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计及P2H的电-热互联综合能源系统概率能量流分析
引用本文:孙娟,卫志农,孙国强,陈胜,臧海祥,陈霜.计及P2H的电-热互联综合能源系统概率能量流分析[J].电力自动化设备,2017,37(6).
作者姓名:孙娟  卫志农  孙国强  陈胜  臧海祥  陈霜
作者单位:河海大学 能源与电气学院,江苏 南京 211100,河海大学 能源与电气学院,江苏 南京 211100,河海大学 能源与电气学院,江苏 南京 211100,河海大学 能源与电气学院,江苏 南京 211100,河海大学 能源与电气学院,江苏 南京 211100,河海大学 能源与电气学院,江苏 南京 211100
基金项目:国家自然科学基金资助项目(51277052);中国博士后科学基金资助项目(2015M571653)
摘    要:电转热(P2H)技术可以平抑分布式可再生能源发电功率波动,促进光伏发电的消纳与电-热互联综合能源系统的协同运行。建立了含光伏的电-热互联综合能源系统概率能量流模型,采用Nataf变换对相关非正态的光伏输入随机变量进行抽样,并与拉丁超立方采样相结合,定量评估P2H对电力系统和热力系统概率能量流的影响。实际巴厘岛的算例分析结果验证了所建立模型的有效性。在含光伏的电-热互联综合能源系统中,P2H可促进分布式可再生光伏的消纳,并有效增强系统的安全性。

关 键 词:电-热互联综合能源系统  电转热技术  概率能量流  光伏发电  拉丁超立方采样

Analysis of probabilistic energy flow for integrated electricity-heat energy system with P2H
SUN Juan,WEI Zhinong,SUN Guoqiang,CHEN Sheng,ZANG Haixiang and CHEN Shuang.Analysis of probabilistic energy flow for integrated electricity-heat energy system with P2H[J].Electric Power Automation Equipment,2017,37(6).
Authors:SUN Juan  WEI Zhinong  SUN Guoqiang  CHEN Sheng  ZANG Haixiang and CHEN Shuang
Affiliation:College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China,College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China,College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China,College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China,College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China and College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Abstract:P2H(Power-to-Heat) technology can be used to suppress the power generation fluctuation of distributed renewable energies and to promote the accommodation of PV(PhotoVoltaic) power and the syner-gistic operation with integrated electricity-heat energy system. A probabilistic energy flow model of integrated electricity-heat systems with PV is established and Nataf transformation is adopted to sample the correlated non-normal random variables of PV inputs, which is then combined with LHS(Latin Hypercube Sampling) to quantitatively assess the impact of P2H on the probabilistic energy flows of electrical and thermal systems. The effectiveness of the established model is verified by the analytic results of Barry Island case. The P2H technology in the integrated electricity-heat energy system promotes the accommodation of PV and enhances the system safety.
Keywords:integrated electricity-heat energy system  P2H technology  probabilistic energy flow  photo-voltaic power generation  Latin hypercube sampling
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