基于交替迭代法的AGC与AVC协调优化控制策略研究

针对目前中国电网自动发电控制和自动电压控制系统之间缺乏协调控制、不利于电网安全性和经济性协调统一,且控制指令存在交互影响等问题,定义了面向AGC系统控制性能和AVC系统控制性能的两类"事件",采用事件驱动的方式,提出了一种基于交替迭代法的AGC与AVC协调优化控制策略。根据实际电网的特点,构建了以经济性为最优目标的AGC控制模型,同时考虑控制变量约束及网络安全约束,以经济性和安全性为最优目标的AVC控制模型,利用交替迭代思想和方法修正AGC与AVC的控制参考值,得到满足要求的控制指令下发相应的发电厂和变电站。相应设备的调整实现系统的协调控制,及时消除两类"事件",从而保证电网安全、优质和经济运行。针对实际的内蒙乌海区电网进行计算机仿真,仿真结果证明了所提出的控制策略的可行性和有效性。

智能协调优化策略在预焙铝电解控制中的应用

设计预焙铝电解生产过程先进控制系统的总体结构,针对电解槽有关参数的优化控制和产量质量能耗优化控制问题,提出基于模糊专家控制技术的智能协调优化控制策略以满足全局优化的控制目标.实验结果表明,系统能有效地实现预焙铝电解槽的优化控制,实现槽状态在线解析,并能达到优良的生产控制指标.

Optimal design of coordination control strategy for distributed generation system

This paper presents a novel design procedure for optimizing the power distribution strategy in distributed generation system. A coordinating controller, responsible to distribute the total load power request among multiple DG units, is suggested based on the conception of hierarchical control structure in the dynamic system. The optimal control problem was formulated as a nonlinear optimization problem subject to set of constraints. The resulting problem was solved using the Kuhn-Tucker method. Computer simulation results demonstrate that the proposed method can provide better efficiency in terms of reducing total costs compared to existing methods. In addition, the proposed optimal load distribution strategy can be easily implemented in real-time thanks to the simplicity of closed-form solutions.