引用本文:周亦洲,戈婧宇,程恩林,臧海祥,孙国强,陈胜,卫志农.考虑不确定性和楼宇储热的区域综合能源系统分布式优化调度[J].电力自动化设备,2023,43(11):26-33
ZHOU Yizhou,GE Jingyu,CHENG Enlin,ZANG Haixiang,SUN Guoqiang,CHEN Sheng,WEI Zhinong.Distributed optimal scheduling of regional integrated energy systems considering uncertainty and building heat storage[J].Electric Power Automation Equipment,2023,43(11):26-33
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考虑不确定性和楼宇储热的区域综合能源系统分布式优化调度
周亦洲1, 戈婧宇1, 程恩林2, 臧海祥1, 孙国强1, 陈胜1, 卫志农1
1.河海大学 能源与电气学院,江苏 南京 211100;2.国网河南省电力公司焦作供电公司,河南 焦作 454150
摘要:
为了充分发挥多个区域综合能源系统(RIES)能量互补的优势,有效降低新能源随机波动对系统安全稳定运行的影响,基于条件风险价值(CVaR)理论,提出了一种考虑楼宇储热的RIES分布式优化调度方法。根据楼宇的热动态特性,建立楼宇等效虚拟热储能模型以及RIES优化调度模型;引入CVaR理论处理新能源出力的不确定性,实现系统运行成本和风险水平的权衡;建立RIES能量共享模型,并采用自适应步长交替方向乘子法实现模型的分布式求解;根据各RIES的交互贡献度,对RIES能量共享的收益进行分配。算例测试结果表明,所提方法能有效降低各RIES的运行成本,并在兼顾鲁棒性与经济性的同时实现RIES利润的公平合理分配。
关键词:  区域综合能源系统  分布式优化  虚拟热储能  条件风险价值  交替方向乘子法  不确定性
DOI:10.16081/j.epae.202307022
分类号:TM734
基金项目:国家自然科学基金资助项目(52107085);江苏省自然科学基金资助项目(BK20210367);中央高校基本科研业务费专项资金资助项目(B210201051)
Distributed optimal scheduling of regional integrated energy systems considering uncertainty and building heat storage
ZHOU Yizhou1, GE Jingyu1, CHENG Enlin2, ZANG Haixiang1, SUN Guoqiang1, CHEN Sheng1, WEI Zhinong1
1.College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;2.Jiaozuo Power Supply Company of State Grid Henan Electric Power Company, Jiaozuo 454150, China
Abstract:
In order to give full play to the energy complementarity advantages of multiple regional integrated energy systems(RIESs) and effectively reduce the impact of random fluctuations of new energy sources on the safe and stable operation of the system, based on the conditional value at risk(CVaR) theory, a distributed optimal scheduling method of RIESs considering building heat storage is proposed. According to the thermal dynamic characteristics of buildings, the equivalent virtual heat storage model of buildings and the optimal scheduling model of RIESs are established. The CVaR theory is introduced to deal with the uncertainty of new energy output and realize the balance between system operation cost and risk level. The energy sharing model of RIESs is established, and the adaptive alternating direction method of multipliers(ADMM) is used to achieve distributed solution of the model. According to the interactive contribution degree of each RIES, the energy sharing benefits of RIESs are allocated. The test results show that the proposed method can effectively reduce the operation cost of each RIES, and realize the fair and reasonable allocation of RIES profits while taking into account the robustness and economy.
Key words:  regional integrated energy system  distributed optimization  virtual heat storage  conditional value at risk  ADMM  uncertainty

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