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Statistical analysis of virtual reinforcement capabilities through reactive power control
Distributed generation and changing consumption will lead to under/over-voltages, which may force us to shed loads or to curtail generation. Control can mitigate these extreme actions. Using real data, we want to statistically analyze how modern controllers can virtually enforce the grid.
Keywords: Voltage control, reactive power, renewable generation, distribution grid, data analysis, virtual reinforcement
The renewable energy infeed and the growing amount of consumption poses unprecedented challenges on the power distribution grids. The resulting under- and over-voltages can be avoided or at least mitigated if the reactive power capabilities of power converters connected to the feeder are utilized for controlling the voltage. This is known as virtual grid reinforcement and might avoid the need of building new lines. It was proven that local control strategies are suboptimal and can make the under- or over-voltage worse which means that renewable generation would be curtailed, or loads would be shed. Using communication, the optimality can be recovered at the expense of implementing a communication structure. To make a tradeoff between local/suboptimal control with low complexity and more complex networked/optimal control we want to analyze how often and to what extend voltage violations occur. Furthermore, we want to analyze the benefit that networked controller using communication would have in the distribution grid feeders where voltage violations occur. This analysis is supposed to be based on real measurements and simulations of actual distribution grid feeders.
The renewable energy infeed and the growing amount of consumption poses unprecedented challenges on the power distribution grids. The resulting under- and over-voltages can be avoided or at least mitigated if the reactive power capabilities of power converters connected to the feeder are utilized for controlling the voltage. This is known as virtual grid reinforcement and might avoid the need of building new lines. It was proven that local control strategies are suboptimal and can make the under- or over-voltage worse which means that renewable generation would be curtailed, or loads would be shed. Using communication, the optimality can be recovered at the expense of implementing a communication structure. To make a tradeoff between local/suboptimal control with low complexity and more complex networked/optimal control we want to analyze how often and to what extend voltage violations occur. Furthermore, we want to analyze the benefit that networked controller using communication would have in the distribution grid feeders where voltage violations occur. This analysis is supposed to be based on real measurements and simulations of actual distribution grid feeders.
The tasks of the thesis include:
1. Review of local and networked voltage control algorithms
2. Data analysis and determination of the occurrence of voltage violations
3. Analyses of the benefit of voltage control through reactive power in the scenarios where voltage violation occurred
4. Quantify the performance of networked control strategies based on real data
The tasks of the thesis include:
1. Review of local and networked voltage control algorithms
2. Data analysis and determination of the occurrence of voltage violations
3. Analyses of the benefit of voltage control through reactive power in the scenarios where voltage violation occurred
4. Quantify the performance of networked control strategies based on real data
- Lukas Ortmann, ortmannl@control.ee.ethz.ch
- Dr. Saverio Bolognani, bsaverio@ethz.ch
- Prof. Florian Dörfler, dorfler@control.ee.ethz.ch
- Lukas Ortmann, ortmannl@control.ee.ethz.ch - Dr. Saverio Bolognani, bsaverio@ethz.ch - Prof. Florian Dörfler, dorfler@control.ee.ethz.ch