Unit Commitment Model under Uncertainty of Wind Power Producer

Recently, the increasing penetration of wind energy has provided various ways to operate the system at low cost and low pollution. On the other hand, the noticeable uncertainties caused by the forecast error of wind speed restrict the utilization of wind energy. Moreover, it brings unprecedented challenges to maintain system adequacy. One prevailing solution is to maintain sufficient spinning reserve of thermal units, which is not affordable. This paper analyses the relationship between the operation cost and wind power uncertainty using AC unit commitment in the frame of a short-term market. Conditional value-at-risk is established in a percentage of the worst-case estimations on wind power scenario under uncertainty to achieve adequate trade-offs between optimal solution and risk aversion. Operation cost of generation, load shedding cost and reserve cost are optimally established by multi-objective optimization. Finally, the simulation is performed on the test system and the obtained results are evaluated and compared to demonstrate the research effectiveness.

Automated summary

This study analyzes the relationship between wind power uncertainty and system operating costs, finding a way to balance optimal solutions and risk aversion through multi-objective optimization. By establishing conditional value-at-risk, the study achieves adequate trade-offs in the worst-case scenarios of wind power uncertainty.