Open Access

ARTICLE

Optimal Bidding Strategies of Microgrid with Demand Side Management for Economic Emission Dispatch Incorporating Uncertainty and Outage of Renewable Energy Sources

Mousumi Basu¹, Chitralekha Jena², Baseem Khan^3,4,*, Ahmed Ali⁴

1 Department of Power Engineering, Jadavpur University, Jadavpur, India
2 School of Electrical Engineering, KIIT University, Bhubaneswar, India
3 Department of Electrical and Computer Engineering, Hawassa University, Hawassa, Ethiopia
4 Department of Electrical and Electronic Engineering Technology, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa

* Corresponding Author: Baseem Khan. Email:

Energy Engineering 2024, 121(4), 849-867. https://doi.org/10.32604/ee.2024.043294

Received 06 June 2023; Accepted 28 November 2023; Issue published 26 March 2024

Abstract

In the restructured electricity market, microgrid (MG), with the incorporation of smart grid technologies, distributed energy resources (DERs), a pumped-storage-hydraulic (PSH) unit, and a demand response program (DRP), is a smarter and more reliable electricity provider. DER consists of gas turbines and renewable energy sources such as photovoltaic systems and wind turbines. Better bidding strategies, prepared by MG operators, decrease the electricity cost and emissions from upstream grid and conventional and renewable energy sources (RES). But it is inefficient due to the very high sporadic characteristics of RES and the very high outage rate. To solve these issues, this study suggests non-dominated sorting genetic algorithm II (NSGA-II) for an optimal bidding strategy considering pumped hydroelectric energy storage and DRP based on outage conditions and uncertainties of renewable energy sources. The uncertainty related to solar and wind units is modeled using lognormal and Weibull probability distributions. TOU-based DRP is used, especially considering the time of outages along with the time of peak loads and prices, to enhance the reliability of MG and reduce costs and emissions.

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Keywords

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