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ZHAO Yi, CHEN Yuting, SUN Wenyao. Region Dispatch Method and Market Trading Strategy for Multi-microgrid Distribution System[J]. Power System Technology, 2022, 46(1): 47-56. DOI: 10.13335/j.1000-3673.pst.2021.0245
Citation: ZHAO Yi, CHEN Yuting, SUN Wenyao. Region Dispatch Method and Market Trading Strategy for Multi-microgrid Distribution System[J]. Power System Technology, 2022, 46(1): 47-56. DOI: 10.13335/j.1000-3673.pst.2021.0245

Region Dispatch Method and Market Trading Strategy for Multi-microgrid Distribution System

  • Under the situation of multi-microgrid high penetration, the space-time dimension of the distribution system dispatch objects is expanded, so the traditional rigid scheduling mode is restricting the potential of the micro-grid power generation. This paper adopts the method of making interval scheduling plan to guide the multi-micro-grid market trading behavior: On the one hand, the micro-network is given a certain degree of power generation autonomy to stimulate the potential of its elastic regulation and control. On the other, it should be ensured that the market clearing results tend to be the global optimal. First, the second-order conical model is used to calculate the global optimal operation solution of the distribution system, based on which the incentive area of the multi-micro grid is established. Secondly, the bi-level optimization model of the market transaction is constructed. In the lower model, the multiple game model between the piconets is established, which helps the micro nets get the optimization decision-making strategies to maximize their profits. In the upper model, the distribution system market model with the rigid constraints is constructed for the complete market clearing in order to determine the clearance of the electricity and distribution locational marginal price(DMLP). The micro grid adjusts its bidding strategy according to the information of the distribution network market DLMP in the upper model, and then obtains the Nash equilibrium solution through the game model in the lower level. Finally, the effectiveness of the proposed method is verified by an example simulation.
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