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Conference object . 2013 . Peer-reviewed

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Dispatch distributed generation and load forecasting by GSO algorithm and natural network optimized by genetic

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Nov 2013Publisher:IEEEJournal:2013 Chinese Automation Congress

Authors: He Zhiqiang; Wang Yingnan; Li Xintong; Teng Fei; Li Yushuai;

doi: 10.1109/cac.2013.6775847

Dispatch distributed generation and load forecasting by GSO algorithm and natural network optimized by genetic

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Abstract

This paper mainly discuss a problem that how to optimize the ways on electric system dispatching. The GSO algorithm and natural network optimized by genetic are used to solve the problem. The distributed generations and the loads can be seen as producer, requester and random dispersion members which is in the nature. Due to the electric system is a dynamic system, the load forecasting must be done by the natural network. This algorithm is optimized by genetic algorithm to solve the problem that need lots of data. Through previous algorithm can solve the electric system dispatching problem.

Related Organizations

North University of China
China (People's Republic of)
Northeastern University
China (People's Republic of)

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Fields of Science (3) View all

engineering and technology

electrical engineering, electronic engineering, information engineering

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

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Related to Research communities

Energy Research