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首页> 外文期刊>European transactions on electrical power engineering >Simultaneous allocation of photovoltaic DG and DSTATCOM for techno-economic and environmental benefits in electrical distribution systems at different loading conditions using novel hybrid optimization algorithms
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Simultaneous allocation of photovoltaic DG and DSTATCOM for techno-economic and environmental benefits in electrical distribution systems at different loading conditions using novel hybrid optimization algorithms

机译：采用新型杂交优化算法同时分配光伏DG和DSTATCOM在不同负载条件下的电气分配系统中的技术效益

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摘要

Enhancing distribution system operation accomplished with the integration of renewable energy resources (RERs) has several technical, economical, and environmental dimensions. In this regard, this paper presents an optimal integration procedure of Distributed Generation (DG) based on Photovoltaic panel (PV) and Distribution Static Compensator (DSTATCOM) in Electrical Distribution System (EDS). The proposed procedure is formulated as a multi-objective function (MOF). The considered objectives that reflect the technical, economic, and environmental issues, are Active Power Loss Level (APLL), Short Circuit Level (SCL), Voltage Deviation Level (VDL), Net Saving Level (NSL), and Environmental Pollution Reduction Level (EPRL). The proposed procedure investigates several hybrid optimization methods that combine the firefly algorithm (FA) with various acceleration coefficients PSO algorithms to improve the overall solution quality of the hybrid algorithms compared with the individual algorithms. To prove the capability of the proposed procedure, four different cases are tested on IEEE 33-bus and 69-bus EDSs. Added to that, the proposed algorithms are extended to practical Algerian EDS in Adrar City 205-bus. Results obtained by the hybrid FA-SCAC-PSO algorithm showed that the simultaneous allocation of multiple DG and DSTATCOM in all standard and practical test systems significantly reduces the loss and enhances the voltage profile. An energy-efficient analysis to proceed for different cases studied based on the best hybrid FA-SCAC-PSO algorithm to reach the best value of MOF compared to other algorithms, moreover the capability to achieve the optimal allocation of DG and DSTATCOM by maintaining the voltages profile within the permissible limit, whatever the variation of load. Significant technical economic and environmental achievements are found for different case studies especially in the existence of DGs and DSTATCOM devices.
机译：通过集成可再生能源资源（RERS）实现的增强分配系统操作具有多种技术，经济和环境尺寸。在这方面，本文基于光伏板（PV）和配电静态补偿器（DSTATCCOM）在配电系统（EDS）中提出了一种最佳的集成程序。所提出的程序制定为多目标函数（MOF）。反映技术，经济和环境问题的考虑目标是有源功率损耗水平（APLL），短路电平（SCL），电压偏差水平（VDL），净节约级别（NSL）和环境污染降低水平（ EPRL）。所提出的程序调查了几种混合优化方法，该方法将萤火虫算法（FA）与各种加速度系数PSO算法组合，以提高与个体算法相比的混合算法的整体解决方案质量。为了证明所提出的程序的能力，在IEEE 33公交车和69母线EDS上测试了四种不同的案例。添加到该方面，所提出的算法扩展到Adrar City 205公交车的实用阿尔及利亚EDS。通过混合FA-SCAC-PSO算法获得的结果表明，在所有标准和实际测试系统中同时分配多个DG和DSTATCOM显着降低了损耗并增强了电压曲线。基于最佳混合FA-SCAC-PSO算法研究的不同案例进行了节能分析，以达到其他算法与其他算法相比最佳MOF的值，而且通过维持电压来实现DG和DSTATCOM的最佳分配无论负载的变化如何，都在允许的限制范围内。针对不同案例研究，特别是在DGS和DSTATCOM设备的存在中，发现了显着的技术经济和环境成果。

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