TY - JOUR
T1 - Plug in hybrid vehicle-wind-diesel autonomous hybrid power system
T2 - frequency control using FA and CSA optimized controller
AU - Latif, Abdul
AU - Pramanik, Arup
AU - Das, Dulal Chandra
AU - Hussain, Israfil
AU - Ranjan, Sudhanshu
N1 - Publisher Copyright:
© 2018, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Large integration of renewable energy in hybrid power system in isolated mode of operation make frequency control a challenging task. This paper investigates the performance of Cuckoo Search Algorithm (CSA) and Firefly Algorithm (FA) based frequency control strategy of such a hybrid power system, which is a unique work. The generating units of the system are plug in hybrid vehicle (PHEV), wind turbine generators, a diesel engine generator (DEG) and battery energy storage system (BESS). The proportional plus integral (PI)/proportional integral derivative (PID) controllers are employed with PHEV, DEG and BESS to adjust the total active power generation in accordance to the load demand. Addition of PHEV reduces the reliance on the DEG or BESS as a result of variability and uncertainty of wind power. Different disturbance conditions such as step perturbations, random variations of load as well as wind output power, have been considered in the case studies under Matlab simulation to assess the performance of CSA and FA based control strategy. Analysis indicates that CSA based PID controller provides better response compare to GA, PSO and FA based PI/PID controller and CSA based PI controller. Sensitivity analysis has been carried out to check the robustness of FA and CSA optimized PI/PID controller gains.
AB - Large integration of renewable energy in hybrid power system in isolated mode of operation make frequency control a challenging task. This paper investigates the performance of Cuckoo Search Algorithm (CSA) and Firefly Algorithm (FA) based frequency control strategy of such a hybrid power system, which is a unique work. The generating units of the system are plug in hybrid vehicle (PHEV), wind turbine generators, a diesel engine generator (DEG) and battery energy storage system (BESS). The proportional plus integral (PI)/proportional integral derivative (PID) controllers are employed with PHEV, DEG and BESS to adjust the total active power generation in accordance to the load demand. Addition of PHEV reduces the reliance on the DEG or BESS as a result of variability and uncertainty of wind power. Different disturbance conditions such as step perturbations, random variations of load as well as wind output power, have been considered in the case studies under Matlab simulation to assess the performance of CSA and FA based control strategy. Analysis indicates that CSA based PID controller provides better response compare to GA, PSO and FA based PI/PID controller and CSA based PI controller. Sensitivity analysis has been carried out to check the robustness of FA and CSA optimized PI/PID controller gains.
KW - Battery energy storage system (BESS)
KW - Cuckoo search algorithm (CSA)
KW - Firefly algorithm (FA)
KW - Frequency deviation
KW - Plug in hybrid vehicle (PHEV)
UR - http://www.scopus.com/inward/record.url?scp=85053241163&partnerID=8YFLogxK
U2 - 10.1007/s13198-018-0721-1
DO - 10.1007/s13198-018-0721-1
M3 - Article
AN - SCOPUS:85053241163
SN - 0975-6809
VL - 9
SP - 1147
EP - 1158
JO - International Journal of System Assurance Engineering and Management
JF - International Journal of System Assurance Engineering and Management
IS - 5
ER -
