Enhancement of Power Quality in Wind Power Distribution System by using Hybrid PSO-Firefly based DSTATCOM
Abstract
Electricity generation, electric power transmission and final distribution to an electricity meter are some of the processes performed in the industry of electric power. Power quality is an important factor to show the wellness of electric power. Due to the changing behavior of power generation in wind systems, more power quality issues may occur. This paper presents the simulation and analysis of Distribution Static Synchronous Compensator for voltage sag mitigation, harmonic distortion and power factor improvement using the control strategy named hybrid PSO-Firefly algorithm. The hybrid control strategy effectively enhances the performances of Distribution Static Synchronous Compensator in order to provide the faster and dynamic response. By utilizing the novel control strategy the compensation in the proposed work was completely admirable when compared with the existing techniques like proportional integral and derivative controller and proportional integral and derivative-particle swarm optimization control. The reduction of harmonics achieved to a lower percentage as 1.216 in the proposed work. The operation of simulated control method for Distribution Static Synchronous Compensator is performed in MATLAB SIMULINK.
Keywords
Full Text:
PDFReferences
Al-Haddad K (2010) Power quality issues under constant penetration rate of renewable energy into the electric network, IEEE Power Electronics and Motion Control Conference (EPE/PEMC), S11-39.
Bayod-Rujula,AA (2009) Future development of the electricity systems with distributed generation, Energy, 34(3): 377-383.
GhoshA and LedwichG (2012) Power quality
Enhancement using custom power devices, Springer
Science & Business Media.
NemaP, NemaRK and RangnekarS (2009) A current and future state of art development of hybrid energy system using wind and PV-solar: A review, Renewable and Sustainable Energy Reviews, 13(8): 2096-2103.
HuangAQ, CrowML, Heydt,GT,ZhengJP and DaleSJ (2011) The future renewable electric energy delivery and management (FREEDM) system: the energy internet, Proceedings of the IEEE, 99(1):133-148.
AhmedvNA, MiyatakevM, and Al-OthmanvAK (2008) Power fluctuations suppression of stand-alone hybrid generation combining solar photovoltaic/wind turbine and fuel cell systems, Energy Conversion and Management, 49(10): 2711-2719.
GrilloS., MarinelliM, MassuccoS, SilvestroF (2012)Optimal management strategy of a battery-based storage system to improve renewable energy integration in distribution networks, IEEE Transactions on Smart Grid, 3(2): 950-958.
Lund, Henrik (2005) Large-scale integration of wind power into different energy systems, Energy, 30 (13): 2402-2412.
Ullah, RahmatN and ThiringerT. (2007) Variable speed wind turbines for power system stability enhancement, IEEE Transactions on Energy Conversion, 22(1): 52-60.
Swierczyński M,Teodorescu R,Rasmussen CN, RodriguezP and VikelgaardH (2010) Overview of the energy storage systems for wind power integration enhancement, 2010 IEEE International Symposium on Industrial Electronics, 3749-3756.
Heydt, ThomasG.(2010) The next generation of power distribution systems, IEEE Transactions on Smart Grid, 1(3): 225-235.
Johnny Chhor, Pavlos Tourou, Constantinos
Sourkounis 2016, Evaluation of state-based controlled
STATCOM for DFIG-based WECS during voltage
Sags, International Conference on Renewable Energy
Research and Application (ICRERA), 2016, 463-471.
Hasan Ul Banna, Alvaro Luna, Shaoqing Ying,
Hamidreza Ghorbani and Pedro Rodriguez (2014)
Impacts of wind energy in-feed on power system
small signal stability International Conference on
Renewable Energy Research and Application
(ICRERA), 2014, 615- 622.
ShafiullahGM, OoAM, AliAS and WolfsP (2013) Potential challenges of integrating large-scale wind energy into the power grid–A review, Renewable and sustainable energy reviews, 20: 306-321.
Machowski, Jan, BialekJ and BumbyJ (2011) Power system dynamics: stability and control, John Wiley & Sons.
RM Strzelecki, editor, Power electronics in smart electrical energy networks, Springer Science & Business Media, 2008.
An LUO, Qianming XU, Fujun MA, &Yandong CHEN (2016) Overview of power quality analysis and control technology for the smart grid. Journal of Modern Power Systems and Clean Energy, 4(1): 1-9.
Hadjer Dari, Lamine Mehenaoui, Messaoud Ramdani
(2015) An optimized fuzzy controller to capture
Optimal power from wind turbine International
Conference on Renewable Energy Research and
Application (ICRERA), 2015, 815-820.
Shahin Fouladi Panah, Touhid Fouladi Panah, Gadir
Azizi Ghannad (2016) Reactive power compensation
in wind power plant with short circuit in power plant
line via UPFC turbine International Conference on
Renewable Energy Research and Application
(ICRERA), 2016, 173-176.
Han C, Huang AQ, Baran ME, Bhattacharya S, LitzenbergerW, AndersonL, EdrisAA (2008) STATCOM impact study on the integration of a large wind farm into a weak loop power system, IEEE Transactions on Energy conversion, 23(1): 226-233.
Sivakoti, KumarSK, KumarYN and ArchanaD (2011) Power Quality Improvement In Distribution System Using DSTATCOM In Transmission Lines, International Journal of Engineering Research and Applications (IJERA), 1(3): 748-752.
AbdeslamDO, WiraP, J. Mercklé, D. Flieller, and ChapuisYA (2007) A unified artificial neural network architecture for active power filters, IEEE Transactions on Industrial Electronics, 54(1): 61-76.
Bose BK (1994) Expert system, fuzzy logic, and neural network applications in power electronics and motion control, Proceedings of the IEEE, 82(8): 1303-1323.
D Kairous, J.J Beaudoin, R. Wamkeue and M.Ouhrouche(2014) Sliding mode control for voltage source converter applied to wind energy systems International Conference on Renewable Energy Research and Application (ICRERA), 2014, 289-294.
TuritsynK, SulcP, BackhausS and ChertkovM (2011) Options for control of reactive power by distributed photovoltaic generators, Proceedings of the IEEE, 99(6):1063-1073.
JazebiS, HosseinianSH and VahidiB (2011) DSTATCOM allocation in distribution networks considering reconfiguration using differential evolution algorithm, Energy Conversion and Management, 52(7): 2777-2783.
Singh, Alka(2010) Performance Evaluation of Three Different Configurations of DSTATCOM with Nonlinear Loads, IETE Journal of research, 56(6): 313-326.
Farhoodnea M, Mohamed A, Shareef H and Zayandehroodi H (2013) Optimum D-STATCOM placement using firefly algorithm for power quality enhancement, In Power Engineering and Optimization Conference (PEOCO), 98-102.
Asrari, Arash, WuT and LotfifardS (2016) The Impacts of Distributed Energy Sources on Distribution Network Reconfiguration, IEEE Transactions on Energy Conversion, 31: 606 – 613.
Kumar, Chandan and MishraMK (2015) Operation and Control of an Improved Performance Interactive DSTATCOM, IEEE Transactions on Industrial Electronics, 62(10): 6024-6034.
AryaSR, NiwasR, BhallaKK, SinghB, ChandraA, &Al-HaddadK (2015) Power Quality Improvement in Isolated Distributed Power Generating System Using DSTATCOM, IEEE Transactions on Industry Applications, 51(6): 4766-4774.
SrinivasM, HussainI and SinghB (2016) Combined LMS–LMF-based control algorithm of DSTATCOM for power quality enhancement in distribution system, IEEE Transactions on Industrial Electronics, 63(7): 4160-4168.
MahelaOP and ShaikAG (2016) Power quality improvement in distribution network using DSTATCOM with battery energy storage system, International Journal of Electrical Power & Energy Systems, 83: 229-240.
Babu PC, Subramani C, Bayındir R, Dash SS, Mohanty MN (2015) A New Control Strategy with Fuzzy Logic Technique in Distribution System for Power Quality Issues, International Journal of Renewable Energy Research (IJRER), 5(1): 287-293.
Zadeh FH and Naseh MR (2014) Power Quality Improvement in Distributed Generation Resources using UPQC, International Journal of Renewable Energy Research (IJRER), 4(3): 795-800.
Amalorpavaraj RAJ, Palanisamy K, Umashankar S and Thirumoorthy AD (2016) Power Quality Improvement of Grid Connected Wind Farms through Voltage Restoration Using Dynamic Voltage Restorer, International Journal of Renewable Energy Research (IJRER), 6(1): 53-60.
CelikAN, MuneerT and ClarkeP. (2007) An investigation into micro wind energy systems for their utilization in urban areas and their life cycle assessment, Journal of Power and Energy Proceedings of the Institution of Mechanical Engineers, Part A, 221(8): 1107-1117.
Sharma, Ankush(2014) Power Quality Improvement for D-Statcom in Distribution System, International Journal of Innovative Research and Development, 3(9).
Ghosh, Arindam and LedwichG. (2003) Load
compensating DSTATCOM in weak AC systems,
IEEE Transactions on Power Delivery, 18(4): 1302-
Pal, SaibalK, RaiCS and SinghAP (2012) Comparative study of firefly algorithm and particle swarm optimization for noisy non-linear optimization problems, International Journal of Intelligent Systems and Applications, 4(10):50.
DOI (PDF): https://doi.org/10.20508/ijrer.v8i2.7002.g7400
Refbacks
- There are currently no refbacks.
Online ISSN: 1309-0127
Publisher: Gazi University
IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);
IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.
WEB of SCIENCE in 2025;
h=35,
Average citation per item=6.59
Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43
Category Quartile:Q4