Optimization of Power System Scheduling Based on SCEM-UA Algorithm
Abstract: Due to the world’s
increasingly serious energy crisis, shortage of resources, and environmental degradation,
traditional power system analysis and scheduling optimization methods have
faced newchallenges. This article examines the features of optimal scheduling
of power system containing cascadehydropower, and establishes a scheduling
model based on the Shuffled Complex Evolution Metropolis(SCEM-UA) algorithm.
This model takes the cost of power generation, emission of gaseous pollutants,
andthe characteristics of the generators fully into account. Constraints on the
changes in thermoelectric generator power output were added to the set of
constraint conditions, reducing the impact of thermalpower fluctuations on the
power system. Here, the SCEM-UA algorithm was used to solve the problem of optimal
power system scheduling and render the model capable of global optimization
searches. Analyses of simulated cases have demonstrated that the SCEM-UA
algorithm can resolve the conflict betweenconvergence speed and global search
capability, increasing the global search capability of the model.
Author: Zi Yang Qiang
Journal Code: jptkomputergg150100
