Static Bidding Strategy based on Transactive Energy Concept in Multiple Home Microgrid Systems by Using Non- Cooperative Game Theory Approach

Authors

1 Dep. of Electrical Power Engineering, Guilan Science and Research Branch, Islamic Azad University, Rasht, Iran

2 Dep. of Electrical Power Engineering, Rasht Branch, Islamic Azad University, Rasht, Iran

3 School of the Built Environment, University of Salford, 4th Floor, Maxwell Building Room 712 (THINKlab), Salford M5 4WT, Manchester, United kingdom

4 Dept. of Electrical Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran

Abstract

With the intense exploitation and expansion of distributed uncontrollable energy resources along with increasing demand side participation in modern distribution power systems and networks, the Transactive energy (TE) management framework has emerged as a topic of keen interest, in particular, addressing the concept of maintaining equilibrium state of system between the local power supply and load demand. In this paper, an innovative model is devised within an optimal framework of Transactive energy management based on load responsiveness in multi-functional home Microgrids in an electricity retail market, along with the smart static bidding strategy for the production and consumption resources by using the ability of relaxation algorithm based Nikaido-Isoda functional theory. In the proposed implementation, home Microgrids which consists of variable nature distributed energy resources, energy storage systems and responsive load devices, the transfer of energy with adjacent neighbouring Microgrids and electricity retail companies, with the aim of maximizing profits and sustaining internal load demand, is studied. Furthermore, the consumers would be able to cooperate with each other using the proposed algorithm in order to minimize market clearing price while maximizing their profit by reaching to the Nash equilibrium. Based on this multi-functional method that takes into account the functional objectives of uncertainty parameters related to uncontrollable energy resources, the load demand and electricity price, the amount of delivered power and optimum price of participating players in the market, the overall profit is determined. The simulation results highlights the effectiveness of the proposed algorithm as a global system of practice which can be used to progressively engage players for active participation and simultaneously improving the profits for home-type Microgrids.

Keywords

References

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