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

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.

I. Introduction

Now, the human are faced with the problem of energy sources lack and environment worsened and the exploiture of new energy is urgent. Wind and solar energy attract much attention because of no pollution and durative use. Wind and solar energy power generation systems rapidly develop in recent years, their complementary in time and space makes wind and solar energy hybrid power generation system become most effective power generation mode. But, randomicity and complexity of climate make wind-solar hybrid power generation system be a complicated and open distributed system. Moreover, wind and 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. We must solve these problems by some new theory and technique.