Load Frequency Control with Communication Topology Changes in Smart Grid
In this paper, the quality of service of communication infrastructure implemented in multiarea power system for load frequency control application is assessed in smart grid environment. In this study, network induced effects time delay, packet loss, bandwidth, quantization, and change in communicati...
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| Veröffentlicht in: | IEEE transactions on industrial informatics 2016-10, Vol.12 (5), p.1943-1952 |
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| container_title | IEEE transactions on industrial informatics |
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| creator | Singh, Vijay P. Kishor, Nand Samuel, Paulson |
| description | In this paper, the quality of service of communication infrastructure implemented in multiarea power system for load frequency control application is assessed in smart grid environment. In this study, network induced effects time delay, packet loss, bandwidth, quantization, and change in communication topology (CT) has been addressed to examine the system performance in closed loop. Uncertainty in time delay is approximated using deterministic and stochastic models. The network is modeled considering different network configurations, i.e., change in CT. The modeled communication network guarantees control relevant properties, i.e., stability. The decentralized controller and linear matrix inequality-based linear quadratic regulator is implemented to reduce the dynamic performance (mean square error of states variables) of power system as CT changes. Simulation results suggest that the proposed scheme of networked control is superior with respect to other design methods available in the literature, and thus robust to communication imperfections. |
| doi_str_mv | 10.1109/TII.2016.2574242 |
| format | Article |
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In this study, network induced effects time delay, packet loss, bandwidth, quantization, and change in communication topology (CT) has been addressed to examine the system performance in closed loop. Uncertainty in time delay is approximated using deterministic and stochastic models. The network is modeled considering different network configurations, i.e., change in CT. The modeled communication network guarantees control relevant properties, i.e., stability. The decentralized controller and linear matrix inequality-based linear quadratic regulator is implemented to reduce the dynamic performance (mean square error of states variables) of power system as CT changes. 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In this study, network induced effects time delay, packet loss, bandwidth, quantization, and change in communication topology (CT) has been addressed to examine the system performance in closed loop. Uncertainty in time delay is approximated using deterministic and stochastic models. The network is modeled considering different network configurations, i.e., change in CT. The modeled communication network guarantees control relevant properties, i.e., stability. The decentralized controller and linear matrix inequality-based linear quadratic regulator is implemented to reduce the dynamic performance (mean square error of states variables) of power system as CT changes. Simulation results suggest that the proposed scheme of networked control is superior with respect to other design methods available in the literature, and thus robust to communication imperfections.</description><subject>Bandwidth</subject><subject>Closed loops</subject><subject>Communication</subject><subject>Communication networks</subject><subject>communication topology (CT)</subject><subject>Computer simulation</subject><subject>Control stability</subject><subject>Delays</subject><subject>Frequency control</subject><subject>Linear matrix inequalities</subject><subject>linear matrix inequality-based linear quadratic regulator (LMI-LQR)</subject><subject>Linear quadratic regulator</subject><subject>load frequency control (LFC)</subject><subject>Phasor measurement units</subject><subject>Power system dynamics</subject><subject>Power system stability</subject><subject>Smart grid</subject><subject>Smart grids</subject><subject>Stochastic models</subject><subject>Time lag</subject><subject>Topology</subject><issn>1551-3203</issn><issn>1941-0050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtLAzEQxoMoWKt3wUvA89bJc7NHKfYBBQ_Wc9jm0aa0m5pskf73prR4mhn4fTPffAg9ExgRAs3bcj4fUSByREXNKac3aEAaTioAAbelF4JUjAK7Rw85bwFYDawZoNkithZPkvs5us6c8Dh2fYo7_Bv6TRn2-2MXTNuH2OFlPMRdXBdm03Zrl3Ho8Ne-TT2epmAf0Z1vd9k9XesQfU8-luNZtficzsfvi8rQhvTFgmf1CtyqbqSXICk13DOQzoI1nEkCQhhGjZLer1oJyhErwAtrpVIGCBui18veQ4rFc-71Nh5TV05qojiUnzlpCgUXyqSYc3JeH1IoXk-agD7npUte-pyXvuZVJC8XSXDO_eM1V6CoZH8CzWVa</recordid><startdate>20161001</startdate><enddate>20161001</enddate><creator>Singh, Vijay P.</creator><creator>Kishor, Nand</creator><creator>Samuel, Paulson</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | Bandwidth Closed loops Communication Communication networks communication topology (CT) Computer simulation Control stability Delays Frequency control Linear matrix inequalities linear matrix inequality-based linear quadratic regulator (LMI-LQR) Linear quadratic regulator load frequency control (LFC) Phasor measurement units Power system dynamics Power system stability Smart grid Smart grids Stochastic models Time lag Topology |
| title | Load Frequency Control with Communication Topology Changes in Smart Grid |
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