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Distribution Network Loss Calculation and Reactive Power Optimization Loss Reduction Analysis

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DOI: 10.23977/jaip.2020.040209 | Downloads: 12 | Views: 827

Author(s)

Kun Wang 1, Kejun Yang 2, Shaoxiong Huang 1, Yuanke Zhou 1, Yuanzhu Fan 2, Chengjun Liu 2, Hao Gu 2

Affiliation(s)

1 Anhui Electric Power Co., Ltd., Hefei, Anhui Province, China
2 Anhui Nanrui Jiyuan Power Grid Technology Co., Ltd., Hefei, Anhui Province, China

Corresponding Author

Kun Wang

ABSTRACT

Traditional deterministic power flow and static reconfiguration methods can not take into account the influence of uncertain factors in power grid. Therefore, a multi-objective dynamic reconfiguration method based on probabilistic power flow considering the randomness of load and DG is proposed. The probabilistic model of distributed generation (DG) output and load is established, and the probabilistic power flow is calculated by using semi invariants and gram ⁃ Charlie series. The structure of distribution network is diverse and the topology is complex. The access of distributed generation (DG) makes the structure of distribution network more complex. In the complex distribution network structure, once a fault occurs somewhere, if it can not be quickly and accurately implemented, it will cause a large area of power failure and bring huge economic losses. After the emergency repair, if the network structure is not recombined, there will be problems such as low power supply reliability and operation efficiency of the distribution network. Therefore, it is of great significance to study the emergency repair and recovery strategy for complex distribution network with multiple faults.

KEYWORDS

Probabilistic power flow, Dynamic reconfiguration, Simulated annealing

CITE THIS PAPER

Kun Wang, Kejun Yang, Shaoxiong Huang, Yuanke Zhou, Yuanzhu Fan, Chengjun Liu, Hao Gu. Distribution Network Loss Calculation and Reactive Power Optimization Loss Reduction Analysis. Journal of Artificial Intelligence Practice (2021) Vol. 4: 50-59. DOI: http://dx.doi.org/10.23977/jaip.2020.040209

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