A Multi-agent Control Method and Realization in Wind-Solar Hybrid Power Generation System

• Published in: 2009 International Conference on Energy and Environment Technology Vol. 1; pp. 507 - 510
• Main Authors: Shuyun Jia, Jiang Chang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2009
• Subjects: Artificial intelligence; Automatic generation control; Control systems; decision-making model; Hybrid power systems; multi-agent technology; optimization control; Power generation; Power generation economics; Power system modeling; Solar power generation; Wind energy generation; Wind power generation; wind-solar energy hybrid power generation
• ISBN: 9780769538198; 0769538193
• DOI: 10.1109/ICEET.2009.128

Artificial intelligence (AI) is an advanced control method. Agent technology is farther development of AI. Wind-solar hybrid power generation is a novel and promising power system. But because of randomicity and complexity of the climate, it makes wind-solar hybrid power generation system to be a complicated system. In this paper, we introduce advanced agent technology into the wind-solar hybrid power generation system. Then, based on multi-agent technology, we establish the decision-making model of wind-solar hybrid power generation system. According to its function, the whole system is divided into several agent modules and each agent module is again divided into some detailed agents. What is more, we realize system decision-making process by the flexible collaboration and communication of these agents. The scheme can be applied into sea-island, remote region, unmanned operation' wind-solar energy hybrid power generation system and it can enhance power system' intelligence. So it makes system more robust.