Pub Date : 2019-09-18DOI: 10.1504/ijpec.2019.10024034
Y. Errami, A. Obbadi, S. Sahnoun, M. Ouassaid, M. Maaroufi
This paper presents a nonlinear control strategy to track the maximum power point for 4 MW-WFS based on Permanent Magnet Synchronous Generator (PMSG) and interconnected to the electrical network. The control schemes are based on nonlinear Backstepping theory to control both PMSG and grid-side converters of a WFS. The main objective of this control is to regulate the velocities of the PMSGs with Maximum Power Point Tracking (MPPT). Besides, the grid-side converter is used to control the dc link voltage and to regulate the power factor at varying wind velocity. The stability of the regulators is obtained using Lyapunov analysis. The simulation results through MATLAB/Simulink are presented and discussed to demonstrate the validity and efficiency of the proposed methodology. Finally, a comparison of results based on the proposed Backstepping approach and conventional Proportional Integral (PI) regulator is provided for different grid voltage conditions and under parameter deviations.
{"title":"Performance evaluation of backstepping approach for wind power generation system-based permanent magnet synchronous generator and operating under non-ideal grid voltages","authors":"Y. Errami, A. Obbadi, S. Sahnoun, M. Ouassaid, M. Maaroufi","doi":"10.1504/ijpec.2019.10024034","DOIUrl":"https://doi.org/10.1504/ijpec.2019.10024034","url":null,"abstract":"This paper presents a nonlinear control strategy to track the maximum power point for 4 MW-WFS based on Permanent Magnet Synchronous Generator (PMSG) and interconnected to the electrical network. The control schemes are based on nonlinear Backstepping theory to control both PMSG and grid-side converters of a WFS. The main objective of this control is to regulate the velocities of the PMSGs with Maximum Power Point Tracking (MPPT). Besides, the grid-side converter is used to control the dc link voltage and to regulate the power factor at varying wind velocity. The stability of the regulators is obtained using Lyapunov analysis. The simulation results through MATLAB/Simulink are presented and discussed to demonstrate the validity and efficiency of the proposed methodology. Finally, a comparison of results based on the proposed Backstepping approach and conventional Proportional Integral (PI) regulator is provided for different grid voltage conditions and under parameter deviations.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41864064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-18DOI: 10.1504/ijpec.2019.10024035
M. Sahani
The main purpose of this paper is to detect the power quality events (PQEs) by empirical wavelet transform (EWT) and classify by error minimised extreme learning machine (EMELM). Empirical wavelet transform (EWT) is used to analyse the non-stationary power quality event signals by multi-resolution analysis (MRA). Here, the disturbance energy index feature vector of different electric power supply signals have been acquired by applying the EWT on all the spectral components and to analyse the overall efficiency of the proposed method on both ideal and noisy environments, three types of PQ event data sets are constructed by accumulating the noise of 25, 35 and 45 dB. Extreme learning machine (ELM) is an advanced and efficient classifier, which is implemented to recognise the single as well as multiple PQ fault classes. Based on very high performance under ideal and noisy environment, the new EWT-EMELM method can be implemented in real electrical power systems. The feasibility of proposed method is tested by simulation to verify its cogency.
{"title":"Detection and classification of power quality events using empirical wavelet transform and error minimised extreme learning machine","authors":"M. Sahani","doi":"10.1504/ijpec.2019.10024035","DOIUrl":"https://doi.org/10.1504/ijpec.2019.10024035","url":null,"abstract":"The main purpose of this paper is to detect the power quality events (PQEs) by empirical wavelet transform (EWT) and classify by error minimised extreme learning machine (EMELM). Empirical wavelet transform (EWT) is used to analyse the non-stationary power quality event signals by multi-resolution analysis (MRA). Here, the disturbance energy index feature vector of different electric power supply signals have been acquired by applying the EWT on all the spectral components and to analyse the overall efficiency of the proposed method on both ideal and noisy environments, three types of PQ event data sets are constructed by accumulating the noise of 25, 35 and 45 dB. Extreme learning machine (ELM) is an advanced and efficient classifier, which is implemented to recognise the single as well as multiple PQ fault classes. Based on very high performance under ideal and noisy environment, the new EWT-EMELM method can be implemented in real electrical power systems. The feasibility of proposed method is tested by simulation to verify its cogency.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42237112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-12DOI: 10.1504/ijpec.2019.10023887
I. Tabet, Khaled Touafek, N. Bouarroudj, N. Bellel, A. Khelifa
Using concentrators to the output of hybrid photovoltaic thermal (PV/T) solar collectors has been proven cost effective. Flat reflectors offer a simpler, reliable and cheap solution to increase the amount of solar radiations that fall on the solar collector. They provide a uniform concentration of solar radiation over the PV/T collector and prevent a hot-spot phenomenon. In this study, an optimisation of planer's tilts angles reflectors for solar hybrid photovoltaic thermal (PV/T) air collector by implementing the particle swarm optimisation (PSO) method is done. The PV/T air solar collector is south oriented with tilted at site latitude angle. Then the total incident solar radiation on the PV/T air collector surface is estimated. An experimental test was conducted in the southern region of Algeria on a prototype of the hybrid PV/T air collector, with two reflectors mounted on the lower and upper parts of the PV/T air collector. A 9%-19% increase in quantity of solar radiation incidents on the PV/T air collector was observed with the addition of planer reflectors. The adding reflectors and cooling system causes a 7%-30% increase in the current and voltage of the PV module.
{"title":"Optimisation of planer's tilts angles reflectors for solar hybrid photovoltaic thermal air collector","authors":"I. Tabet, Khaled Touafek, N. Bouarroudj, N. Bellel, A. Khelifa","doi":"10.1504/ijpec.2019.10023887","DOIUrl":"https://doi.org/10.1504/ijpec.2019.10023887","url":null,"abstract":"Using concentrators to the output of hybrid photovoltaic thermal (PV/T) solar collectors has been proven cost effective. Flat reflectors offer a simpler, reliable and cheap solution to increase the amount of solar radiations that fall on the solar collector. They provide a uniform concentration of solar radiation over the PV/T collector and prevent a hot-spot phenomenon. In this study, an optimisation of planer's tilts angles reflectors for solar hybrid photovoltaic thermal (PV/T) air collector by implementing the particle swarm optimisation (PSO) method is done. The PV/T air solar collector is south oriented with tilted at site latitude angle. Then the total incident solar radiation on the PV/T air collector surface is estimated. An experimental test was conducted in the southern region of Algeria on a prototype of the hybrid PV/T air collector, with two reflectors mounted on the lower and upper parts of the PV/T air collector. A 9%-19% increase in quantity of solar radiation incidents on the PV/T air collector was observed with the addition of planer reflectors. The adding reflectors and cooling system causes a 7%-30% increase in the current and voltage of the PV module.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42699756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-11DOI: 10.1504/ijpec.2019.10023886
Chayan Bhattacharjee, B. K. Roy
This paper demonstrates a novel fuzzy-supervisory control algorithm for power extraction and management in a grid-tied low concentration photovoltaic (LCPV) system with battery energy storage system (BESS). The novelty of this paper lies in avoiding dump load (DL) at the dc link, to regulate dc link voltage (Vdc) under all conditions, with an increase in power dispatch. This increases system efficiency and lessen power extraction from BESS. The supervisory controller directs all converters and maintains power balance at the dc link. Enhanced reactive power (Q) support of the grid inverter during a grid fault is controlled by using the magnitude of grid voltage sag. This control prevents islanding of the dc micro-grid as per the Indian grid code. Variation in duty cycle of the converter for optimum power extraction from LCPV generator is done by using fuzzy logic. Power references of converters depend on different operational modes and grid condition.
{"title":"Supervisory control using fuzzy logic for fault ride-through capability of a hybrid system in grid supporting mode","authors":"Chayan Bhattacharjee, B. K. Roy","doi":"10.1504/ijpec.2019.10023886","DOIUrl":"https://doi.org/10.1504/ijpec.2019.10023886","url":null,"abstract":"This paper demonstrates a novel fuzzy-supervisory control algorithm for power extraction and management in a grid-tied low concentration photovoltaic (LCPV) system with battery energy storage system (BESS). The novelty of this paper lies in avoiding dump load (DL) at the dc link, to regulate dc link voltage (Vdc) under all conditions, with an increase in power dispatch. This increases system efficiency and lessen power extraction from BESS. The supervisory controller directs all converters and maintains power balance at the dc link. Enhanced reactive power (Q) support of the grid inverter during a grid fault is controlled by using the magnitude of grid voltage sag. This control prevents islanding of the dc micro-grid as per the Indian grid code. Variation in duty cycle of the converter for optimum power extraction from LCPV generator is done by using fuzzy logic. Power references of converters depend on different operational modes and grid condition.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44339115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-11DOI: 10.1504/ijpec.2019.10023890
Mustapha Jamma, A. Bennassar, M. Akherraz, M. Barara
This research aims to present a novel direct power control (DPC) strategy of three-phase PWM AC/DC converters. In this strategy, the regulation of the dc-bus voltage is based on nonlinear sliding mode controller (SMC), the control of the instantaneous active and reactive power is performed by fuzzy logic controllers (FLC) and also the artificial neural networks (ANN) approach is used to select the switching states of PWM AC/DC converter. The sliding mode control is an effective tool to minimise disturbances. Nevertheless, the chattering phenomenon depicts a major problem for variable structure systems (VSS). To overcome this drawback, a saturation function is employed to decrease chattering effects. The proposed method allows, on the one hand, to steer the dc-bus voltage, the instantaneous active and reactive power to their reference values. On the other hand, it enables to reduce the harmonic disturbances, the power ripples and to realise a unity power factor (UPF) operation. Simulation results are provided to confirm the efficiency, the robustness and the performances of the proposed DPC scheme in different conditions of simulation.
{"title":"Direct power control of three-phase PWM AC/DC converter based on intelligent approach with dc-bus voltage regulation using sliding mode controller","authors":"Mustapha Jamma, A. Bennassar, M. Akherraz, M. Barara","doi":"10.1504/ijpec.2019.10023890","DOIUrl":"https://doi.org/10.1504/ijpec.2019.10023890","url":null,"abstract":"This research aims to present a novel direct power control (DPC) strategy of three-phase PWM AC/DC converters. In this strategy, the regulation of the dc-bus voltage is based on nonlinear sliding mode controller (SMC), the control of the instantaneous active and reactive power is performed by fuzzy logic controllers (FLC) and also the artificial neural networks (ANN) approach is used to select the switching states of PWM AC/DC converter. The sliding mode control is an effective tool to minimise disturbances. Nevertheless, the chattering phenomenon depicts a major problem for variable structure systems (VSS). To overcome this drawback, a saturation function is employed to decrease chattering effects. The proposed method allows, on the one hand, to steer the dc-bus voltage, the instantaneous active and reactive power to their reference values. On the other hand, it enables to reduce the harmonic disturbances, the power ripples and to realise a unity power factor (UPF) operation. Simulation results are provided to confirm the efficiency, the robustness and the performances of the proposed DPC scheme in different conditions of simulation.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46174515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-11DOI: 10.1504/ijpec.2019.10023888
P. Acharjee
For the planning, operation and design of the modern power systems, the effect of the network reconfiguration of the identified weaker lines are nowadays investigated. Gradually increasing the load, saddle-node bifurcation (SNB) is determined using modified continuation power flow (MCPF) algorithm. Judging three different sets of the security limits, the weaker buses are detected from the power flow solution at the SNB point. The three different reconfigurations are implemented on the identified weaker lines for the standard IEEE-14, 30 and 57-bus test systems separately. The optimal location and the suitable lines for the reconfiguration are demonstrated with the results. Using the network reconfiguration, the significant improvement of the SNB points or load margin, weaker buses, voltage profile, line losses for the different cases are proved showing results.
{"title":"Improvement of the line losses, weaker buses and saddle-node-bifurcation points using reconfigurations of the identified suitable lines","authors":"P. Acharjee","doi":"10.1504/ijpec.2019.10023888","DOIUrl":"https://doi.org/10.1504/ijpec.2019.10023888","url":null,"abstract":"For the planning, operation and design of the modern power systems, the effect of the network reconfiguration of the identified weaker lines are nowadays investigated. Gradually increasing the load, saddle-node bifurcation (SNB) is determined using modified continuation power flow (MCPF) algorithm. Judging three different sets of the security limits, the weaker buses are detected from the power flow solution at the SNB point. The three different reconfigurations are implemented on the identified weaker lines for the standard IEEE-14, 30 and 57-bus test systems separately. The optimal location and the suitable lines for the reconfiguration are demonstrated with the results. Using the network reconfiguration, the significant improvement of the SNB points or load margin, weaker buses, voltage profile, line losses for the different cases are proved showing results.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43082886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-11DOI: 10.1504/ijpec.2019.10023889
S. Agrawal, D. K. Palwalia
This paper describes a synchronisation technique to track phase and frequency of input signal under abnormal grid condition like frequency variation. Proposed control topology consist of a conventional synchronous reference frame phase locked loop (SRF PLL) type-2 along with a feed forward frequency estimator loop with selective harmonic filtering technique. It eliminates phase and frequency error under wide frequency deviation. Phase error is fed into proportional integral regulator which reduces it to zero. It is observed that faster and better dynamic performance is achieved by frequency estimator with higher stability margin. The stability is evaluated by bode plot. An estimated frequency is smooth and close to fundamental frequency as it uses the information from all three phase to estimate a single value for frequency. The feed forward action is implemented with pre filtering stage to improve dynamic performance of system. Simulation results are presented to validate effectiveness of proposed technique.
{"title":"A modernistic PLL based on feed forward frequency estimator with selective harmonic pre filter for grid imperfection","authors":"S. Agrawal, D. K. Palwalia","doi":"10.1504/ijpec.2019.10023889","DOIUrl":"https://doi.org/10.1504/ijpec.2019.10023889","url":null,"abstract":"This paper describes a synchronisation technique to track phase and frequency of input signal under abnormal grid condition like frequency variation. Proposed control topology consist of a conventional synchronous reference frame phase locked loop (SRF PLL) type-2 along with a feed forward frequency estimator loop with selective harmonic filtering technique. It eliminates phase and frequency error under wide frequency deviation. Phase error is fed into proportional integral regulator which reduces it to zero. It is observed that faster and better dynamic performance is achieved by frequency estimator with higher stability margin. The stability is evaluated by bode plot. An estimated frequency is smooth and close to fundamental frequency as it uses the information from all three phase to estimate a single value for frequency. The feed forward action is implemented with pre filtering stage to improve dynamic performance of system. Simulation results are presented to validate effectiveness of proposed technique.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49231891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1504/IJPEC.2019.10017464
N. Kouba, M. Menaa, M. Hasni, M. Boudour
In this paper, a novel hybrid particle swarm optimisation and gravitational search algorithm (HPSO-GSA) is proposed to design an optimal automatic generation control (AGC) scheme in interconnected power system. The proposed algorithm combines the advantages of both particle swarm optimisation (PSO) and gravitational search algorithm (GSA). This new meta-heuristic HPSO-GSA is applied to achieve the optimal proportional-integral-derivative (PID) controller parameters. Hence, the optimal PID controller is used to reduce the system fluctuations with the best dynamic performances. The AGC issue is formulated as an optimal load frequency control problem, where the frequency fluctuations and the tie-line power flow deviations are to be minimised in the same time. In order to test the performance of the proposed HPSO-GSA strategy, the integral time multiplied by absolute error (ITAE) is used as an objective function. To evaluate the efficiency of the proposed approach over disturbances, the standard two-area power system is used for the simulation. The obtained simulation results are compared to those yielded using classical and heuristic optimisation techniques surfaced in the recent state-of-the-art literature. The comparative study demonstrates the potential of the proposed strategy and shows its robustness to solve the optimal AGC problem.
{"title":"Optimal AGC Scheme Design Using Hybrid Particle Swarm Optimisation and Gravitational Search Algorithm","authors":"N. Kouba, M. Menaa, M. Hasni, M. Boudour","doi":"10.1504/IJPEC.2019.10017464","DOIUrl":"https://doi.org/10.1504/IJPEC.2019.10017464","url":null,"abstract":"In this paper, a novel hybrid particle swarm optimisation and gravitational search algorithm (HPSO-GSA) is proposed to design an optimal automatic generation control (AGC) scheme in interconnected power system. The proposed algorithm combines the advantages of both particle swarm optimisation (PSO) and gravitational search algorithm (GSA). This new meta-heuristic HPSO-GSA is applied to achieve the optimal proportional-integral-derivative (PID) controller parameters. Hence, the optimal PID controller is used to reduce the system fluctuations with the best dynamic performances. The AGC issue is formulated as an optimal load frequency control problem, where the frequency fluctuations and the tie-line power flow deviations are to be minimised in the same time. In order to test the performance of the proposed HPSO-GSA strategy, the integral time multiplied by absolute error (ITAE) is used as an objective function. To evaluate the efficiency of the proposed approach over disturbances, the standard two-area power system is used for the simulation. The obtained simulation results are compared to those yielded using classical and heuristic optimisation techniques surfaced in the recent state-of-the-art literature. The comparative study demonstrates the potential of the proposed strategy and shows its robustness to solve the optimal AGC problem.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43360443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1504/IJPEC.2019.10018720
Juan Camilo Arevalo, Fabian Santos, S. Rivera
Electrical power systems which incorporate solar or wind energy sources, or electric vehicles, must deal with the uncertainty about the availability of injected or demanded power. This creates uncertainty costs to be considered in stochastic economic dispatch models. The estimation of these costs is important for proper management of energy resources and accurate allocation of the amount of energy available for the system. In this paper, analytical formulas of uncertainty penalty costs are calculated, for solar and wind energy and for electric vehicles, through a mathematical expected value formulation. In order to get the proposed uncertainty cost functions, probability distribution functions (PDF) of the energy primary sources are considered, that is to say: log-normal distribution for solar irradiance PDF, Rayleigh distribution for wind speed PDF and normal distribution for loading and unloading behaviour PDF of electric vehicles. The analytical formulation is verified through Monte Carlo simulations.
{"title":"Uncertainty cost functions for solar photovoltaic generation, wind energy generation, and plug-in electric vehicles: mathematical expected value and verification by Monte Carlo simulation","authors":"Juan Camilo Arevalo, Fabian Santos, S. Rivera","doi":"10.1504/IJPEC.2019.10018720","DOIUrl":"https://doi.org/10.1504/IJPEC.2019.10018720","url":null,"abstract":"Electrical power systems which incorporate solar or wind energy sources, or electric vehicles, must deal with the uncertainty about the availability of injected or demanded power. This creates uncertainty costs to be considered in stochastic economic dispatch models. The estimation of these costs is important for proper management of energy resources and accurate allocation of the amount of energy available for the system. In this paper, analytical formulas of uncertainty penalty costs are calculated, for solar and wind energy and for electric vehicles, through a mathematical expected value formulation. In order to get the proposed uncertainty cost functions, probability distribution functions (PDF) of the energy primary sources are considered, that is to say: log-normal distribution for solar irradiance PDF, Rayleigh distribution for wind speed PDF and normal distribution for loading and unloading behaviour PDF of electric vehicles. The analytical formulation is verified through Monte Carlo simulations.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1504/IJPEC.2019.10018718
Tha'er O. Sweidan, M. Widyan, M. Rifai
This paper presents perturbation and observation (P&O) as maximum power point tracking (MPPT) technique applied on grid-integrated PV generator. The interfacing is carried out via DC-DC buck-boost converter, three-phase sinusoidal DC-AC inverter, LC filter, transformer and two identical transmission lines. Large-signal stability analysis has been carried out considering symmetrical three-phase to ground fault as a case study at the middle of one of the transmission lines. The idea behind introducing the DC-DC converter is to adjust its duty cycle using the P&O algorithm such that to extract the maximum power available in the PV generator at all practical solar irradiance levels. The results show that the highly penetrated grid-integrated PV generator can keep the stability of its operating point despite the large-disturbance considered. It is also concluded that overshoot and settling time of the power system are highly affected by the fault clearing time and solar irradiance level. The higher the solar irradiance level is, the higher the critical clearing time, the larger the overshoot and the lower the settling time tend to be.
{"title":"Perturbation and observation as MPPT for highly penetrated grid-integrated PV generator considering symmetrical three-phase fault","authors":"Tha'er O. Sweidan, M. Widyan, M. Rifai","doi":"10.1504/IJPEC.2019.10018718","DOIUrl":"https://doi.org/10.1504/IJPEC.2019.10018718","url":null,"abstract":"This paper presents perturbation and observation (P&O) as maximum power point tracking (MPPT) technique applied on grid-integrated PV generator. The interfacing is carried out via DC-DC buck-boost converter, three-phase sinusoidal DC-AC inverter, LC filter, transformer and two identical transmission lines. Large-signal stability analysis has been carried out considering symmetrical three-phase to ground fault as a case study at the middle of one of the transmission lines. The idea behind introducing the DC-DC converter is to adjust its duty cycle using the P&O algorithm such that to extract the maximum power available in the PV generator at all practical solar irradiance levels. The results show that the highly penetrated grid-integrated PV generator can keep the stability of its operating point despite the large-disturbance considered. It is also concluded that overshoot and settling time of the power system are highly affected by the fault clearing time and solar irradiance level. The higher the solar irradiance level is, the higher the critical clearing time, the larger the overshoot and the lower the settling time tend to be.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48221940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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