Application of whale algorithm optimizer for unified power flow controller optimization with consideration of renewable energy sources uncertainty

A. Laifa, B. Ayachi
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Abstract

Purpose. In this paper an allocation methodology of Flexible Alternating Current Transmission Systems (FACTS) controllers, more specifically, the Unified Power Flow Controller (UPFC) is proposed. As the penetration of Renewable Energy Sources (RESs) into the conventional electric grid increases, its effect on this location must be investigated. Research studies have shown that the uncertainty of RESs in power generation influences the reactive power of a power system network and consequently its overall transmission losses. The novelty of the proposed work consists in the improvement of voltage profile and the minimization of active power loss by considering renewable energy sources intermittency in the network via optimal location of UPFC device. The allocation strategy associates the steady-state analysis of the electrical network, with the location and adjustment of controller parameters using the Whale Optimization Algorithm (WOA) technique. Methodology. In order to determine the location of UPFC, approaches are proposed based on identification of a line which is the most sensitive and effective with respect to voltage security enhancement, congestion alleviation as well as direct optimization approach. The optimum location of UPFC in the power system is discussed in this paper using line loading index, line stability index and optimization method. The objective function is solved using the WOA algorithm and its performance is evaluated by comparison with Particle Swarm Optimization (PSO) algorithm. Results. The effectiveness of the proposed allocation methodology is verified through the analysis of simulations performed on standard IEEE 30 bus test system considering different load conditions. The obtained results demonstrate that feasible and effective solutions are obtained using the proposed approach and can be used to overcome the optimum location issue. Additionally, the results show that when UPFC device is strategically positioned in the electrical network and uncertainty of RES is considered, there is a significant influence on the overall transmission loss and voltage profile enhancements of the network.
鲸鱼算法优化器在考虑可再生能源不确定性的统一潮流控制器优化中的应用
目的。本文提出了一种柔性交流输电系统(FACTS)控制器的分配方法,即统一潮流控制器(UPFC)。随着可再生能源(RESs)对传统电网的渗透增加,必须调查其对该地区的影响。研究表明,发电过程中RESs的不确定性会影响电网的无功功率,进而影响电网的整体输电损耗。本文的新颖之处在于,通过优化UPFC设备的位置,考虑网络中可再生能源的间歇性,改善了电压分布,使有功功率损耗最小化。该分配策略将电网的稳态分析与使用Whale优化算法(WOA)技术定位和调整控制器参数联系起来。方法。为了确定UPFC的位置,提出了基于线路识别的方法,该方法在增强电压安全、缓解拥塞和直接优化方面最敏感、最有效。本文采用线路负荷指标、线路稳定指标和优化方法,讨论了UPFC在电力系统中的最佳位置。采用WOA算法求解目标函数,并与粒子群优化算法(Particle Swarm Optimization, PSO)进行比较,评价其性能。结果。通过在标准IEEE 30总线测试系统上考虑不同负载条件的仿真分析,验证了所提分配方法的有效性。计算结果表明,该方法可有效地解决最优选址问题。此外,研究结果表明,当UPFC设备在电网中有策略地定位时,考虑到RES的不确定性,对电网的整体传输损耗和电压分布增强有显著影响。
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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