Economic dispatch problem is an optimal problem. Proper economic dispatch can bring great economic benefits.
机组负荷分配是电厂中一个典型的优化问题,恰当地在机组间分配负荷可以带来巨大的经济效益。
参考来源 - Hopfield神经网络及其在电厂中的应用研究Finally, the algorithm of Chaos Ant Colony Optimization with scale changes is recommended in solving Economic Dispatch problem for in this case there is no reference for experienced regulations. The experiment shows its effectiveness in accessing the global optimum.
最后,针对无经验规则可循的电力系统负荷优化分配问题提出了变尺度混沌蚁群算法,试验表明,该算法仍可保证有效接近全局最优解。
参考来源 - 蚁群算法在火力发电系统参数优化中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
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Finally, the efficiency of the proposed method is validated by optimizing on benchmark multi-objective functions optimization and power economic dispatch.
最后，通过优化典型多目标优化问题以及电力经济调度模型优化，验证了所提算法的有效性。
With the application of multiobjective programming theory, a small disturbed stability and economic dispatch method has been developed from this new viewpoint.
由此出发，应用多目标规划理论推导出一种小扰动安全-经济调度方法。
Dynamic economic dispatch plays important role in power systems operation and control. Coupling with space and time, it is a complicated optimal decision problem.
动态经济调度在电力系统运行中占据重要作用，这是一个在时间和空间上相互耦合的复杂优化决策问题。
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