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Optimal Allocation Strategy for Comprehensive Control Equipment of Power Quality in Distribution Area
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Mian FU1, Zhihan LIU1, Zhenhao SONG2, Juan ZHOU1, Shaotong DU3
Journal of Power Supply | 2024, 22(2) : 336 - 344
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Journal of Power Supply | 2024, 22(2): 336-344
• Power Quality •
Optimal Allocation Strategy for Comprehensive Control Equipment of Power Quality in Distribution Area
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Mian FU1, Zhihan LIU1, Zhenhao SONG2, Juan ZHOU1, Shaotong DU3
Affiliations
  • 1 School of Electrical and Power Engineering China University of Mining and Technology Xuzhou 221008 China
  • 2 State Grid Shanghai Energy Internet Research Institute Shanghai 201213 China
  • 3 School of Electrical Engineering Henan Polytechnic University Jiaozuo 450001 China
Published: 2024-03-30 doi: 10.13234/j.issn.2095-2805.2024.2.336
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Aimed at the problem that the power quality control equipment in distribution network is lack of collaborative allocation, an optimal allocation strategy for the control equipment of harmonics, reactive power and three-phase imbalance is proposed, which is based on the multi-objective particle swarm optimization (MOPSO) algorithm. The active power filter (APF) is used to suppress harmonics, the intelligent capacitor is used to compensate reactive power, and the phase-change switch is used to reduce three-phase imbalance. The control effect and operating cost about each power quality issue are taken as optimization objects, and the relevant power quality standards are considered as constraints. Through the MOPSO algorithm, an optimal allocation scheme for the allocation nodes and relevant access capacity of control equipment can be obtained. Furthermore, a power quality assessment model is built, and a simulation model based on an improved IEEE 18-node distribution system is also constructed. The harmonics, reactive power and three-phase imbalance loads are separately connected to simulate power quality issues, and simulation results verify the feasibility of the proposed strategy and its advantages compared with the traditional scheme for power quality control equipment.

Power quality  /  multi-objective particle swarm  /  optimal allocation and sizing strategy  /  distribution network
Mian FU, Zhihan LIU, Zhenhao SONG, Juan ZHOU, Shaotong DU. Optimal Allocation Strategy for Comprehensive Control Equipment of Power Quality in Distribution Area[J]. Journal of Power Supply, 2024 , 22 (2) : 336 -344 . DOI: 10.13234/j.issn.2095-2805.2024.2.336
Funding
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  • Science and Technology Project of State Grid "Research on Key Technology of Intelligent Power Quality Perception and Improvement in Distribution Area"(520600200039)
Appendix
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Year 2024 volume 22 Issue 2
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Article Info
doi: 10.13234/j.issn.2095-2805.2024.2.336
  • Receive Date：2022-01-12
  • Online Date：2025-07-21
  • Published：2024-03-30
Article Data
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History
  • Received：2022-01-12
  • Revised：2022-04-25
  • Accepted：2022-04-26
Funding
Science and Technology Project of State Grid "Research on Key Technology of Intelligent Power Quality Perception and Improvement in Distribution Area"(520600200039)
Affiliations
    1 School of Electrical and Power Engineering China University of Mining and Technology Xuzhou 221008 China
    2 State Grid Shanghai Energy Internet Research Institute Shanghai 201213 China
    3 School of Electrical Engineering Henan Polytechnic University Jiaozuo 450001 China
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