Intelligent Engineering and Its Application in Policy Simulation

The balance of electric power supply and demand is the important precondition of the sustainable development of power industry and national economy. In China, the government adjusts industry structure by putting macro-policy in practice for the balance. But the relationship between macro-policy and electric power supply and demand is non-linear and complicated, namely that policy simulation is a semi-structure problem, and many non-linear relationships and uncertain factors can’t be simulated in traditional linear model. Intelligent Engineering (IE) is a kind of methodology, System Engineering (SE) offers direction for perfecting and applying IE, This paper focuses on the combination of Distributed Artificial Intelligence (DAI) and Cybernetics, and does an innovative research about Distributed Intelligent Control (DIC). Based on IE and optimized solution theory, the controllability of DIC system are defined for the first time. As a sample, agent-based intelligent simulation system is built to simulate the influence from macro policy to electric power supply and demand.