Reactive Power Optimization Dispatch Strategy in Distribution Network with Distributed Generators. Issue 13 (19th January 2018)

• Record Type: Journal Article
• Authors: Wang, Chun; Xiang, Li; Deng, Zhenli; Liang, Zhifeng
• Is Part Of: Journal of engineering. Volume 2017:Issue 13(2017)
• Page Start: 1418
• Page End: 1422
• Publication Date: 2018-01-19
• Subjects: distributed power generation -- reactive power -- load dispatching -- Haar transforms -- wavelet transforms -- particle swarm optimisation -- capacitor storage; time‐space coupling -- network loss -- modified IEEE 33‐bus distribution system -- modified particle swarm optimisation algorithm -- dynamic reactive power optimisation scheduling model -- operation network loss -- voltage stability index -- two‐objective optimisation function -- day‐ahead scheduling -- payload power prediction curve -- Haar wavelet transform -- capacitor banks -- DG -- distributed generators -- distribution network -- dynamic reactive power -- optimisation strategy -- dispatching strategy; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2017.0565
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : In allusion to the current scenario on distribution networks containing distributed generation (DG), the coordinated dispatching of the compensating capacity of capacitors with reactive output of DG is not taken into account, a new optimisation and dispatching strategy of dynamic reactive power in distribution network with DG is researched in this study. This strategy takes into account the number of adjustment times for the capacitor banks. First, the Haar wavelet transform is used to segment and aggregate the payload power prediction curve of the distribution network. Second, the action sequence of the capacitor banks in the day is obtained. Finally, after the determination of the compensating capacity of capacitor banks, the day‐ahead scheduling of DG is drafted. A two‐objective optimisation function is made up of the voltage stability index of the weakest point of the system and the operation network loss. Then a dynamic reactive power optimisation scheduling model of the distribution network considering the voltage stability index is constructed. A modified particle swarm optimisation algorithm is used to analyse the simulation results in the modified IEEE 33‐bus distribution system. Compared with the present methods, the results show that the strategy can effectively improve the voltage stability of the distribution network in most of the day and limit the number of times of the capacitor banks to a given range in spite of the cost of slight increase of the network loss. Hence it is more practical to solve the problem of time–space coupling in dynamic reactive power optimisation.