改善风电输出功率特性的复合储能系统优化配置  

Optimization Configuration of Hybrid Energy Storage System for Improving Power Output Characteristics of Wind Farm

作　　者：谢应昭[1] 卢继平[1] 翁宗林 尹远[3] 

机构地区：[1]输配电装备及系统安全与新技术国家重点实验室(重庆大学),重庆市沙坪坝区400044 [2]重庆电力设计院,重庆市渝北区401121 [3]国网四川省电力公司信息通信公司,四川省成都市610041

出　　处：《电网技术》2016年第7期2052-2058,共7页Power System Technology

摘　　要：随着储能技术的快速发展,为风电场配置合适的储能系统成为解决风电功率随机性和波动性问题的重要途径。与单一储能相比,不同类型储能的联合应用在技术经济方面更具优势。提出了量化风电功率输出要求的风电功率波动特性指标。以该指标和基于动态滤波时间常数的功率分配方法为基础,以风电功率输出要求和复合储能系统技术经济要求为约束条件,建立了电池和超级电容相结合的复合储能系统双层优化配置模型。采用嵌套粒子群算法对上述模型进行求解,所得优化配置方案能使储能系统投资成本或年均综合成本最小。最后,通过算例分析验证了所提指标和模型的正确性和有效性,并对特性指标、储能形式、目标函数变化给配置结果带来的影响进行了讨论。Randomity and fluctuation of wind power is the largest obstacle on large-scale wind power integration. With rapid development of energy storage technology, it becomes an important method solving problem to configure appropriate energy storage system in wind farm. Compared with single energy storage mode, combined configuration of different types of energy storage devices has technological and economic advantage. The paper proposes a wind power fluctuation characteristic index to quantify power output request of wind farm. On basis of wind power fluctuation characteristic index and power dispatching method with variable filter time constant, double-level optimization configuration model of hybrid energy storage system combined with battery and supercapacitor is founded, taking power output request of wind farm and technical and economic requests of hybrid energy storage system as constraints. Nested particle swarm optimization algorithm is adopted to solve the proposed model. Configuration results obtained with the proposed model minimize investment or annually total cost of energy storage system. Case study verifies correctness and effectiveness of the proposed index and optimization model. Effect of variation of characteristic index and energy storage mode and objective function of optimization model on configuration results is discussed.

关 键 词：波动特性指标 动态时间常数 复合储能系统 优化配置模型 

分 类 号：TM761[电气工程—电力系统及自动化]