Performance analysis of automatic generation control of interconnected power systems with delayed mode operation of area control error
| Autor: | Janardan Nanda, Dushyant Sharma, Sukumar Mishra |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
power system interconnection
power generation control thermal power stations hydroelectric power stations particle swarm optimisation dynamic response load management performance analysis automatic generation control AGC interconnected power systems delayed mode operation area control error thermal area hydro area integral controllers supplementary controller actuation step load perturbation wear reduction tear reduction controller gain optimisation loading conditions modified cost function system performance improvement Engineering (General). Civil engineering (General) TA1-2040 |
| Zdroj: | The Journal of Engineering (2015) |
| Druh dokumentu: | article |
| ISSN: | 2051-3305 |
| DOI: | 10.1049/joe.2015.0044 |
| Popis: | This study presents automatic generation control (AGC) of interconnected power systems comprising of two thermal and one hydro area having integral controllers. Emphasis is given to a delay in the area control error for the actuation of the supplementary controller and to examine its impact on the dynamic response against no delay which is usually the practice. Analysis is based on 50% loading condition in all the areas. The system performance is examined considering 1% step load perturbation. Results reveal that delayed mode operation provides a better system dynamic performance compared with that obtained without delay and has several distinct merits for the governor. The delay is linked with reduction in wear and tear of the secondary controller and hence increases the life of the governor. The controller gains are optimised by particle swarm optimisation. The performance of delayed mode operation of AGC at other loading conditions is also analysed. An attempt has also been made to find the impact of weights for different components in a cost function used to optimise the controller gains. A modified cost function having different weights for different components when used for controller gain optimisation improves the system performance. |
| Databáze: | Directory of Open Access Journals |
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