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Distributed Intelligent Control and Its Application in Simulation of Macro-Policy to Electric Power Supply and Demand

Jiao Xiaoyou1 Hu Zhaoguang2 Zhou Yuhui1 (1. Beijing Jiaotong University Beijing 100044 China 2. State Power Economic Research Institute Beijing 100761 China)  
The relationship between macro-policy and electric power supply and demand is non-linear and complicated. Policy simulation is a semi-structure problem, and many non-linear relationships and uncertain factors can’t be simulated in the traditional linear model. Based on the conclusion that intelligent engineering (IE) is a kind of methodology and 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 and observability of DIC system are defined for the first time, and rule-based models are built to endow the DIC system with fuzzy illation ability. As a sample, agent-based intelligent simulation system on macro-policy is built to simulate the influence from macro-policy to electric power supply and demand. Simulation example demonstrates the advantage and feasibility of the DIC theory and the designed system.
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