JOINT STOCHASTIC WIND THERMAL GENERATION SCHEDULING AND EMISSION REDUCTION USING MULTIOBJECTIVE AUGMENTED EPS CONSTRAINT ALGORITHM

This paper proposes a methodology for windthermal scheduling in a power system with high penetration of wind power subject to consider air pollutants emission. Because of simultaneous minimizing both operating cost and air pollutants emission, we used a Multiobjective Mathematical Programming (MMP). The computation of the required reserve levels and their costs is attained through a stochastic programming marketclearing model. Although, the network constraints and the cost of both the load shedding and the wind spillage is considered. The MMP approach based on Augmented eps-constraint algorithm has been suggested for generating Pareto-optimal solutions of power systems wind-thermal scheduling problem. Additionally, fuzzy decision making process is employed to choose one of the Pareto-optimal solutions as the best compromise nondominated solution. The usefulness of the proposed approach were demonstrated through an IEEE 30-bus test system.

Keywords:

Air Pollutants Emission , MultiobjectiveMathematical Programming , Stochastic Programmig , Unit Commitment , Wind Power