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Interactive DE for solving combined security environmental economic dispatch considering FACTS technology

机译:考虑FACTS技术的交互式DE解决联合安全环境经济调度

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摘要

This paper presents an efficient interactive differential evolution (IDE) to solve the multi-objective security environmental/economic dispatch (SEED) problem considering multi shunt flexible AC transmission system (FACTS) devices. Two sub problems are proposed. The first one is related to the active power planning to minimize the combined total fuel cost and emissions, while the second is a reactive power planning (RPP) using multi shunt FACTS device based static VAR compensator (SVC) installed at specified buses to make fine corrections to the voltage deviation, voltage phase profiles and reactive power violation. The migration operation inspired from biogeography-based optimization (BBO) algorithm is newly introduced in the proposed approach, thereby effectively exploring and exploiting promising regions in a space search by creating dynamically new efficient partitions. This new mechanism based migration between individuals from different subsystems makes the initial partitions to react more by changing experiences. To validate the robustness of the proposed approach, the proposed algorithm is tested on the Algerian 59-bus electrical network and on a large system, 40 generating units considering valve-point loading effect. Comparison of the results with recent global optimization methods show the superiority of the proposed IDE approach and confirm its potential for solving practical optimal power flow in terms of solution quality and convergence characteristics.
机译:本文提出了一种有效的交互式差分进化算法(IDE),以解决考虑多并联柔性交流输电系统(FACTS)装置的多目标安全环境/经济调度(SEED)问题。提出了两个子问题。第一个与有功功率规划有关,以最大程度地减少总的燃料成本和排放,第二个是无功功率规划(RPP),它使用基于多分流FACTS装置的静态VAR补偿器(SVC)安装在指定的公交车上,以确保校正电压偏差,电压相位曲线和无功功率违规。该方法新引入了基于生物地理优化(BBO)算法的迁移操作,从而通过动态创建新的有效分区来有效地探索和利用空间搜索中有希望的区域。来自不同子系统的个人之间基于迁移的这种新机制使初始分区可以通过改变体验来做出更多反应。为了验证该方法的鲁棒性,该算法在阿尔及利亚59总线电网和大型系统(考虑阀点负载影响的40个发电机组)上进行了测试。将结果与最新的全局优化方法进行比较,显示了所提出的IDE方法的优越性,并证实了其在解决方案质量和收敛特性方面解决实际最佳功率流的潜力。

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