Journal of Modern Power Systems and Clean Energy

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Home > Archive>Volume 10, Issue 4, 2022 >1009-1020. DOI:10.35833/MPCE.2020.000639
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Optimization for Micro-energy Grid Dispatch Based on Non-supplementary Fired Compressed Air Energy Storage Aided Energy Hub and Hybrid Hyper-spherical Search
Author:
Affiliation:

1.Beijing Jiaotong University, Beijing, China;2.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China, and she is also with Beijing Goldwind Science & Creation Wind Power Equipment Co., Ltd., Beijing, China

Fund Project:

This work was supported by the Fundamental Research Funds for the Central Universities (No. 2019JBM004), the National Natural Science Foundation of China (No. 51977004), and the Beijing Natural Science Foundation (No. 4212042).

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    Abstract:

    Micro-energy grids have shown superiorities over traditional electricity and heating management systems. This paper presents a hybrid optimization strategy for micro-energy grid dispatch with three salient features. First, to enhance the ability to support new storage equipment, an energy hub model is proposed using the non-supplementary fired compressed air energy storage (NSF-CAES). This provides flexible dispatch for cooling, heating and electricity. Second, considering the unique characteristics of the NSF-CAES, a sliding time window (STW) method is designed for simple but effective energy dispatch. Third, for the optimization of energy dispatch, we blend the differential evolution (DE) with the hyper-spherical search (HSS) to formulate a hybrid DE-HSS algorithm, which enhances the global search ability and accuracy. Comparative case studies are performed using real data of scenarios to demonstrate the superiorities of the proposed scheme.

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History
  • Received:August 27,2020
  • Revised:January 26,2021
  • Online: July 15,2022

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