The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 29, 2018
Filed:
Oct. 14, 2013
Electric Power Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou, Zhejiang, CN;
State Grid Corporation of China (Sgcc), Beijing, CN;
Bo Zhao, Zhejiang, CN;
Jian Chen, Zhejiang, CN;
Xuesong Zhang, Zhejiang, CN;
Jinhui Zhou, Zhejiang, CN;
Xiaohui Ge, Zhejiang, CN;
Peng Li, Zhejiang, CN;
Electric Power Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou, Zhejiang, CN;
State Grid Corporation of China (SGCC), Beijing, CN;
Abstract
The present application discloses a method for optimized design of an independent micro-grid system, the independent micro-grid system comprising diesel generators, wind powered generators, a photovoltaic array, and an energy storage battery, the optimization method referring specifically to a multi-objective optimization design model based on the independent micro-grid system. In terms of the optimization planning design model, the method takes into account a combined start-up mode for a plurality of diesel generators and a control strategy for coordinating between the energy storage battery and the diesel generators, such that the usage rate of renewable energy in the independent micro-grid is higher, and operations more economical and environmentally friendly. Regarding the stability of the system optimization planning design model, the method takes into account the reserve capacity needed for stability of the independent micro-grid. In terms of the solving algorithm of the optimization planning design model, the method employs a multi-objective genetic algorithm based on NSGA-II to implement multi-objective problem-solving, thereby allowing a multi-objective optimization of the three major objectives of economy, reliability, and environmental friendliness of an independent micro-grid system.