The Effect of Implementing Wind Power on Overall Electricity Generation Costs, CO<,2> Emissions and Reliability

To investigate the effects of wind power correctly, it is necessary to embed wind turbines in a wider power system and to take a look at the overall picture. It is not possible to isolate wind turbines and their impact from the rest of the power system; they interact with the electricity generation of the entire power system. This paper presents a simulation tool that models wind power and its unpredictability properly, and allows determining the effects wind power has on the cost of electricity generation and on CO<,2> emissions. Furthermore, the model is able to investigate the effects of the accuracy of wind speed forecasting on reliability. The simulation model uses Mixed Integer Linear Programming (MILP) and has the characteristics of an advanced Unit Commitment (UC) model. The model takes into account a wide set of technical constraints of power plants (minimum operating points of power plants, minimum up- and downtimes, startup costs, etc.). To take wind power into account properly, a specific algorithm has been developed. In a first step a regular 24 hour day ahead UC optimization is performed, with a certain forecast of wind power. In a second step, the real-time dispatch is executed. Each hour of the day, the activated plants are dispatched, taking the actual wind power output into account. Spinning reserves can be used to overcome incorrect wind power forecasts. The method is applied on a case study for Belgium (having an interesting diverse generation mix). High detailed technical information of power plants, demand profiles and empirical data of several wind sites is used in the simulations.
wind power simulation forecasting electricity generation modeling unit commitment (UC) mixed integer linear programming (MILP)
Erik Delarue Patrick Luickx William Dhaeseleer
Division of Applied Mechanics and Energy Conversion, University of Leuven (K. U. Leuven)
国际会议
2007上海国际风能大会(Wind Power Shanghai 2007)
上海
英文
298-311
2007-11-01(万方平台首次上网日期,不代表论文的发表时间)