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Demand response based microgrid's economic dispatch

1College of Electrical Engineering and New Energy (CEENE), China Three Gorges University (CTGU), Yichang, China

2College of Electrical Engineering and Information, Southwest Petroleum University (SWPU), Chengdu, China

3Department of Electrical Engineering, Bayeh Institute, Amchit, Lebanon

Received: 24 Sep 2022; Revised: 16 Apr 2023; Accepted: 20 Jun 2023; Available online: 30 Jun 2023; Published: 15 Jul 2023.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2023 The Author(s). Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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The development of energy management tools for next-generation Distributed Energy Resources (DER) based power plants, such as photovoltaic, energy storage units, and wind, helps power systems be more flexible. Microgrids are entities that coordinate DERs in a persistently more decentralized fashion, hence decreasing the operational burden on the main grid and permitting them to give their full benefits. A new power framework has emerged due to the integration of DERs-based microgrids into the conventional power system. With the rapid advancement of microgrid technology, more emphasis has been placed on maintaining the microgrids' long-term economic feasibility while ensuring security and stability. The objective of this research is to provide a multi-objective economic operation technique for microgrids containing air-conditioning clusters (ACC) taking demand response into account. A dynamic price mechanism is proposed, accurately reflecting the system's actual operational status. For economic dispatch, flexible loads and air conditioners are considered demand response resources. Then, a consumer-profit model and an AC operating cost model are developed, with a set of pragmatic constraints of consumer comfort. The generation model is then designed to reduce the generation cost. Finally, a microgrid simulation platform is developed in MATLAB/Simulink, and a case is designed to evaluate the proposed method's performance. The findings show that consumer profit increases by 69.2% while ACC operational costs decrease by 18.2%. Moreover, generation costs are reduced without sacrificing customer satisfaction.

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Keywords: Air-Conditioning Cluster (ACC); Demand Response (DR); Distributed Generation (DG);Economic Operation; Micro- gas turbine (MGT); Microgrid (MG)
Funding: No Funding Resources associated with this work.

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