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Multi-objective Optimization Configuration of Multi-energy Complementary Park Integrated Energy Supply Center Considering Electric Gas Conversion Planning

  • Ming Chen
  • Huixiang Chen
  • Yajing Gao
  • Shun Ma
  • Chao Han
  • Xiuna Wang
  • Mingrui ZhaoEmail author
Conference paper
  • 97 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 585)

Abstract

This paper comprehensively considers the economic, environmental and reliability impacts of energy supply systems and establishes a two-level multi-objective optimization configuration model for multi-energy complementary park integrated energy systems with multiple energy supply equipment. The upper layer has the minimum annual cost as the objective function; the lower layer has the lowest annual operating cost, the highest annual energy supply reliability and the best DG output characteristics as the objective function. The improved immune genetic algorithm based on fuzzy membership and variance weighting is used to solve the model nested. The conclusion shows that the correctness and validity of the model and algorithm.

Keywords

Multi-energy complementary park distributed energy Electricity-to-gas two-level optimization improved immune genetic algorithm 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Ming Chen
    • 1
  • Huixiang Chen
    • 1
  • Yajing Gao
    • 2
  • Shun Ma
    • 1
  • Chao Han
    • 2
  • Xiuna Wang
    • 2
  • Mingrui Zhao
    • 2
    Email author
  1. 1.Guangdong Power Grid Co., Ltd. Power Grid Planning Research CenterYuexiu District, GuangzhouChina
  2. 2.China Electricity Council Technical and Economic Consulting Centre of Electric Power ConsturctionXicheng District, BeijingChina

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