A Noncooperative Game-Based Approach for Microgrid Planning Considering Existing Interconnected and Clustered Microgrids on an Island

This paper proposes a noncooperative game-based planning method for microgrid (MG) considering the interconnection between developing and developed privately-owned clustered MGs on an island. A noncooperative game with imperfect information is designed to regulate the decision-making in planning and operating strategies for rational MG owners. The optimization models for both developing and developed MGs are presented. Different levels of maturity of MG development are modeled by diverse objective functions and constraints, while the data privacy of privately-owned MGs is preserved through imperfect information and prior beliefs. To tackle the seasonality of renewable energy and load on an island, hydrogen storage is considered in the developing MG on the island. Diagonalization and realization are incorporated to develop an effective solving methodology in searching the mixed strategy equilibrium for each MG. The effectiveness of the proposed method is verified using comprehensive case studies.

[1]  K. S. Swarup,et al.  Bayesian Nash Equilibrium in Electricity Spot Markets: An Affine-Plane Approximation Approach , 2022, IEEE Transactions on Control of Network Systems.

[2]  G. Guerassimoff,et al.  An overview of the challenges of solar power integration in isolated industrial microgrids with reliability constraints , 2022, Renewable and Sustainable Energy Reviews.

[3]  Shiyan Hu,et al.  Two-Layer Game Theoretic Microgrid Capacity Optimization Considering Uncertainty of Renewable Energy , 2021, IEEE Systems Journal.

[4]  Jay H. Lee,et al.  Two-stage stochastic programming formulation for optimal design and operation of multi-microgrid system using data-based modeling of renewable energy sources , 2021 .

[5]  Davide Poli,et al.  Multi-year stochastic planning of off-grid microgrids subject to significant load growth uncertainty: overcoming single-year methodologies , 2021 .

[6]  Paul Leahy,et al.  Sizing Battery Energy Storage Systems: Using Multi-Objective Optimization to Overcome the Investment Scale Problem of Annual Worth , 2020, IEEE Transactions on Sustainable Energy.

[7]  A. Capper,et al.  The missing sink - quantification, categorisation and sourcing of beached macro-debris in the Scottish Orkney Islands. , 2020, Marine pollution bulletin.

[8]  Adel Nasiri,et al.  Chance-Constrained Optimization of Energy Storage Capacity for Microgrids , 2020, IEEE Transactions on Smart Grid.

[9]  S. M. Muyeen,et al.  Optimal planning of clustered microgrid using a technique of cooperative game theory , 2020 .

[10]  Zhao Yang Dong,et al.  Multitimescale Coordinated Adaptive Robust Operation for Industrial Multienergy Microgrids With Load Allocation , 2020, IEEE Transactions on Industrial Informatics.

[11]  Wei Gu,et al.  Optimal Planning for Electricity-Hydrogen Integrated Energy System Considering Power to Hydrogen and Heat and Seasonal Storage , 2020, IEEE Transactions on Sustainable Energy.

[12]  Weidong Chen,et al.  The socially optimal energy storage incentives for microgrid: A real option game-theoretic approach. , 2019, The Science of the total environment.

[13]  C. Cañizares,et al.  Power Generation Planning of Galapagos’ Microgrid Considering Electric Vehicles and Induction Stoves , 2019, IEEE Transactions on Sustainable Energy.

[14]  Hong Liu,et al.  Jointly optimizing microgrid configuration and energy consumption scheduling of smart homes , 2019, Swarm Evol. Comput..

[15]  Olivier Deblecker,et al.  Long-Term Planning of Connected Industrial Microgrids: A Game Theoretical Approach Including Daily Peer-to-Microgrid Exchanges , 2019, IEEE Transactions on Smart Grid.

[16]  S. M. Moghaddas-Tafreshi,et al.  A multi-agent system for optimal sizing of a cooperative self-sustainable multi-carrier microgrid , 2018 .

[17]  Wenyuan Li,et al.  Probabilistic Power Flow Analysis of Power Systems Incorporating Tidal Current Generation , 2017, IEEE Transactions on Sustainable Energy.

[18]  Ruzhu Wang,et al.  Life cycle cost and sensitivity analysis of a hydrogen system using low-price electricity in China , 2017 .

[19]  Hao Wang,et al.  Cooperative Planning of Renewable Generations for Interconnected Microgrids , 2016, IEEE Transactions on Smart Grid.

[20]  Sharifah Azwa Shaaya,et al.  Optimal combination of solar, wind, micro-hydro and diesel systems based on actual seasonal load profiles for a resort island in the South China Sea , 2015 .

[21]  Daniel Ralph,et al.  Using EPECs to Model Bilevel Games in Restructured Electricity Markets with Locational Prices , 2007, Oper. Res..

[22]  Hong Hu,et al.  An epistemic analysis of the Harsanyi transformation , 2002, Int. J. Game Theory.

[23]  Hasan Mehrjerdi,et al.  Resilience Improvement With Zero Load Curtailment by Multi-Microgrid Based on System of Systems , 2020, IEEE Access.

[24]  Wenming Yang,et al.  Sustainable energy systems for a remote island community , 2014 .

[25]  K. Vrieze,et al.  A course in game theory , 1992 .