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| Content Provider | IET Digital Library |
|---|---|
| Author | Dutta, Arunima Ganguly, Sanjib Kumar, Chandan |
| Abstract | This study presents a model predictive control (MPC)-based centralised control approach for maintaining the voltages of the nodes within permissible limits in the presence of high photovoltaic (PV) penetration. The proposed control scheme coordinates the actions of on-load tap changer (OLTC) and PV inverters optimally to fulfil the desired objectives. The objectives are minimisation of change in control variables, slack variables, energy loss, and voltage error. These objectives are weighted to form the overall objective function. Three rules are formulated based on the severity of voltage magnitudes. The weights of the objectives are adjusted according to these pre-defined rules. Simulations are performed in an active distribution network (ADN) integrated with and without microgrids, where both demands and generations vary hourly over the day. As power is injected by the microgrids during most of the time of the day, the excursions of node voltages are slightly higher in the microgrids integrated ADN. Moreover, the incorporation of the proposed rule-based MPC drastically reduces the energy loss due to active power loss in distribution networks, as is evident from the simulation results obtained by comparing the proposed approach with an existing MPC-based approach. |
| Starting Page | 5183 |
| Ending Page | 5192 |
| Page Count | 10 |
| ISSN | 17518687 |
| Volume Number | 14 |
| e-ISSN | 17518695 |
| Issue Number | Issue 22, Nov (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/14/22 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0378 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2020-06-02 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Active Distribution Network Active Power Loss ADN Centralised Control Centralised Control Approach Control of Electric Power System Control Variables Distributed Power Generation Distribution Network Energy Loss Invertors Microgrid System Model Predictive Control Node Voltage OLTC On Load Tap Changers On-load Tap Changer Optimal Control Optimal Voltage Regulation Optimisation Optimisation Technique Photovoltaic Penetration Photovoltaic Power System Power Distribution Control Power Electronics Power Generation Control Power Supply Power System Control Predictive Control PV Inverter Reactive Power Reactive Power Capability Rule-based MPC Slack Variables Solar Power Stations Supervisory Circuit Transformer And Reactors Voltage Control Voltage Error Voltage Magnitudes |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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