Active-Reactive Power Bidding and Transaction Strategy of Microgrid Based on Distributionally Robust Chance Constraint

In high penetration-distributed generator microgrid (HP-DGMG), the uncertainty of distributed generator (DG) can have an impact on bidding revenues and even increase the operational risk of HP-DGMG and distribution networks. Considering the uncertainty of distributed photovoltaic in HP-DGMG, an active and reactive power bidding and transaction strategy of microgrid based on distributionally robust chance constraint (DRCC) is proposed in this paper. Firstly, considering the power sale and power purchase transaction characteristics of HP-DGMG, the bidding and transaction framework of HP-DGMG in the distribution market environment is constructed, and the bi-layer bidding model of HP-DGMG active and reactive power transactions in the distribution market is further established. Secondly, DRCC is introduced to deal with the uncertainty of distributed photovoltaic power generation in microgrid, and the optimization model of HP-DGMG active-reactive power bidding and transaction based on the moment information is constructed. By using conditional value-at-risk theory and duality theory, the distributionally robust model of HP-DGMG bidding and transaction is transformed into second-order cone programming form. Then, a single-layer mathematical program with equilibrium constraint (MPEC) model of HP-DGMG bidding in distribution market environment considering photovoltaic uncertainty is proposed by using primal-dual counterpart method, and it is converted into mixed-integer second-order cone programming problem for solving. Finally, the HP-DGMG located in 7-bus distribution network and 33-bus distribution network is analyzed and verified, and the effectiveness of the proposed HP-DGMG bidding and transaction strategy is verified. © 2024 Automation of Electric Power Systems Press. All rights reserved.