16 results about "Prosumer" patented technology

The invention discloses a power distribution network collaborative optimization scheduling method and system considering asymmetric Nash bargaining and producer and consumer renting shared energy storage. The method comprises the following steps: constructing a wholesale market, a retail market and a P2P market, and a multi-agent collaborative transaction framework of mutual influence among a power distribution network operator, a shared energy storage operator and producer and consumer, wherein the multi-agent collaborative transaction framework comprises the wholesale market, the retail market, the P2P market and the mutual influence among the power distribution network operator, the shared energy storage operator and the producer and consumer; constructing a multi-agent optimization scheduling model for renting shared energy storage by the consumer and introducing a bargaining factor to measure the contribution degree of each consumer during electric energy transaction; a cooperative game Nash bargaining theory is introduced to re-model an original multi-body optimization scheduling model, and the model is decomposed into two sub-problems of total cost minimization and payment benefit maximization; a self-adaptive step size ADMM algorithm is adopted to perform distributed optimization solution on the sub-problems to obtain the electricity quantity purchased and sold from the power grid by the producer and the consumer and the shared energy storage, the P2P transaction electricity quantity and the transaction electricity price; and an improved IEEE33 node power distribution system is adopted to carry out example analysis, and a scheduling plan arrangement of multi-agent collaborative optimization operation is obtained.

This invention discloses a pricing method and system for distributed electricity transactions in industrial parks that considers the bounded rationality game theory of prosumers and consumers, relating to the field of distributed transaction technology. The method includes: designing a distributed transaction structure for industrial parks, clarifying the transaction identities of prosumers and consumers and the roles of operators; constructing a prosumer payoff model based on prospect theory, deriving the payoff prospect value function, and calculating risk preference parameters through questionnaires and maximum likelihood estimation; constructing a non-cooperative game theory model of prosumers and consumers; and designing a distributed transaction pricing algorithm for industrial parks to maximize the total electricity transaction volume by iteratively updating transaction prices. This invention can capture the bounded rationality characteristics of prosumers and consumers, promote low-price and efficient electricity consumption, improve transaction stability and economy, and provide an effective solution for distributed transaction pricing in industrial parks.

The invention discloses a post-fault reliability improvement method for embedded multi-master multi-slave end-to-end transaction and power distribution network operator-producer interaction and cooperation. The method comprises the following steps: step 1, establishing a producer energy consumption benefit measurement model considering differentiated reliability preference; 2, in combination with the production and consumer energy consumption benefit measurement model, establishing a post-fault power distribution network operator-production and consumer double-layer interaction reliability improvement model of the embedded multi-master multi-slave end-to-end transaction; and step 3, based on the balance proof of the multi-master multi-slave game, and based on a sample boundary compression algorithm, solving the power distribution network operator-production and consumer double-layer interaction reliability improvement model after the fault, and finally outputting a network reconstruction strategy of the power distribution network operator and an operation strategy of the production and consumer after the power distribution network fault. According to the technical scheme provided by the embodiment of the invention, mutual benefit and win-win of a power distribution network operator and a producer after a power distribution network fault event occurs are realized, and the social welfare level is effectively improved.

A cost allocation method and system for community-shared energy storage. The method comprises: acquiring a charging power of prosumers, a discharging power of prosumers, and a shared power of community-shared energy storage (S11); constructing a shared contribution quantification algorithm on the basis of the charging power of prosumers, the discharging power of prosumers, and the shared power of community-shared energy storage (S12); on the basis of the shared contribution quantification algorithm, quantifying the shared contribution degrees of different prosumers to an alliance (S13); and on the basis of the shared contribution degrees, constructing a cost allocation algorithm based on a generalized Nash bargaining theory, and determining allocation costs for different prosumers on the basis of the cost allocation algorithm (S14).

A method and system for electrical energy transfer and allocation that includes a blockchain systems for identifying and tracking energy demands and requests by geographical and coordinates and other characteristics through a usage and / or consumption chain that includes consumers and producers (prosumers). A microgrid identifier can be used to tag a consumer and relate the consumer to a producer by geography or demand. Based on demand and location data an energy factor can be calculated and thereby serve to match consumers and producers. A federated learning model can be used to accommodate an energy sharing stage on the blockchain and thereby facilitate, by a server computer, the transport of excess available energy from one energy producer in a first microgrid to either an energy consumer in the first microgrid or an energy storage unit of a second microgrid.

The invention belongs to the technical field of power transmission and distribution prices of power systems, and relates to a power grid power transmission and distribution price pricing method suitable for diasters. Comprising the following steps: dividing power grid users into disagger users and general users; on the basis of a shallow cost recovery principle, acquiring the exclusive access facility cost of the consumer, and determining the access cost; obtaining the permitted income of the power grid public network, and constructing a public network use fee pricing model based on the incidence relation between the load rate and the coincidence rate; and based on the access fee and the public network usage fee pricing model, determining the power transmission and distribution price undertaken by the consumer. According to the method provided by the invention, a pricing mechanism of'access fee + selectable load rate public network use fee 'is constructed, so that the problems of poor applicability of traditional power transmission and distribution price and serious cross subsidy caused by'large capacity and low load rate' characteristics of the producer and the consumer are solved, and accurate allocation and recovery of the cost are realized.

The invention relates to a coscheduling method and a coscheduling system for privacy protection of productive disappears based on group learning and multi-agent reinforcement learning. The coscheduling method comprises the following steps of: constructing a coscheduling architecture between a productive disappears model and productive disappears; based on the architecture, carrying out partial observable Markov game modeling of multi-producer collaborative scheduling under incomplete information, and constructing a group learning-based decentralized privacy protection collaborative scheduling framework; and an optimal transaction strategy is solved in a decentralized privacy protection collaborative scheduling framework through a PS-MAPPO (Privacy Protection State Enhanced Multi-agent Near-end Policy Optimization Algorithm), so as to realize multi-yield disagger privacy protection collaborative scheduling. The method can provide core support for constructing a next-generation virtual power plant and a distributed energy aggregation system which are safe, credible, efficient, cooperative and elastically extensible, and has wide application prospects in the fields of novel power system construction, park-level comprehensive energy management, multi-micro-grid interconnection operation and the like.

This invention belongs to the field of power grid technology and discloses a collaborative optimization method, system, equipment, and medium based on virtual power plant operators and prosumers, including the following steps: S1: Establish a collaborative management framework for electricity carbon emissions between virtual power plant operators and prosumers; S2: Based on the collaborative management framework, construct a two-layer game model; the upper layer is the operator, and the lower layer is the prosumer. The operator calculates the node marginal electricity price and node carbon intensity through optimal power flow and distributes them to the prosumer. The prosumer optimizes scheduling based on the node marginal electricity price and node carbon intensity and submits the power purchase and sale curve; S3: Solve the two-layer game model using a distributed iterative algorithm with a penalty function, and achieve adaptive optimization of the model solution by introducing a penalty term to obtain the optimal collaborative electricity carbon emissions strategy.

This application belongs to the field of energy market trading technology, specifically involving a dynamic pricing optimization method for multi-energy resources based on layered game theory and blockchain-based notarization. The method includes: constructing a three-layer Stackelberg game architecture involving operators (TSOs), aggregators (AGGs), and prosumers (Prosumers); designing a two-way bid-and-clear protocol; developing a distributed solution algorithm based on improved KKT conditions and duality theory to achieve efficient computation of master-slave game equilibrium solutions; and establishing a notarization and verification mechanism for the game process based on blockchain smart contracts. This invention solves the problems of slow convergence speed and untraceable game results in traditional pricing models, significantly improving the computational efficiency of multi-energy resources in industrial parks.

The invention discloses a community-distribution network energy optimization method considering flexible resources and internal transactions, and the method comprises the steps: obtaining the internal transaction power of community members through a community internal production consumer transaction model, obtaining the active power and reactive power of a production consumer side through a community day-ahead optimization scheduling model, and obtaining the day-ahead active power and reactive power curves of the production consumer side. The active and reactive power curves of the producer and the consumer during real-time operation are obtained through the active and reactive power flexibility boundary models, then the active and reactive power flexibility margins are obtained, and the branch current violation amount, the node voltage violation amount and the cost for purchasing the flexible power are minimized through the power distribution network system optimization model. According to the community-distribution network energy management method, the violation amount of the community electricity charge and the voltage and current of the distribution network is reduced through resource sharing optimization, the community electricity utilization cost can be effectively reduced, the power factor and the operation stability are considered, and a safe, efficient and intelligent solution is provided for community-distribution network energy management.

This invention belongs to the field of distribution network optimization and scheduling technology, specifically disclosing a two-stage distributed bar optimization method and system based on NDOE-guided DSO-prosumer dynamic negotiation optimization. The method includes acquiring relevant distribution network data, inputting the data into a pre-constructed NDOE-guided distribution network-prosumer dynamic negotiation optimization model, obtaining a distribution network optimization scheduling scheme involving DSO and prosumers, and defining the NDOE-guided distribution network-prosumer dynamic negotiation optimization model as a lower-level prosumer objective function and an upper-level DSO objective function constructed using the ATC algorithm. The method involves solving the lower-level prosumer objective function to obtain the prosumer response DOE, substituting this DOE into the upper-level DSO objective function, and solving the upper-level DSO objective function to obtain the target DOE. The method iterates until the ATC algorithm meets the convergence requirement. This invention allows prosumers to actively participate in optimization, effectively avoiding voltage limit exceedance problems caused by trading disturbances, while also considering the economic interests of market participants.

The invention relates to a prosumer system (100) for supplying to a gas network (300) and receiving from the gas network (300) at least one gas, comprising: - a bypass (110) designed to guide the at least one gas past a final pressure regulator (120) into the gas network (300) in an introduction mode (I), wherein the final pressure regulator (120) is designed to reduce the pressure of the at least one gas from a network pressure to a final pressure in an off-take mode (II), a counter (130) designed to count the delivery of the at least one gas to the gas network (300) in the introduction mode (I) and to count the intake of the at least one gas from the gas network (300) in the off-take mode (II). The invention further relates to a network system (200), a gas network (300), an operating method (400) and a control method (500).

This invention provides a method and system for dynamic aggregation of virtual power plants based on Transformer and AdaptMLP, relating to the field of power system optimization and scheduling. The method includes: using a Transformer encoder to extract global coupling features between devices through a multi-head self-attention mechanism; using an AdaptMLP module to achieve adaptive parameter adjustment through a gating mechanism and a multi-expert network; and combining the MAPPO algorithm to solve a multi-agent reinforcement learning problem. This invention can adapt to heterogeneous equipment and dynamic changes in the number of prosumers, supports the immediate access of new prosumers without retraining, and is applicable to the aggregation and optimized scheduling of virtual power plant resources, including various types of equipment such as energy storage, electric boilers, electric chillers, and interruptible loads.

This invention relates to the field of photovoltaic (PV) carrying capacity assessment, specifically a method for assessing the PV carrying capacity of distribution networks based on distributed robust joint opportunity constraints and hybrid game theory. This method constructs a multi-agent hybrid game architecture involving distribution network operators, prosumers, and electric vehicle clusters, thereby building a two-layer PV carrying capacity assessment model that integrates master-slave game theory and evolutionary game theory. The upper-layer master-slave game model deeply integrates distributed robust joint opportunity constraints with master-slave game theory, constructing a directly solvable framework; the lower-layer evolutionary game model establishes the evolutionary game process of the electric vehicle cluster. The dynamic interaction between the master-slave game of distribution network operators and prosumers and the evolutionary game of the electric vehicle cluster achieves joint convergence of evolutionary stability and master-slave game equilibrium. The maximum carrying capacity assessment results obtained by the proposed method not only conform to the system safety boundary but also fully reflect the interactive effects among market participants, possessing not only mathematical rigor but also practical engineering value.

A system including components for extensive and specialized processes to improve efficiency, increase productivity and optimize global resource and personnel distribution across all levels from creation to implementation from professional to prosumer and consumer, particularly in a shared economy is disclosed. A shared economy may provide a way of designing, creating, distributing and purchasing goods and services that differs from a traditional business model. A specially configured, networked system with an architecture for end user architects in a sharing economy-based industry to efficiently utilize resources including personnel, design, manufacturing and production resources as well as communications resources is disclosed.