Economic dispatch of power system based on bat optimization algorithm
In view of the optimization and scheduling of the power system,an operation strategy based on the bat optimization algorithm was proposed,aiming to reduce the total fuel cost of the generator set and reduce the emission of pollutants.However,due to the complexity of constraints,general mathematical methods are difficult to solve this problem.Therefore,this paper adopted the optimized bat algorithm(NBA)to solve the problem of dynamic economic scheduling of the power system.In order to verify the performance of the optimized NBA algorithm,this paper optimized the scheduling of a power system containing 6 thermal power units,and simulates and tests the model in Matlab software.Taking the minimum operating cost as the target function,the constraint conditions include power balance constraint,maximum and minimum output constraint of thermal power unit,thermal power unit climbing constraint,network trend constraint,etc.,used the NBA algorithm to complete the optimization and scheduling decision-making task of the power system.The result showed that the optimized algorithm reduced pollution.At the same time,it reduced the cost of power generation and improved the benefits of normal power generation in the power system.
power systembat algorithmoptimized schedulingthermal power unitoperating cost
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