付悠然, 李华强. 考虑用户效用评价的园区多能供给服务能量管理及定价策略[J]. 现代电力, 2022, 39(3): 317-326. DOI: 10.19725/j.cnki.1007-2322.2021.0109
引用本文: 付悠然, 李华强. 考虑用户效用评价的园区多能供给服务能量管理及定价策略[J]. 现代电力, 2022, 39(3): 317-326. DOI: 10.19725/j.cnki.1007-2322.2021.0109
FU Youran, LI Huaqiang. Energy Management and Pricing Strategy of Multi-Energy Supply Service Considering User Utility Evaluation[J]. Modern Electric Power, 2022, 39(3): 317-326. DOI: 10.19725/j.cnki.1007-2322.2021.0109
Citation: FU Youran, LI Huaqiang. Energy Management and Pricing Strategy of Multi-Energy Supply Service Considering User Utility Evaluation[J]. Modern Electric Power, 2022, 39(3): 317-326. DOI: 10.19725/j.cnki.1007-2322.2021.0109

考虑用户效用评价的园区多能供给服务能量管理及定价策略

Energy Management and Pricing Strategy of Multi-Energy Supply Service Considering User Utility Evaluation

  • 摘要: 随着我国能源市场的逐步开放,综合能源服务得到广泛关注,而园区多能供给服务是其重要的发展趋势之一。在此背景下,以多能供给服务商管理园区综合能源系统为应用场景、服务商和用户为博弈参与者、服务商净收益和用户综合效用为目标函数, 建立考虑用户效用评价的服务商能量管理及定价策略的主从博弈模型。通过组合赋权法得到用户综合效用函数,构建含电、热、冷、气4类负荷的用户模型,并结合服务商收益优化模型,提出服务商和用户主从博弈定价机制,通过双方的互动博弈, 动态改变双方策略,得到博弈均衡结果。最后通过算例分析证明了所提能量管理及定价策略具有合理性和有效性。

     

    Abstract: With the gradual opening of country’s energy market, comprehensive energy services have received widespread attention, and multi-energy supply services in the community are one of its important development trends. In this context, the multi-energy supply service provider manages the integrated energy system in the community. The service provider and the user are the game participants, and the service provider’s net profit and the user’s comprehensive utility are their respective objective functions to establish energy management and pricing strategy of Multi-energy supply service considering user utility evaluation. Obtain the user’s comprehensive utility function through the combination weighting method, construct the user model, and combine with service provider revenue optimization model. Then, the interaction mechanism of the master-slave game between the service provider and the user is proposed. Through the interactive game between the two parties, the strategies of both parties are dynamically changed, and the game equilibrium result is obtained. Finally, a numerical example analysis proves that the proposed energy management and pricing strategy is reasonable and effective.

     

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