A multi-agent game-based collaborative planning method for incremental distribution network source, network and load

Abstract

The invention relates to a multi-agent game incremental distribution network source network load cooperative planning method, which comprises the following steps: respectively establishing planning decision models of a plurality of investment subjects; analyzing the static game behavior between DG investment operator and distribution network company according to the transfer relationship of threeinvestment agents, establishing a static game model when the game is in equilibrium; using robust optimization to deal with the uncertainty of DG output, and introducing the virtual game player Nature. According to the dynamic game behavior between the virtual game player and the distribution network company, the game reaches the equilibrium state, and the dynamic game model is established on thisbasis. Considering the multi-agent game of DG investment operators, distribution network companies, power users and Nature, a dynamic-static joint game layout for incremental distribution network planning is formed and a dynamic-static joint game model is built on the basis. The iterative search method is used to solve the Nash equilibrium point, and the programming decision model based on game theory is solved to get the final planning scheme.

Description

technical field [0001] The invention relates to a research field of electric power system planning, in particular to a method for collaborative planning of incremental distribution network source, network and load considering uncertainty and multi-agent game. Background technique [0002] With the steady advancement of the pilot reform of the incremental power distribution business, the incremental power distribution business has begun to open to social capital. On the one hand, distributed power investors and power users participating in demand-side response began to participate in the investment and operation of the distribution network as independent entities, making the diversification of investment entities one of the most notable features of my country's incremental distribution network; on the other hand On the one hand, the large-scale access of distributed power sources has injected more uncertainties into the incremental distribution network. In this context, it is...

AI Technical Summary

Problems solved by technology

It can be seen that the above-mentioned planning model based on individual rationality has the following problems: 1) Since the game relationship between independent investment entities is ignored, this planning method cannot reflect the operating mechanism of the actual incremental distribution network market, so planning decisions 2) The above-mentioned planning method only makes decisions from the perspective of overall optimality, and cannot take into account the interests of every investor in the market. While pursuing the highest overall return, it may damage the interests of individual investors. interests, thereby reducing market vitality and restricting the development of incremental distribution network

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