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Reactive Power Management of Transmission Network Using Evolutionary Techniques

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Abstract

A novel improved differential evolutionary (IDE) algorithm is presented in this paper for optimizing the reactive power management (RPM) problems. The objective function of the RPM issue is considered as the minimization of active power losses. E−The proposed method is used to find the optimal value of control variables including reactive power generation of the generators, transformer tap settings, and reactive power sources. Initially, the power flow analysis approach is employed to detect the optimal position of flexible AC transmission systems (FACTS) devices. The proposed IDE approach is implemented on various IEEE standard test bus (i.e., IEEE−30,− 57, and-118) bus systems at 100%, 110%, and 120% active and reactive loading with FACTS devices to fulfill the desired objectives. The Static Var compensator (SVC) for shunt compensation and Thyristor controlled series compensator (TCSC) for series compensation is used. The outcomes obtained by utilizing the IDE approach are presented and compared to those obtained with some other promising optimization methods like variants of differential algorithm, moth flame optimization (MFO), brainstorm-based optimization (BSO), and particle swarm optimization (PSO). Finally, the statistical analysis and Wilcoxon signed rank test (WSRT) is thoroughly analyzed to demonstrate the firmness and accuracy of the proposed technique.

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Authors and Affiliations

  1. Department of Electrical Engineering, National Institute of Technology, Jamshedpur, India

    Lalit Kumar & Sanjay Kumar

  2. Electrical Engineering Department, AISSMS College of Engineering, Pune, Maharashtra, India

    Manoj Kumar Kar

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  1. Lalit Kumar
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  2. Manoj Kumar Kar
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  3. Sanjay Kumar
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Correspondence to Manoj Kumar Kar.

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Kumar, L., Kar, M.K. & Kumar, S. Reactive Power Management of Transmission Network Using Evolutionary Techniques. J. Electr. Eng. Technol. 18, 123–145 (2023). https://doi.org/10.1007/s42835-022-01185-1

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