面向储能电站调度的光储发电系统运行优化策略研究

光储联合发电系统的优化调度策略是实现光储联合发电系统经济及安全运行的重要保障,然而传统的经济优化调度模型并未考虑电池储能电站内部电池的有效管理。本文提出了一种经济优化调度策略,依据储能系统各电池组性能参数和运行状态,以储能系统运行一天总成本最低为优化目标,以系统平衡、荷电状态、功率限值和调度循环为约束条件,建立了经济优化调度数学模型,并应用改进粒子群算法进行求解。最后,算例仿真结果验证了改进粒子群算法的优越性和优化调度策略在光储联合发电系统中应用的可行性。

Operation Optimization of Photovoltaic-energy Storage Hybrid System Based on Scheduling of Battery Energy Storage System

The optimal scheduling strategy of photovoltaic-energy storage hybrid system is an important guarantee for the economic and safe operation of photovoltaic-energy storage hybrid system,but the traditional economic dispatch models do not consider the effective management of the battery energy storage station (BESS)''s internal battery.An economic optimal scheduling strategy of photovoltaic-energy storage hybrid system is put forward,and a mathematics model of economic optimal scheduling is established by taken the lowest total cost a day as optimization objectives and using the power balancing,state of charge,power limit and scheduling cycle as constraint conditions,according to performance parameters and operating conditions of each battery pack.Improved particle swarm optimization (IPSO) algorithm is applied to solve the mathematics model.Finally,the simulation result proved that the improved particle swarm optimization algorithm is superior and the scheduling strategy is proper in the application of photovoltaic-energy storage hybrid system.