Optimal allocation of photovoltaic energy storage on user side and benefit analysis of multiple entities

Abstract

A bi-level optimization configuration model of user-side photovoltaic energy storage (PVES) is proposed considering of distributed photovoltaic power generation and service life of energy storage. The upper layer takes the user’s lowest annual comprehensive cost as the objective function to optimize the capacity of photovoltaic & energy storage and power of energy storage considering the user’s annual electricity bill, basic electricity bill, and investment, operation and maintenance cost of PVES. The lower level takes the minimum daily operation scheduling cost as the objective function to optimize the charging and discharging control strategy of energy storage. The YALMIP solver is used to solve the optimization model, and the effectiveness of the model is verified through an example, which shows that reasonable configuration of photovoltaic & energy storage can reduce the user’s overall annual cost. In the context of the current national electricity price adjustment policy, by analyzing the impact of different time-of-use (TOU) electricity prices and basic electricity charges on the configuration capacity of user-side PVES to find the break-even point of the user’s PVES investment return rate in order to provide guidance to users for installing PVES systems. By analyzing the impact of different TOU electricity prices and basic electricity rates on the benefits of multiple entities, and taking into account the benefits of users, power grids and society at the same time to provide a theoretical basis for formulating a reasonable electricity price system.