Optimized Power Scheduling in Microgrids Under Load Uncertainty

Lakhina, U. and Badruddin, N. and Jangra, A. and Bao Huy, T.H. and Guerrero, J.M. (2023) Optimized Power Scheduling in Microgrids Under Load Uncertainty. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Microgrid is a controllable system that supplies power generated from some distributed units operating in an islanded or grid-connected mode to a community load. Renewable energy sources are beneficial to microgrids for clean energy generation. This paper proposes a memory-based multi-verse optimization (MMVO) algorithm for optimal power scheduling in microgrids among various generation units under load uncertainty. The random nature of the uncertain load is modeled using stochastic programming, and the improved algorithm is tested on two different scale microgrids, i.e., IEEE 37 -node and IEEE 141-node test systems. The simulation results demonstrate that the proposed algorithm minimizes the energy production cost under uncertain load demand. © 2023 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 0; Conference of 5th International Conference on Energy, Power, and Environment, ICEPE 2023 ; Conference Date: 15 June 2023 Through 17 June 2023; Conference Code:191493
Uncontrolled Keywords: Electric power system control; Renewable energy resources; Smart power grids; Stochastic programming; Stochastic systems, Controllable systems; Grid-connected modes; Load uncertainty; Load uncertainty microgrid; Microgrid; Optimisations; Power; Power Scheduling; Renewable energy source; Under loads, Distributed power generation
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 04 Jun 2024 14:11
Last Modified: 04 Jun 2024 14:11
URI: https://khub.utp.edu.my/scholars/id/eprint/19161

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