Reliability-Constrained Optimal Scheduling of Interconnected Microgrids
Received: 18 April 2023 | Revised: 7 May 2023 | Accepted: 10 May 2023 | Online: 2 June 2023
Corresponding author: Abdullah Albaker
Abstract
This paper proposes a Mixed-Integer Linear Programming (MILP) optimization model for the scheduling problem of the interconnected microgrid system. The proposed model is capable of efficiently minimizing the microgrids' total operating costs and improving the entire system's reliability, as it is constrained based on enhancing the interconnected microgrids' reliability. The Expected Energy Not Supplied (EENS) is considered in order to ensure minimizing the interconnected microgrids' power deficiency. Furthermore, the proposed model has the capability to solve the optimization problem considering the islanded operation of the interconnected microgrids, i.e. when disturbances occur on the upstream grid. Numerical simulations on a test system containing three interconnected microgrids are performed to evaluate the effectiveness of the model and the results demonstrate the merits and features of the reliability-constrained optimal scheduling model in minimizing the interconnected microgrids' total operating costs and enhancing the interconnected system reliability.
Keywords:
interconnected microgrids, islanded operation, optimization, optimal scheduling, distributed energy resources, Expected Energy Not Supplied (EENS)Downloads
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