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Distribution Network Reconfiguration based on LMP at DG connected busses using game theory and self-adaptive FWA

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  • Azad-Farsani, Ehsan
  • Sardou, Iman Goroohi
  • Abedini, Saeed

Abstract

Distribution Company (DISCO) uses some price-based policies to maximize the profit of Distributed Generation (DG) owners and minimize the power loss of the network. Meanwhile, loss of the network is minimized by Distribution Network Reconfiguration (DNR). In this paper, a hybrid market-based DNR methodology is proposed to concurrently obtain both the optimal configuration of the network, and Locational Marginal Prices (LMPs) at DG connected busses. Firework Algorithm (FWA) is coupled with an Iterative Game-Based algorithm (IGBA) to procure the optimal configuration of the network with the objective of power loss minimization. In the hybrid methodology, through the search process of FWA in finding the optimal configuration, the IGBA is run for each candidate configuration. Using the IGBA, the LMPs of DG units is calculated based on their share of loss reduction which is determined by the game theory. Also, in the FW algorithm, improper selection of coefficients leads to inefficiency of the algorithm. Therefore, a self-adaptive framework is proposed to specify the value of coefficients during the evolution of algorithm. The effectiveness of the proposed methodology is evaluated using a practical system.

Suggested Citation

  • Azad-Farsani, Ehsan & Sardou, Iman Goroohi & Abedini, Saeed, 2021. "Distribution Network Reconfiguration based on LMP at DG connected busses using game theory and self-adaptive FWA," Energy, Elsevier, vol. 215(PB).
    • Handle: RePEc:eee:energy:v:215:y:2021:i:pb:s0360544220322532
    DOI: 10.1016/j.energy.2020.119146
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    References listed on IDEAS

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    1. Sedighizadeh, Mostafa & Esmaili, Masoud & Esmaeili, Mobin, 2014. "Application of the hybrid Big Bang-Big Crunch algorithm to optimal reconfiguration and distributed generation power allocation in distribution systems," Energy, Elsevier, vol. 76(C), pages 920-930.
    2. 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.
    3. Azad-Farsani, Ehsan & Agah, S.M.M. & Askarian-Abyaneh, Hossein & Abedi, Mehrdad & Hosseinian, S.H., 2016. "Stochastic LMP (Locational marginal price) calculation method in distribution systems to minimize loss and emission based on Shapley value and two-point estimate method," Energy, Elsevier, vol. 107(C), pages 396-408.
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    Cited by:

    1. Wang, Hong-Jiang & Pan, Jeng-Shyang & Nguyen, Trong-The & Weng, Shaowei, 2022. "Distribution network reconfiguration with distributed generation based on parallel slime mould algorithm," Energy, Elsevier, vol. 244(PB).

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