文章摘要
李廷钧,韩肖清,杜欣慧.计及能量互保行为的综合能源园区多时间尺度调度[J].电力系统自动化,2019,43(23):164-172. DOI: 10.7500/AEPS20190516003.
LI Tingjun,HAN Xiaoqing,DU Xinhui.Multi-time Scale Dispatching for Integrated Energy Park Considering Energy Transfer Behavior[J].Automation of Electric Power Systems,2019,43(23):164-172. DOI: 10.7500/AEPS20190516003.
计及能量互保行为的综合能源园区多时间尺度调度
Multi-time Scale Dispatching for Integrated Energy Park Considering Energy Transfer Behavior
DOI:10.7500/AEPS20190516003
关键词: 综合能源园区  用户评价  能量互保行为  多时间尺度调度  电量偏差
KeyWords: integrated energy park  user evaluation  energy transfer behavior  multi-time scale dispatching  power deviation
上网日期:2019-11-07
基金项目:国家自然科学基金资助项目(51807129);国家重点研发计划资助项目(2018YFB0904700);山西省科技重大专项资助项目(20181102028);山西省重点研发计划资助项目(201803D421010)
作者单位E-mail
李廷钧 太原理工大学电气与动力工程学院, 山西省太原市 030024 hanxiaoqing@tyut.edu.cn 
韩肖清 太原理工大学电气与动力工程学院, 山西省太原市 030024  
杜欣慧 太原理工大学电气与动力工程学院, 山西省太原市 030024  
摘要:
      综合能源园区的运行控制应兼顾多方市场主体利益诉求,针对不同类型园区的供能差异化需求,提出计及用户诉求的日前调度与实时调度相结合的综合能源园区多时间尺度优化调度策略。首先,构建包含智能用电管理单元、电—气耦合联供单元、电动汽车(EV)充电单元和用户电—冷用能调度单元的园区基本架构,并分析市场环境下的园区运行方法;其次,在日前调度中建立以运营商利润和用户评价为目标的园区非合作博弈模型,确定园区能价和用能安排;再次,针对日前购电偏差问题,建立考虑不同类型用户用能诉求的含能量互保行为的实时能量偏差应对模型;最后,以14节点配电网和7节点天然气管网组成的微能源网为场景,对所提模型进行仿真验证,证明所提模型的有效性。结果表明,所提多时间尺度优化调度策略能够提升园区多方市场主体经济效益,以及兼顾用户多样化用能需要的可行性。
Abstract:
      The operation control of the integrated energy park(IEP)should take into account the interests of multiple market subjects. According to the demand of energy supply of different types of parks, this paper proposes a multi-time scale optimal scheduling strategy for IEP that combines day-ahead dispatching and real-time dispatching considering user demands. Firstly, the basic framework of IEP is established including intelligent power management unit, power-gas coupling combined supply unit, electric vehicle(EV)charging unit and user power-cold energy dispatching unit, and the operation methods of the park in the market environment are analyzed. Secondly, this paper establishes a non-cooperative game model with the goals of operator profit and user evaluation in the day-ahead dispatching to determine energy prices and energy usage arrangements of IEP. Thirdly, aiming at the problem of forecasting error in day-ahead dispatching, the real-time energy deviation coping model which includes energy transfer behavior and meets different types of energy demands of users is constructed in real-time dispatching. Finally, the micro energy network with a 14-node distribution network and a 7-node natural gas pipeline network is simulated as a scene to verify the effectiveness of the proposed model. The result shows that the multi-time scale optimal scheduling strategy can improve the economic benefits of multi-market participants in the park, as well as the feasibility of considering the diversified energy demands of users.
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