Abstract
When planning the power grid, it is necessary to obtain the optimal decision scheme according to the market behavior of different stakeholders. In this paper, the virtual game player "nature" is introduced to realize the deep integration of game theory and robust optimization, and a source network load collaborative planning method considering uncertainty and multi-agent game is proposed. Firstly, the planning decision-making models of different stakeholders of DG investment operators, power grid investment operators and power users are constructed respectively; then, the static game behavior between distributed generation (DG) investment operators and power grid investment operators is analyzed according to the transmission relationship of the three; at the same time, robust optimization is used to deal with DG. In this paper, we introduce the virtual game player "nature" to study the dynamic game behavior between the virtual game player and the power grid investment operator. On this basis, the dynamic static joint game planning model is proposed.
Highlights
At present, some scholars have begun to study the game problem in distribution network planning [1,2,3,4]
The game theory is applied to distribution network planning for the first time, and the optimal location and capacity of distributed generation (DG) are realized through the game among investment cost, line loss and voltage quality [1]
All the above literatures have analyzed the game relationship among the agents, and established different types of game planning models from the perspectives of dynamic and static, cooperative and non cooperative, they do not consider the impact of source load side uncertainty on distribution network planning
Summary
Some scholars have begun to study the game problem in distribution network planning [1,2,3,4]. Based on the complete information dynamic game theory, taking photovoltaic, energy storage and power grid as game participants, the game relationship among the three parties under the market environment was analyzed, and the coordinated planning model of optical storage network was established [2]. All the above literatures have analyzed the game relationship among the agents, and established different types of game planning models from the perspectives of dynamic and static, cooperative and non cooperative, they do not consider the impact of source load side uncertainty on distribution network planning. This paper proposes a distribution network planning method based on incremental game theory and multi-source game theory. The uncertainty of output is introduced, and the virtual agent "nature", which represents the uncertainty, is introduced On this basis, the above-mentioned subjects are taken as game participants, and the dynamic static joint game planning model is proposed. Compared with the traditional methods, on the one hand, by accurately simulating the game behavior of the main players in the market, this method can ensure that each market entity continuously optimizes its own decision-making in the game process, so as to maximize its own revenue, and enhance the market vitality and the effectiveness of planning and decision-making; on the other hand, by introducing the virtual game player "nature", the game theory can be applied to the game theory In the model, the influence of uncertain factors on planning decision is fully considered, and the rationality of planning decision is improved by active optimization
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