30 results about "Prosumer" patented technology

A system and method perform electricity and heat load balancing within a community of energy nodes. The system includes a central control device to solve an optimization problem over a planning horizon and to run an allocation algorithm. Local agent devices communicate with the central control device. Each local agent device receives input parameters from an energy node. Each energy node includes electricity generation equipment, electrical heat-generating equipment, and power transmission equipment, electricity storage equipment and thermal storage equipment. The local agent devices operate the electrical heat-generating equipment based on an allocation instruction received from the central control device. The central control device receives status information from the local agent devices to determine an amount of energy to be converted from electricity to heat by the electrical heat-generating equipment of the energy nodes, to provide the allocation instruction to the energy nodes.

A residential electric grid (microgrid) is proposed as a distribution arrangement between a utility company and a group of individual residential consumers. The residential consumers are also viewed as “producers” of renewable energy and are defined as “prosumers”. An aggregator is used at the microgrid to negotiate with the utility on behalf of the group of prosumers, commanding a better price for excess electricity sold back to the utility (especially as part of a Demand Response (DR) program). Importantly, the microgrid is constructed to include energy storage capability at the microgrid. Therefore, the arrangement is capable of supplying power to the residential customers in the event of an outage at the macrogrid level, and also selling back the electricity to the utility as part of a DR program.

The present invention discloses a microgrid electrical energy random matching transaction method. The method comprises the following steps: (1) a large power grid determining power purchase and sale prices in the next time period and the allowed maximum purchase and sales quantities of electricity for each microgrid, and delivering to each microgrid; (2) as market participants, a distributed power source, a power consumer and an electrical energy random prosumer of the microgrid separately reporting a price and a transaction volume to the microgrid in advance; (3) as a market operator, the microgrid formulating and calculating a market parameter, delivering to the distributed power source, the power consumer and the electrical energy random prosumer, and declaring the opening of a random matching transaction market; (4) the market participants separately determining the purchase and sale electrical quantity, autonomously selecting a suitable bidding strategy, and reporting to the market operator; (5) the market operator delivering a random matching transaction result to each market participant, and randomly matching closing of transaction markets; (6) the market participants receiving and obeying the random matching transaction result; (7) the market operator reporting a purchase power quantity and sale quantity required by the power grid, and starting real-time electrical energy transaction; and (8) ending the real-time transaction, performing error compensation settlement according to a difference with a random matching transaction volume, and performing a price subsidy to an actual power generation amount of the distributed power source.

The invention discloses a micro-grid operational control method based on multiple agents. The electricity price serves as the main reference index of micro-grid operation, a renewable energy power generation device, a load, a turbine, a battery, a controller and the like in a micro-grid are abstracted into the multiple agents respectively, and therefore a dispersed multi-agent system is formed. In the system, the load agent plays a role of a consumer or a buyer, the renewable energy power generation device agent and the turbine agent play a role of a producer or a seller, the battery agent plays a role of a prosumer or a buyer and seller, the controller agent plays a role of a price maker, and peak and valley prices and whether electricity is bought from or sold to a main grid or not are determined by the controller. Based on the requirements for electricity prices, operating cost and the load, adjustment is conducted on all the agents through negotiation between the agents, and therefore intelligent operation of the micro-grid is achieved.

The invention discloses a shared energy storage control method and system for distributed renewable energy producers and disasters, and belongs to the field of energy consumption. The method comprisesthe following steps: minimization of the total energy cost of all prosumers, energy storage parties and operators participating in shared energy storage is taken as an objective function, wherein theenergy transaction cost in the power market takes downlink and uplink energy of an interface between an operator and a power system as decision-making quantity; the dispatchable load of the prosumergenerates benefits through power utilization, and actually control flexible load energy consumption in each prosumer control time period and energy consumption indirectly put forward to the energy storage party through an operator can serve as decision-making quantities; the energy storage loss cost of the energy storage parties takes the charging and discharging speed of each energy storage partyin the control time period and energy consumption proposed by a prosumer and indirectly received by an operator as decision variables, and constraint conditions are constructed for each decision variable to construct an energy system shared energy storage optimization control model; and the shared energy storage optimization control model of the energy system is solved by adopting distributed optimization to obtain a control scheme for multi-energy storage sharing by the prosumer.

The invention provides a multi-energy complementary large-scale intelligent pig raising industry ecologicalization mode, relates to the field of intelligent pig raising industry. The multi-energy complementary large-scale intelligent pig raising industry ecologicalization mode combines a low-carbon energy network with an intelligent large-energy base, so that decentralized power generation and active loads in a power distribution network are in a high-speed growth state, more power consumers are converted from single consumers into energy production type consumers, namely prosumers, electricity is provided for people, large-area prosumers can be cultivated, and the prosumers aggregate various resources such as a distributed power supply, energy storage, loads and the like dispersed in a power grid by virtue of the Internet and a modern information communication technology, collaborative operation control and market transaction are carried out, and auxiliary service is provided for thepower grid. According to the multi-energy complementary large-scale intelligent pig raising industry ecologicalization mode, the problems of garbage enclosing and garbage village enclosing faced by China are solved, solid waste resource utilization can be achieved through biogas engineering, and garbage and solid waste are subjected to energy utilization through distributed utilization, such as composting, biogas and power generation, and become one of renewable energy sources.

A hardware processor may be coupled to a communication network and receive charging requests and discharging requests from a plurality of prosumer facilities via the communication network. One or more energy storage systems may be coupled to an energy grid and able to charge from and discharge to the energy grid, and may communicate with the hardware processor via the communication network. Based on the charging requests and discharging requests, an energy schedule may be generated. The energy schedule may include a first set of the prosumer facilities from which charge requests are accepted, and a second set of prosumer facilities from which discharge requests are accepted. One or several energy storage systems may be controlled or triggered to charge or discharge repeatedly via the energy grid according to an updated energy schedule (e.g., regularly updated).

A power exchange management device includes: a power consumer service processor that receives bid solicitation information from a power consumer, the bid solicitation information being for soliciting exchange of power; a prosumer service processor that publicizes a bid solicitation condition on a terminal device of a prosumer on the basis of the bid solicitation information and receives application information responding to the bid solicitation information from the terminal device of the prosumer; a prosumer power transmission information acquirer that acquires information about an amount of power transmitted to the grid by the power transmission facility of the prosumer by reverse power flow; and a target manager (24) that compares the acquired amount of transmitted power with a target value set on the basis of the bid solicitation information and the application information and determines an incentive to be offered to the prosumer depending on a result of the comparison.

The invention discloses a Prosumer unit control method based on intelligent loads. The Prosumer unit comprises a family key load connected in parallel to a bus, a household photovoltaic and an electric vehicle household charging pile. The method includes the following steps: (1) a number of non-key loads capable of withstanding preset voltage offset are selected, a power spring is connected in series to each non-key load to constitute an intelligent load, and the intelligent loads are connected in parallel to a bus; (2) a power model of the Prosumer unit is constructed; (3) a power adjustmentinstruction for adjusting active and reactive power is issued to the power springs in the intelligent loads by monitoring the amplitude and phase change of the voltage on the bus; (4) an objective function with the real-time power balance of the Prosumer unit as a constraint and the minimum daily load fluctuation of the power of the Prosumer unit as an optimization objective is constructed, and the objective function is solved by using an NSGA-II algorithm, so as to decompose the power adjustment instruction issued to the intelligent loads; and (5) the non-key loads of the intelligent loads execute the power adjustment instruction obtained from decomposition. The problem that the power of the Prosumer unit is uncontrollable and has large daily load fluctuation is solved.

The invention describes a method for monitoring an energy feed-in point (ESP) of an energy supply network (EVN), particularly in the low voltage range, a number of first and second nodes (K11, K12, K13, K2) being connected or connectable to the energy feed-in point, the respective nodes (K11, K12, K13, K2) being an energy producer, an energy consumer or a prosumer. In the method according to the invention, an actual current which represents the current consumption or current output is detected at the energy feed-in point (ESP) by a measuring and monitoring device. A piece of current information (SI) received from one of the first nodes (K11, K12, K13), which represents an intended and / or a maximum possible current consumption or output of the first node (K11, K12, K13), is processed by checking whether a current value in the piece of current information (SI) fulfils a predetermined criterion in respect of a possible current value (MW) of the energy feed-in point (ESP). The possible current value (MW) is determined by a differential formed from the predetermined maximum current of the energy feed-in point (ESP) and the actual current. Finally, depending on whether the criterion at the first node (K11, K12, K13) is fulfilled or not, a message is transferred which confirms or denies the current consumption or output to the first node (K11, K12, K13).

The present invention relates to methods and apparatuses for allocating amounts of energy for prosumers, wherein the prosumers provide minimum and maximum amounts of energy for a future interval of time and the respective amounts of energy from the prosumers are generated in such a manner that, on the one hand, a relative position of the amount of energy within an interval for the particular prosumer, as defined by the minimum amount of energy and the maximum amount of energy, assumes an identical value for all prosumers and, on the other hand, a sum of the amounts of energy from all prosumers produces a value of zero. The invention can be used in the distribution of amounts of energy in a power supply system having conventional energy producers and energy consumers as well as in novel participants in the power supply system which can both consume and provide energy, for example an electric vehicle.

A model for balancing energy loads in a prosumer energy system, wherein the method combines multiple interacting technologies, behavioral responses and real-time energy interactions to offer a better evaluation of the prosumer energy system.

The invention discloses a control method of a distributed intelligent power grid monitoring system based on prosumers, which comprises the steps that a user is used for consuming electricity and generating electricity, each module i iteratively calculates an upper bound parameter and a lower bound parameter of the electricity generation quantity and the quantity of electricity transmitted to any other module j, and sends a calculation result to each module j after each iterative calculation until each parameter is converged, wherein the operation comprises the evaluation of the electricity generation capacity of each module in the power grid based on historical data and the setting of transmission parameters related to the carbon emission evaluation value and the transmission cost of eachmodule, and the environmental friendliness is taken into full consideration. During the convergence, each user carries out free transaction according to the price and the electricity quantity of the transaction conducted with each user or a power supply party, the selectivity of the user to the power supply party is enhanced through participation of the prosumer, and self-consumption of electric energy of the prosumer is promoted while reliable electric energy is provided for the user. In addition, the privacy of the user is also greatly protected through distributed monitoring.

The invention discloses a distributed prosumer energy sharing method based on a point-to-point platform. According to the invention, a point-to-point energy transaction model for coordinating regional power and natural gas systems is established, wherein the model introduces a point-to-point energy sharing framework, coordinates continuously infiltrating prosumers in the face of rapidly developing distributed energy, and establishes a distributed prosumer energy sharing model based on the point-to-point platform; and an energy sharing matching process is carried out through the point-to-point platform, so that direct energy exchange between distributed prosumers is realized. According to the invention, a large amount of point-to-point interaction between power and natural gas coupling units such as a gas turbine and electricity-to-gas can be promoted, the coordination of power and natural gas and the flexibility of multiple energy sources are improved, and certain economic values are achieved.

The invention discloses a control method of a distributed intelligent power grid monitoring system based on prosumers, which comprises the steps that a user is used for consuming electricity and generating electricity, each module i iteratively calculates an upper bound parameter and a lower bound parameter of the electricity generation quantity and the quantity of electricity transmitted to any other module j, and sends a calculation result to each module j after each iterative calculation until each parameter is converged, wherein the operation comprises the evaluation of the electricity generation capacity of each module in the power grid based on historical data and the setting of transmission parameters related to the carbon emission evaluation value and the transmission cost of eachmodule, and the environmental friendliness is taken into full consideration. During the convergence, each user carries out free transaction according to the price and the electricity quantity of the transaction conducted with each user or a power supply party, the selectivity of the user to the power supply party is enhanced through participation of the prosumer, and self-consumption of electric energy of the prosumer is promoted while reliable electric energy is provided for the user. In addition, the privacy of the user is also greatly protected through distributed monitoring.

Embodiments of the present invention provide a renewable energy consumption method and device based on an energy sharing game. The method includes: determining the parameters of prosumers participating in energy sharing and power system constraints; establishing a renewable energy consumption model based on an energy sharing game according to the parameters of the prosumers and power system constraints, and the possible The renewable energy consumption model includes the upper-level power system daily output and backup setting model and the lower-level energy sharing game model; the renewable energy consumption model is solved to obtain the optimal parameter configuration of the renewable energy consumption model, and The prosumers are made to participate in energy sharing according to the optimal parameter configuration. The embodiments of the present invention can provide technical reference for power system operation management under the background of vigorous development of distributed generating units, effectively reduce operating costs, and promote the consumption of renewable energy.

The invention discloses a virtual power plant regulation and control method based on a master-slave game, a storage medium and a device, and belongs to the field of virtual power plants. The method comprises the following steps: constructing a multi-prosumer virtual power plant; constructing a master-slave game model of a virtual power plant operator and prosumers; solving the master-slave game model, and determining an internal electricity purchasing and selling price of the virtual power plant; and according to the internal electricity purchasing and selling price, calculating to obtain an output plan of each prosumer and an overall output plan of the virtual power plant. The invention discloses a virtual power plant internal electricity purchasing and selling price setting method based on the master-slave game, and the method can comprehensively consider the benefits of two parties, set the electricity purchasing and selling price from the virtual power plant operator to the internal prosumers, obtain the optimal output plan of each prosumer according to the internal price, and determine overall external output of the virtual power plant.

The invention discloses an extensible energy management collaboration method for a community containing large-scale prosumers. The method comprises the following steps: firstly, providing a method which combines parameter sharing with a priority depth deterministic strategy gradient algorithm, and improving the learning efficiency and reducing the training difficulty through strategies and experience sharing between agents; secondly, constructing an end-to-end transaction platform to cooperate with electric energy transactions and sharing of prosumers in a community; executing reward correction to avoid a rebound peak value to protect the safe operation of a local power distribution network; providing global information related to a community market for the prosumers through a credible third party, so as to protect the privacy of the prosumers, effectively reduce the non-static property of an environment, and improve the expandability of an algorithm. Finally, through verification of the embodiment, the method can assist interaction and collaborative optimization of producers in a large-scale energy community, privacy information of the producers is protected, the operation cost of the producers is reduced, and compared with the prior art, the operation efficiency is improved, and the operational complexity is reduced.

An energy trading system and method for performing energy trading between blockchain-based servers are disclosed. Specifically, in the energy trading method, a blockchain transaction table is divided and operated into an energy channel and a trading channel for energy prosumer power trading, and a procedure for processing a transaction is provided through servers divided into an energy prosumer blockchain server, a power trading blockchain server, and an operator blockchain server.

The invention discloses a supply chain management system of online shopping. The supply chain management system comprises a community management module, a product supply chain management module and an online shopping module. An output end of the community management module is connected with input ends of the product supply chain management module and the online shopping respectively. The product supply chain management module comprises a supply-chain fuzzy matching module and a supply-chain node optimizing module, and the supply-chain fuzzy matching module and the supply-chain node optimizing module are electrically connected bidirectionally. By the above mode, communication cost between a prosumer and customer groups can be reduced, and an efficient supply chain relation can be formed.

The invention relates to a photovoltaic producer-consumer optimization decision-making method. According to the electricity demand response of photovoltaic producers and consumers, establish the basic model of demand response resources on the side of photovoltaic producers and consumers; according to the price of electric energy, based on the basic model of demand response resources on the side of photovoltaic producers and consumers, establish the economic model of photovoltaic producers and consumers; According to the economic model of photovoltaic prosumers, the comprehensive benefit model of photovoltaic prosumers is established; according to the choice of photovoltaic prosumers for electricity use, based on the basic model of photovoltaic prosumer-side demand response resources and the comprehensive benefit model of photovoltaic prosumers, establish Non-cooperative stochastic game model for the maximum benefit of photovoltaic prosumers; using distributed optimization algorithm and Viterbi algorithm, according to the non-cooperative stochastic game model, the optimal decision-making of photovoltaic prosumers and the optimal benefit of photovoltaic prosumers are obtained. The present invention comprehensively considers the objective randomness of photovoltaic power generation and the subjective randomness of decision-making of photovoltaic prosumers, obtains the optimal decision-making of photovoltaic prosumers through a game process, and reduces the error with the actual optimal decision-making process.

The invention discloses a network community group buying system, which comprises a community management module, a product supply chain management module and an online shopping module, the output terminals of the community management module are respectively connected to the input terminals of the product supply chain management module and the online shopping module, so that The online shopping module includes an online shopping module and an order process management module, and the online shopping module is electrically connected to the order process management module in two directions. Through the above method, it is possible to reduce the communication cost between producers, marketers and consumer groups, and form an efficient supply chain relationship.

A system and method perform electricity and heat load balancing within a community of energy nodes. The system includes a central control device to solve an optimization problem over a planning horizon and to run an allocation algorithm. Local agent devices communicate with the central control device. Each local agent device receives input parameters from an energy node. Each energy node includes electricity generation equipment, electrical heat-generating equipment, and power transmission equipment, electricity storage equipment and thermal storage equipment. The local agent devices operate the electrical heat-generating equipment based on an allocation instruction received from the central control device. The central control device receives status information from the local agent devices to determine an amount of energy to be converted from electricity to heat by the electrical heat-generating equipment of the energy nodes, to provide the allocation instruction to the energy nodes.

A method for automatically managing a flow of electrical energy produced by a first group of prosumers and consumed by the first group of prosumers and a second group of consumers, wherein each entity determines, at the beginning of a predetermined period, a production forecast and / or a consumption forecast of electrical energy, the method including determining, for each group, an order for consulting the entities of the group, consulting all the prosumers according to the order determined previously, each prosumer calculating a residual production forecast taking account of its own production forecasts, a residual production forecast transmitted by a preceding entity and a portion of a consumption forecast that can be supplied by the residual production forecast, and transmitting this residual production forecast to the prosumer according to the determined order, when the production forecasts are in surplus, transmitting the residual production forecasts to the group of consumers.

The invention discloses a time-sharing pricing method for promoting energy sharing of multiple prosumers in a community micro-grid, and relates to the technical field of electricity selling side electricity markets, and the method comprises the following steps: step 1, analyzing the characteristics of a multiple-prosumer sharing transaction market in the community micro-grid, and constructing a multiple-prosumer sharing transaction framework in the community micro-grid; step 2, designing a time-of-use electricity price mechanism of the community micro-grid internal multiple-prosumer shared transaction according to the community micro-grid internal multiple-prosumer shared transaction framework; step 3, carrying out modeling on internal flexibility resources of the presumers, and constructing a multiple-prosumer main body market decision model based on a two-stage robust model; and step 4, solving the time-of-use electricity price mechanism of the shared transaction of the multiple prosumers in the community micro-grid through an iterative solution framework of an embedded column and a constraint generation algorithm.

The invention discloses a method for controlling a Prosumer unit based on an intelligent load. The Prosumer unit includes household key loads, household photovoltaics, and electric vehicle household charging piles connected in parallel on the busbar. The method includes: (1) selecting several For non-critical loads with preset voltage offsets, each non-critical load is connected in series with an electric spring to form a smart load and connected in parallel to the bus; (2) construct the power model of the Prosumer unit; (3) monitor the voltage on the bus According to the change of the assigned amplitude and phase, the power springs in the smart load are issued to adjust the active and reactive power adjustment instructions; (4) The construction constraint is the real-time balance of the power of the Prosumer unit, and the optimization goal is the minimum daily load fluctuation of the power of the Prosumer unit The objective function is solved by using the NSGA-II algorithm, so as to decompose the power adjustment instructions issued to the smart load; (5) the non-critical load of the smart load executes the power adjustment instructions obtained by decomposing. The invention solves the problems of uncontrollable power of the Prosumer unit and large daily load fluctuations.