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Multiarea automatic generation control using BBBC tuned several classical controllers in deregulated environment

机译:使用BBBC的多区域自动发电控制在解除管制的环境中调整了几个经典控制器

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This paper presents automatic generation control (AGC) scheme for deregulated multiarea power system. Initially the performance of the several controllers is checked on three equal thermal area with reheat turbine and delay. Further the effectiveness of controllers is also analyzed for unequal four area hydro-thermal power system with non-reheat and reheat turbines. Various market transactions have been considered for load following in deregulated environment. Controller gains are optimized by using a recent and powerful evolutionary computational technique called big bang big crunch (BBBC) technique. Investigations reveal on comparison that Integral (I), proportional-Integral (PI), Integral-Derivative (ID) all provide same response whereas Proportional-Integral-Derivative (PID) controller provides much better response.
机译:本文提出了一种用于多区域管制电力系统的自动发电控制(AGC)方案。最初,在三个相同的热面积上,通过再热汽轮机和延迟来检查几个控制器的性能。此外,还针对具有非再热和再热汽轮机的不等四区域水电热力系统,分析了控制器的有效性。在放松管制的环境中,已经考虑了各种市场交易来进行负荷跟踪。控制器增益通过使用一种最新的,功能强大的进化计算技术(称为“大爆炸”(Big bang big Crunch))来优化。比较研究表明,积分(I),比例积分(PI),积分微分(ID)都提供相同的响应,而比例积分微分(PID)控制器则提供更好的响应。

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