Search

CN-121998755-A - Energy transaction method and device of distributed energy system, system and storage medium

CN121998755ACN 121998755 ACN121998755 ACN 121998755ACN-121998755-A

Abstract

The embodiment of the application provides an energy transaction method, an energy transaction device, an energy transaction system and an energy transaction storage medium for a wide area distributed energy system, and relates to the technical field of energy Internet and intelligent power grids. The personalized comfort preference of the energy purchasing party and the risk type difference of the energy selling party are directly introduced in the transaction process by acquiring the availability state of the power grid, the energy demand and the comfort index of the energy purchasing party and the surplus energy and risk type of the energy selling party, so that the limitation that the energy purchasing party is regarded as a homogenized main body and the risk preference of the energy selling party is ignored is overcome. The coordination of the benefits of the energy purchasing party, the energy selling party and the power grid is realized, the user energy satisfaction degree, the reasonable benefit of the energy selling party and the economic operation of the power grid are effectively considered in the wide area distributed energy system, and the problems of unbalanced supply and demand, partial blockage and insufficient excitation of participants are solved.

Inventors

  • LU ZHIPENG
  • LIU YIYUAN
  • ZHAO PU
  • WANG YUEJIAO
  • XING JIAWEI
  • ZHENG ZHIJIE
  • YANG SONG
  • YU PI
  • WANG CHUNYI
  • SUN SHUMIN
  • CHENG YAN

Assignees

  • 国网山东省电力公司电力科学研究院
  • 国家电网有限公司

Dates

Publication Date
20260508
Application Date
20251209

Claims (16)

  1. 1. A method of energy trading for a wide area distributed energy system, comprising: acquiring the availability state of a power grid, the energy demands and comfort indexes of a plurality of energy purchasing parties, and the surplus energy and risk types of a plurality of energy selling parties; determining the trading electricity price of each energy seller according to the availability status of the power grid and the risk type of the energy seller; when the power grid availability state representation is unavailable and energy supply is insufficient, determining energy distribution among the energy purchasing parties according to the comfort index of the energy purchasing parties, the energy demand of the energy purchasing parties and surplus energy of the energy selling parties; based on the determined energy distribution and trading electricity price, performing power route optimization with the aim of minimizing wide-area transmission loss, and determining the actual transmission energy of each energy selling party in each energy purchasing direction; and calculating the bill of each buyer and the income of each seller according to the actual transmitted energy and the corresponding transaction electricity price.
  2. 2. The method of claim 1, wherein determining the trading power price for each energy seller based on the grid availability status and the energy seller risk type comprises: establishing a Bayesian game model between an energy seller and a power grid company; Taking the availability status of the power grid and the risk type of the seller as inputs of a game model; And solving the Bayesian game model, and outputting differentiated trading electricity prices based on different combinations of the risk types of the energy selling parties and the availability states of the power grid.
  3. 3. The method of claim 2, wherein outputting the rule of differentiated trading electricity prices by the bayesian gaming model comprises: For risk avoidance type energy selling parties, outputting the power grid export electricity price as transaction electricity price; for a risk preference type energy seller, when the availability status of the power grid is unavailable, outputting the self quotation of the energy seller as the trading electricity price; and outputting punishment electricity prices lower than the grid export electricity price as trade electricity prices when the grid availability status is available for the risk preference type energy seller.
  4. 4. A method according to any one of claims 1 to 3, wherein determining the energy distribution between purchasers based on the purchaser comfort index, the purchaser energy demand, and the seller surplus energy comprises: establishing a non-cooperative game model between an energy purchasing party and an energy selling party; Taking the comfort index of the purchasing party, the energy demand of the purchasing party and the surplus energy of the selling party as inputs of a game model; and solving the non-cooperative game model, and outputting an energy distribution scheme based on the energy purchasing comfort index ordering.
  5. 5. The method of claim 4, wherein outputting an energy distribution scheme ordered based on the purchasing power comfort index comprises: sequentially meeting the energy requirements of the purchasing party according to the order of the comfort index of the purchasing party from high to low; When the sum of surplus energy of the energy selling party is smaller than the sum of energy demands of the energy purchasing party, the energy allocated to the energy purchasing party with lower comfort index is proportionally reduced.
  6. 6. A method according to any one of claims 1 to 3, wherein obtaining the energy demand and comfort index for each purchasing party comprises: calculating the comfort index of the purchasing party according to the family structure information and the economic conditions declared by the purchasing party; Collecting energy utilization equipment information of an energy purchasing party, and dividing the load into a movable load and an immovable load; And taking the energy cost minimization as an optimization target, taking the calculated comfort index as a constraint condition, and solving the energy requirement of the energy purchasing party.
  7. 7. The method of claim 6, wherein calculating the comfort index based on the family structure information and the economic condition declared by the purchasing power party comprises: And calculating by adopting a linear function, a piecewise linear function or a machine learning model according to the number of family members, the number of children, the age structure and the family economic condition data.
  8. 8. The method of claim 6, wherein the step of providing the first layer comprises, The movable load includes energy usage devices of the washing machine, dryer, dishwasher, and energy storage device that are capable of adjusting the operating time over time, and/or, Immovable loads include lighting, refrigerators, and medical equipment that must be powered at a particular time.
  9. 9. A method according to any one of claims 1 to 3, wherein obtaining a risk type for each seller comprises: Based on a foreground theory, constructing an energy seller risk perception behavior model comprising a cost function and a probability weighting function; And determining the risk type of the seller through a risk perception behavior model according to historical transaction decision data of the seller or preset questionnaire feedback.
  10. 10. A method according to any one of claims 1 to 3, characterized in that power route optimisation with the aim of minimising wide area transmission losses, comprises: constructing a total power transmission loss calculation model, wherein the total power transmission loss comprises ohmic loss and corona loss of a line; And carrying out power route optimization based on the total transmission loss calculation model, the determined energy distribution and the transaction electricity price.
  11. 11. The method of claim 10, wherein the step of determining the position of the first electrode is performed, The ohmic loss of the line is calculated based on line current, resistance, length, conductor cross-sectional area and resistivity parameters, and/or, The corona loss of the line is calculated based on system frequency, air density factor, wire radius, wire spacing, operating voltage, and corona onset threshold voltage parameters.
  12. 12. The method of claim 10, wherein performing power route optimization comprises: The method comprises the steps of taking total loss obtained by a minimum total transmission loss calculation model as a target, taking surplus energy of all energy selling parties as supply constraint and energy requirements of all energy purchasing parties as demand constraint, and taking a tradable relation or priority between the energy selling parties and the energy purchasing parties defined by a determined energy distribution scheme as matching constraint, and establishing a transportation problem model; and solving a transportation problem model by adopting a Vogel approximation method to obtain a power routing scheme.
  13. 13. A method according to any one of claims 1 to 3, further comprising, after calculating the bill for each purchasing party: Comparing the actual energy consumption mode of the purchasing party with the energy consumption mode predicted based on the declared comfort index; If the deviation exceeds a preset threshold, judging that the deviation is declared to be false high, and adding punishment cost into the bill of the purchasing party.
  14. 14. An energy trading device for a wide area distributed energy system, comprising a processor and a memory storing program instructions, wherein the processor is configured, when executing the program instructions, to perform the energy trading method for a wide area distributed energy system as claimed in any of claims 1 to 13.
  15. 15. An energy trading system for a wide area distributed energy system, comprising: system body, and The energy transaction device for a wide area distributed energy system of claim 14, mounted to the system body.
  16. 16. A computer readable storage medium storing program instructions which, when executed, are to cause a computer to perform the energy transaction method for a wide area distributed energy source system as claimed in any one of claims 1 to 13.

Description

Energy transaction method and device of distributed energy system, system and storage medium Technical Field The application relates to the technical field of energy Internet and smart grids, in particular to an energy transaction method, an energy transaction device, an energy transaction system and a storage medium for a wide-area distributed energy system. Background Currently, with the wide access of renewable energy sources and the diversification of energy demands on the consumer side, wide-area distributed energy systems have become an important form of development of electric power systems. In the system, a large amount of distributed power sources coexist with multiple users, and how to realize efficient and fair energy transaction and distribution is a key problem for guaranteeing the stable operation of the system and improving the economic benefit. In order to solve the above problems, related technologies use a unified power price mechanism, a regional power price mechanism, or a transaction method based on a simple optimization model. The method can realize basic distribution and settlement of energy under specific scenes by carrying out energy matching and pricing under given supply and demand conditions through centralized or layered scheduling. In the process of implementing the embodiment of the application, the related art is found to have at least the following problems: The related technology regards the energy purchasing party as a homogenized price response main body, the comprehensive influence of personalized factors of the energy purchasing party on energy utilization comfort is not considered, and the risk preference difference of the energy selling party is not considered, so that in a wide-area distributed energy system, the transaction result is difficult to consider the user energy utilization satisfaction, reasonable benefit of the energy selling party and overall economic operation of a power grid, and unbalance of supply and demand, partial blockage and insufficient excitation of participants are caused. Disclosure of Invention The embodiment of the application provides an energy transaction method, an energy transaction device, an energy transaction system and a storage medium for a wide area distributed energy system. In a first aspect of an embodiment of the present application, there is provided an energy transaction method for a wide area distributed energy system, including: acquiring the availability state of a power grid, the energy demands and comfort indexes of a plurality of energy purchasing parties, and the surplus energy and risk types of a plurality of energy selling parties; determining the trading electricity price of each energy seller according to the availability status of the power grid and the risk type of the energy seller; when the power grid availability state representation is unavailable and energy supply is insufficient, determining energy distribution among the energy purchasing parties according to the comfort index of the energy purchasing parties, the energy demand of the energy purchasing parties and surplus energy of the energy selling parties; based on the determined energy distribution and trading electricity price, performing power route optimization with the aim of minimizing wide-area transmission loss, and determining the actual transmission energy of each energy selling party in each energy purchasing direction; and calculating the bill of each buyer and the income of each seller according to the actual transmitted energy and the corresponding transaction electricity price. In an alternative embodiment of the present application, determining the trading power price for each energy seller based on the grid availability status and the energy seller risk type includes: establishing a Bayesian game model between an energy seller and a power grid company; Taking the availability status of the power grid and the risk type of the seller as inputs of a game model; And solving the Bayesian game model, and outputting differentiated trading electricity prices based on different combinations of the risk types of the energy selling parties and the availability states of the power grid. In an alternative embodiment of the present application, the rule that the bayesian game model outputs the differentiated trading electricity prices includes: For risk avoidance type energy selling parties, outputting the power grid export electricity price as transaction electricity price; for a risk preference type energy seller, when the availability status of the power grid is unavailable, outputting the self quotation of the energy seller as the trading electricity price; and outputting punishment electricity prices lower than the grid export electricity price as trade electricity prices when the grid availability status is available for the risk preference type energy seller. In an alternative embodiment of the present application, determining the energy dist