Optimal Operation and Benefit Balance Strategy for Flexible Distribution Network Considering Cycle Life of Energy Storage

To solve the problem of insufficient consideration of energy storage life model and multi-agent peak-shaving benefits, a distributed robust optimal operation and benefit balance strategy is proposed for the flexible distribution network considering the cycle life of energy storage. First, considering the uncertainty of photovoltaic and the interaction between supply and demand, and embedding the constraints of load demand response and the cycle life of energy storage, a data-driven two-stage distributed robust optimal operation model is established with the goal of maximizing the total operation income of the system. Secondly, the model is convex into a mixed-integer convex programming problem by means of equivalent transformation, big-M method, McCormick and second-order cone relaxation. The fuzzy set of probability distribution of random variables is constrained by adjustable relative entropy and solved by column and constraint generation algorithm. Then, the improved Shapley value method is applied to the allocation of peak-shaving benefits among multiple energy storage systems to balance the construction cost of energy storage itself. Finally, the effectiveness of the proposed optimization model is verified by a 293-bus case. © 2023 Automation of Electric Power Systems Press. All rights reserved.