Open AccessTransmission network planning considering line maintenance plan with new energy resources integration
Author(s) -
Xueliang Li,
Donglei Sun,
Zhixin Wang,
Hao Xu,
Mingqiang Wang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/6/062015
Subject(s) - solver , mathematical optimization , probabilistic logic , computer science , electric power transmission , transmission line , plan (archaeology) , transmission (telecommunications) , energy (signal processing) , line (geometry) , nonlinear system , stochastic modelling , integer programming , operations research , linear programming , engineering , mathematics , telecommunications , statistics , physics , geometry , archaeology , quantum mechanics , artificial intelligence , electrical engineering , history
In this paper, a stochastic optimization model of transmission network planning considering annual planned maintenance of lines under new energy integration is proposed. This model combines the planning model and maintenance model together, and can determine the optimal transmission capacity of lines and the annual maintenance plan simultaneously. In addition, in order to take into account the uncertainty of wind power output, the multi-scenario probabilistic method is used, and the nonlinear constraints in the model is equivalently linearized, therefore the model can be converted into a mixed integer linear model and can be directly solved by the commercial solver. To validate its effectiveness and superiority, the proposed stochastic optimization model is tested on the IEEE RTS-24 system.