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Optimal microgrid operation scheduling by a novel hybrid multi-objective and multi-attribute decision-making framework

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  • Karimi, Hamid
  • Jadid, Shahram

Abstract

Nowadays, one of the innovative solutions to supply the load with an acceptable level of security and affordability is microgrid development. In this context, this paper develops an operational model for a grid-connected microgrid with various generation resources (Photovoltaic (PV), Wind Turbine (WT), and Diesel Generator (D rovided by the storage units. To solve the proposed model, a set of Pareto solutions is obtained first by using the weighted sum approach. Then, by exerting the paired comparison matrix and ELECTRE method, best operation status is achieved based on the operator preferences. This model can be easily employed for each system. The optimization problem is solved by GAMS software, and simulation results show the efficiency of the proposed model in terms of offering flexibility to the operator so as to obtain various objectives considering diverse network situations.

Suggested Citation

  • Karimi, Hamid & Jadid, Shahram, 2019. "Optimal microgrid operation scheduling by a novel hybrid multi-objective and multi-attribute decision-making framework," Energy, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:energy:v:186:y:2019:i:c:s0360544219315907
    DOI: 10.1016/j.energy.2019.115912
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    Citations

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    Cited by:

    1. Syed Ali Abbas Kazmi & Usama Ameer Khan & Waleed Ahmad & Muhammad Hassan & Fahim Ahmed Ibupoto & Syed Basit Ali Bukhari & Sajid Ali & M. Mahad Malik & Dong Ryeol Shin, 2021. "Multiple (TEES)-Criteria-Based Sustainable Planning Approach for Mesh-Configured Distribution Mechanisms across Multiple Load Growth Horizons," Energies, MDPI, vol. 14(11), pages 1-44, May.
    2. Karimi, Hamid & Jadid, Shahram, 2020. "Optimal energy management for multi-microgrid considering demand response programs: A stochastic multi-objective framework," Energy, Elsevier, vol. 195(C).
    3. Mehrdad Tahmasebi & Jagadeesh Pasupuleti & Fatemeh Mohamadian & Mohammad Shakeri & Josep M. Guerrero & M. Reyasudin Basir Khan & Muhammad Shahzad Nazir & Amir Safari & Najmeh Bazmohammadi, 2021. "Optimal Operation of Stand-Alone Microgrid Considering Emission Issues and Demand Response Program Using Whale Optimization Algorithm," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    4. Keifa Vamba Konneh & Hasan Masrur & Mohammad Lutfi Othman & Hiroshi Takahashi & Narayanan Krishna & Tomonobu Senjyu, 2021. "Multi-Attribute Decision-Making Approach for a Cost-Effective and Sustainable Energy System Considering Weight Assignment Analysis," Sustainability, MDPI, vol. 13(10), pages 1-22, May.
    5. Chen, Weidong & Wang, Junnan & Yu, Guanyi & Chen, Jiajia & Hu, Yumeng, 2022. "Research on day-ahead transactions between multi-microgrid based on cooperative game model," Applied Energy, Elsevier, vol. 316(C).
    6. Kia, M. & Shafiekhani, M. & Arasteh, H. & Hashemi, S.M. & Shafie-khah, M. & Catalão, J.P.S., 2020. "Short-term operation of microgrids with thermal and electrical loads under different uncertainties using information gap decision theory," Energy, Elsevier, vol. 208(C).
    7. Mukhopadhyay, Bineeta & Das, Debapriya, 2021. "Optimal multi-objective expansion planning of a droop-regulated islanded microgrid," Energy, Elsevier, vol. 218(C).
    8. Tan, Bifei & Chen, Haoyong, 2020. "Multi-objective energy management of multiple microgrids under random electric vehicle charging," Energy, Elsevier, vol. 208(C).

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