Abstract

This study proposes the application of an efficient and hybrid meta-heuristic algorithm of Harris Hawk-Particle Swarm Optimizer (HHOPSO) for solving voltage constrained reactive power planning (VCRPP) problem. The prime objective of present work is diminishing the transmission loss and overall operating cost coupled with retention of voltage consistency and enhanced congestion management in transmission lines. The efficacy of the proposed algorithm is tested on standard IEEE 57 bus test system with optimal transformer tap settings, reactive generation control, generator voltage control and optimal control of Var sources. The best location of Var sources is determined by Voltage Collapse Proximity Indicator (VCPI) method. Simulation results are generated under normal and variable reactive power loading condition which makes the reactive power planning problem more challenging and validates the robustness of the proposed algorithm. The results of proposed algorithm when compared with the other optimization algorithms surfaced in contemporary state of art literature yields superior solution in maintaining diversity and solution optimality.

摘要

本研究提出了应用 Harris Hawk-Particle Swarm Optimizer (HHOPSO) 的高效混合元启发式算法来解决电压约束无功功率规划 (VCRPP) 问题。当前工作的主要目标是减少输电损失和总体运营成本，同时保持电压一致性和加强输电线路的拥塞管理。在具有最佳变压器抽头设置、无功发电控制、发电机电压控制和无功源最佳控制的标准 IEEE 57 总线测试系统上测试了所提出算法的有效性。Var 源的最佳位置由电压崩溃接近指示器 (VCPI) 方法确定。仿真结果是在正常和可变无功负载条件下生成的，这使得无功规划问题更具挑战性，并验证了所提出算法的鲁棒性。与当代艺术文献中出现的其他优化算法相比，所提出算法的结果在保持多样性和解决方案最优性方面产生了卓越的解决方案。