Planning of the Large-Scale Integrated Energy Systems

  • Qing-Hua WuEmail author
  • Jiehui Zheng
  • Zhaoxia Jing
  • Xiaoxin Zhou
Part of the Energy Systems in Electrical Engineering book series (ESIEE)


This chapter presents the planning problems of the LSIES considering the optimal unit sizing and the multi-stage contingency-constrained co-planning, respectively. First, a comprehensive framework including a multi-objective interval optimization model and evidential reasoning (ER) approach is introduced to solve the unit sizing problem of small-scale integrated energy systems, with uncertain wind and solar energies integrated. In the multi-objective interval optimization model, interval variables are introduced to tackle the uncertainties of the optimization problem. Aiming at simultaneously considering the cost and risk of a business investment, the average and deviation of life cycle cost (LCC) of the integrated energy system are formulated. Second, a multi-stage contingency-constrained co-planning for electricity-gas systems (EGS) interconnected with gas-fired units and power-to-gas (P2G) plants considering the uncertainties of load demand and wind power. The MCC model considers the long-term co-planning for EGS with the short-term operation constraints, while enabling systems to satisfy N-1 reliability criterion. These planning problems are solved utilizing the multi-objective optimization algorithms and decision-making support methods introduced in the previous chapters.


Planning problems Optimal unit sizing Multi-stage contingency-constrained 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Qing-Hua Wu
    • 1
    Email author
  • Jiehui Zheng
    • 1
  • Zhaoxia Jing
    • 2
  • Xiaoxin Zhou
    • 3
  1. 1.School of Electric Power EngineeringSouth China University of TechnologyGuangzhouChina
  2. 2.School of Electric Power EngineeringSouth China University of TechnologyGuangzhouChina
  3. 3.China Electric Power Research InstituteBeijingChina

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