Research On The Grid Computing-based Smart Security Assessment Of Power Systems

As the nerve center of interconnection grid, smart security assessment is a unified key element of a strong power grid, which is the basis for the maintenance of power production process and the way to protect power grid operation and development. With the wide-area measurement systems and grid computing technology in China's power system widely used, making use of these imformation for intelligent security assessment system research and design work possible.For the characteristics of power system static stable, a smart voltage stability assessment and prediction model is proposed using support vector machine. In the voltage stability assessment, classification machine is used, and it makes full use of wide area measurement system information in order to capture the typical characteristics of a variety of learning samples. In the voltage stability prediction, regression machine is used, which predicts the phasor and amplitude of voltage, and then it is used to find the stability margin k.For the complex, time-varying characteristics of power system, a smart model for transient stability assessment and control is proposed. A transient stability prediction model of on-line learning is used for a detailed system, which assesses the stability of the system through LWPR online learning algorithm. It also uses CCCOI-RM tramsform to improve the computing speed to meet the on-line transient stability predicted needs. Another transient stability assessment model for simplified model of the system is proposed based on antigen energy function. Using of antigen energy function to distintinct between acceleration energy and deceleration energy to obtain the critical energy estimateds, and then to guide the fast-valving and other control measures to maintain system stability.For the actual characteristics of Shanghai power grid, a security assessment system based on grid computing is developed. Excepte the feature of low-cost, reliability and adaptability, the use of virtual environment framework provides a performance optimization and competitive advantage. The integration of Globus and SHPG makes the grid power system technical architecture more flexible and reliable. The design of proxy service models, geographical templates and scalable grid group so that the scalability and adaptablility of power grid more powerful. The simulation results of Shanghai power grid show that: based on grid comuputing for dynamic security assessment system can make full use of existing resoutces to achieve linear speedup and the calculation results are accurate and reliable, which proveds a powerful tool.