A Centralized Smart Decision-Making Hierarchical Interactive Architecture for Multiple Home Microgrids in Retail Electricity Market

Masoumeh Javadi, Mousa Marzband, Mudathir Funsho Akorede, Radu Godina, Ameena Saad Al-Sumaiti and Edris Pouresmaeil
Additional contact information
Masoumeh Javadi: Department of Electrical Power Engineering, Guilan Science and Research Branch, Islamic Azad University, Rasht 4147654919, Iran
Mousa Marzband: Faculty of Engineering and Environment, Department of Maths, Physics and Electrical Engineering, Northumbria University Newcastle, Newcastle upon Tyne NE1 8ST, UK
Mudathir Funsho Akorede: Department of Electrical & Electronics Engineering, Faculty of Engineering and Technology, University of Ilorin, P.M.B. 1515 Ilorin, Nigeria
Radu Godina: Centre for Aerospace Science and Technologies—Department of Electromechanical Engineering, University of Beira Interior, 6201-001 Covilhã, Portugal
Ameena Saad Al-Sumaiti: Electrical and Computer Engineering, Khalifa University, Abu Dhabi 127788, UAE
Edris Pouresmaeil: Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland

Energies, 2018, vol. 11, issue 11, 1-22

Abstract: The principal aim of this study is to devise a combined market operator and a distribution network operator structure for multiple home-microgrids (MH-MGs) connected to an upstream grid. Here, there are three distinct types of players with opposite intentions that can participate as a consumer and/or prosumer (as a buyer or seller) in the market. All players that are price makers can compete with each other to obtain much more possible profitability while consumers aim to minimize the market-clearing price. For modeling the interactions among partakers and implementing this comprehensive structure, a multi-objective function problem is solved by using a static, non-cooperative game theory. The propounded structure is a hierarchical bi-level controller, and its accomplishment in the optimal control of MH-MGs with distributed energy resources has been evaluated. The outcome of this algorithm provides the best and most suitable power allocation among different players in the market while satisfying each player’s goals. Furthermore, the amount of profit gained by each player is ascertained. Simulation results demonstrate 169% increase in the total payoff compared to the imperialist competition algorithm. This percentage proves the effectiveness, extensibility and flexibility of the presented approach in encouraging participants to join the market and boost their profits.

Keywords: demand side management; electricity market; game theory; home energy management system; home microgrid; Nikaido-Isoda function (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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