基于布谷鸟搜索算法的微网多目标优化运行研究  

Study on Multi-objective Optimal Operation of Micro-grid Based on Cuckoo Search Algorithm

作　　者：徐多[1] 李鹏[1] 

机构地区：[1]华北电力大学新能源电力系统国家重点实验室,河北保定071003

出　　处：《陕西电力》2014年第9期1-5,10,共6页Shanxi Electric Power

基　　金：国家自然科学基金资助项目(71071052)

摘　　要：微网能有效地接入包括可再生能源发电在内的各类分布式新能源,而可再生能源发电的输出功率具有不确定性,给微网的经济、可靠和安全运行带来了挑战。蓄电池作为储能装置是保证微网系统安全可靠运行的重要组成部分。研究了含风力发电、光伏发电和蓄电池的微网的特性,考虑了微网发电费用、排污罚款、供电可靠性和网络损耗,建立了多目标微网优化运行模型。采用多目标的布谷鸟搜索算法来求解该复杂非线性优化问题,微网算例的仿真结果验证了模型的正确性和算法的有效性。Micro-grid provides an effective way of the access of distributed new energy generation including renewable energy generation. Bat the uncertainty of the output power of the renewable energy power generation has brought challenges to the economic, reliable and sate. nperation of the micro-grid. Therefore,it is important to take storage battery as energy storage device for ensuring the safe and reliable operation of the micro-grid by. This paper studies the characteristics of the micro-grid with wind power generation, photovohaic power generation and storage battery, and establishes a multi-objective optimization model for the micro-grid operation considering generation cost, pollution fines, power supply reliability and network loss. Finally, the paper uses multi- objective cuckoo search algorithm to solve the complex nonlinear optimization problems. The simulation results from the example of the micro-grid verify the correctness of the proposed model and the availability of the algorithm.

关 键 词：微网 优化运行 多目标 布谷鸟搜索算法 蓄电池 

分 类 号：TM732[电气工程—电力系统及自动化]