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Optimal location of a new generating unit using particle swarm optimization

机译:使用粒子群算法优化新发电机组的位置

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摘要

The electricity consumption has been continuously increasing due to rapid population growth, economic growth and developing industrial sectors. Therefore, it is necessary to forecast the future load demand and expand generation capacity to meet the increasing load demand. This paper presents a methodology to determine the optimal location for installing a new generating unit in which the technical, economic and environmental aspects are all taken into consideration. The location that yields the minimum overall fuel cost, total emission and system loss is considered as the optimal location for installing the new generating unit. Particle swarm optimization (PSO) is employed in the proposed methodology to solve the optimization problem. The proposed methodology would be appropriate for an electric utility with a central planning organization. Case studies are carried out on IEEE 14-bus system to illustrate the potential of the new approach. The results show that the method works effectively and applicable to practical network.
机译:由于人口的快速增长,经济增长和工业部门的发展,电力消耗一直在不断增加。因此,有必要预测未来的负荷需求并扩大发电能力,以满足不断增长的负荷需求。本文提出了一种确定安装新发电机组的最佳位置的方法,其中已将技术,经济和环境方面的所有因素都考虑在内。产生最低总燃料成本,总排放量和系统损失的位置被认为是安装新发电机组的最佳位置。提出的方法采用了粒子群算法(PSO)解决了优化问题。拟议的方法将适合于具有中央计划组织的电力公司。在IEEE 14总线系统上进行了案例研究,以说明这种新方法的潜力。结果表明,该方法有效有效,适用于实际网络。

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