A Novel Hybrid Pattern Search-Modified De Optimized Tilt Integral Derivative Controller For AGC using Facts Devices
Dillip Kumar Sahoo1, Rabindra Kumar Sahu2, Tulasichandra Sekhar Gorripotu3, Sidhartha Panda4
1Dillip Kumar Sahoo, EE Department, VSSUT, Burla, Odisha, India.
2Rabindra Kumar Sahu, EE Department, VSSUT, Burla, Odisha, India.
3Tulasichandra Sekhar Gorripotu, EEE Department, SSCE, Srikakulam, Andhra Pradesh, India.
4Sidhartha Panda, EE Department, VSSUT, Burla, Odisha, India.
Manuscript received on 03 August 2019. | Revised Manuscript received on 07 August 2019. | Manuscript published on 30 September 2019. | PP: 3846-3860 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5085098319/2019©BEIESP | DOI: 10.35940/ijrte.C5085.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The article presents, a novel hybrid Pattern Search (PS) and Modified Differential Evolution (MDE) computational method is employed for Automatic Generation Control (AGC) problem of deregulated multi source power system with Tilt-Integral-Derivative (TID) as a secondary controller. Primarily, different control strategies are initiated to tune the gains of TID controller. Then, DE algorithm is modified in terms of step size and crossover probability to improve the performance and effective scheme. In the next step, PS technique is employed to get the best tuned value offered by MDE. After that, Flexible Alternating Current Transmission System (FACTS) Devices are incorporated for further improvement in the results. At the end, sensitivity analysis is performed under varied conditions and the effectiveness of the proposed controller is examined for various random load changes.
Keywords: Automatic Generation Control (AGC), FACTS Devices, Modified Differential Evolution (MDE), Pattern Search (PS), TID Controller.
Scope of the Article: Pattern Recognition