机译:蚁群算法最优分布发电定位和损耗最小化和电压曲线优化的尺寸
Department of Mechanical Engineering University of Ibadan Ibadan Nigeria;
Department of Mechanical Engineering University of Ibadan Ibadan Nigeria;
Department of Computer Science City University of Hong Kong Kowloon Hong Kong Department of Mathematical Sciences Kings University Ode‑Omu Osun State Nigeria;
Department of Mechanical Engineering University of Ibadan Ibadan Nigeria;
Department of Electrical and Electronic Engineering Federal Polytechnic Ede Ede Nigeria;
Power Equipment and Electrical Machinery Development Institute Okene Kogi State Nigeria;
Ant colony optimization (ACO); Distributed generation (DG); Renewable energy; Power flow; Voltage quality;
机译:考虑电压稳定性和电压分布改善,降低功率损耗和降低投资成本的Wale优化算法,优化分布式发电的规模和规模
机译:使用模拟退火算法的最佳位置和分布式发电规模,以最大程度地降低功率损耗
机译:蚂蚁优化算法可优化分布式发电的选址和规模
机译:使用粒子群优化和灵敏度分析的配电系统中最佳的分布式发电布置和尺寸,以降低损耗和总谐波失真并改善电压曲线
机译:蚁群优化算法在组合优化中的应用。
机译:使用自然启发算法优化多个DG单元的选址和选型以增强传输系统中的电压分布并降低损耗
机译:蚁群算法最优分布发电定位和损耗最小化和电压曲线优化的尺寸