考虑GDB和GRC非线性效应的互联多源电力系统AGC

J. Morsali, K. Zare, M. T. Hagh
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引用次数: 9

摘要

研究了两区多源互联电力系统的自动发电控制问题。每个控制区域包括来自再热、热、气和水力装置的代。采用合适的动态模型对再热机组调速器死区(GDB)效应的物理约束和再热机组发电速率约束(GRC)进行了仿真。本文表明,不考虑这些问题的AGC动态性能评价不能得到准确和真实的结果。一个简单的积分(I)控制器被认为是二次负载频率控制器(LFC)回路。LFC设计是一个优化问题,该优化问题是通过改进的粒子群优化算法(IPSO)来调整I控制器,使时间乘平方误差(ITSE)性能指标的积分最小。在阶跃、正弦和随机载荷扰动模式下对LFC性能进行了评估。为了证明所提出方法的鲁棒性,在各种不确定性情景下进行了敏感性分析。所有仿真均在MATLAB/SIMULINK环境下进行。并与不考虑GDB和GRC非线性效应的情况进行了比较。结果表明,在不确定条件下,考虑GRC和GDB时,振动没有得到有效的抑制,甚至有所增加。
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AGC of interconnected multi-source power system with considering GDB and GRC nonlinearity effects
In this paper, automatic generation control (AGC) problem of an interconnected two-area multi-source power system is investigated. Each control area includes generations from reheat thermal, gas, and hydro units. Appropriate dynamic models are used for simulation of physical constraints of governor dead band (GDB) effect in the reheat thermal and generation rate constraint (GRC) in the reheat thermal and hydro generating units. This paper demonstrates that evaluating the dynamic performance of AGC without regarding these issues does not show precise and realistic results. A simple integral (I) controller is considered as secondary load frequency controller (LFC) loop. The LFC design is formulated as an optimization problem in which integral of time multiplied squared error (ITSE) performance index is minimized by an improved particle swarm optimization (IPSO) algorithm to adjust I controller. The LFC performance is evaluated under step, sinusoidal and random load perturbation patterns. To show the robustness of the proposed approach, sensitivity analyses are performed under various uncertainty scenarios. All simulations are performed in MATLAB/SIMULINK environment. The results are compared with the case of without considering the GDB and GRC non-linearity effects. The results demonstrate that with considering the GRC and GDB, the oscillations are not damped effectively and even they are increasing under uncertainty conditions.
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