A Day-ahead Optimization Scheduling Method for Prosumer Based on Iterative Distribution Locational Marginal Price

With increasing penetration of prosumers in distribution network, the flexible dispatching ability of the prosumers becomes an important factor affecting positive and negative load peaks. The distribution locational marginal price (DLMP) method is extended to solve the problem of bidirectional congestion caused by prosumers in distribution network, and a distributed day-ahead scheduling strategy is proposed for prosumers based on iterative DLMP. Based on Lagrange duality decomposition principle, distribution system operator (DSO) adopts sub-gradient method to determine the purchase and sale congestion prices respectively, thus guiding the controllable photovoltaic and adjustable household load under aggregator (Agg), to adjust the power to achieve synergistic effect of alleviating distribution network congestion. DSO and Agg realize power consensus through interaction of power-price information, so as to protect the privacy information of Agg users. Finally, a modified IEEE 33-bus system is used to illustrate rationality and effectiveness of the proposed method. © 2019, Power System Technology Press. All right reserved.