Minimum emissions optimal power flow in wind-thermal power system using Opposition based Bacterial Dynamics algorithm

摘要

This paper solves an optimal power flow problem to minimize the emission due to carbon oxides, nitrogen oxides and sulfur oxides with cost as a constraint for a wind-thermal power system. Wind energy can reach significant penetration in modern power system and the wind power will introduce additional uncertainties. Market price is mainly influenced by the generating fuel cost, as the wind power being environmental friendly need to be utilized in optimum. But, the intermittency of wind power affects the system operation. In such uncertain environment, the decision to be taken should be reasonable, economical and not risky. Under this regime the System Operator should be aware of wind uncertainty and schedule wind power accordingly. This paper shows the trade-off between cost and emission minimization objectives for the wind-thermal power system using the Opposition based Bacterial Dynamics algorithm. The proposed approach is implemented on IEEE 30 bus system with wind farms located at different buses.