中国电力 ›› 2022, Vol. 55 ›› Issue (6): 74-79.DOI: 10.11930/j.issn.1004-9649.202011095

• 电力市场模型研究及应用 • 上一篇    下一篇

园区能源供需价量双层Stackelberg博弈模型

鲁鹏1, 冯春贤1, 武伟鸣1, 王铁强1, 谢丽娟2, 马瑞2   

  1. 1. 国网河北省电力有限公司,河北 石家庄 050021;
    2. 长沙理工大学 电气与信息工程学院,湖南 长沙 410114
  • 收稿日期:2020-11-25 修回日期:2022-04-26 出版日期:2022-06-28 发布日期:2022-06-18
  • 作者简介:鲁鹏(1981—),男,硕士,高级工程师,从事电网安全防护及电力市场管理,E-mail:43891509@qq.com;马瑞(1971—),男,通信作者,博士,教授,从事电力系统运行与分析研究,E-mail:marui818@126.com
  • 基金资助:
    国家自然科学基金资助项目(51977012);国网河北省电力有限公司科技项目(kj2020-061)。

Two-Layer Stackelberg Game Model for Energy Supply and Demand in the Park

LU Peng1, FENG Chunxian1, WU Weiming1, WANG Tieqiang1, XIE Lijuan2, MA Rui2   

  1. 1. State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050021, China;
    2. College of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114, China
  • Received:2020-11-25 Revised:2022-04-26 Online:2022-06-28 Published:2022-06-18
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.51977012) and Science & Technology Project of State Grid Hebei Electric Power Co.,Ltd. (No.kj2020-061)

摘要: 针对园区能源交易中能源商和用户的价量优化问题,提出园区能源供需价量双层Stackelberg博弈模型。上层模型能源商以实现自身利益最大化为目标,考虑多能流率平衡约束和外网交互约束、电转气、储电/热和燃气轮机等源储约束,通过竞争决定能源价格;下层模型考虑用户用能需求响应,以用能成本最小化为目标,考虑负荷需求约束,根据能源商的决策价格,决定用能需求,能源商进一步根据用户用能需求优化能源价格,反复迭代至收敛。算例结果显示所提方法能有效实现双方效益最大化。

关键词: 综合能源系统, P2G技术, Stackelberg博弈, 能源价格

Abstract: Aiming at the optimization of the price and quantity of energy dealers and users in energy trading in the park, this paper proposef a two-layer Stackelberg game model of the price and quantity of energy supply and demand in the park.The upper-level model energy business aimed to maximize its own interests, considered the multi-energy flow rate balance constraints and external grid interaction constraints, power-to-gas, power/heat, gas turbines and other source-storage constraints, at the same time determined energy prices through competition. The lower model considered the user's energy demand response, aimed to minimize the energy cost, considered the load demand constraint, and determines the energy demand according to the decision price of the energy supplier. The energy supplier further optimized the energy price according to the user's energy demand, and iterated until convergence. The results of the example show that it can effectively maximize the benefits of both parties.

Key words: integrated energy system, P2G technology, Stackelberg game, energy price