SECONDARY VOLTAGE CONTROL BASED ON ADAPTIVE NEURAL PI CONTROLLERS
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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de Colombia
2010
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| author | RUBEN TAPIA |
| author_facet | RUBEN TAPIA |
| contents | SECONDARY VOLTAGE CONTROL BASED ON ADAPTIVE NEURAL PI CONTROLLERS RUBEN TAPIA IVAN RIVAS JUAN M. RAMIREZ ROSA E. CORREA.G Ingeniería Neural networks online training adaptive PI parameters This paper's aim is to present the performance of a Bspline neural network controller to regulate the reactive power provision from synchronous machines. Due to the fact that power systems work with nonstationary parameters and changing settings, adaptive control schemes are preferred. Control technology must ensure its performance in terms of power system¿s operation to address the diversity of loads and the optimal utilization of the available resources. The Bspline neural network is an efficient tool to implement the adaptive control voltage, with the possibility of carrying out this task online taking into account the systems' nonlinearities. The reactive power dispatch is based on the premise that each machine must provide a proportion according to its nominal operating capacity. The applicability of the proposal is demonstrated by simulation on a 9buses 3machines power system. 2010 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49615099021 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.163 Vol.77 |
| format | Artículo científico |
| id | redalyc_49615099021 |
| institution | Redalyc |
| language | en |
| publishDate | 2010 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | SECONDARY VOLTAGE CONTROL BASED ON ADAPTIVE NEURAL PI CONTROLLERS RUBEN TAPIA Ingeniería Neural networks online training adaptive PI parameters SECONDARY VOLTAGE CONTROL BASED ON ADAPTIVE NEURAL PI CONTROLLERS RUBEN TAPIA IVAN RIVAS JUAN M. RAMIREZ ROSA E. CORREA.G Ingeniería Neural networks online training adaptive PI parameters This paper's aim is to present the performance of a Bspline neural network controller to regulate the reactive power provision from synchronous machines. Due to the fact that power systems work with nonstationary parameters and changing settings, adaptive control schemes are preferred. Control technology must ensure its performance in terms of power system¿s operation to address the diversity of loads and the optimal utilization of the available resources. The Bspline neural network is an efficient tool to implement the adaptive control voltage, with the possibility of carrying out this task online taking into account the systems' nonlinearities. The reactive power dispatch is based on the premise that each machine must provide a proportion according to its nominal operating capacity. The applicability of the proposal is demonstrated by simulation on a 9buses 3machines power system. 2010 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49615099021 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.163 Vol.77 |
| title | SECONDARY VOLTAGE CONTROL BASED ON ADAPTIVE NEURAL PI CONTROLLERS |
| topic | Ingeniería Neural networks online training adaptive PI parameters |
| url | https://www.redalyc.org/articulo.oa?id=49615099021 |