基于模拟退火算法的电源规划

针对电源规划最优方案设计问题，利用模拟退火算法和等微增率模型对优化目标进行了合理探讨。为了取得经济上的正确评价，将不同时刻的资金折算为同一时刻的资金进行了比较。在系统峰值负荷增长 30%等条件下规划增装机组的类型和数量，使用模拟退火算法经过多次计算得出一组较优解。为了得到典型日第12 h和第24 h现有系统各机组的最优负荷分配方案，利用等微增率模型进行求解，并采用模拟退火算法提高数据的精度，最终实现了电源规划方案的优化。;Aiming at the optimal design of power supply planning scheme,the simulated annealing algorithm and the equal-increment rate model are used to discuss and solve the optimization target reasonably.In order to obtain a correct economic evaluation,the funds at different times are converted into funds at the same time for comparison.In order to plan the type and number of units under the condition that the peak load of the system increases by 30%,the simulated annealing algorithm is used to obtain a group of better solutions.In order to obtain the optimal load distribution scheme of each unit in the existing system on the 12th and 24th hours of a typical day,the equal increment rate model is used to solve the problem.Then the simulated annealing algorithm is used to determine a group of better solutions.Finally,the design optimalization is realized