06-03-2013, 02:18 PM
WIND-SOLAR HYBRID GENERATING SYSTEM
WIND-SOLAR HYBRID.pptx (Size: 255.78 KB / Downloads: 113)
INTRODUCTION
Now a days, the human are faced with the problem of energy sources lack and environment worsened, energy, environment and economy’s continuable development is our aim.
The multi-agent model of Windy-solar Power Generation System about its control part, maintenance part and management part. The model can optimize windy-solar power generation.
Multi-agent model of the wind-solar energy power system
Windy-solar energy power generation set is placed on rich resource areas, such as sea-island, remote region, which demand unmanned operation and remote-monitor. These characteristic ask the control system high reliability.
In order to resolve these complicated questions which cannot be solved by conventional control theory, we design multi-agent control system of windy-solar joint power generation system based on multi-agent technology.
Realization of multi agent system
Design the multi-agent model of Windy-solar Power Generation System based on multi-agent communication language and corresponding mechanism.
The systems agent collaboration includes the 3 steps they are:
Data collecting and processing module.
Control modular.
Info management module.
Configuration of hardware and software
In this system, we first divide the whole Windy-solar Power Generation System into some function modules based on the agent theory.
The system’s hardware part is made up of Windy Power Generation Set, Solar Power Generation Set, personal computer or industrial personal computer, input or output device, local area network system etc;
CONCLUSION
we have researched multi-agent theory and technique and established a Multi-agent model of the Windy-solar Power Generation System, including data collecting and processing module, control module, info-management module, resource-management module.
The Windy-solar Power Generation System based on the multi-agent technology can solve some control difficulties such as low reliability, weak maintainability resulted from the system’s nonlinear, distributing and random features.