Study on 24h Dynamic Reactive Power Optimization Considering Safety Operation Limit of Generators

Lü, Bin; Xi, Xu; Yu, Zhipeng; Wang, Wen; Gu, Xuenan

doi:10.1109/isgt-asia.2019.8880807

Cited by 1 publication

(2 citation statements)

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“…The static optimization results should be sorted by adjacent times in the method, and the priority order cannot be determined if more than two differences are equal in the sorting reactive power compensators. In article [9], a complete 24-h non-linear mixed integer DRPO mathematical model is established considering the constraints of generator operation and decentralized control variables with global constraints. The interior point algorithm is used to solve the problem.…”

Section: Pre-action Table Methodsmentioning

confidence: 99%

“…To address the problem of DG integration of the distribution network, article [8] proposed a sensitivity‐based relaxation and decomposition method for DRPO to coordinate continuous and discrete reactive power compensators. In article [9], a complete 24‐h non‐linear mixed integer DRPO mathematical model is established considering the constraints of generator operation and decentralized control variables with global constraints. The interior point algorithm is used to solve the problem.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic reactive power optimization of distribution network with distributed generation based on fuzzy time clustering

Chen

Wang

et al. 2021

IET Generation Trans & Dist

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In order to solve the coordinated optimization problem of distributed generation (DG), on-load tap changer (OLTC) and capacitor banks, a dynamic reactive power optimization (DRPO) method based on fuzzy time clustering is proposed. In the method, fuzzy time clustering algorithm is used to cluster the static optimal switching sequence of OLTC and capacitor banks. The time decoupling of control variables is realized and it meets the constraints of the maximum switching times. Next, the influencing factors of DG reactive power limit are analysed. Considering the control ability of OLTC, capacitor banks and DG in voltage and reactive power optimization, a coordinated optimization method is proposed. Since the adjustment of OLTC tap position directly affects the voltage and reactive power distribution of the whole line, the switching time and tap position of OLTC are determined based on the static optimization results of each time and fuzzy time clustering algorithm. Then, the switching time of capacitor banks is determined by fuzzy time clustering algorithm. At last, the switching capacity of capacitor banks and DG reactive power are jointly optimized to get the final control scheme. The proposed method demonstrated good performance in the modified IEEE33 node system and two actual power grid examples.

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Section: Pre-action Table Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%