Reliability Evaluation of Electricity-heat Integrated Energy System with Heat Pump

被引:30
|
作者
Zhang, Shenxi [1 ]
Wen, Min [1 ]
Cheng, Haozhong [1 ]
Hu, Xiao [1 ]
Xu, Guodong [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
来源
基金
国家重点研发计划;
关键词
Electricity-heat integrated energy system; heat pump; Monte Carlo simulation; reliability evaluation; security constraints;
D O I
10.17775/CSEEJPES.2018.00320
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Integrated energy system (IES) has the advantages of improving the efficiency of energy utilization and promoting the consumption of renewable energy. It is of great importance to evaluate the reliability of an IES. This paper proposes a novel reliability evaluation method for the electricity-heat IES with heat pump. First, the load-point reliability indices and system-level reliability indices are defined according to the characteristics of electricity-heat IES. Second, the model of maximum output heat power of heat pump at the user-side considering the safety criterion of distribution network is established, and the step-varied repeated power flow method is applied to solve the model. Third, the reliability evaluation procedure of electricity-heat IES with heat pump based on the Monte Carlo simulation is presented. Case studies are carried out on the electricity-heat IES of an industrial park, and the results show that the configuration site, capacity and coefficient of performance of heat pump as well as the security constraints of distribution network can significantly affect the reliability indices.
引用
收藏
页码:425 / 433
页数:9
相关论文
共 50 条
  • [1] Robustness evaluation method and defense strategy of electricity-heat integrated energy system
    Hu, Funian
    Peng, Chenhui
    Chen, Jun
    INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION, 2024, 46
  • [2] Analysis of equivalent energy storage for integrated electricity-heat system
    Yang, Miao
    Ding, Tao
    Chang, Xinyue
    Xue, Yixun
    Ge, Huaichang
    Jia, Wenhao
    Du, Sijun
    Zhang, Hongji
    ENERGY, 2024, 303
  • [3] Optimal Operation for Integrated Electricity-Heat System with Improved Heat Pump and Storage Model to Enhance Local Energy Utilization
    Chen, Yang
    Zhang, Yao
    Wang, Jianxue
    Lu, Zelong
    ENERGIES, 2020, 13 (24)
  • [4] Security and Economic Integration Scheduling of Electricity-Heat Integrated Energy System
    Huang, Kun
    Fu, Ming
    Ding, Xiaohua
    IEEE ACCESS, 2023, 11 : 112236 - 112247
  • [5] Distributed optimization of integrated electricity-heat energy system considering multiple energy hubs
    Cheng E.
    Wei Z.
    Ji W.
    Ye T.
    Chen S.
    Zhou Y.
    Sun G.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2022, 42 (01): : 37 - 44
  • [6] Exploiting Internet Data Centers as Energy Prosumers in Integrated Electricity-Heat System
    Yin, Xunhu
    Ye, Chengjin
    Ding, Yi
    Song, Yonghua
    IEEE TRANSACTIONS ON SMART GRID, 2023, 14 (01) : 167 - 182
  • [7] Risk dispatching of electricity-heat integrated energy system considering unimodal distribution
    Liu T.
    Pan W.
    Liu M.
    Zhu Z.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2023, 43 (08): : 17 - 24
  • [8] An efficient analytical approach for operational reliability evaluation of integrated electricity-heat energy systems with variable wind power
    He, Haojie
    Shao, Changzheng
    Hu, Bo
    Xie, Kaigui
    Du, Xiong
    Xu, Longxun
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2023, 17 (14) : 3198 - 3210
  • [9] Optimal Dispatch Model of Electricity-heat Integrated Energy System Considering Reserved Benefits of Heat Storage
    Li J.
    Li X.
    Zhang N.
    Zhang Y.
    Lü Q.
    Dianwang Jishu/Power System Technology, 2021, 45 (10): : 3851 - 3858
  • [10] Energy Management Strategy of Integrated Electricity-Heat Energy System Based on Federated Reinforcement Learning
    Wang J.
    Wang Q.
    Ren Z.
    Sun X.
    Sun Y.
    Zhao Y.
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2024, 58 (06): : 904 - 915