Solving Optimal Power Flow Using Modified Bacterial Foraging Algorithm Considering FACTS Devices

In this paper, a new Modified Bacterial Foraging Algorithm (MBFA) method is developed to incorporate FACTS devices in optimal power flow (OPF) problem. This method can provide an enhanced economic solution with the use of controllable FACTS devices. Two types of FACTS devices, thyristor controlled series compensators (TCSC) and Static VAR Compensator (SVC) are considered in this method. The basic bacterial foraging algorithm (BFA) is an evolutionary optimization technique inspired by the foraging behavior of the E. coli bacteria. The strategy of the OPF problem is decomposed in two sub-problems, the first sub-problem related to active power planning to minimize the fuel cost function, and the second sub-problem designed to make corrections to the voltage deviation and reactive power violation based in an efficient reactive power planning of multi Static VAR Compensator (SVC). The specified power flow control constraints due to the use of FACTS devices are included in the OPF problem. The proposed method decomposes the solution of such modified OPF problem into two sub problems’ iteration. The first sub problem is a power flow control problem and the second sub problem is a modified Bacterial foraging algorithm (MBFA) OPF problem. The two sub problems are solved iteratively until convergence. Case studies are presented to show the effectiveness of the proposed method.

考虑电力系统经济调度的可用输电能力计算方法

本文提出了一种考虑电力系统经济调度的可用输电能力(Available Transfer Capability,ATC)计算方法。该方法通过增加发电区域总发电量,达到极大化发电区域总发电量的目标,在系统每一运行点对送电区域发电机出力进行经济调度,从而使系统运行于经济最优状态,并引入简化的电压稳定局部指标L,从静态电压稳定角度确定系统的临界状态,从而有效评估了系统的可用输电能力。运用综合粒子群算法思想的改进细菌觅食算法对IEEE30节点系统进行了仿真,在保证收敛精度的前提下,提高了搜索速度,仿真结果验证了该方法的可行性与合理性,有效解决了考虑经济调度的系统可用输电能力的计算问题。