Open AccessOptimisation model for online generators when a new generator is about to get started during power system restoration process
Author(s) -
Liu Chongru,
Wu Minhao,
Xu Wei,
Qian Feng,
Luo Gang,
Duan Qingang,
Hu Haiyang,
Wang Jiayu
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.0331
Subject(s) - generator (circuit theory) , mathematical optimization , electric power system , variable (mathematics) , computer science , power flow , minimisation (clinical trials) , process (computing) , power (physics) , control theory (sociology) , mathematics , control (management) , mathematical analysis , statistics , physics , quantum mechanics , artificial intelligence , operating system
Rapid restoration of power systems is vitally important following an outage; however, existing optimal objectives and models to start up all the generators may cause problems where by some generators are ramping while others are waiting shown in the calculation results. To address this problem considering the generator regulation characteristics, a variable‐constrained maximum‐value minimisation model is proposed in this study to describe the practical problem. By introducing the time variable t , the variable‐constrained optimisation problem is converted to a constrained optimal power flow problem, which can be solved using common optimisation approaches. Applying the proposed model and method, the optimisation method is discussed considering the characteristics of generators during power system black start. Numerical results show that the algorithm is effective and can significantly reduce the restoration time. The algorithm described here is applied to the Guangdong power grid self‐healing decision‐making system.