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Planning of the Large-Scale Integrated Energy Systems

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

Abstract

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.

Keywords

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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