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Application of Multi-agent Evolutionary Algorithm for Load Optimal Dispatching among Power Plant Units

机译:多智能体进化算法在电厂机组负荷优化调度中的应用

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This paper deals with load optimal dispatching among power plant units in the context of electric power market competition environment. The multi-agent evolutionary algorithm (MAEA) is specially useful in load optimal dispatching, the model of which is set up based on characteristic curve of the generator coal consumption approached by quadratic function. In particular, the following restraints are considered: power balance, spinning reserve, upper and lower limit, unitȁ9;s suspending times, minimum continuous suspending time and the minimum continuous running time, and power response speed. The proposed MAEA used in the load optimal dispatching among power plant units for the first time is proved to be feasible and efficient in the simulation result of the example.
机译:本文探讨了电力市场竞争环境下电厂机组之间的负荷优化调度。多代理进化算法(MAEA)在负荷优化调度中特别有用,该模型的建立是基于二次函数逼近的发电机用煤量特征曲线。特别要考虑以下限制条件:动力平衡,旋转储备,上限和下限,单位ȁ9的悬挂时间,最小连续悬挂时间和最小连续运行时间以及功率响应速度。在实例仿真结果中,所提出的MAEA首次用于电厂机组间负荷优化调度是可行和有效的。

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