Zonal-Based Optimal Microgrids Identification
Abdullah Albaker,
Mansoor Alturki,
Rabeh Abbassi and
Khalid Alqunun
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Abdullah Albaker: Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 81451, Saudi Arabia
Mansoor Alturki: Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 81451, Saudi Arabia
Rabeh Abbassi: Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 81451, Saudi Arabia
Khalid Alqunun: Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 81451, Saudi Arabia
Energies, 2022, vol. 15, issue 7, 1-15
Abstract:
Even though many studies have been deployed to determine the optimal planning and operation of microgrids, limited research was discussed to determine the optimal microgrids’ geographical boundaries. This paper proposes a zonal-based optimal microgrid identification model aiming at identifying the optimal microgrids topology in the current distribution systems through zoning the network into several clusters. In addition, the proposed model was developed as a mixed-integer linear programming (MILP) problem that identifies the optimal capacity and location of installing distributed energy resources (DERs), including but not limited to renewable energy resources and Battery Energy Storage Systems (BESS), within the determined microgrid’s boundaries. Moreover, it investigates the impact of incorporating the BESS in boosting the DERs’ penetration on the optimal centralized microgrid. Numerical simulations on the IEEE-33 bus test system demonstrate the features and effectiveness of the proposed model on identifying the optimal microgrid geographical boundaries on current distribution grids as well as its capability on defining the optimal sizes and locations of installing DERs within the microgrid’s zonal area.
Keywords: battery energy storage system (BESS); distributed energy resources (DERs); microgrids topology; mixed-integer linear programming; optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:7:p:2446-:d:780279
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