摘要
针对功率型和能量型储能装置的特点,提出了一种由小水电群等多种分布式能源构成的微电网混合储能容量最优配置方法。基于风、光、水年出力特性曲线与全网年负荷曲线,以购置成本、运行与处理成本为目标,系统储能容量、微网瞬时功率、系统最小功率、蓄电池放电深度以及超级电容充放电电流与电压等条件为约束,采用自适应遗传算法对目标函数进行求解,得到混合储能系统中蓄电池和超级电容的最优容量。结果表明,较之传统的蓄电池储能系统,混合储能系统可以大大减小购置与运行成本。
The configuration of energy storage is an effective way to solve the power output intermittency and volatility of distributed energy sources such as wind, photo-voltaic and hydro-power.According to the characteristics of power-type and energy-type storage devices, this paper proposes a configuration method of hybrid energy storage capacity in micro-grid containing small hydro-power cluster which is comprised of a variety of distributed energy.The method is based on the year output characteristic curve of wind, photo-voltaic and hydro-power and the entire network load curve, sets purchase, operational maintenance and processing cost as the objective function and the system storage capacity, the micro-grid instantaneous power, the minimum system power, the discharge depth of batteries and the charge and discharge current and voltage of super capacitors as the constraints, and adopts the adaptive genetic algorithm to solve the objective function for getting the optimal hybrid energy storage capacity of the system for batteries and super capacitors. Results show that hybrid energy storage system has greatly reduced the purchase and operating cost when compared with the traditional battery energy storage system.
出处
《可再生能源》
CAS
北大核心
2016年第11期1658-1664,共7页
Renewable Energy Resources
基金
国际科技合作专项(2014DFG72240)
国家电网公司总部科技项目(52182013000V)
南昌大学研究生创新专项资金项目(cx2015135)
关键词
分布式能源
混合储能
蓄电池
超级电容
predictive distributed energy
hybrid energy storage
battery
super capacitor