Game-Theoretic Sectoral Demand Response Procurement in Multi-Energy Microgrid Planning

Publication Type:
Conference Proceeding
2022 IEEE Power & Energy Society General Meeting (PESGM), 2022, 2022-July, pp. 01-05
Issue Date:
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Multi energy community microgrids MGs have been recognized as key enablers for harnessing distributed demand side flexibility resources especially when integrating storage However the literature on demand response integrated community energy system design and dispatch optimization has thus far failed to concurrently maximize the flexibility potential in several energy carriers thereby neglecting the potentially significant improvement opportunities of the associated business cases In response this paper introduces a novel Nash bargaining based cooperative game approach for the optimal aggregator mediated demand response scheduling of multi energy community MGs serving electricity and thermal loads as well as hydrogen as a transportation fuel More specifically the proposed approach systematically and effectively characterizes how the players share the resulting surplus from demand side management in an equitable manner under the assumption that the interests of the players the MG operator sectoral demand response aggregators and small scale end users are neither completely opposed nor completely coincident The proposed approach is then integrated into a meta heuristic based long term MG planning method A case study for a community based residential users aggregation scheme in Aotearoa New Zealand demonstrates the effectiveness of the method in reducing the total discounted system cost of a multi energy MG by 14 equating to US 1 9m and 31 US 5 4m respectively compared to the cases where i the actors behaviors are characterized using non cooperative game theory under self interestedness assumptions and ii no demand response programs are implemented
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