Heterogeneous-agent coordinated secure and contribution-aware equilibrium strategy for integrated electricity-gas system: A fully decentralized approach
Chaoxian Lv , Kang Peng , Qin He , Yuanyuan Chai , Kaiping Qu , Rui Liang
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引用次数: 0
Abstract
The individual voltage level and pressure stability for independent power distribution systems (PDSs) and natural gas systems (NGSs) are crucial for the secure and cost-effective operation of integrated electricity-gas systems (IEGSs). However, the interest coordination of different stakeholders with privacy preservation is challenging. Therefore, the heterogeneous-agent coordinated secure and contribution-aware equilibrium strategy for IEGS with a fully decentralized approach is proposed. The flexible operation of PDS, NGS, and community-integrated energy stations (CIESs) enables bidirectional power interaction between PDS and NGS, enhancing the security of IEGS. This interaction is optimized by integrating diverse demand responses, including interruptible, transferrable, and replaceable loads, to ensure more effective power exchanges. A contribution-aware asymmetric Nash bargaining method is proposed for revenue allocation, determined by the stakeholder contribution degrees calculated through a nonlinear energy sharing mapping method. Additionally, the study employs the adaptive alternating direction method of multipliers (ADMM) to resolve the coordinated secure operation challenges and contribution-aware equilibrium issues among heterogeneous agents, thereby achieving full decentralization of stakeholder collaboration with ensured privacy and operational independence. A numerical study on a modified IEEE 33-bus PDS and 9-node NGS, connecting 2 CIESs, proves the strategy’s efficacy. The proposed strategy boosts voltage by 60.96 % and pressure by 93.33 %. The profit rates of cost for PDS, NGS, CIES1, and CIES2 surge to 198.69 %, 112.55 %, 26.44 %, and 25.78 %.
期刊介绍:
Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.