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首页> 外文会议>2016 IEEE Ecuador Technical Chapters Meeting >Prospects of model predictive control of the drum level at a 225 MW combined cycle power plant
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Prospects of model predictive control of the drum level at a 225 MW combined cycle power plant

机译：225 MW联合循环发电厂的汽包水位模型预测控制的前景

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摘要

We report the application of the Model-based Predictive Control (MPC) to improve the performance of the start-up of a 150⊕75 MW combined cycle power plant whose gas turbine is fueled by natural gas. In concrete the simulations have shown that the efficient drum level control is reflected on the improvement of power efficiency in the sense of reaching the 225 MW set point in around 45 minutes faster than the case of PID. Experimental data taken from ordinary runs from power plant was used for ends of system identification which is based on convolution integrals resulting well adjustable to the acquired data. Simulations have demonstrated that the performance of the MPC surpasses to the one of classic PID essentially in two aspects: (i) reducing the time for reaching set point and (ii) avoiding unexpected critical situations during the plant start-up. Results have indicated that the MPC might reduce in up to 45±5 minutes the time of reaching the set point established to be 225MWwithin a computational error of 5%, which is translated as the MPC error of order of 2.5% working as software in plant. All these results might sustain the fact that the MPC based on convolution models appears to be an interesting scheme to optimize the full functionality in power plants whose expected power is ranging between 200 and 250 MW.
机译：我们报告了基于模型的预测控制（MPC）的应用，以改善其燃气轮机以天然气为燃料的150⊕75MW联合循环发电厂的启动性能。具体而言，仿真表明，与PID相比，在大约45分钟内达到225 MW设定点的意义上，有效的滚筒液位控制反映在功率效率的提高上。从发电厂的常规运行中获得的实验数据用于系统识别的末尾，该过程基于卷积积分，从而可以很好地适应所采集的数据。仿真表明，MPC的性能基本上在两个方面超过了经典的PID：（i）缩短了达到设定点的时间；（ii）在工厂启动期间避免了意外的紧急情况。结果表明，MPC可能会在最多45±5分钟内减少达到设定点225MW的时间，而计算误差为5％，这转化为MPC误差为2.5％左右，用作工厂软件。所有这些结果可能会支持这样一个事实，即基于卷积模型的MPC似乎是一种有趣的方案，可以优化预期功率在200至250 MW之间的发电厂的全部功能。

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