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Multi-Input Single Output SSSC based damping controller design by a hybrid Improved Differential Evolution-Pattern Search approach |
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| Affiliation: | 1. Department of Mathematical Sciences, Norwegian University of Science and Technology (NTNU), N-7491 Trondheim, Norway;2. Department of Mathematics, University of Bergen, P.O. Box 7800, N-5020 Bergen, Norway;3. Department of Mathematics, University of Minnesota, 206 Church St SE, Minneapolis, MN 55455, USA;4. Department of Mathematics, Southern Illinois University, Carbondale, Illinois, IL 62901, USA;1. Excellence Center in Logistics and Supply Chain Management, Chiang Mai University, Chiang Mai 50200, Thailand;2. Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand;1. Previously Scientific Services, SANParks, Private bag X402, Skukuza 1350 South Africa;2. Association for Water and Rural Development (AWARD), P.O. Box 1919, Hoedspruit, Limpopo 1340, South Africa;3. Institute for Water Research, Rhodes University, P.O. Box 94, Grahamstown 6140, South Africa;4. Scientific Services, SANParks, P.O. Box 3542, Knysna 6570, South Africa;5. Conservation Management, Kruger National Park, SANParks, Private Bag X402, Skukuza 1350, South Africa;6. Scientific Services, SANParks, Private Bag X1021, Phalaborwa 1390, South Africa |
| Abstract: | In this paper, a hybrid Improved Differential Evolution and Pattern Search (hIDEPS) approach is proposed for the design of a PI-Type Multi-Input Single Output (MISO) Static Synchronous Series Compensator (SSSC) based damping controller. The improvement in Differential Evolution (DE) algorithm is introduced by a simple but effective scheme of changing two of its most important control parameters i.e. step size and crossover probability with an objective of achieving improved performance. Pattern Search (PS) is subsequently employed to fine tune the best solution provided by modified DE algorithm. The superiority of a proposed hIDEPS technique over DE and improved DE has also been demonstrated. At the outset, this concept is applied to a SSSC connected in a Single Machine Infinite Bus (SMIB) power system and then extended to a multi-machine power system. To show the effectiveness and robustness of the proposed design approach, simulation results are presented and compared with DE and Particle Swarm Optimization (PSO) optimized Single Input Single Output (SISO) SSSC based damping controllers. It is observed that the proposed approach yield superior damping performance compared to some approaches available in the literature. |
| Keywords: | Power system stability Static Synchronous Series Compensator (SSSC) Improved Differential Evolution algorithm Pattern Search Multi-Input Single Output controller |
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