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A posteriori multiobjective approach for techno-economic allocation of PV and BES units in a distribution system hosting PHEVs

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  • Sankar, Matta Mani
  • Chatterjee, Kalyan

Abstract

This paper proposes a posteriori multiobjective approach to effectively integrate photovoltaic (PV) units into the distribution network. PV units are inherently non-dispatchable sources due to the intermittent nature of solar irradiance. To address this limitation, battery energy storage (BES) units are employed to support the PV units, thereby transforming them into dispatchable sources. The objective of this study is to optimally allocate dispatchable PV-BES units within a distribution network that accommodates plug-in hybrid electric vehicles (PHEVs). The PHEVs are modelled considering stochastic parameters at three different demand response levels. A multiobjective optimization problem is formulated to address the conflicting technical and economic objectives associated with the allocation of PV-BES units. The multiobjective manta ray foraging optimizer algorithm is utilized for solving the multiobjective optimization problem. Additionally, the technique for order of preference by similarity to ideal solution is used to identify the best trade-off solution, and multiple solutions are presented based on the decision-makers preferences regarding the conflicting objectives under consideration. The proposed approach is validated on 33-bus and 69-bus distribution networks, and extensive case studies are conducted to showcase the advantages of the proposed methodology.

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  • Sankar, Matta Mani & Chatterjee, Kalyan, 2023. "A posteriori multiobjective approach for techno-economic allocation of PV and BES units in a distribution system hosting PHEVs," Applied Energy, Elsevier, vol. 351(C).
    • Handle: RePEc:eee:appene:v:351:y:2023:i:c:s0306261923012151
    DOI: 10.1016/j.apenergy.2023.121851
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    References listed on IDEAS

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    1. Hung, Duong Quoc & Mithulananthan, N. & Bansal, R.C., 2014. "Integration of PV and BES units in commercial distribution systems considering energy loss and voltage stability," Applied Energy, Elsevier, vol. 113(C), pages 1162-1170.
    2. Erfan Babaee Tirkolaee & Zahra Dashtian & Gerhard-Wilhelm Weber & Hana Tomaskova & Mehdi Soltani & Nasim Sadat Mousavi, 2021. "An Integrated Decision-Making Approach for Green Supplier Selection in an Agri-Food Supply Chain: Threshold of Robustness Worthiness," Mathematics, MDPI, vol. 9(11), pages 1-30, June.
    3. Singh, Pushpendra & Meena, Nand K. & Yang, Jin & Vega-Fuentes, Eduardo & Bishnoi, Shree Krishna, 2020. "Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks," Applied Energy, Elsevier, vol. 278(C).
    4. Sachin J. Chede & Bhushan R. Adavadkar & Aditya S. Patil & Harsh K. Chhatriwala & Mohit P. Keswani, 2021. "Material selection for design of powered hand truck using TOPSIS," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 39(2), pages 236-246.
    5. Fathy, Ahmed, 2022. "A novel artificial hummingbird algorithm for integrating renewable based biomass distributed generators in radial distribution systems," Applied Energy, Elsevier, vol. 323(C).
    6. Wang, Y. & Rousis, A. Oulis & Strbac, G., 2022. "Resilience-driven optimal sizing and pre-positioning of mobile energy storage systems in decentralized networked microgrids," Applied Energy, Elsevier, vol. 305(C).
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    1. Mohammed Goda Eisa & Mohammed A. Farahat & Wael Abdelfattah & Mohammed Elsayed Lotfy, 2024. "Multi-Objective Optimal Integration of Distributed Generators into Distribution Networks Incorporated with Plug-In Electric Vehicles Using Walrus Optimization Algorithm," Sustainability, MDPI, vol. 16(22), pages 1-37, November.
    2. He, Jiawei & Mu, Rui & Li, Bin & Li, Ye & Zhou, Bohao & Xie, Zhongrun & Wang, Wenbo, 2024. "Applicability boundary calculation for directional current protection in distribution networks with accessed PV power sources," Applied Energy, Elsevier, vol. 370(C).

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