Incentive Based Load Shedding Management in a Microgrid Using Combinatorial Auction with IoT Infrastructure

Zaidi, Bizzat Hussain and Ullah, Ihsan and Alam, Musharraf and Adebisi, Bamidele and Azad, R. Muhammad Atif and Ansari, Ali R. and Nawaz, Raheel (2021) Incentive Based Load Shedding Management in a Microgrid Using Combinatorial Auction with IoT Infrastructure. Sensors, 21 (6). ISSN 1424-8220

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Abstract

This paper presents a novel incentive-based load shedding management scheme within a microgrid environment equipped with the required IoT infrastructure. The proposed mechanism works on the principles of reverse combinatorial auction. We consider a region of multiple consumers who are willing to curtail their load in the peak hours in order to gain some incentives later. Using the properties of combinatorial auctions, the participants can bid in packages or combinations in order to maximize their and overall social welfare of the system. The winner determination problem of the proposed combinatorial auction, determined using particle swarm optimization algorithm and hybrid genetic algorithm, is also presented in this paper. The performance evaluation and stability test of the proposed scheme are simulated using MATLAB and presented in this paper. The results indicate that combinatorial auctions are an excellent choice for load shedding management where a 11 maximum of 50 users participate.

Item Type:	Article
Identification Number:	10.3390/s21061935
Dates:	Date Event 26 February 2021 Accepted 10 March 2021 Published Online
Uncontrolled Keywords:	combinatorial auction; energy efficiency; evolutionary algorithms; load shedding; microgrid; smart grid; IoT
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science CAH11 - computing > CAH11-01 - computing > CAH11-01-05 - artificial intelligence
Divisions:	Faculty of Computing, Engineering and the Built Environment > College of Computing
Depositing User:	Atif Azad
Date Deposited:	02 Mar 2021 09:25
Last Modified:	12 Jan 2022 12:58
URI:	https://www.open-access.bcu.ac.uk/id/eprint/11167

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