配电网储能系统, 量子粒子群算法, 全生命周期成本, 容量优化配置

Distribution network is usually composed of multiple nodes, with complex structure and characteristics, and the load demand is uncertain and spatio-temporal changes, including sudden load and seasonal changes, resulting in greater difficulty in optimizing the allocation of energy storage capacity. Therefore,an optimal allocation method for energy storage capacity of distribution network is proposed. The whole life cycle cost, new energy power abandonment rate and system load power shortage rate are selected as the configuration indicators, the objective function is established, and constraint conditions are established according to the requirements of system energy conservation and supply demand balance. The mutation operation is introduced, and the QPSO(Quantum Particle Swarm Optimization) algorithm is used to obtain the optimal solution of the configuration model, and the optimal configuration scheme is obtained. The typical load daily variation trend and test results of key indicators of the distribution network show that the total load power in summer and winter reaches 8 561. 52 kW and 9 017. 88 kW respectively, most of the nuclear parameters are at a high value, and the power abandonment, power shortage and power purchase costs have also dropped significantly. It can be seen that the scheme obtained by this method is reasonable and feasible, and can ensure reliable, efficient and cost-effective power supply.

distribution network energy storage system, quantum particle swarm optimization algorithm, full lifecycle cost, capacity optimization configuration