| 引用本文: | 郑杰凯,何山,韩璐,胡兵,袁嘉旺,樊小朝,徐立军.计及混合博弈配电网与氢能系统的多综合能源服务商优化调度[J].电力自动化设备,2025,45(1):67-75 |
| ZHENG Jiekai,HE Shan,HAN Lu,HU Bing,YUAN Jiawang,FAN Xiaochao,XU Lijun.Optimal scheduling of multi-integrated energy service provider considering hybrid game-based distribution network and hydrogen energy system[J].Electric Power Automation Equipment,2025,45(1):67-75 |
|
| 本文已被：浏览 7424次 下载 1109次 |
码上扫一扫！ |
|
|
| 计及混合博弈配电网与氢能系统的多综合能源服务商优化调度 |
|
郑杰凯1, 何山1,2, 韩璐1,2, 胡兵1,3, 袁嘉旺1, 樊小朝3, 徐立军3
|
|
1.新疆大学 可再生能源发电与并网技术自治区重点实验室，新疆 乌鲁木齐 830046;2.新疆大学 可再生能源发电与并网控制教育部工程研究中心，新疆 乌鲁木齐 830046;3.新疆工程学院 能源工程学院，新疆 乌鲁木齐 830017
|
|
| 摘要: |
| 针对多个综合能源服务商(IESP)协同运行中的能源交易问题，在考虑系统内风光不确定性问题的前提下，通过配电网运营商(DSO)制定电价，并协调IESP联盟的购、售电计划以及IESP成员之间的能源交互计划。以典型风光场景的历史出力数据为基础，以综合范数为约束条件，提出基于数据驱动的IESP联盟分布鲁棒优化调度模型。构建以DSO为上层领导者、IESP联盟为下层跟随者的主从博弈模型以及以下层IESP联盟为主的合作博弈模型；在下层IESP联盟中建立氢能系统模型，并考虑需求响应与碳交易机制；基于纳什谈判理论将合作博弈模型分解为联盟成本最小化问题与支付效益最大化问题。结合二分法、列与约束生成算法、交替方向乘子法对模型进行求解。算例结果表明：相较于传统的主从博弈模型，所提混合博弈模型能够实现IESP联盟的联合运行成本最小化，所建氢能系统能有效地减少碳排放，具有良好的经济效益；IESP联盟基于各成员的贡献大小实现了合作收益的公平分配。 |
| 关键词: 综合能源服务商 需求响应 混合博弈 分布鲁棒优化 氢能系统 配电网 优化调度 |
| DOI：10.16081/j.epae.202409002 |
| 分类号:TM73;TK01 |
| 基金项目:国家重点研发计划项目(2021YFB1506902)；国家自然科学基金资助项目(52266018)；新疆维吾尔自治区重点实验室开放课题资助项目(2023D04029)；新疆维吾尔自治区重点研发项目(2022B01003-3) |
|
| Optimal scheduling of multi-integrated energy service provider considering hybrid game-based distribution network and hydrogen energy system |
|
ZHENG Jiekai1, HE Shan1,2, HAN Lu1,2, HU Bing1,3, YUAN Jiawang1, FAN Xiaochao3, XU Lijun3
|
|
1.Autonomous Region Key Laboratory of Renewable Energy Power Generation and Grid Connected Technology, Xinjiang University, Urumqi 830046, China;2.Engineering Research Center of Ministry of Education for Renewable Energy Power Generation and Grid Connection Control, Xinjiang University, Urumqi 830046, China;3.School of Energy Engineering, Xinjiang Institute of Engineering, Urumqi 830017, China
|
| Abstract: |
| In order to solve the energy trading problem in the cooperative operation of multi-integrated energy service provider(IESP),under the premise of considering the uncertainties of the system, the electricity price is set by the distribution system operator(DSO),and the power purchase and sale plan of the IESP alliance and the energy interaction plan among the IESP members are coordinated. Based on the historical output data of typical wind and photovoltaic scenes and taking the comprehensive norm as constraint, a data-driven distributionally robust optimization scheduling model of IESP alliance is proposed. A master-slave game mo-del is constructed with DSO as the upper leader and IESP alliance as the lower follower, and a cooperative game model with the lower IESP alliance as the main player is also produced. In the lower IESP alliance, the hydrogen energy system model is established, and the demand response and carbon trading mechanism are considered. Based on Nash negotiation theory, the cooperative game model is divided into alliance cost minimization problem and payment benefit maximization problem. The model is solved by the combination of bisection method, column and constraint generation algorithm and alternating direction method of multi-pliers. The simulative results show that compared with the traditional master-slave game model, the proposed hybrid game model can minimize the joint operation cost of the IESP alliance, and the hydrogen energy system can effectively reduce carbon emission and has good economic benefit. The IESP alliance achieves a fair distribution of the cooperation benefits based on the contribution of each member. |
| Key words: integrated energy service provider demand response hybrid game distributionally robust optimization hydrogen energy system distribution network optimal scheduling |
