market" patented technology

Utilization of the E-Metro Community and Personal Information Agents assure an effective and comprehensive agent-rule based command and control of informational assets in a networked computer environment. The concerns of informational privacy and informational self-determination are addressed squarely by the invention affording persons and entities a trusted means to author, secure, search, process, and exchange personal and / or confidential information in a networked computer environment. The formation of trusted electronic communities wherein members command and control their digital persona, exchanging or brokering for value the trusted utility of their informational assets is made possible by the invention. The present invention provides for the trusted utilization of personal data in electronic markets, providing both communities and individuals aggregate and individual rule-based control of the processing of their personal data.

The apparatus, systems and methods herein facilitate generation of energy-related revenue for an energy customer of an electricity supplier. The apparatuses and methods herein can be used to generate operating schedules for a controller of the energy assets. When implemented, the generated operating schedules facilitates derivation of the energy-related revenue, over a time period T, associated with operation of the energy assets according to the generated operating schedule. The energy-related revenue available to the energy customer over the time period T is based at least in part on a wholesale electricity market.

A metering device that allows the two-way exchange of electrical energy between the power grid and electric vehicles by giving customers the option to upload electrical energy from their vehicle's electrical power system to the power grid or to another vehicle, or the option to download electrical energy from the power grid or another vehicle, to charge their vehicle's electric storage system, depending on the current market price of electricity. This allows users to both buy and sell electricity as a commodity to offset their fuel costs and to generate income. The metering device and the associated server may maintain a database of the user's preferences and identification. The metering device may allow customers to upload and sell electricity from their vehicles during peak, high cost, energy consumption periods, download and buy electricity to their vehicles during low energy, low cost, consumption periods, or algorithmically engage in bi-directional transfer depending on the user's preferences and other variables (see [0043]) in order to maximize the customer's monetary returns and minimize the customer's monetary expenses.

An efficient system for implementing an electronic market. The system includes a first mechanism for defining a set of attributes and associated descriptor variables involved in market transactions. Importance values are assigned to the descriptor variables by the first mechanism. A second mechanism computes match scores for the market transactions based on the importance values. A third mechanism employs the match scores to clear the electronic market. In the specific embodiment, the first mechanism includes an administrator interface, which allows an administrator to define the descriptor variables. A configurator communicates with the administrator interface and allows the administrator to assign a first set importance values to corresponding descriptor variables. The first set importance values includes default importance values or importance values assigned to the descriptor variables by a seller seeking to transact with a buyer via the electronic market. The administrator interface allows an administrator to configure a user interface of the market to allow market participants to assign a second set of importance values to different descriptor variables. The second set of importance values includes buyer and seller importance values. The descriptor variables and associated descriptor importance values may be continuous or discrete. A matching engine computes the match scores for market transactions based on a predetermined evaluation method specified via the administrator interface and based on a unique match score computation method.

The invention relates to an operation and safety monitoring simulation system for a power system, which comprises a power system full digital real-time simulation subsystem used for simulating the operation of a large-scale power system in real time and providing simulation data to other subsystems, a power market simulation subsystem used for simulating and training power market transaction, a PMU / WAMS subsystem used for carrying out real-time dynamic monitoring and analysis on a simulated power system, an SCADA / EMS subsystem used for monitoring and analyzing the simulated power system, a fault information management subsystem used for managing and comprehensively utilizing fault information, a power system dynamic safety assessment and early warning subsystem used for carrying out safety assessment and early warning on the current power system and carrying out safety verification on the operation mode of a future plan, a safety and stability control system performance test subsystem used for testing the performance of a protective relay device, a power system stabilizer (PSS) and other automated equipment as well as a safety and stability control system and equipment, a power system fault diagnosis subsystem used for carrying out on-line diagnosis and intelligent safety alarming on the fault of the simulated power system and providing a dispatching control decision under the fault condition, and a power system recovery control subsystem used for recognizing the state of the fault of the simulated power system, searching and inferring the power supply path of an outage region and providing a power grid recovery control strategy. The system can simulate the operation of a large-scale power grid in real time, and can be used for searching and comprehensively testing the technology and software of various power systems in dispatching, operation, control and other aspects.

The invention discloses a smart management system for energy management and electricity transaction in a virtual power plant and a method for optimizing operation thereof. A distributive energy unit serves as terminal energy and an information source apparatus of the virtual power plant smart management system, and thus a distributive resource system is formed. The virtual power plant smart management system is composed of an operation data collection and management module, an enterprise resource management, prediction and resource deployment combination module, an electricity selling plan optimization module, a transaction platform module, a real-time scheduling optimization module, and a control scheduling execution and synchronous simulation function module. According to the invention, distributive energy information management which is featured by a distributive power generation and energy storage apparatus and a flexible load device is adopted. An entire system architecture is provided for implementing all necessary function modules, such as prediction, resource combination management and deployment optimization, power supply and scheduling optimization, market transaction, real-time monitoring and scheduling. The system and method of the invention have great potential in new energy sources, distributive power generation and electricity sell, and in future power system for realizing efficient demand side power management, and in power market environment after power reform.

A new disposition of energy use and electricity cogeneration facilities at a customer's premises that enables even a small customer to choose one or more forms of primary energy from among available energy sources, so as to reduce the overall capital and operating costs of meeting own load requirements. Takes into consideration opportunities to save money by way of reducing own load and / or opportunities to earn money by exporting electricity to the mains grid whenever electricity market prices are high, and / or benefiting from payment for network support and ancillary services where such schemes apply. For operations requiring a high level of reliability, opportunity is provided to achieve a desired level of reliability for operations at the premises without recourse to extra cost of duplicate electricity supply connecting lines or expensive stand-by power generation facilities.

The invention discloses a virtual power plant optimization trading strategy model based on two-stage stochastic programming. The virtual power plant optimization trading strategy model based on two-stage stochastic programming comprises the following steps of S1, according to a power market rule, summarizing a VPP bidding process and the theoretical basis such as a multi-scenario technique; S2, establishing the objective function of the virtual power plant optimization trading strategy based on two-stage stochastic programming; S3, establishing the constraint condition of the virtual power plant optimization trading strategy based on two-stage stochastic programming. In consideration of the influence of clean energy output and market electricity price uncertainty on the participation of avirtual power plant in the current market and balanced market bidding strategies, the multi-scenario technique is used to simulate a uncertainty factor and construct the virtual power plant optimization trading strategy model based on two-stage stochastic programming to maximize the operation efficiency of the virtual power plant.

The apparatus, systems and methods herein facilitate generation of energy-related revenue for an energy customer of an electricity supplier. The apparatuses and methods herein can be used to generate operating schedules for a controller of the energy assets. When implemented, the generated operating schedules facilitates derivation of the energy-related revenue, over a time period T, associated with operation of the energy assets according to the generated operating schedule. The energy-related revenue available to the energy customer over the time period T is based at least in part on a wholesale electricity market.

The invention discloses a two-stage optimized dispatching method for a virtual power plant. The two-stage optimized dispatching method comprises the steps of acquiring the power generation and power utilization information of an internal power source of the virtual power plant, and simultaneously, acquiring excitation information from a power company or a power market outside the virtual power plant, constructing an economical dispatching model, substituting the obtained information in the economical dispatching model and carrying out optimization solution, constructing a safe dispatching model, substituting network constraint information and a obtained dispatching scheme into the safe dispatching mode, and solving by a particle swarm optimization algorithm to obtain the final dispatching scheme. The two-stage optimized dispatching method for the virtual power plant is capable of realizing effective management on a large-scale distributed power source, an energy storage device, controllable load and the like, and a large-scale complex power dispatching and planning problem is decomposed into two dispatching subproblems, namely, an economic dispatching problem and a safe dispatching problem, and in addition, the complexity of calculation is reduced and the calculation time is shortened while the economical efficiency and the reliability of the dispatching scheme are guaranteed.

The invention discloses a transaction method based on a blockchain-based electricity market, comprising the following steps: information acquisition step: acquiring electricity transaction information and obtaining user information according to the electricity transaction information; assigning node step: searching transaction nodes from the system according to user information and Randomly select a trading node and assign it to the user; broadcasting step: send the power transaction information to all other trading nodes in the system by broadcasting; judging step: receive the results returned by all other trading nodes and make the decision according to the consensus algorithm Determine whether the transaction is successful, if so, store the power transaction information on the corresponding blockchain; result sending step: return the corresponding transaction result to the corresponding transaction node of the user, thereby notifying the user whether the transaction is successful. The invention also discloses an electronic device, a readable storage medium and a transaction device. Through the invention, the transaction in the electric power market has the characteristics of good security, high stability, simple operation and the like.

The invention discloses an output optimal operation method of a thermal power unit in the environment of ensuring electricity price bidding marketization, and the method comprises the following steps: establishing a manual input cost parameter table and a unit production real-time system database; establishing a generating fuel cost curve of the unit; calculating the start-stop cost and the fixed cost of the unit; calculating the environment cost of the unit, internalizing the environment cost and calculating the environment cost directly according to harmful gas emission and a discount standard; analyzing bidding risk; establishing an objective function of a mathematical model of economic operation of a single unit based on profit maximization; guaranteeing constraint conditions of optimal operation of the unit; and establishing the best output model table of the unit at various periods. The method considers the factors of environmental protection cost and bidding risk comprehensively, thus reducing harmful gas emission of the power plant when a generation company does not add environmental protection equipment, and moreover, reasonable analysis of the bidding risk can realize price bidding of low risk and high profit.

Methods and systems of enforcing a demand reset in a meter that communicates via a wireless network. When billing data is received by a server, it is accompanied by a demand reset counter. The counter is compared to a counter stored on the server. If they received counter is less than the server counter, it is determined that the meter missed a demand reset. The server then instructs the meter to perform a billing read and to perform a demand reset to ensure that accurate demand data is received by the server.

The invention provides an electricity market simulating system by adopting an SOA technology, which realizes global simulation for current electricity market of the country, provides technical support means for simulating electricity market operation and electricity system operation in different environmental conditions and market behaviors, globally evaluating market status, preventing market risks, verifying market rules, studying safe and stable operation strategy and measures of the electricity system under electricity market condition, and training electricity market related working staff, and provides a reliable technical analysis tool for high-efficiency excellent operation of the electricity market of the country.

The disclosed real-time method to prevent electric larceny comprises: monitoring the transformer substation pass, 10KV distribution lines, special user and public power parameter by a high-voltage electric energy collection terminal; monitoring original parameters by a low-voltage electric energy collection terminal; using a wireless digital communication network to send data to the monitor center to store in database for classification and analysis, then auto drawing load curve and charge curve for different monitor point. This invention has well monitor effect and can alarm by SMS.

A process / method is provided for the next generation of electricity market systems that support competitive trading of electric energy and ancillary services within day-ahead and real-time market operation frameworks. The invention comprises the systems and methods related to advances in electricity market architecture, functionality, and performance. The systems and methods of the invention ensure system operation reliability and maximize market economic efficiency of energy and ancillary services trading in competitive market environment.A process / method comprising optimal clearing and competitive price formation for a variety of market commodities that are supplied and consumed by a numerous market entities of a variety of types. The solution process is arranged and facilitated in controllable and efficient manner.

The invention relates to an active power distribution network coordination planning method considering a multi-subject benefit game. The method comprises the following steps of: firstly, determining respective objective functions and constraint conditions by taking the maximum annual net income as an objective of a network-source-load main body, and respectively establishing independent planning models of a network layer, a source layer and a load layer; then, an upper-layer strategy type game planning model is established with the fact that the three-party subjects achieve respective benefitbalance and stability in the game as an upper-layer target; taking the minimum reduction amount of the distributed power supply corresponding to wind curtailment and light curtailment as a target, andestablishing a lower-layer active management model by considering on-load transformer tap adjustment and energy storage adjustment; information transmission of the upper-layer game planning model andthe lower-layer active management model is considered, and a complete active power distribution network coordination planning model considering the multi-subject benefit game is established. The model established by the invention better adapts to maximization of benefit pursuits of all subjects in the gradually open power market, and the planning scheme solved based on the model can realize 'network-source-load' multi-subject friendly interaction and coordinate the overall planning.

The invention discloses a virtual power plant optimization scheduling method based on a master-slave game strategy. The method comprises the following steps: 1, analyzing and constructing a virtual power plant model containing multiple load types; 2, establishing a virtual power plant transaction model based on an existing power market transaction mechanism; 3, establishing a risk cost model considering uncertain factors; 4, carrying out optimal scheduling on the virtual power plant by adopting a master-slave game strategy; And 5, solving the optimized scheduling model through a reinforcementlearning algorithm. According to the method, the volatility of distributed energy output in the virtual power plant and the uncertainty of load prediction are considered, an economic dispatching modelof the virtual power plant in the power market is constructed, and a master-slave game strategy and a reinforcement learning algorithm are adopted for optimization solution, so that the purposes of improving the production benefits of the virtual power plant and reducing the load power purchase cost are achieved.

The invention relates to a quality management and control method for electricity transaction data warehouses and a management and control system thereof. The method comprises the following steps: defining checking metadata and checking rules; setting checking tasks; performing checking service; releasing a data checking result; and handling and tracking quality problems. According to the technical scheme of the invention, the rationality, consistency, integrality and timeliness of data are judged by aiming at a data set and through flexible definition of the checking rules, statistical and historical trend analysis is made on four management and control indicators, and a problem handling and tracking feedback mechanism is designed to facilitate quality control measure formulation by management personnel. After implementation, the system, as an important part of an electricity market data warehouse, provides a data quality guarantee for advanced analysis and mining application of the market.

The invention discloses a clearing method of an electric power market. At first, a security constraint unit combination model is established according to the data of a power system, a unit start-stopplan is obtained by solving the security constraint unit combination model, and, according to the output and price application of the day-ahead start-up units in the FM market in the unit start-stop plan, after clearing, the pre-clearing result of the FM auxiliary market is calculated, so that the clearing of FM auxiliary market is realized. The upper and lower output limits of the pre-clearing unit are corrected according to the pre-clearing result, and, based on the modified upper and lower output limits, a security constraint economic dispatching model is established. The day-ahead unit output plan is obtained by solving the model, which realizes the day-ahead power market clearing, and the day-ahead power generation plan which is closer to reality is obtained by reserving the system FMunit capacity, so as to prevent the mismatch between the clearing result and the actual demand of the system and ensure the executability of the clearing result of the day-ahead dispatching plan. Theinvention also discloses a clearing device and clearing equipment of an electric power market, which have the beneficial effects mentioned above.

The invention discloses a sensitivity factor based calculating method for power grid node marginal pricing. The method is performed through the following steps: determining the calculating period for node marginal pricing, obtaining the sensitivity factors of a power grid, building a power market clearing optimal model based on the sensitivity factors, adopting a linear programming method to solve the model, calculating the shadow price under constrained conditions and finally generating the clearing result of the power grid node marginal pricing. According to the invention, high calculating efficiency can be achieved. The method is suitable for addressing the market clearing problems in a large-scale power grid.

The invention discloses an electric power customer service big data decision support system. The system comprises a control module, a big data platform module, a data integration and treatment module,a basic application module, a high-level application module and a system management module, and the control module is used for controlling the big data platform module, the data integration and treatment module, the basic application module, the high-level application module and the system management module to execute corresponding operation. Therefore, by implementing the embodiment of the invention, the electricity utilization rule and market behavior of a client can be discovered in vast quantities of power distribution and utilization data; and related business requirements of all-aroundcustomer service system support, fine decision of power grid operation, expansion of emerging business and reform support of the power market are met by combining power marketing management requirements, enterprise informatization management requirements and driving of power reform and new form of the power market.

Disclosed herein is an automated Electronic Market-Maker, comprising a Market Quality Control Module for generating trading recommendations to maintain market quality; an Inventory Control Module for generating trading recommendations to maintain inventory; a Speculation Module for generating trading recommendations to generate profits; and an Arbitration Module to receive trading recommendations from said Market Quality Control Module, Inventory Control Module, and Speculation Control Module and resolve any conflicts between the received recommendations.

The invention discloses a medium-pressure microgrid chaotic PSO optimal power flow implementation method based on a real-time power price. According to the medium-pressure microgrid chaotic PSO optimal power flow implementation method based on the real-time power price, the problems of traditional optimal power flow algorithms in microgrid application are analyzed, and a self-adaptation inertia weight chaotic PSO optimal power flow algorithm is provided. On the basis of a traditional PSO, improved self-adaptation inertia weight factors are derived and the chaotic PSO concrete implementation method is provided. The self-adaptation inertia weight chaotic PSO optimal power flow algorithm aims at achieving the aim that the operating cost of a microgrid for 24 hours is minimum. The factors of a microgrid economic cost equation capable of exchanging with a large power grid in a bidirectional power flow mode, interruptible loads, a storage battery operating constraint equation comprising energy losses, environment, health and the like are considered, the real-time power price of a certain electric power market is combined, and on the premise that the requirement for loads is met, economic sharing of the interruptible loads, the storage battery, the DER and the power of the large power grid is achieved through a load curve obtained by load prediction.

The microgrid, which serves as an effective means for accessing distributed generation to the power grid, has gradually attracted wide attention. How to design an effective microgrid transaction mechanism and realize effective allocation of electric power resources is a key issue in the reformation of the electric power market. The invention designs a decentralized microgrid transaction mechanismand model. Both producers and consumers in the microgrid can initiate a real-time transaction request, and users are motivated to make rational bids by adopting bilateral auction rules; secondly, a microgrid operation method based on an Ethereum blockchain technology is proposed so as to ensure the transparency, openness and information symmetry of decentralized transactions, and the generation process and transaction settlement method of a smart contract for power transactions are described in detail.

The invention relates to a generating method of a universality cost space when an electric grid dispatching mechanism draws up generation plans meeting various security constraints, and provides a 'sequence cost space' construction method required by an optimization algorithm, including information of a generation dispatching loading sequence, a constraint adjustment sequence, and the like by summarizing production rules of dispatch and combining an electric power market with an economics theory of energy-saving dispatch. Cost management is cooperated in the process of solving security-constrained economic dispatch, such that the optimization algorithm can universally meet requirements on various generating modes of just, fair and open dispatch, energy-saving dispatch, cost dispatch, electric power market, and the like, and a new solving way is provided for realizing generation resource optimum distribution and large electric grid security constraint, reducing loss of the electric grid and further improving electric transmission and transformation resource. The invention provides a time-saving, labor-saving and universal cost space generation method without needing of carrying out complex mold construction and solution according to the particular case in the security-constrained dispatch.

A load flow calculation method of a distributed power supply connection power grid comprises the steps that S1. initial data of an electric power system are read; S2. sampling frequency N and the dimensions s of input random variables are determined; S3. an s * N order sampling matrix is generated; S4. sampling frequency is initialized, namely n is equal to 1; S5. whether n is larger than the sampling frequency N is judged, and yes, the probability statistics results of the variables are directly output; otherwise, S6 is carried out; S6. a wind power and photovoltaic power generation output model is determined, and a load random model is determined; S7. a load flow calculation model is determined; S8. an optimized economic model is determined; S9. load flow calculation is carried out; S10. data such as voltage, branch power and power generation cost of a <n>th node group are determined; and S11. a next round of load flow calculation is carried out, t is equal to t + 1, and S5 is carried out. The probability distribution of the output random variables can be estimated well, the uncertainty problem in an electricity market can be well solved, debugging manpower and material resources are saved, and production cost is lowered.

A control system and control method for controlling a modular apparatus for extracting petroleum and / or generating electricity based on subsurface data as well as market prices of electricity and / or petroleum. One or more probes measure subsurface total pressure, partial pressure of carbon dioxide, partial pressure of hydrogen, oil flow rate, gas flow rate, underground temperature, and / or viscosity of the oil. The control system / method controls the apparatus based on the subsurface parameters by controlling an injection module and / or a gas separator module to increase or decrease output of driver gas. The control system / method may also control the injection module and / or the gas separator module to increase (or decrease) output of driver gas when the market price of electricity decreases (or increases) and / or petroleum increases (or decreases).

The invention relates to a power utilization analysis method based on acquisition data of power utilization information, and relates to a power utilization analysis method. At present, power utilization is difficult to be analyzed and monitored, and the accuracy is low. The power utilization analysis method comprises the steps of 1) acquiring daily time-sharing load statistic data details of users; 2) grouping the detail data according to users and industries; 3) performing normalization processing; 4) performing k-means clustering calculation to acquire characteristic load curves of each industry and each user; 5) adjusting the number of the generated curves, acquiring obviously characterized curves, labeling the acquired curves, and corresponding each industry and each user to the respective characteristic load curves; and 6) extracting characteristic users according to the characteristic load curves, and performing comparative analysis on the characteristic load curves. The technical scheme provided by the invention improves the accuracy of a power utilization information acquisition system, and provides basic guarantee for supporting execution of tiered pricing for electricity, reinforcing lean management, improving the high-quality service level, extending the power market and innovating the transaction platform.

A method of segmenting a power distribution network which comprises a plurality of AC power generating stations synchronously interconnected by AC power transmission paths is disclosed. The stations operate within associated market sectors and are subject to associated market rules. The method includes identifying all transmission paths which extend between differing ones of the sectors and, in each of said transmission paths so identified, segmenting the path by inserting a controllable DC link at a selected location in the path. Each of the sectors is then operated asynchronously. Power flow and counter-flow between the sectors is controlled by controlling the DC links. As well there is disclosed a power transmission network which comprises a plurality of AC power generating stations operable within associated market sectors subject to associated market rules; power transmission paths interconnecting the stations, at least some of the paths extending between differing ones of the sectors; and wherein each of the paths which extend between differing ones of the sectors includes a controllable DC link in the path for desynchronizing the differing sectors; and, control means operatively connectable to each of the DC links for controlling power flow between the differing sectors.