CN-121440564-B - Micro-grid self-adaptive point-to-point cooperative method, device, system and medium

CN121440564BCN 121440564 BCN121440564 BCN 121440564BCN-121440564-B

Abstract

The invention relates to a micro-grid self-adaptive point-to-point cooperative method, a device, a system and a medium, wherein the method comprehensively considers the internal resource constraint, the standby constraint, the operation cost and the coupling relation with external associated markets, such as an electric energy trade market, a carbon emission right trade market and a green certificate trade market, when each micro-grid is required to locally construct an optimal trade volume model, ensures that the trade decision is not only based on internal economy, but also actively responds to external policies and physical constraints, such as carbon emission reduction, system standby requirements and the like. The carbon emission right transaction cost and the green certificate transaction income are brought into an objective function, so that the production and consumption of low-carbon energy are directly stimulated, and the low-carbon property of the whole transaction is improved. The uncertainty of new energy output is considered, and related standby constraint is modeled as opportunity constraint, so that the transaction scheme can better cope with renewable energy fluctuation, the safe reliability of system operation is ensured, and the economy, low carbon and safety of the transaction scheme are effectively considered.

Inventors

XU YINLIANG
TIAN YE
XIE YURONG
ZHANG HAIZHEN

Assignees

清华大学深圳国际研究生院
华电电力科学研究院有限公司

Dates

Publication Date: 20260508
Application Date: 20251229

Claims (8)

1. A micro-grid self-adaptive distributed point-to-point cooperative method integrating multiple market constraints is characterized by comprising the following steps: Constructing an optimal trading volume model of each micro-grid under different point-to-point trading prices on the basis of the internal resource constraint, the running cost and the coupling relation with an external associated market of each micro-grid; calculating optimal transaction amounts of a plurality of point-to-point transaction prices in parallel, and generating functional relation data reflecting transaction willingness of each micro-grid at the transaction prices; Uploading the functional relation data to a Global Market Controller (GMC) by each micro-grid; The GMC receives the functional relation data of all micro-grids, and builds a market clearing model based on the functional relation data, wherein the market clearing model aims at maximizing system benefit or minimizing total cost and meets trade balance constraint and network security constraint; the GMC solves the market clearing model to obtain a final point-to-point transaction clearing result, and broadcasts the clearing result to each micro-grid; Wherein the objective function of the optimal trading volume model contains cost or income generated by participation in a carbon emission right trading market and a green certificate trading market, and the optimal trading volume model considers the uncertainty of new energy output and models standby constraint and/or network security constraint related to the uncertainty as opportunity constraint; The functional relation data is a piecewise linear marginal utility function which is obtained by piecewise linear fitting the plurality of point-to-point transaction prices and the calculated optimal transaction quantity and takes the transaction price as an independent variable and the optimal transaction quantity as a dependent variable; the market clearing model is a mixed integer linear programming model, and nonlinear relations caused by effective constraint are identified after the piecewise linear marginal utility function is brought into the market clearing model through introducing auxiliary integer variables.
2. The micro-grid self-adaptive distributed point-to-point coordination method integrating multiple market constraints according to claim 1, wherein the internal resource constraints comprise at least one of an output constraint, a climbing constraint and a standby constraint of a diesel generator, an output constraint of a new energy unit, an output constraint and a standby constraint of an energy storage device, and the coupling relation with the external associated market comprises a coupling relation with an electric energy trading market, a carbon emission right trading market, a green certificate trading market and a standby auxiliary service market of a power grid.
3. The adaptive distributed point-to-point collaborative method for a micro-grid incorporating multiple market constraints according to claim 1, wherein the GMC solves a market clearing model using an iterative algorithm with consideration of network usage fees, the iterative algorithm comprising: Based on the current equivalent transaction price, solving a first optimization problem aiming at maximizing system benefit and meeting transaction balance constraint and network security constraint to obtain the optimal transaction total amount of each micro-grid, fixing the transaction total amount, solving a second optimization problem aiming at minimizing network use cost to obtain specific transaction amount distribution among the micro-grids and calculating network use cost; under the condition that network use fees are not considered, the GMC adopts a non-iterative algorithm to solve a market clearing model, and comprises the steps of constructing the market clearing model aiming at maximizing system benefits, wherein decision variables of the model comprise point-to-point trading volume of each micro grid and trading volume of an upper grid, converting function relation data uploaded by each micro grid into a mixed integer linear programming model to represent piecewise linear relation between the trading volume and price, and solving the mixed integer linear programming model to obtain final point-to-point trade clearing price and clearing trading volume of each micro grid at one time.
4. The method for adaptively and cooperatively distributing the micro-grid by point-to-point fusion with multi-market constraints according to claim 3, wherein the iterative algorithm further comprises the steps of vibration monitoring and correction, namely searching the optimal equivalent transaction price increment in a vibration interval by adopting a dichotomy when the update of the equivalent transaction price is detected to vibrate.
5. A local computing device for generating a utility function for a microgrid, the device being deployed on the side of the microgrid and comprising at least one processor and a memory, the memory storing a computer program which, when executed by the processor, performs the steps of: acquiring internal resource parameters, running cost parameters and external market price parameters of the micro-grid; Based on the parameters, constructing an optimal trading volume model considering internal resource constraint, running cost and coupling relation with an external associated market, wherein an objective function of the optimal trading volume model comprises cost or income generated by participation in a carbon emission right trading market and a green certificate trading market, and the optimal trading volume model considers uncertainty of new energy output and models standby constraint and/or network security constraint related to the uncertainty as opportunity constraint; the optimal transaction amount model is solved in parallel under a plurality of discrete point-to-point transaction prices, and a series of optimal transaction amounts are obtained; Generating functional relation data of the micro-grids according to the point-to-point transaction price and the corresponding optimal transaction amount, wherein the functional relation data reflects the transaction willingness of each micro-grid at the transaction price; the function relation data is a piecewise linear marginal utility function which is obtained by piecewise linear fitting the plurality of point-to-point transaction prices and the calculated optimal transaction quantity and takes the transaction price as an independent variable and the optimal transaction quantity as a dependent variable; Outputting the functional relation data and uploading the functional relation data to a global market controller GMC, wherein the functional relation data is used for constructing a market clearing model, the market clearing model aims at maximizing system benefit or minimizing total cost and meets transaction balance constraint and network security constraint, the market clearing model is a mixed integer linear programming model, and nonlinear relations caused by effective constraint are identified after the piecewise linear marginal utility function is brought into the market clearing model through introducing auxiliary integer variables.
6. The local computing device of claim 5, wherein the external market price parameters include a carbon emissions trading price and a green certificate trading price, the optimal trading volume model being an opportunity constraint optimization model that accounts for new energy output uncertainty.
7. A distributed resource point-to-point transaction system, comprising: A plurality of local computing devices according to claim 5 or 6, each local computing device corresponding to a microgrid; The Global Market Controller (GMC) is in communication connection with all the local computing devices and is configured to receive all the functional relation data uploaded by the micro-grids, construct a market clearing model based on all the functional relation data, transaction balance constraints and network security constraints, solve the market clearing model to obtain point-to-point transaction clearing results, solve the market clearing model by adopting the micro-grid adaptive distributed point-to-point cooperative method according to claim 3 or 4 when considering network use fees, and broadcast the clearing results to the local computing devices corresponding to the micro-grids.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 4.

Description

Micro-grid self-adaptive point-to-point cooperative method, device, system and medium Technical Field The invention relates to the technical field of energy trading, in particular to a micro-grid self-adaptive point-to-point cooperation method, device, system and medium. Background The micro-grid can realize the in-situ management of distributed resources by constructing a local energy self-control system and transact with an upper-level distribution grid. However, due to uncertainty of output force and unbalance of distribution of the distributed resources, interactive power of different micro-grids and a superior grid flows bidirectionally, and power transmission pressure of the distribution network and system operation cost are increased. For this reason, a point-to-point (P2P) transaction model has been developed to facilitate the in-situ utilization of distributed resources at a transaction price intermediate between the internet and time-of-use electricity prices, maximize economic benefits for each principal, and protect privacy. Existing P2P transaction studies are divided into two categories, inter-consumer transactions within a micro-grid and inter-micro-grid transactions. The former concerns reliability issues such as attack resistance, communication failure, etc., and the latter considers factors such as multi-energy coupling, gaming by the distribution network operator, carbon transaction, etc. However, the existing point-to-point (P2P) transaction mode still has certain defects that on one hand, the existing micro-grid P2P transaction research ignores the influence of the electric-carbon-green evidence combined market on the transaction result, and the existing research in the electric market field already shows that the multi-market combined transaction is more beneficial to the consumption of renewable energy sources and better carbon emission reduction effect than a single market. On the other hand, most of the existing solving methods for the P2P transaction among the micro networks are distributed iteration solving methods, and the calculation and communication costs are quite high. In addition, the P2P research between the existing micro-networks ignores the influence of uncertainty of the output of renewable energy sources in modeling, does not fully consider the coupling of the standby requirement and the energy transaction caused by the uncertainty, and lacks the joint optimization of the safety standby decision in the micro-networks. Therefore, there is a need for a point-to-point transaction method that combines economy and security, and improves computational efficiency and privacy. It should be noted that the information disclosed in the above background section is only for understanding the background of the invention and thus may include information that does not form the prior art that is already known to those of ordinary skill in the art. Disclosure of Invention The technical problem to be solved by the invention is how to provide the micro-grid point-to-point transaction processing method which can consider the economy and the safety of a transaction scheme, improve the distributed transaction calculation efficiency and protect the privacy of a main body. Therefore, the invention provides a micro-grid self-adaptive distributed point-to-point cooperation method, device and system integrating multiple market constraints and a storage medium, so as to solve the technical problems. The technical scheme adopted by the invention for solving the technical problems is as follows. The invention provides a micro-grid self-adaptive distributed point-to-point cooperation method integrating multiple market constraints in a first aspect, which comprises the following steps: Constructing an optimal trading volume model of each micro-grid under different point-to-point trading prices on the basis of the internal resource constraint, the running cost and the coupling relation with an external associated market of each micro-grid; calculating optimal transaction amounts of a plurality of point-to-point transaction prices in parallel, and generating functional relation data reflecting transaction willingness of each micro-grid at the transaction prices; Uploading the functional relation data to a Global Market Controller (GMC) by each micro-grid; The GMC receives the functional relation data of all micro-grids, builds a market clearing model based on the functional relation data, and aims at maximizing system benefit or minimizing total cost and meeting trade balance constraint and network security constraint; The GMC solves the market clearing model to obtain a final point-to-point transaction clearing result, and broadcasts the clearing result to each micro-grid. In some embodiments, the internal resource constraints include at least one of a diesel generator, a new energy unit, an energy storage device's output constraints, a hill climbing constraint, and a backup constraint, the coupling r