Economic dispatch with ramp constraints concerning wind power uncertainty

This paper aims to solve an economic dispatch problem concerning wind power using a Bacterial Swarm Algorithm (BSA). The massive installation of the wind turbines in power system presents a challenge for the conventional economic dispatch. With increasing wind power penetration, the ramp capability of wind farms correlates with the uncertain wind speed rather than a fix ratio as conventional generators. Therefore, the ramp constraints of the economic dispatch can be extended to a probability which is related to the wind speed. In order to solve the constrained optimization problem, this paper employs the BSA to reduce the fuel cost by selecting suitable control variables governing the power systems. The proposed method has been evaluated using an IEEE 30-bus test system. Simulation results indicate that the proposed method significantly reduces the fuel cost and satisfies the ramp constraints.