Application of Moth Flame Optimization Algorithm for AGC of Multi-Area Interconnected Power Systems

Application of Moth Flame Optimization Algorithm for AGC of Multi-Area Interconnected Power Systems

Ajit Kumar Barisal (VSS University of Technology, Burla, India) and Deepak Kumar Lal (Veer Surendra Sai University of Technology, Burla, India)
Copyright: © 2018 |Pages: 28
DOI: 10.4018/IJEOE.2018010102


A novel attempt has been made to use Moth Flame Optimization (MFO) algorithm to optimize PI/PID controller parameters for AGC of power system. Four different power systems are considered in the present article. Initially, a two area thermal power system is considered for simulation. The superiority of the proposed MFO optimized PI/PID controller has been demonstrated by comparing the results with recently published approaches such as conventional, GA, BFOA, DE, PSO, Hybrid BFOA-PSO, FA and GWO algorithm optimized PI/PID controller for the same power system model. Then, a sensitivity analysis is carried out to study the robustness of the system to wide changes in the operating conditions and system parameters from their nominal values. The proposed approach is extended to different realistic multi-area multi-source power systems with diverse sources of power generations for simulation study. The acceptability and efficacy of the proposed technique is demonstrated by comparing with other recently published techniques.
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An electric power system consists of several areas and interconnected through tie-lines. It consists of several generating units and loads in each area. The generating units operate at a nominal frequency for successful operation. A frequency deviation is a direct result of the imbalance between the electrical power generations with total load demand and associated system losses (Elgerd, 2008; Bervani & Hiyama, 2011; Kothari & Nagrath, 2011). Depending on the diversity of frequency deviation range, in addition to the natural governor response known as the primary control, the supplementary or secondary control and emergency control may also be required to maintain power system frequency (Bervani & Hiyama, 2011). In normal operation, the small frequency deviations can be damped out by the primary control loop. For larger frequency deviations, according to the available amount of power reserve, the secondary control loop i.e. automatic generation control (AGC) is responsible for restoring system frequency to nominal value. However, for a serious imbalance between generated power and load demand associated with rapid frequency changes following a significant fault, the AGC system may be unable to restore frequency. In this situation, the emergency control and protection schemes must be used to decrease the risk of cascade faults, additional generation events, load/network, and separation events. Thus, the function of AGC is to maintain frequency and tie-line power close to the scheduled values under normal operation and small load perturbations.

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