Interaction of combined cycle power plant (CCPP) and power system at two levels of performance optimization

2014 5th Conference on Thermal Power Plants (CTPP) Pub Date : 2014-06-10 DOI:10.1109/CTPP.2014.7040605

H. Mokhtari, A. Sarajian

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引用次数: 5

Abstract

In this paper, considering two different scenarios, combined cycle power plant was optimized to reduce total system costs. In the first scenario, parameters of combined cycle power plant were optimized based on power system constraints. But, in the second scenario, they were optimized considering constraints of the power plant. Cost function of power plants includes consumable fuel price (natural gas), maintenance and repair cost and exergy destruction cost, which was fitted with a quadratic equation in this investigation. In both scenarios, combined cycle power plants were optimized by genetic algorithm based on two objective functions of total exergy efficiency of power plant and price function of generated power. The results obtained from these two scenarios showed that the second scenario introduced more optimized cost function than the first one. As a result, calculating cost function of power plant apart from the power system reduced costs of combined cycle power plant and total system and applying constraints of the power system to power plants discharged them from their optimized function and increased the costs.

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联合循环电厂与电力系统在两个性能优化层次上的相互作用

本文考虑了两种不同的方案，对联合循环电厂进行了优化，以降低系统总成本。在第一种情况下，根据电力系统约束条件对联合循环电厂的参数进行优化。但是，在第二种情况下，考虑到发电厂的约束，它们被优化了。发电厂的成本函数包括可消耗燃料价格(天然气)、维护维修成本和火用破坏成本，本研究将其拟合为二次方程。在这两种情况下，采用基于电厂总火用效率和发电价格函数两个目标函数的遗传算法对联合循环电厂进行优化。两种方案的结果表明，第二种方案比第一种方案引入了更优化的成本函数。因此，在电力系统之外计算电厂的成本函数降低了联合循环电厂和整个系统的成本，而将电力系统的约束施加到电厂上，使电厂偏离了优化后的功能，增加了成本。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2014 5th Conference on Thermal Power Plants (CTPP)

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