| 引用本文: | 徐业琰,彭思成,廖清芬,杨铮,刘涤尘,邹宏亮,李进昌.考虑用户互补聚合响应与热能传输延时的综合能源园区运营商两阶段短期优化调度[J].电力自动化设备,2017,37(6): |
| XU Yeyan,PENG Sicheng,LIAO Qingfen,YANG Zheng,LIU Dichen,ZOU Hongliang,LI Jinchang.Two-stage short-term optimal dispatch of MEP considering CAUR and HTTD[J].Electric Power Automation Equipment,2017,37(6): |
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| 摘要: |
| 发展冷/热/电/气协同的综合能源系统是提高能源利用效率和新能源就地消纳率的有效手段，综合能源园区是综合能源系统的典型代表，研究其调度策略具有重要意义。建立了综合能源园区系统供给侧、需求侧和传输侧的模型：在需求侧，通过分析用户内部能量耦合关系提出了一种不影响用户舒适度的用户互补聚合响应策略；在传输侧，建立了环形热网的传输延时模型，以提高园区运营商收益和风电就地消纳率为目标，利用用户互补聚合响应与热能传输延时优势互补，提出了一种两阶段短期优化调度策略。对所提策略在6节点电网和5节点热网耦合系统算例中进行了多场景仿真分析，结果表明：考虑热能传输延时能够实现供需两侧高效配合并在日内调度中更充分地发挥用户互补聚合响应作用；日前优化调度和日内优化调度策略相配合的两阶段优化调度策略可同时提高运营商收益和风电消纳能力。 |
| 关键词: 综合能源系统 综合能源园区 优化调度 用户互补聚合响应 传输延时 虚拟储能 两阶段优化 |
| DOI：10.16081/j.issn.1006-6047.2017.06.021 |
| 分类号:TM734 |
| 基金项目:国家重点研发计划项目(2015BAA01B01)；国家电网公司科技项目(JHJS1600074) |
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| Two-stage short-term optimal dispatch of MEP considering CAUR and HTTD |
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XU Yeyan1, PENG Sicheng1, LIAO Qingfen1, YANG Zheng1, LIU Dichen1, ZOU Hongliang1,2, LI Jinchang1
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1.School of Electrical Engineering, Wuhan University, Wuhan 430072, China;2.State Grid Zhejiang Electric Power Company Taizhou Power Supply Company, Taizhou 318000, China
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| Abstract: |
| IES(Integrated Energy System) integrating cooling, heating, electric and gas energies is an effective means to enhance the efficiency of energy utilization and the local accommodation of renewable energy sources. MEP(Multi-Energy Park) is of typical IES and its dispatch strategy is worth researching. Models are established for the supply side, demand side and transmission side of MEP. At the demand side, a strategy of CAUR(Complementarily-Aggregative User Response) without influencing user’s comfort degree is proposed based on the analysis of the internal relationship of energy coupling among users. At the transmission side, a HTTD(Heat Transmission Time-Delay) model of annular heat network is developed to improve the benefit of MEP operator and enhance the local accommodation of wind power, for which, a two-stage short-term optimal dispatch strategy is proposed to complementarily take the advantages of CAUR and HTTD. A multi-scenario simulative analysis is conducted for an MEP of 6-node electric network and 5-node thermal network, and results show that, with the consideration of HTTD, the cooperation between supply and demand sides is more effective and the performance of CAUR in the intra-day dispatch more outstanding; the two-stage optimal dispatch strategy combining day-ahead and intra-day optimal dispatch strategies can increase the benefit of MEP operator and enhance the local accommodation of wind power. |
| Key words: IES MEP optimal dispatch CAUR transmission time-delay virtual energy storage two-stage optimization |
