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,International Transactions on Electrical Energy Systems

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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
International Transactions on Electrical Energy Systems ( IF 1.9 ) Pub Date : 2021-06-22 , DOI: 10.1002/2050-7038.12992
Mohamed Zellagui _{1,

2} , Adel Lasmari ₃ , Samir Settoul ₃ , Ragab A. El‐Sehiemy ₄ , Claude Ziad El‐Bayeh ₅ , Rachid Chenni ₃

Affiliation

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.

中文翻译：

使用新型混合优化算法在不同负载条件下同时分配光伏 DG 和 DSTATCOM 以实现配电系统的技术经济和环境效益

通过整合可再生能源 (RER) 来增强配电系统运行具有多个技术、经济和环境维度。在这方面，本文提出了一种基于光伏板 (PV) 和配电静态补偿器 (DSTATCOM) 的分布式发电 (DG) 在配电系统 (EDS) 中的最佳集成程序。所提出的程序被制定为多目标函数（MOF）。反映技术、经济和环境问题的考虑目标是有功功率损耗水平 (APLL)、短路水平 (SCL)、电压偏差水平 (VDL)、净节能水平 (NSL) 和环境污染减少水平 ( EPRL）。所提出的程序研究了几种混合优化方法，将萤火虫算法 (FA) 与各种加速系数 PSO 算法相结合，以提高混合算法与单个算法相比的整体解决方案质量。为了证明所提出程序的能力，在 IEEE 33 总线和 69 总线 EDS 上测试了四种不同的情况。除此之外，所提出的算法被扩展到 Adrar City 205-bus 中实用的阿尔及利亚 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分布。与其他算法相比，基于最佳混合 FA-SCAC-PSO 算法研究不同案例的能效分析，以达到 MOF 的最佳值，此外通过保持电压实现 DG 和 DSTATCOM 的优化分配的能力无论负载如何变化，都在允许的范围内。在不同的案例研究中发现了重大的技术经济和环境成就，尤其是在 DG 和 DSTATCOM 设备的存在中。

更新日期：2021-08-09

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