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Exploration of DG Placement Strategy of Microgrids via FMFO Algorithm: Considering Increasing Power Demand and Diverse DG Combinations

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  • Xiancheng Wang

    (Academic Affairs Office, Jiujiang University, Jiujiang 332005, China
    School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan 54150, Korea)

  • Thiruvenkadam Srinivasan

    (Department of Electrical and Electronics Engineering, P.A. College of Engineering and Technology, Pollachi 642003, Tamilnadu, India)

  • Hyuntae Kim

    (School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan 54150, Korea)

  • In-ho Ra

    (School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan 54150, Korea)

Abstract

Distributed energy resource (DER) has been widely deployed, and distributed generation (DG) can complement the distribution system. Favorable DG deployment provides the grid-connected microgrid (MG) with stable voltage and reduces emission and power generation costs. DGs are considered distributed feeders, and MG is required to be operated under the optimal state. Reconfiguration is a practical approach to optimizing resource allocation. The optimal global solution is obtained via optimization algorithms. In this paper, three objectives are defined, namely, minimization of economic cost (ECC), emission cost (EMC), and voltage deviation (VD). Consequently, a fuzzy moth-flame optimization (FMFO) algorithm is proposed to coordinate the interests of multiple objectives. Moreover, the simulation is conducted based on the standard IEEE 33-bus radial distribution system (RDS), under which the impact of deployment of various DG type and quantity on the MG is explored. In particular, diverse DG combinations are tried under the increasing power demand, and a high-stable voltage strategy is proposed to meet the specific demands. The simulation results reveal that: (1) the DG type has a significant impact on ECC and EMC; (2) penetration level of DG shows a positive-like relationship with the MG stability; and (3) the proposed FMFO algorithm exhibits an efficient performance in convergence.

Suggested Citation

  • Xiancheng Wang & Thiruvenkadam Srinivasan & Hyuntae Kim & In-ho Ra, 2020. "Exploration of DG Placement Strategy of Microgrids via FMFO Algorithm: Considering Increasing Power Demand and Diverse DG Combinations," Energies, MDPI, vol. 13(24), pages 1-24, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6568-:d:461359
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    References listed on IDEAS

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