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Many-Objective Evolutionary Optimization Based Economic Dispatch of Integrated Energy System with Multi-microgrid and CHP

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Bio-inspired Computing: Theories and Applications (BIC-TA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1159))

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Abstract

Integrated energy system (IES) containing a variety of heterogeneous energy supplies has been widely focused on energy conversion and power dispatching for effective utilization on energy. However, existing studies are most directed to single micro-grid based IES without considering energy exchange among several micro-grids and the corresponding high-dimensional dispatching models. Motivated by these, we here consider an IES with many micro-grids supplies for combinations of cooling, heating and power (CCHP). The structure of such a system is first presented, and then the corresponding model of many-objective based power dispatching is given in detail. In our model, the operational economy and the environment pollution of each micro-grid are taken as optimized objectives. Then, NSGA-III, a powerful evolutionary algorithm for many-objective optimization is used to solve the dispatching model. The effectiveness of the proposed algorithm is experimentally demonstrated by applying it to a practical problem.

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Author information

Authors and Affiliations

  1. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China

    Jinlei Wang, Xiaoyan Sun, Dunwei Gong & Lin Zhao

  2. School of Economic and Management, North China Electric Power University, Beijing, 102206, China

    Yongli Wang

  3. Qingdao University Information Industry Co., Ltd., Qingdao, 266001, China

    Changhe Du

Authors
  1. Jinlei Wang
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  2. Xiaoyan Sun
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  3. Dunwei Gong
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  4. Lin Zhao
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  5. Yongli Wang
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  6. Changhe Du
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Corresponding author

Correspondence to Xiaoyan Sun .

Editor information

Editors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  2. Zhengzhou University, Zhengzhou, China

    Jing Liang

  3. Zhongyuan University of Technology, Zhengzhou, China

    Boyang Qu

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Wang, J., Sun, X., Gong, D., Zhao, L., Wang, Y., Du, C. (2020). Many-Objective Evolutionary Optimization Based Economic Dispatch of Integrated Energy System with Multi-microgrid and CHP. In: Pan, L., Liang, J., Qu, B. (eds) Bio-inspired Computing: Theories and Applications. BIC-TA 2019. Communications in Computer and Information Science, vol 1159. Springer, Singapore. https://doi.org/10.1007/978-981-15-3425-6_13

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  • DOI: https://doi.org/10.1007/978-981-15-3425-6_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3424-9

  • Online ISBN: 978-981-15-3425-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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