Dispatch strategy to minimise uncertainty in wind power generation in the Australian national electricity market

Abstract

Abstract2014 ACPE. With increased penetration of wind power, scheduling generators to meet the forecast demand of a power system is becoming an increasingly challenging task for the system operators. Uncertainty associated with the generation expected from wind plants adds to the load demand uncertainty, making it necessary to retain additional reserves to maintain the balance between demand and supply of power. In the Australian national electricity market (NEM), sophisticated wind forecasting techniques are employed to reduce the uncertainty in wind generation. Despite being able to project the contribution of wind power to a reasonable accuracy, wind power plants are currently not considered to be dispatchable resources in the NEM. This paper discusses the possibility of assigning firm generation responsibilities to wind plants, especially in a dynamic electricity markets as the NEM, where the generation scheduling happens between five to ten minutes ahead of actual dispatch. Abstract-With increased penetration of wind power, scheduling generators to meet the forecast demand of a power system is becoming an increasingly challenging task for the system operators. Uncertainty associated with the generation expected from wind plants adds to the load demand uncertainty, making it necessary to retain additional reserves to maintain the balance between demand and supply of power. In the Australian national electricity market (NEM), sophisticated wind forecasting techniques are employed to reduce the uncertainty in wind generation. Despite being able to project the contribution of wind power to a reasonable accuracy, wind power plants are currently not considered to be dispatchable resources in the NEM. This paper discusses the possibility of assigning firm generation responsibilities to wind plants, especially in a dynamic electricity markets as the NEM, where the generation scheduling happens between five to ten minutes ahead of actual dispatch.

Visualizing the Maximum Energy Zone of Wind Turbines Operating at Time-Varying Wind Speeds

“…Wind forecasting techniques are used for the integration of wind turbines into the electricity market and their dispatch. In this way, it is possible to forecast the amount of energy produced, taking into account the dynamics of the electricity market, which are determined by the demand for electricity [1,2], and synchronized with the power curve of the installed wind turbines, which predicts the output as a function of the wind speed [3]. In order to know the wind speed variation curves, it is necessary to make recordings over sufficiently long periods using anemometric towers.…”