Power Grid De-icing Optimal Plan Based on Fractional Sieve Method

2017 2nd Asia Conference on Power and Electrical Engineering

能源学;电工学

Xie, Guangbin^1 ; Lin, Meihan^2 ; Li, Huaqiang^2

State Grid Yibin Power Supply Company, Yibin, China^1

Sichuan University, Chengdu, China^2

关键词: Decision making models;    Failure probability model;    Icing conditions;    Objective functions;    Operational risks;    Optimal plan;    Particle swarm optimization algorithm;    Security risks;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/199/1/012045/pdf
DOI  :  10.1088/1757-899X/199/1/012045

来源: IOP

【 摘 要 】

Aiming at the problem that the reliability of system was reduced and the security risk was increased during the DC de-icing period, a decision-making model based on the fractional sieve method was proposed. This model introduced risk assessment theory, and took into account the comprehensive failure probability model of protection action and ice cover. Considering the de-icing condition, a DC de-icing strategy model, which was with the objective function of minimizing the load of shedding and minimizing the operating risk, was proposed. The objective function was optimized by particle swarm optimization algorithm and fractional sieve method. The simulative results of IEEE30-bus system indicated that the load loss caused by de-icing and the operational risk of the system could be effectively reduced by the proposed model. It provided a reference for power department to make a de-icing plan.