Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models
Abstract
:1. Introduction
2. ARMA-Based Power Forecasting Model
3. Two-Tier Reactive Power and Voltage Control Strategy
3.1. The First Tier Control Strategy
3.2. The Second Tier Control Strategy
3.2.1. The Index of Voltage Deviation
3.2.2. The Index of the Voltage Stability Margin
3.2.3. The Reactive Power Margin of the Dynamic Reactive Power Compensation Equipment
3.2.4. The Objective Function
3.3. Constraint Condition
3.3.1. Equality Constraints
3.3.2. Inequality Constraints
4. Reactive Power Limit of the Wind Farm and PV Power Station
5. Model Solution
- STEP1: Initialize the size of PSO algorithm population N, the weight coefficient ω and so on;
- STEP2: Calculate the fitness value of each particle, and then, the individual optimal value Pbest and the global optimal value Gbest can be obtained;
- STEP3: Update the position and velocity of each particle;
- STEP4: Stop the search if the stop condition is satisfied; else, go to step 2; and
- STEP5: Check if the data is reasonable. If the data is reasonable, execute the control strategy; if not, calculate again.
6. Simulation Analysis
6.1. The Establishment of Time Series Model Based on ARMA
6.2. Test System
- Method 1: No forecasting for the output of wind farm and PV power station. The objective function is to minimize of voltage deviation. The wind farm and PV power stations operate at unity power factor. The control cycle is 15 min.
- Method 2: The control strategy proposed in this paper is applied. The power factor of wind farm and PV power station varies between −0.95 and 0.95. The control cycle is 15 min.
6.3. Simulation Results
6.4. Analysis of Voltage
7. Conclusions
- The proposed control strategy can improve the reactive power margin of dynamic devices and suppress the voltage fluctuation; and
- The proposed control strategy can improve the system voltage stability margin and the voltage stability, as well.
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Lu, J.; Wang, B.; Ren, H.; Zhao, D.; Wang, F.; Shafie-khah, M.; Catalão, J.P.S. Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models. Energies 2017, 10, 1518. https://doi.org/10.3390/en10101518
Lu J, Wang B, Ren H, Zhao D, Wang F, Shafie-khah M, Catalão JPS. Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models. Energies. 2017; 10(10):1518. https://doi.org/10.3390/en10101518
Chicago/Turabian StyleLu, Jinling, Bo Wang, Hui Ren, Daqian Zhao, Fei Wang, Miadreza Shafie-khah, and João P. S. Catalão. 2017. "Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models" Energies 10, no. 10: 1518. https://doi.org/10.3390/en10101518