文章摘要
面向储能电站调度的光储发电系统运行优化策略研究
Strategy Research on Operation Optimization of Photovoltaic-energy storage Hybrid System Based on Scheduling of Battery Energy Storage System
投稿时间:2017-02-08  修订日期:2017-03-22
DOI:
中文关键词: 电池储能电站  光储联合发电系统  经济  优化  调度策略  粒子群算法
英文关键词: battery energy station  photovoltaic-energy storage hybrid system  economic  optimization  dispatching strategy  particle swarm optimization algorithm
基金项目:
作者单位E-mail
张国玉 南京工程学院 zgyhhuc@163.com 
洪超 景德镇陶瓷大学  
陈杜琳 南京工程学院  
叶季蕾 中国电力科学研究院  
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中文摘要:
      针对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。
英文摘要:
      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 station’s internal battery. In this paper,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.
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