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| Content Provider | IET Digital Library |
|---|---|
| Author | Sayadi, Fahimeh Esmaeili, Saeid Keynia, Farshid |
| Abstract | A two-layer control method is proposed for voltage and reactive power control in harmonic polluted distribution network with penetration of photovoltaic (PV) systems. Optimal scheduling of load tap changer and shunt capacitors for minimising energy losses and improving the power quality simultaneously are performed using P-particle swarm optimisation (PSO) optimisation method. Here, the minimising cost of real power losses and improving the power quality criteria have been pursued as the goals of an optimisation problem. Considering load and PVs output forecast, the first-layer control determines the optimal reactive power and control settings for all mechanical controllers. Hourly errors of load and power forecasts and mechanical control setting of the first layer are used to estimate optimised reactive power of PV in order to achieve maximum voltage regulation, reduce network losses and total harmonic distortion (THD). These data are trained a neural network (NN) to estimate optimised PV reactive power. This NN in the second layer is used to optimise the online reactive power setting based on online PV power. For more practical applications of the proposed method, simulation is carried out in a large distorted 37-bus distribution system. The algorithm will increase use of renewable energies, reduce voltage fluctuations, THD, and wear and tear of mechanical equipment. |
| Starting Page | 2130 |
| Ending Page | 2137 |
| Page Count | 8 |
| ISSN | 17518687 |
| Volume Number | 11 |
| e-ISSN | 17518695 |
| Issue Number | Issue 8, Jun (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/11/8 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2016.1440 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2017-04-04 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Control of Electric Power System Distribution Network Energy Loss Minimization Harmonic Distortion Harmonic Polluted Distribution Network Harmonics Large Distorted 37-bus Distribution System Load Forecast Error Load Forecasting Load Tap Changer Optimal Scheduling Mechanical Controller Mechanical Equipment Network Loss Reduction Neural Network Neurocontrol Neurocontrollers Optimisation Technique P-particle Swarm Optimisation Method Particle Swarm Optimisation Photovoltaic Power System Power And Energy Control Power Distribution Control Power Generation Scheduling Power Loss Power Quality Criteria Power Supply Quality Power System Control Power System Planning And Layout PSO Method PV System Penetration PVs Output Forecasting Reactive Power Control Shunt Capacitor Solar Power Stations THD Two-layer Volt-var-total Harmonic Distortion Control Voltage Control Voltage Fluctuation Reduction Voltage Power Control Voltage Regulation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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