Pub Date : 2019-04-01DOI: 10.1504/IJPEC.2019.10018719
M. Bigharaz, S. Hosseinian, A. Afshar, A. Suratgar, Mehdi Amiri Dehcheshmeh
In this paper a comprehensive simulator for a 2 × 25 kV AC autotransformer electrified traction system with MTL arrangement is developed. The main goal of this simulator is to complete performance analysis of a traction system consisting of some moving trains controlled by a virtual driver or ATO system under natural constraints and traction power limits. In order to evaluate the electrical performance, an advanced load flow analyser is proposed, which calculates all electrical parameters of the system by generating the equivalent admittance matrix of the entire system. The electrical effects of trains on each other are well extracted, when they are moving with various operational modes and speeds on a track. This simulator is well adapted to the real system Tehran-Golshahr suburban railway as a case study. A genetic algorithm-based optimisation core with some predefined objectives is developed and analysed for current balancing as a sample capability.
{"title":"A comprehensive simulator of AC autotransformer electrified traction system","authors":"M. Bigharaz, S. Hosseinian, A. Afshar, A. Suratgar, Mehdi Amiri Dehcheshmeh","doi":"10.1504/IJPEC.2019.10018719","DOIUrl":"https://doi.org/10.1504/IJPEC.2019.10018719","url":null,"abstract":"In this paper a comprehensive simulator for a 2 × 25 kV AC autotransformer electrified traction system with MTL arrangement is developed. The main goal of this simulator is to complete performance analysis of a traction system consisting of some moving trains controlled by a virtual driver or ATO system under natural constraints and traction power limits. In order to evaluate the electrical performance, an advanced load flow analyser is proposed, which calculates all electrical parameters of the system by generating the equivalent admittance matrix of the entire system. The electrical effects of trains on each other are well extracted, when they are moving with various operational modes and speeds on a track. This simulator is well adapted to the real system Tehran-Golshahr suburban railway as a case study. A genetic algorithm-based optimisation core with some predefined objectives is developed and analysed for current balancing as a sample capability.","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":"42514278","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 : 2019-01-01DOI: 10.1504/ijpec.2019.096721
Nassim A. Iqteit, A. Daud
{"title":"A new model of self-excited induction generator to feed a single phase load with an application in lighting animal farm","authors":"Nassim A. Iqteit, A. Daud","doi":"10.1504/ijpec.2019.096721","DOIUrl":"https://doi.org/10.1504/ijpec.2019.096721","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijpec.2019.096721","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809136","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 : 2019-01-01DOI: 10.1504/IJPEC.2019.10011434
A. Elnady
This paper analyses the performance of the distribution static compensator (DSTATCOM) for two linear controllers and two developed state feedback controllers. The paper clarifies how the DSTATCOM controls the reactive power using the quadrature current, Iq, and the active power for adjusting its DC voltage across its capacitor, Vdc. The PI and PID controllers are employed as an example for a linear controller. The linear quadratic regulator (LQR) and a novel structure and formulation of the decoupled state feedback controller, SFC, are adopted as tools for the pole placement so as to control the operation of the DSTATCOM. A comprehensive analysis for these four controllers is given to justify the merits and demerits of each controller. In addition, the proposed state feedback is also compared to an integral sliding mode controller, SMC, to prove its superior performance. Finally, three different applications for the developed state feedback controller are demonstrated to prove the meritorious performance of this developed control scheme for the operation of the DSTATCOM to control the reactive power and mitigate voltage quality problems within distribution systems.
{"title":"Comparative Analysis of Several Linear Controllers with Developed Feedback Controllers for DSTATCOM","authors":"A. Elnady","doi":"10.1504/IJPEC.2019.10011434","DOIUrl":"https://doi.org/10.1504/IJPEC.2019.10011434","url":null,"abstract":"This paper analyses the performance of the distribution static compensator (DSTATCOM) for two linear controllers and two developed state feedback controllers. The paper clarifies how the DSTATCOM controls the reactive power using the quadrature current, Iq, and the active power for adjusting its DC voltage across its capacitor, Vdc. The PI and PID controllers are employed as an example for a linear controller. The linear quadratic regulator (LQR) and a novel structure and formulation of the decoupled state feedback controller, SFC, are adopted as tools for the pole placement so as to control the operation of the DSTATCOM. A comprehensive analysis for these four controllers is given to justify the merits and demerits of each controller. In addition, the proposed state feedback is also compared to an integral sliding mode controller, SMC, to prove its superior performance. Finally, three different applications for the developed state feedback controller are demonstrated to prove the meritorious performance of this developed control scheme for the operation of the DSTATCOM to control the reactive power and mitigate voltage quality problems within distribution systems.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66808698","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 : 2019-01-01DOI: 10.1504/IJPEC.2019.10011919
A. Leksir, B. Bensaker
This paper deals with a simulation of different power methods to detect and diagnose induction generator faults. Instantaneous partial and total power, active and reactive power, complex apparent power and transformed power from mechanic to electric nature are revisited, simulated and discussed in this paper for induction generator rotor broken bars and stator short cuts faults detection and diagnosis. Fast Fourier transform (FFT) and PQ transform algorithms are used as comparison tools. Simulation results show that, on one hand, active, reactive and complex apparent power can only be used to detect evolution of rotor faults. On the other hand, partial, total and power transferred from mechanical to electrical nature are able to detect induction generator faults evolution with the advantage of eliminating electrical distortions and influence of low quality of supplying voltage. Furthermore, the implementation of the PQ transformation offers the possibility to isolate load influence from rotor faults and stator ones.
{"title":"Simulation of Different Power Methods for Induction Generator Faults Detection and Diagnosis","authors":"A. Leksir, B. Bensaker","doi":"10.1504/IJPEC.2019.10011919","DOIUrl":"https://doi.org/10.1504/IJPEC.2019.10011919","url":null,"abstract":"This paper deals with a simulation of different power methods to detect and diagnose induction generator faults. Instantaneous partial and total power, active and reactive power, complex apparent power and transformed power from mechanic to electric nature are revisited, simulated and discussed in this paper for induction generator rotor broken bars and stator short cuts faults detection and diagnosis. Fast Fourier transform (FFT) and PQ transform algorithms are used as comparison tools. Simulation results show that, on one hand, active, reactive and complex apparent power can only be used to detect evolution of rotor faults. On the other hand, partial, total and power transferred from mechanical to electrical nature are able to detect induction generator faults evolution with the advantage of eliminating electrical distortions and influence of low quality of supplying voltage. Furthermore, the implementation of the PQ transformation offers the possibility to isolate load influence from rotor faults and stator ones.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66808726","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 : 2019-01-01DOI: 10.1504/IJPEC.2018.10007885
S. Krishnamurthy, R. Tzoneva
Large interconnected power systems are decomposed into areas or zones based on the size of the electric power system, network topology and geographical location. Multi-area economic emission dispatch (MAEED) problem is an optimisation task in power system operation for allocating amount of generation to the committed units within these areas. Its objective is to minimise the fuel cost subject to the power balance, generators limits, transmission lines, and tie-line constraints. The solution of the MAEED problem in the conditions of deregulation is difficult, due to the model size, nonlinearity, and interconnections. It determines the amount of power that can be economically generated in the areas and transferred to other areas if it is needed without violating tie-line capacity constraints. High-performance computing (HPC) gives possibilities for reduction of the problem complexity and the time for calculation by the use of parallel processing for running advanced application programs efficiently, reliably and quickly.
{"title":"Decomposition method for solution of a multi-area power dispatch problem","authors":"S. Krishnamurthy, R. Tzoneva","doi":"10.1504/IJPEC.2018.10007885","DOIUrl":"https://doi.org/10.1504/IJPEC.2018.10007885","url":null,"abstract":"Large interconnected power systems are decomposed into areas or zones based on the size of the electric power system, network topology and geographical location. Multi-area economic emission dispatch (MAEED) problem is an optimisation task in power system operation for allocating amount of generation to the committed units within these areas. Its objective is to minimise the fuel cost subject to the power balance, generators limits, transmission lines, and tie-line constraints. The solution of the MAEED problem in the conditions of deregulation is difficult, due to the model size, nonlinearity, and interconnections. It determines the amount of power that can be economically generated in the areas and transferred to other areas if it is needed without violating tie-line capacity constraints. High-performance computing (HPC) gives possibilities for reduction of the problem complexity and the time for calculation by the use of parallel processing for running advanced application programs efficiently, reliably and quickly.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66808952","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 : 2019-01-01DOI: 10.1504/IJPEC.2018.10009642
Arjun Tyagi, Ashu Verma, L. Panwar
The distributed generation sources (DGs) are becoming increasingly attractive due to introduction of small scale renewable energy sources. They can be integrated in to low voltage distribution networks, to reduce the burden on transmission and sub transmission network. However, the number of DGs, their placement, and sizing can influence the advantages from the distribution network operation point of view. Also, most of the time the planning is done considering the peak load demand only. However, the losses obtained at peak load, may not give the realistic picture. This paper demonstrates the application of a grey wolf optimisation method for obtaining the optimal size and location of DGs (solar photovoltaic-based) in an unbalanced distribution network. The method proposed in this paper provides a set of solutions from the point of view of voltage stability enhancement and loss minimisation. The utility can prioritise either voltage stability enhancement or loss minimisation or both to choose the best compromised solution. Moreover, the losses are calculated by considering the seasonal load and PV generation patterns during the year to simulate the real picture of distribution system. Results on 33 bus balanced and 25 bus unbalanced distribution system are taken to demonstrate the potential of the proposed algorithm.
{"title":"Optimal placement and sizing of distributed generation in an unbalance distribution system using grey wolf optimisation method","authors":"Arjun Tyagi, Ashu Verma, L. Panwar","doi":"10.1504/IJPEC.2018.10009642","DOIUrl":"https://doi.org/10.1504/IJPEC.2018.10009642","url":null,"abstract":"The distributed generation sources (DGs) are becoming increasingly attractive due to introduction of small scale renewable energy sources. They can be integrated in to low voltage distribution networks, to reduce the burden on transmission and sub transmission network. However, the number of DGs, their placement, and sizing can influence the advantages from the distribution network operation point of view. Also, most of the time the planning is done considering the peak load demand only. However, the losses obtained at peak load, may not give the realistic picture. This paper demonstrates the application of a grey wolf optimisation method for obtaining the optimal size and location of DGs (solar photovoltaic-based) in an unbalanced distribution network. The method proposed in this paper provides a set of solutions from the point of view of voltage stability enhancement and loss minimisation. The utility can prioritise either voltage stability enhancement or loss minimisation or both to choose the best compromised solution. Moreover, the losses are calculated by considering the seasonal load and PV generation patterns during the year to simulate the real picture of distribution system. Results on 33 bus balanced and 25 bus unbalanced distribution system are taken to demonstrate the potential of the proposed algorithm.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809106","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 : 2019-01-01DOI: 10.1504/ijpec.2019.10017177
Amrane Youssouf
{"title":"Transmission Line Capacity Improvement Using Thyristor Controlled Series Compensation Device Considering Voltage Stability Analysis","authors":"Amrane Youssouf","doi":"10.1504/ijpec.2019.10017177","DOIUrl":"https://doi.org/10.1504/ijpec.2019.10017177","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809194","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 : 2019-01-01DOI: 10.1504/IJPEC.2019.10017245
M. Deepak, R. J. Abraham
Coordinated operation of superconducting magnetic energy storage (SMES) and thyristor controlled series compensator (TCSC) for dynamic frequency regulation on a multisource power system is presented in this paper. The optimal integral gains of the control areas are obtained by tuning a quadratic performance index consisting of frequency deviations and tie-line power error using integral squared error technique. The effects of generation rate constraint and governor dead band nonlinearities are also considered. Time domain simulations carried out in MATLAB on a sample two area multi-unit power system comprising hydro, thermal and gas power plants reveal that the SMES-TCSC combination can effectively damp out deviations in area frequencies and tie-line power flow following a sudden load perturbation with better transient performance and reduced settling time.
{"title":"Improving the dynamic frequency regulation of a multisource power system considering GRC and dead band with TCSC and SMES","authors":"M. Deepak, R. J. Abraham","doi":"10.1504/IJPEC.2019.10017245","DOIUrl":"https://doi.org/10.1504/IJPEC.2019.10017245","url":null,"abstract":"Coordinated operation of superconducting magnetic energy storage (SMES) and thyristor controlled series compensator (TCSC) for dynamic frequency regulation on a multisource power system is presented in this paper. The optimal integral gains of the control areas are obtained by tuning a quadratic performance index consisting of frequency deviations and tie-line power error using integral squared error technique. The effects of generation rate constraint and governor dead band nonlinearities are also considered. Time domain simulations carried out in MATLAB on a sample two area multi-unit power system comprising hydro, thermal and gas power plants reveal that the SMES-TCSC combination can effectively damp out deviations in area frequencies and tie-line power flow following a sudden load perturbation with better transient performance and reduced settling time.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809216","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 : 2019-01-01DOI: 10.1504/IJPEC.2019.10017247
Surajit Sannigrahi, S. R. Ghatak, D. Basu, P. Acharjee
Recently, incorporation of distributed generation (DG) and distributed static compensator (DSTATCOM) is increased in radial distribution system (RDS) due to the enormous electrical energy demand, power system deregulation, and different restriction over existing network expansion. However, the proper allocation of these devices is essential to ensure maximum potential benefit from the device. In this article, the optimal placement of DG and DSTATCOM is determined on IEEE 33-bus and 69-bus RDS with an aim to enhance voltage profile, reduce line losses, and maximise financial benefit. To reduce the search space and computational burden, the performance assessments of these devices are carried out only at weak bus locations that are identified using voltage stability index (VSI). To quantify the financial benefit after a certain period of time, authors developed a logical formula namely economic benefit (EB). In addition, an innovative formula namely relative pollution index (RPI) is developed to assess the environmental impact of these devices. First time, on the basis of the technical, economical, and environmental aspects, performance comparison between DG and DSTATCOM is thoroughly analysed in this study, which will facilitate the planning engineers to identify the most beneficial device for the RDS.
{"title":"Optimal placement of DSTATCOM, DG and their performance analysis in deregulated power system","authors":"Surajit Sannigrahi, S. R. Ghatak, D. Basu, P. Acharjee","doi":"10.1504/IJPEC.2019.10017247","DOIUrl":"https://doi.org/10.1504/IJPEC.2019.10017247","url":null,"abstract":"Recently, incorporation of distributed generation (DG) and distributed static compensator (DSTATCOM) is increased in radial distribution system (RDS) due to the enormous electrical energy demand, power system deregulation, and different restriction over existing network expansion. However, the proper allocation of these devices is essential to ensure maximum potential benefit from the device. In this article, the optimal placement of DG and DSTATCOM is determined on IEEE 33-bus and 69-bus RDS with an aim to enhance voltage profile, reduce line losses, and maximise financial benefit. To reduce the search space and computational burden, the performance assessments of these devices are carried out only at weak bus locations that are identified using voltage stability index (VSI). To quantify the financial benefit after a certain period of time, authors developed a logical formula namely economic benefit (EB). In addition, an innovative formula namely relative pollution index (RPI) is developed to assess the environmental impact of these devices. First time, on the basis of the technical, economical, and environmental aspects, performance comparison between DG and DSTATCOM is thoroughly analysed in this study, which will facilitate the planning engineers to identify the most beneficial device for the RDS.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809273","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 : 2019-01-01DOI: 10.1504/ijpec.2019.10017700
B. Krasniqi, Isuf Krasniqi, B. Prebreza
{"title":"Analysis of impact of atmospheric overvoltages in Kosovo Power System","authors":"B. Krasniqi, Isuf Krasniqi, B. Prebreza","doi":"10.1504/ijpec.2019.10017700","DOIUrl":"https://doi.org/10.1504/ijpec.2019.10017700","url":null,"abstract":"","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66809313","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：