CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
Multi-agent method of management energy flows in hybrid power systems with renewable energy sources
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Read | May Ngok Tkhang, Kamaev Valeriy A., Shcherbakov Maksim V., Chin Tkhe Khung Multi-agent method of management energy flows in hybrid power systems with renewable energy sources // Caspian journal : management and high technologies. — 2013. — №2. — pp. 30-42. |
May Ngok Tkhang - post-graduate student, Volgograd State Technical University, 65 Lenin av., Volgograd, 400005, Russian Federation, kamaev@unix.cad.vstu.ru
Kamaev Valeriy A. - D.Sc. (Engineering), Professor, Volgograd State Technical University, 65 Lenin av., Volgograd, 400005, Russian Federation, kamaev@unix.cad.vstu.ru
Shcherbakov Maksim V. - Ph.D. (Engineering), Associate Professor, Volgograd State Technical University, 65 Lenin av., Volgograd, 400005, Russian Federation, kamaev@unix.cad.vstu.ru
Chin Tkhe Khung - undergraduate student, Volgograd State Technical University, 65 Lenin av., Volgograd, 400005, Russian Federation, kamaev@unix.cad.vstu.ru
Global warming and significant increase prices of traditional energy sources are becoming a critical problem in many countries. To solve this problem require providing a new energy policy based on power system with renewable energy sources. The aim of this project is to minimize energy the cost by optimizing the power system. This article discusses the structure of hybrid renewable energy system (HRES), method of management HRES based on multi-agent technology, and strategy of power purchase. Moreover, the implementation of a neural network to predict the energy consumption and energy production in real time based on weather factors is the scientific novelty of this project. Result of tests with data of EcoScada shows the effectiveness of the developed system in comparison to existing power systems.
Key words: multi-agent system,hybrid,smart grids,intelligent agent,renewable energy sources,neural network,forecast,optimization,HRES