Analyzing multi-microgrid with stochastic uncertainties including optimal PV allocation

H. Keshtkar, J. Solanki, S. K. Solanki
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引用次数: 4

Abstract

This paper presents the effects of Photovoltaic (PV) location on losses of the distribution system. The optimal location of PV is determined by using Particle Swarm Optimization (PSO) implemented in MATLAB-OpenDSS environment. IEEE 34-node test feeder is employed to verify the feasibility and effectiveness of the developed method. Once the optimal location is determined the challenge still remains due to the uncertain behavior of the PV system. This effect along with other stochastic behaviors such as the uncertain output power of loads like Plug-in Hybrid Electric Vehicles (PHEVs) due to their stochastic charging and discharging, that of a wind generation unit due to the stochastic wind speed, and that of a solar generating source due to the stochastic illumination intensity, add problems like frequency oscillations in a microgrid. Hence, frequency control of a multi microgrid system is also addressed.
包含PV最优分配的随机不确定性多微电网分析
本文介绍了光伏发电位置对配电系统损耗的影响。利用在MATLAB-OpenDSS环境下实现的粒子群算法(PSO)确定PV的最优位置。采用IEEE 34节点测试馈线验证了所提出方法的可行性和有效性。一旦确定了最佳位置,由于光伏系统的不确定行为,挑战仍然存在。这种影响加上其他随机行为,如插电式混合动力汽车(phev)等负载由于随机充放电而产生的输出功率不确定,风力发电机组由于随机风速而产生的输出功率不确定,以及太阳能发电源由于随机光照强度而产生的输出功率不确定,增加了微电网中的频率振荡等问题。因此,多微电网系统的频率控制也得到了解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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