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Regional Integrated Energy Site Layout Optimization Based on Improved Artificial Immune Algorithm

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  • Yan Xu

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University (Baoding), Baoding 071003, China)

  • Jianhao Zhang

    (State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University (Baoding), Baoding 071003, China)

Abstract

Regional integrated energy site layout optimization involves multi-energy coupling, multi-data processing and multi-objective decision making, among other things. It is essentially a kind of non-convex multi-objective nonlinear programming problem, which is very difficult to solve by traditional methods. This paper proposes a decentralized optimization and comprehensive decision-making planning strategy and preprocesses the data information, so as to reduce the difficulty of solving the problem and improve operational efficiency. Three objective functions, namely the number of energy stations to be built, the coverage rate and the transmission load capacity of pipeline network, are constructed, normalized by linear weighting method, and solved by the improved p -median model to obtain the optimal value of comprehensive benefits. The artificial immune algorithm was improved from the three aspects of the initial population screening mechanism, population updating and bidirectional crossover-mutation, and its performance was preliminarily verified by test function. Finally, an improved artificial immune algorithm is used to solve and optimize the regional integrated energy site layout model. The results show that the strategies, models and methods presented in this paper are feasible and can meet the interest needs and planning objectives of different decision-makers.

Suggested Citation

  • Yan Xu & Jianhao Zhang, 2020. "Regional Integrated Energy Site Layout Optimization Based on Improved Artificial Immune Algorithm," Energies, MDPI, vol. 13(17), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4381-:d:403709
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    References listed on IDEAS

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    1. Liu, Liu & Wang, Dan & Hou, Kai & Jia, Hong-jie & Li, Si-yuan, 2020. "Region model and application of regional integrated energy system security analysis," Applied Energy, Elsevier, vol. 260(C).
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    Cited by:

    1. Zongfeng Zou & Weihao Yang & Shirley Ye Sheng & Xin Yan, 2024. "Research on the Location Selection Problem of Electric Bicycle Battery Exchange Cabinets Based on an Improved Immune Algorithm," Sustainability, MDPI, vol. 16(19), pages 1-21, September.
    2. Di Xu & Wenhui Pei & Qi Zhang, 2022. "Optimal Planning of Electric Vehicle Charging Stations Considering User Satisfaction and Charging Convenience," Energies, MDPI, vol. 15(14), pages 1-16, July.

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