Author:
Fu Kang,Du Zhaobin,Li Feng,Li Zuohong,Xia Chengjun
Abstract
Phase Shifting Transformer (PST) can help improve the power flow distribution of the transmission section, which can increase the wind power consumption of the grid. In order to adapt the PST allocation to the grid evolution, this paper presents a dynamic programming method to allocate PST in each planning stage of the grid optimally. The optimal allocation model of PST under a single grid seeks to maximize the wind power consumption and the Total Transfer Capacity (TTC) between areas. A calculation method for TTC of grids containing PST and wind power is proposed. The Non-Dominated Sorting Genetic Algorithm II (NSGA2) is used to solve the Pareto sets under each planning stage of the grid. Then, the optimal planning path of PST is derived based on dynamic programming. The superiority of the proposed method is demonstrated by comparing the IEEE-118 system results of dynamic and static programming.
Subject
Economics and Econometrics,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment
Reference30 articles.
1. Analyzing payment behaviors and introducing an optimal credit limit;Bandara,2019
2. Correlated wind-power production and electric load scenarios for investment decisions;Baringo;Appl. Energy,2013
3. Network topologies and transmission investment under electric-industry restructuring;Blumsack,2006
4. Phase-Shifting transformer application for dynamic stability enhancement of electric power stations generators;Brilinskii,2020
5. Optimal selection of phase shifting transformer adjustment in optimal power flow;Ding;IEEE Trans. Power Syst.,2017
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献