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Robust Planning Method for Regional Integrated Energy System Considering Multi-energy Load Uncertainties
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Affiliation:

1. Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China; 2. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China; 3. State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Tsinghua University, Beijing 100084, China

Abstract:

A robust planning method for regional integrated energy system(RIES)is proposed in this paper, in which electric/cooling/heating load uncertainties are considered. Based on energy hub(EH)model, a regional IES planning model including combined cooling, heating and power(CCHP), gas boiler, centralized cooling station is formulated. Several typical daily load curves are obtained by k-means data clustering method based on historical/predicting annual load profile of 8 760 hours. The load uncertainties are described by adaptive upper and lower bounds, thus a robust planning model can be achieved. Furthermore, the model can be equivalently recast as a mixed integer planning model, in which the sub-problem is convex. The case studies demonstrate the effectiveness of the proposed method, as well as the benefits of IES in optimization and coordinations between multi-energy systems.

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Get Citation
[1]SHEN Xinwei, GUO Qinglai, XU Yinliang, et al. Robust Planning Method for Regional Integrated Energy System Considering Multi-energy Load Uncertainties[J]. Automation of Electric Power Systems,2019,43(7):34-41. DOI:10.7500/AEPS20180511003
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History
  • Received:May 11,2018
  • Revised:March 04,2019
  • Adopted:October 26,2018
  • Online: March 06,2019
  • Published: April 10,2019