Muhammad Yasir, Akhtar Rizwan, Khan Rahimdad, Ullah Farman, Raja Muhammad Asif Zahoor, Machado J A Tenreiro
Department of Electrical and Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantt, 47040, Pakistan.
Department of Computer Science and Software Engineering, Pak-Austria Fachhochschule: Institute of Applied Science and Technology, Haripur, 22620, Pakistan.
Sci Rep. 2021 Jan 12;11(1):593. doi: 10.1038/s41598-020-79838-2.
Reactive power dispatch is a vital problem in the operation, planning and control of power system for obtaining a fixed economic load expedition. An optimal dispatch reduces the grid congestion through the minimization of the active power loss. This strategy involves adjusting the transformer tap settings, generator voltages and reactive power sources, such as flexible alternating current transmission systems (FACTS). The optimal dispatch improves the system security, voltage profile, power transfer capability and overall network efficiency. In the present work, a fractional evolutionary approach achieves the desired objectives of reactive power planning by incorporating FACTS devices. Two compensation arrangements are possible: the shunt type compensation, through Static Var compensator (SVC) and the series compensation through the Thyristor controlled series compensator (TCSC). The fractional order Darwinian Particle Swarm Optimization (FO-DPSO) is implemented on the standard IEEE 30, IEEE 57 and IEEE 118 bus test systems. The power flow analysis is used for determining the location of TCSC, while the voltage collapse proximity indication (VCPI) method identifies the location of the SVC. The superiority of the FO-DPSO is demonstrated by comparing the results with those obtained by other techniques in terms of measure of central tendency, variation indices and time complexity.
无功功率调度是电力系统运行、规划和控制中的一个关键问题，旨在实现固定的经济负荷分配。最优调度通过最小化有功功率损耗来减少电网拥堵。该策略涉及调整变压器分接头设置、发电机电压和无功功率源，如灵活交流输电系统（FACTS）。最优调度可提高系统安全性、电压分布、功率传输能力和整体网络效率。在当前工作中，一种分数阶进化方法通过纳入FACTS装置实现了无功功率规划的预期目标。有两种补偿方式：通过静止无功补偿器（SVC）进行并联型补偿，以及通过晶闸管控制串联补偿器（TCSC）进行串联补偿。分数阶达尔文粒子群优化算法（FO-DPSO）应用于标准的IEEE 30、IEEE 57和IEEE 118节点测试系统。潮流分析用于确定TCSC的位置，而电压崩溃接近度指示（VCPI）方法用于确定SVC的位置。通过在集中趋势度量、变异指标和时间复杂度方面将结果与其他技术获得的结果进行比较，证明了FO-DPSO的优越性。
