An Improved Strength Pareto Evolutionary Algorithm for Optimization of Residents' Load and Storage

A coordinated optimization model for load and storage based on the improved strength Pareto evolutionary algorithm, to improve the power quality, electricity consumption reliability and reduce the cost of the electricity. First of all, a model for the users' energy storage system is established and proposed the principles to classify the loads according to the statue of the participation. Secondly, considering the mechanism of time-of-use price and demand response, a multi-objective load and storage coordinated optimization model is proposed with the objectives of reducing the cost of electricity, fixing voltage deviation, and extending the electricity consumption time. The model considering the constraints of power balance, the state of charge of the energy storage system, and the allowed range of flexible load. Then, an optimal solution strategy is proposed based on the improved strength Pareto evolutionary algorithm. Finally, the effectiveness of the proposed model is verified by a low-voltage network simulation example.