摘要

In recent years, global concerns about environmental issues and pollutant emissions have been incorporated into the optimal power flow frameworks used in electricity power markets. Therefore, the generation of participant generators in the power market is changed to fulfill new environmental requirements. While reducing emissions, these requirements may exacerbate the transient stability margin due to increasing the generation of critical generators. This leaves the system vulnerable against serious faults like short-circuit in transmission lines. In this paper, by employing multi-objective optimization based on epsilon-constraint, a transient stability index termed corrected transient energy margin is imposed on the environmental optimal power flow to prevent transient stability deterioration. In the proposed multi-objective framework, the total operation cost is minimized as the main objective function while emissions as the second objective function are minimized and the transient stability margin as the third objective function are maximized at the same time. Pareto solutions are obtained and a fuzzy decision maker picks up the best Pareto solution. To verify the efficiency of the proposed method, it is tested on the New-England test system. Results indicate that the optimal point obtained by the proposed approach satisfies power system economic, environmental, and security needs simultaneously.

  • 出版日期2012-2