摘要
风电固有的随机性、波动性和间歇性使其难以跟踪调度计划运行。引入储能系统可以改善风电场的可调度性,但单一类型的储能系统不具备应用的经济性,为此,提出了一种混合储能系统提升风电跟踪目标出力能力的优化控制策略。该优化控制策略可分为混合储能系统的内部能量协调控制和多目标优化控制两部分,在不同储能系统的荷电状态下SOC(state of charge)采用适合的控制方法,实现了优化跟踪控制。其中,多目标优化模型一方面考虑了延长电池寿命,另一方面充分利用了超级电容器的特性,采用NSGA-Ⅱ法求解,实现了合理地对分配电池和超级电容器的功率目的,并在Matlab平台上进行仿真,结果验证了该控制策略的有效性。
The inherent randomicity,volatility, and intermittency of wind power makes it difficult to track the dispatching plan. Although the introduction of an energy storage system can improve the schedulability of wind farms, a single-type of energy storage system is not suitable for applications due to its poor economic efficiency. Inthis paper,an optimal control strategy for improving the capability of wind power tracking dispatching plan is proposed based on a hybrid energy storage system. This strategycan be divided into two parts, i.e., coordinated control of internal energy in the hybrid energy storage system and multi-objective optimal control;by using appropriate control methods in the state of charge（SOC） of different energy storage systems, the optimal tracking control can be realized. On one hand, the multi-objective optimization model takes the extension of battery life into account; on the other hand, it fully takes advantage of the characteristics of supercapacitors. The NSGA-Ⅱ method is used to solve this model, achievinga reasonable power distribution between batteries and supercapacitors. Simulations are conducted on a MATLAB platform, and results verify the effectiveness of the proposed control strategy.
作者
谢志佳
李建林
程伟
刘昭亮
XIE Zhijia;LI Jianlin;CHENG Wei;LIU Zhaoliang(State Key Laboratory of Operation and Control of Renewable Energy ＆ Storage Systems,China Electric Power Research Institute Ltd.,Beijing 100192,China;Tianjin Tuo Xin Li Shen Electric Vehicle Rental Co.,Ltd.,Tianjin 300380,China)
出处
《电源学报》
CSCD
北大核心
2018年第4期28-34,共7页
Journal of Power Supply
基金
湖南省科技重大专项资助项目(2016GK1003)
国家重点研发计划资助项目(2017YFB0903505)
国家自然科学基金资助项目(51777197)~~
关键词
混合储能
跟踪目标出力
优化控制
hybrid energy storage system
tracking dispatching plan
optimal control
