Two Stage Generation-Grid-Load-Energy Storage Interactive Optimization Operation Strategy to Promote Distributed Photovoltaic Consumption

Abstract

With the construction of new power system with new energy as the main body, large-scale distributed photovoltaic (PV) access to distribution network has caused serious problems such as power flow return and voltage out of limit. Based on game theory and NSGA-II algorithm, a two stage generation-grid-load-energy storage interactive optimization operation strategy to promote distributed PV consumption was proposed. Firstly, Dynamic loadability of distribution network (DLDN) is defined to endow demand response resources in distribution network with time and space characteristics. It provides a “bridge” for the distribution system to promote the two stage optimization of distributed PV local consumption power scheduling and active/reactive power coordination control, and gives the solution method of DLDN. Secondly, a two stage interactive optimization operation framework of generation-grid-load-energy storage is proposed. In the first stage, an electricity trading strategy is formulated based on game theory, which can promote the local consumption of distributed PV and balance the income of supply and demand. In the second stage, the power trading strategy of the first stage is tracked through the active/reactive power coordination control of the distribution system to optimize the operation state of the distribution network. Finally, an example is given to verify the effectiveness of the proposed method.