Research on Grid Connected Optimization Scheduling of Micro-grid Utilizing on Improved Bee Colony Method

  • Qiangshan Zhang Xinyang Vocational and Technical College, China
Keywords: optimal dispatch; improved bee colony algorithm, microgrid grid connetion


In order to achieve grid connected optimal dispatch of micro-grid, a improved bee colony method is put forward to carry out optimization of grid connected dispatch. Firstly, the optimal scheduling model of micro-grid grid connection, and the overall cost of generating electricity and environmental cost of micro-grid grid connection is used as objective function, and system power balance constraint, power constraint of micro power supply, contact line constraint that interacted with main grid and charge and discharge cycle of battery are used as constraint conditions. Secondly, the improved bee colony algorithm is established through introducing particle swarm algorithm. Finally, a residential area is used as an example, and the optimal dispatch of micro-grid grid connection is carried out based on proposed model, and simulation results showed that the proposed model has higher correctness and efficiency.


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Author Biography

Qiangshan Zhang, Xinyang Vocational and Technical College, China

Qiangshan Zhang, male, master, associate professor, school of mathematics and computer science, xinyang vocational and technical college, xinyang outstanding young science and technology expert, member of Chinese computer society.

He mainly teaches computer network technology, data structure, database technology, website design and management, introduction to e-commerce and other professional courses. His main research direction is computer network and database.

He graduated from the Department of Computer Science, Henan University with a bachelor’s degree in June 1997. He graduated from the School of Computer Science, Wuhan University with a master’s degree in June 2010.

He has presided over and participated in a number of scientific research projects, including science and technology research projects sponsored by the Department of Science and Technology of Henan Province and projects sponsored by the Department of Education of Henan Province for young backbone teachers. He has won a second prize of Xinyang City Science and Technology Progress Award, a third prize of Xinyang City Science and Technology Progress Award, a first prize of Henan Division of the National Multimedia Education Software Grand Prix, and a number of first and second prizes of Henan Provincial Department of Education.


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Renewable Power and Energy Systems