Study On Controlling Mothod And Designing Of Network Control Device With Distributed Interruptible Load

With the rapid development of information technology and improvement of people’s life quality, users have exerted much higher demand on the amount and quality of the electricity supply. Considering the current situations such as the rapid growth in electrical power demand, increasing electricity consumption and peak load, furtherly widening difference between load peak and bottom, declining load rate and so on, sole dependence on installation of as much generation capacity as possible is not only uneconomic but impossible. And load management and control are important content of DSM. The functions of load control and management system will be extended and its effect should be paid more attention. The network control device with a distributed interruptible load, stated in this thesis, will be utilized to solve resource underutilization problem, so that electrical equipment and power lines can be in the perfect running condition, the difference between load peak and bottom can be narrowed, and power supply will be safe and economic. The distributed interruptible load resources may be as important resources. The more effective service may be offered if the distributed interruptible load resources are used more effectively.Against the research background with the2010cooperation project between North-eastern University and Shenyang Power Supply Company:"the modern DSM-based load management system", this thesis focuses on some key problems in distributed interruptible load control, like the network designing, optimization grouping scheduling and strategic analysis about multi-model switch control, including:(1) Our current national electricity strain has been analyzed, and whereby it introduced the significance of peak and bottom difference narrowing and power network reliability improvement by network control with distributed interruptible load. The thesis indicates some unsolved problems and prospects of the further study of the distributed interruptible load control.(2) Through designing the Control protocol self-learning circuit, studying the ARM7development board and designing GPRS wireless communication module, the thesis has made research and development toward distributed interruptible load network control device and applied to the interruptible load equipment air conditioning (most widely used today). The whole experiment has proved this device’s practicability and reliability. (3) An improving ant colony algorithm (IACA) is proposed to optimize the scheduling of distributed interruptible load control strategies. When improving, we introduce global pheromone residue index in the refresh strategy to avoid being trapped in local optimum, and give the getting way related to the pheromone heuristic factor and pheromone impact factor, which contributes to expand the search solution possibility for the global optimum. In order to improve the user’s satisfaction, the algorithm has fully considered restrictions like the load rally, users’satisfaction, the service life and etc. The scheduling strategy not only shed the required load at each sampling time, but also minimized the power supplying company’s revenue loss.(4) A learning model switch control strategy has also been proposed based on a dynamic model basement. We have introduced the concept of dynamic model basement and chosen the model closest to the practical on according to the switch indicators in every sampling point, then switch the current controller to the model one, and optimize the multi-model in the basement. This strategy overcame the weakness of exterior disturbance and uncertainty in the loading subjects as well as of the poor systematic transient response under the mutations of model parameters, and verified the global stability and optimal convergence speed. Calculation result simulation shows that the control method is effective.