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 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 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.

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.

A method for energy management of a virtual power plant based on a cooperative game, comprising the following steps: S1: obtaining the number of prosumers in a virtual power plant system and information on the distributed equipment equipped with them; S2: obtaining the operation of each distributed equipment of the prosumers in the virtual power plant Constraints; S3: Read the on-grid electricity price and electricity purchase price for the virtual power plant, and establish the income function of any alliance in the power plant under the cooperation mode; S4: Obtain the output probability density function of each renewable energy source in the power plant, and establish the energy of the virtual power plant Optimize the objective function and its constraints; S5: Optimize the objective function of the virtual power plant to obtain the output power and load power of each prosumer when the virtual power plant alliance achieves the maximum benefit; S6: Calculate the actual income of the grand alliance; S7: Find Take the distribution strategy with the highest satisfaction of each alliance under the major league; S8: Calculate the income distribution plan of the major league. The invention effectively improves the overall benefit of the virtual power plant.

The invention relates to a distribution network prosumer distributed optimal scheduling method for energy management of energy communities, which is characterized in that: the content includes energy community scheduling strategy modeling, ADMM-based distributed scheduling model and solution: energy community scheduling strategy construction The model incorporates system operating conditions and market operating mechanisms such as power flow and security, and builds a day-ahead optimal scheduling model for energy communities in consideration of economy and security; the distributed scheduling model and solution based on ADMM adopts graph theory for energy and community distribution network topology. Detailed modeling, while fully dispatching the flexibility of local systems, realizes the whole network through topology association, which meets the independent and interconnected operation requirements of the power grid, and can effectively solve the problem of large-scale prosumer optimization dispatching strategies, with scientific and reasonable methods , strong applicability, good effect and so on.

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.

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.

The present invention relates to sinusoidal components representative of particular commands (VCMD) or values, or a combination thereof, superimposed on DC power lines (VDC) as a means of communication between the prosumers wherein the communication will be tailored to commands for microgrids.

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.

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.