A Multi Objective Optimization Approach to Active Power Control of Wind Farm

Abstract

With more and more wind farms integrated into the power grid, the stability and security of the grid can be significantly affected by the windfarmgenerated power, due to the intermittent and volatile nature of the windfarmgenerated power. Therefore, control of the windfarm power to meet the stability and quality requirements becomes important. Active control of windfarm power, however, is challenging because the windfarm output power can only be reliably predicted for a short period of time (i.e., ultrashort term power prediction), and large variations exist in the windturbine output power. In this paper, an optimal active power control scheme is proposed to maximize the running time of each wind turbine, and minimize the onand/oroff switching of wind turbines, resulting in substantial reduction of windturbine wear and thereby, maintenance cost, and extension of windturbine lifetime, all together, a significant saving of operation cost of the whole wind farm. The proposed approach is illustrated by implementing it to the active power allocation of a windfarm model in simulation.