An adaptive hybrid dynamic state estimation method of the medium-voltage DC integrated power system with pulse load

High load balancing scheduling method of power system based on multi-objective genetic algorithm

“…Multi-objective genetic algorithm is an optimization algorithm based on biological evolution theory [8]. It simulates the natural evolution process, introduces multiple objective functions into the optimization process, and searches the potential solution space through operations such as crossover and mutation, thus obtaining an approximate set of optimal solutions, which is called Pareto frontier [9]. Compared with single-objective optimization algorithm, multi-objective genetic algorithm can better deal with multiple conflicting objective functions and find the best tradeoff solution [10].…”

Power System Transient Stability Assessment Model Construction Using Improved SVM

“…In data processing, most of the sample data are nonlinear data, and there will be some defects in the SVM algorithm when processing nonlinear data. When the data sample is mapped into the high-dimension, data sample calculation amount will increase with the increase of the spatial dimension, so some functions of the spatial kernel are changed by replacing to obtain the kernel function, The kernel function can transform low function value into the value of the high dimension function when the vector data is converted into dimensions, and an improved SVM algorithm model is obtained [21] in formula ( 9).…”