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

Bizzat Hussain Zaidi; Ihsan Ullah; Musharraf Alam; Bamidele Adebisi; Atif Azad; Ali Raza Ansari; Raheel Nawaz

doi:10.3390/s21061935

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

Sensors (Basel). 2021 Mar 10;21(6):1935. doi: 10.3390/s21061935.

Authors

Bizzat Hussain Zaidi¹, Ihsan Ullah², Musharraf Alam³, Bamidele Adebisi⁴, Atif Azad⁵, Ali Raza Ansari⁶, Raheel Nawaz⁷

Affiliations

¹ Department of Electrical Engineering, DHA Suffa University, Karachi 75500, Pakistan.
² Department of Electrical and Computer Engineering, CUI, Abbottabad Campus, Abbottabad 22060, Pakistan.
³ Department of Electronics Engineering, Dawood University of Engineering and Technology, Karachi 74800, Pakistan.
⁴ Department of Engineering, Manchester Metropolitan University, Manchester M15 5JH, UK.
⁵ School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7AP, UK.
⁶ Department of Mathematics and Natural Sciences, Gulf University of Science and Technology, Mishref Campus, Mubarak Al-Abdullah Al-Jaber Block 5, Masjid Al-Aqsa Road, Building 2 7207, Hawally 32093, Kuwait.
⁷ Department of Computing and Mathematics, Manchester Metropolitan University, Manchester M15 5JH, UK.

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 maximum of 50 users participate.

Keywords: IoT; combinatorial auction; energy efficiency; evolutionary algorithms; load shedding; microgrid; smart grid.