A Distributed Harmonic Mitigation Strategy Based on Dynamic Points Incentive of Blockchain Communities

Lei Wang, Wen Zhou, Can Su, Jiawen Fan (), Weikuo Kong and Pan Li
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Lei Wang: State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China
Wen Zhou: State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China
Can Su: State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China
Jiawen Fan: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Weikuo Kong: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Pan Li: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

Energies, 2024, vol. 17, issue 11, 1-32

Abstract: With the high proportion of renewable energy sources and power electronic devices accessed in the distribution network, the harmonic pollution problem has become increasingly serious. The traditional centralized harmonic mitigation strategy has difficulty in effectively dealing with these scattered and random harmonics. Therefore, a distributed harmonic mitigation strategy based on the dynamic points incentive of blockchain communities is proposed in this paper. Firstly, a comprehensive voltage sensitivity partitioning method with harmonic weight differentiation is proposed to realize the reasonable partitioning of each control node and controlled node in the distribution network concerning variability in harmonic components and their distribution. Then, a harmonic mitigation strategy based on the dynamic integral excitation of self-learning algorithms is constructed to promote self-organized optimization and active distributed coordinated control of mitigation devices. The strategy ensures that the total harmonic voltage distortion rate of each node meets the requirements by adjusting the partitioned collaboration to realize optimal harmonic mitigation. By setting optimized partitions in different scenarios and conducting simulation verification, the results demonstrate the effectiveness of the strategy in this paper. It stimulates synergy between devices through a dynamic incentive mechanism and significantly reduces the total harmonic voltage distortion rate across various test scenarios, reflecting the adaptability of the harmonic mitigation method presented.

Keywords: harmonic mitigation; dynamic points incentive; voltage detection active power filter; blockchain community; distribution network partition (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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