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A new thief and police algorithm and its application in simultaneous reconfiguration with optimal allocation of capacitor and distributed generation units

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  • Tolabi, H.B.
  • Ara, A. Lashkar
  • Hosseini, R.

Abstract

This work aims to present a new optimization approach named Thief and Police Algorithm (TPA) to solve discrete-continuous optimization problems. The TPA performance was assessed by solving a discrete-continuous optimization problem in distribution networks. The optimization problem in this study was simultaneous reconfiguration with optimal allocation of capacitor, photovoltaic (PV) and Wind Turbine (WT) units. The objectives were considered as minimization of power loss, minimization of operational cost and improvement of voltage stability of the network. The proposed technique was evaluated using the IEEE 33 bus distribution network with eight different scenarios. Their results were compared with each other on different scenarios and with other well-known algorithms such as Symbiotic Organisms Search (SOS), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The results reveals that the TPA outperforms its counterparts in solving the mentioned problem. Also, the performance of the TPA was assessed using the 30 CEC 2017 test functions and the results were compared to the other optimization methods which confirms high capability of the TPA to solve complex optimization problems.

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  • Tolabi, H.B. & Ara, A. Lashkar & Hosseini, R., 2020. "A new thief and police algorithm and its application in simultaneous reconfiguration with optimal allocation of capacitor and distributed generation units," Energy, Elsevier, vol. 203(C).
    • Handle: RePEc:eee:energy:v:203:y:2020:i:c:s0360544220310185
    DOI: 10.1016/j.energy.2020.117911
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    References listed on IDEAS

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    1. Azizivahed, Ali & Narimani, Hossein & Fathi, Mehdi & Naderi, Ehsan & Safarpour, Hamid Reza & Narimani, Mohammad Rasoul, 2018. "Multi-objective dynamic distribution feeder reconfiguration in automated distribution systems," Energy, Elsevier, vol. 147(C), pages 896-914.
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    4. Mohamed Abd-El-Hakeem Mohamed & Ziad M. Ali & Mahrous Ahmed & Saad F. Al-Gahtani, 2021. "Energy Saving Maximization of Balanced and Unbalanced Distribution Power Systems via Network Reconfiguration and Optimum Capacitor Allocation Using a Hybrid Metaheuristic Algorithm," Energies, MDPI, vol. 14(11), pages 1-24, May.
    5. Thangaraj Yuvaraj & Kaliaperumal Rukmani Devabalaji & Natarajan Prabaharan & Hassan Haes Alhelou & Asokkumar Manju & Poushali Pal & Pierluigi Siano, 2021. "Optimal Integration of Capacitor and Distributed Generation in Distribution System Considering Load Variation Using Bat Optimization Algorithm," Energies, MDPI, vol. 14(12), pages 1-24, June.
    6. Lin, Lihua & Shen, Shujian & Liao, Yunlin & Wang, Chuanliang & Shahabi, Laleh, 2022. "Shunt capacitor allocation by considering electric vehicle charging stations and distributed generators based on optimization algorithm," Energy, Elsevier, vol. 239(PE).
    7. Zohaib Hussain Leghari & Mohammad Yusri Hassan & Dalila Mat Said & Laveet Kumar & Mahesh Kumar & Quynh T. Tran & Eleonora Riva Sanseverino, 2023. "Effective Utilization of Distributed Power Sources under Power Mismatch Conditions in Islanded Distribution Networks," Energies, MDPI, vol. 16(6), pages 1-21, March.

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