Zang Chuanzhi

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For the energy management problems for demand response in electricity grid, a genetic based fuzzy Q-learning consumer energy management controller (CEMC) is proposed. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete information for the consumer behavior in electricity grid. In this case, the Q-learning,(More)
There are many random micro-sources in the microgrid, which make it necessary to design complicated control strategies to ensure the safety and reliability of the system. In this paper a development process for a micro-source controller is presented. It is completely based on the model design method, which supports the rapid implementation of micro-source(More)
As an important content of demand side management m smart grid, load management makes an effect on users' consumption behaviors such as energy consumption patterns. The price elasticity plays a very important role m the prediction of electricity demand. The price elasticity coefficient is denoted and analyzed for both single period and inter-temporal(More)
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