摘要
针对水电站厂级自动发电控制(AGC)中的经济运行问题,采用蚁群算法求解,所建模型综合考虑了功率平衡、机组出力约束、旋转备用和机组开停机时间约束等多重安全运行限制条件,并根据等微增率原则导出经济负荷分配公式嵌入并行随机搜索模式中,减少负荷分配时的迭代次数。算例中的机组耗量特性曲线根据实际数据采用二次曲线拟合。仿真结果表明,该方法既带有智能算法搜索的随机性又具有传统算法的稳定性,优化速度快且精度较高。
Ant colony algorithm for economic operation in the automatic generation control of hydropower plant level is presented in the paper. The model considers multiple safety operation conditions, such as the power balance, unit out- put constraints, spinning reserve and unit up-down time. According to the equal incremental principle, the formula of eco- nomic dispatch is deduced. Then the formula is embedded into the parallel random search mode to reduce the numbers of iteration in the process of load dispatch. The quadratic curve is used to fit the characteristic curve of the unit consumption based on actual data in the experiment. The simulation results show that the method not only has randomness of intelli- gent algorithm but also has stability of the traditional algorithm, which has fast speed and high precision in optimization process.
出处
《水电能源科学》
北大核心
2012年第12期123-126,共4页
Water Resources and Power
