Optimal Scheduling of Pumping Stations Based on Improved Artificial Electric Field Algorithm
Aiming at the problem of low operating efficiency and high energy consumption of large pumping stations in China,considering the loss of motor and frequency converter,combined with time-of-use electricity price,a model of minimumdaily operating tariff of pumping sta-tions was established,and artificial electric field algorithm(AEFA)was adopted to solve it.Due to the calculation method for the original gravitational constant leads to premature algorithms and a tendency to fall into local optima,chaotic mapping was introduced for improving the algorithm.Combined with the calculation and solution of a pump station project in Shanxi Province,the results show that the energy saving rate of the artificial electric field algorithm optimization scheme can reach 5.7%-11.3%compared with the actual operation scheme,and the energy saving rate of the improved artificial electric field algorithm optimization scheme can reach 9.9%-28.4%compared with the actual op-eration scheme.After the improvement of the algorithm,the calculation accuracy,stability and calculation time are better.
artificial electric field algorithmchaotic mappinggravitational constantpumping station optimization scheduling
国家科技期刊平台
NSTL
万方数据
