Minimum emission dispatch in an integrated thermal and wind energy conservation system using self-adaptive differential evolution

This paper solves an optimization problem to minimize the emission due to carbon oxides, nitrogen oxides and sulfur oxides with cost as a constraint for a wind-solar-thermal power system. Wind and solar energy can reach significant penetration in modern power system and they will introduce additional uncertainties. Market price is mainly influenced by the generating fuel cost, as the wind and solar power being environmental friendly need to be utilized in optimum. But, the intermittency of wind and solar 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 and solar uncertainty and schedule the renewable power accordingly. This paper depicts the trade-off between the cost and emission minimization objectives for the wind-solar-thermal power system using the Self Adaptive Differential Algorithm (SADE). The effectiveness of the proposed approach is tested on IEEE 30 bus test system with wind farms located at different buses.