Performance investigation of ABC algorithm in multi-area power system with multiple interconnected generators
Performance investigation of ABC algorithm in multi-area power system with multiple interconnected generators
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DOI：
10.1016/j.asoc.2017.03.044
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发表时间：
2017-08
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通讯作者：
K. Vijyakumar;H. Mokhlis;A. Bakar;V. Terzija
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作者：
K. Vijyakumar;H. Mokhlis;A. Bakar;V. Terzija
对人工蜂群算法在多机互联的多区域电力系统负荷频率控制中的应用进行了深入研究。LFC模型包括各种可能的物理约束和非线性，如发电速率约束，时间延迟，死区和锅炉。采用ABC算法求解最优PID控制器参数。针对不同的优化技术，如进化规划（EP），遗传算法（GA），引力搜索算法（GSA）和粒子群优化（PSO）的调整性能进行了比较研究。系统的鲁棒性分析也评估通过调查的动态响应的控制器与负载需求在不同的时间步长，调整基于不同的性能标准，并通过改变负载需求。系统的性能评估的基础上的建立时间和最大超调值的频偏响应。ABC的性能也验证了对基于区间减半方法的穷举搜索。尽管采用单个控制器的多个互连的发电机，优化的控制器是能够成功地阻尼系统响应的振荡，并在最短的时间内调节区域控制误差回到零。结果表明，ABC算法的搜索机制在寻找PID控制器增益的最佳设置的优越性。
This paper presents an extensive study on the application of Artificial Bee Colony (ABC) algorithm for load frequency control (LFC) in multi-area power system with multiple interconnected generators. The LFC model incorporates various possible physical constraints and non-linearities such as generation rate constraint, time delay, dead zone and boiler. The ABC algorithm is used to find the optimum PID controller parameters. The tuning performance of the algorithm is comparatively investigated against different optimization technique such as evolutionary programming (EP), genetic algorithm (GA), gravitational search algorithm (GSA) and particle swarm optimization (PSO). The robustness analysis of the system is also evaluated by investigating the dynamic response of the controller with load demand at varying time step, tuning based on different performance criterion and by varying the load demand. The performance of the system is evaluated based on the settling time and maximum overshoot value of the frequency deviation response. The performance of ABC is also verified against an exhaustive search based on interval halving method. Despite employing a single controller for multiple interconnected generators, the optimized controller is able to successfully damp oscillations in the system response and regulate the area control error back to zero in minimal amount of time. The results indicate the superiority of the ABC algorithm’s search mechanism in finding the optimum set of PID controller’s gain.