A chance-constrained programming approach to determine requirement of optimal spinning reserve capacity

Under the premise of chance-constrained programming,when the consideration to reliability and economy of system operation should be given,how to consider the uncertainty factors such as the fault outage of generators and the error of load forecasting is researched so as to determine the optimal spinning reserve capacity that power system requires.Taking the purchase cost of minimized spinning reserve as objective as well as the secure requirement of power system as chance-constraint,a mathematical model to determine optimal spinning reserve capacity required by power system is constructed,and Monte Carlo simulation based genetic algorithm is adopted to solve the constructed model.Taking a power system containing 18 generating units for example the proposed model is illustrated.