Optimization method for power connection network of cogeneration based on support vector machine and ant colony algorithm
In order to better meet the energy needs of different users and create more economic benefits,a cogeneration power connection network optimization method based on support vector machine and ant colony algorithm is proposed.Calculate the heat to electricity ratio of electricity generation,with the goal of minimizing fuel costs and network losses,and create a cogeneration power connection network model;Consider elements such as day classification,week classification,and weather classification,use the principle of near large far small to select power data samples,and use support vector machines to predict the power load of cogeneration;Using ant colony algorithm to search for the optimal configuration scheme of power connection network,using roulette wheel mechanism to select the optimal path,introducing the concepts of distance and correlation function in matter element analysis,setting the correlation function value in the branch greater than 0 as the optimal branch,and completing the optimization calculation of cogeneration power connection network.The experimental results demonstrate that the proposed method has achieved good optimization results in multiple test cases,achieving efficient energy utilization,and has important practical application value.
support vector machineant colony algorithmcombined heat and power generationpower wiring networkload forecasting
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