Abstract
Isolated hybrid power systems (HPSs) with coordinated control of renewable energy sources (RESs) and energy storage devices (ESDs) with appropriate control techniques are studied in this paper for load frequency stabilization. The solar thermal power generation and photovoltaic systems are used as the primary source of generation in the designed test systems. The ESDs used are double-layer capacitor (DLC), ultra-capacitor (UC) and compressed air energy storage as per the designed test system to effectively supply insufficient energy of power generation in a short time. In the designed test system, it is assumed that UC transfers energy to the load side during adequate insolation. Whenever the same may not meet the load demand, DLC provides power to meet the remaining load demand. In one of the designed test systems, load frequency characteristics of the HPS model are carried out with high-voltage direct current link feeding to isolated load. The contribution of this work is the hybridization of RESs with ESDs with appropriate controller and applied control strategy. In the studied system, a proportional-integral-derivative controller is employed and its parameters are tuned by a nature-inspired moth flame optimization technique. The system dynamic performance with different operating conditions is carried out. Both the qualitative and the quantitative aspects show better performance of HPS models under study using the proposed technique.
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Abbreviations
- AGC:
-
Automatic generation control
- CAES:
-
Compressed air energy storage
- DLC:
-
Double-layer capacitor
- ESD:
-
Energy storage device
- FOD:
-
Figure of demerit
- GRC:
-
Generation rate constraint
- GA:
-
Genetic algorithm
- GWO:
-
Gray wolf optimizer
- HPS:
-
Hybrid power system
- HVDC:
-
High-voltage direct current
- IAE:
-
Integral of absolute error
- ISE:
-
Integral of square error
- ITAE:
-
Integral of time absolute error
- ITSE:
-
Integral of time square error
- LFC:
-
Load frequency control
- MVO:
-
Moth flame optimization
- PSO:
-
Particle swarm optimization
- PV:
-
Photovoltaic
- PID:
-
Proportional-integral-derivative
- RESs:
-
Renewable energy sources
- SLP:
-
Step load perturbation
- STPG:
-
Solar thermal power generation
- UC:
-
Ultra-capacitor
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Appendix
Appendix
1.1 A. 1. Parameters of Studied Test System
The parameters of the studied test system are featured in Table 9.
1.2 A. 2. System Sources and Operating Conditions
System sources and operating conditions for the simulation study are presented in Table 10.
1.3 A.3. Parameters of GA
Number of parameters depends on problem variables (AGC configuration), number of bits = (number of parameters)*8, population size = 50, maximum number of iteration cycles = 100, mutation rate = 0.04, crossover rate = 80%.
1.4 A.4. Parameters of MVO
Number of parameters depends on problem variables (AGC configuration), population size = 50, maximum number of iteration cycles = 100.
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Mudi, J., Shiva, C.K., Vedik, B. et al. Frequency Stabilization of Solar Thermal-Photovoltaic Hybrid Renewable Power Generation Using Energy Storage Devices. Iran J Sci Technol Trans Electr Eng 45, 597–617 (2021). https://doi.org/10.1007/s40998-020-00374-w
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DOI: https://doi.org/10.1007/s40998-020-00374-w