摘要

Monitoring, dispatching and optimal operation of power grids under new circumstances are discussed. Moreover, the security, economy and cleanliness for smart grids are evaluated with quantitative indices such as active power loss, emission pollution and voltage stability. Doubly fed induction generator (DFIG) model is integrated with the traditional optimal power flow (OPF) model in algorithm presented in this paper, and the impact of large-scale wind power integration on power systems is considered. Taking the above-mentioned indices as optimization objectives, the algorithm adopts strength Pareto evolutionary algorithm (SPEA2) to get solution for the optimization model. It is shown that the algorithm enables multi-objective optimization and multiple aspects for monitoring in smart grids. Therefore, it provides new thoughts for monitoring in smart grids.

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