Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384946
Meng Zhao, M. Barati
Nowadays, there is a critical and urgent need for developing smart and robust OPF solvers since the conventional options currently available for OPF problems are quite limited. This research is based on AC Optimal Power Flow (ACOPF) with active and reactive quadratically constrained quadratic programming optimization problems of a form that arises in operation and planning applications in power systems. Besides being non-convex, these problems are identified to be NP-hard. This paper first utilized semi-definite programming (SDP) relaxation to convexify the original ACOPF problems and then solve the SDP relaxation problem with “moment-based” algorithm to get the rank-1 solutions of the $W$ matrix. However, the computation time will increase exponentially with higher order of the moment matrix. To improve the computation efficiency, we added some penalty terms in the objective function to push the rank of the moment matrix reach to 1 by using the proposed SLP(SLPBB) algorithms. The proposed algorithm is verified by simulating on small scale test cases and NP-hard topologies in MATLAB. Also, the results were compared with the ones obtained by only using SLP (SLPBB) algorithms and the local solutions (The SLP and SLPBB algorithms were denoted as SLP(BB) afterwards). Numerical simulations illustrate that the SDP moment-based SLP(BB) algorithm can obtain the global optimal solutions which can guarantee the rank-1 solutions of the moment and $W$ matrices.
{"title":"Low-order Moment Relaxation of ACOPF via Algorithmic Successive Linear Programming","authors":"Meng Zhao, M. Barati","doi":"10.1109/TPEC51183.2021.9384946","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384946","url":null,"abstract":"Nowadays, there is a critical and urgent need for developing smart and robust OPF solvers since the conventional options currently available for OPF problems are quite limited. This research is based on AC Optimal Power Flow (ACOPF) with active and reactive quadratically constrained quadratic programming optimization problems of a form that arises in operation and planning applications in power systems. Besides being non-convex, these problems are identified to be NP-hard. This paper first utilized semi-definite programming (SDP) relaxation to convexify the original ACOPF problems and then solve the SDP relaxation problem with “moment-based” algorithm to get the rank-1 solutions of the $W$ matrix. However, the computation time will increase exponentially with higher order of the moment matrix. To improve the computation efficiency, we added some penalty terms in the objective function to push the rank of the moment matrix reach to 1 by using the proposed SLP(SLPBB) algorithms. The proposed algorithm is verified by simulating on small scale test cases and NP-hard topologies in MATLAB. Also, the results were compared with the ones obtained by only using SLP (SLPBB) algorithms and the local solutions (The SLP and SLPBB algorithms were denoted as SLP(BB) afterwards). Numerical simulations illustrate that the SDP moment-based SLP(BB) algorithm can obtain the global optimal solutions which can guarantee the rank-1 solutions of the moment and $W$ matrices.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129366075","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384943
Ramin Rahimi, Saeed Habibi, P. Shamsi, M. Ferdowsi
This paper introduces a high step-up DC-DC converter for the integration of the photovoltaic (PV) energy into the electric vehicle (EV) DC fast charging systems. The proposed converter has an interleaved structure using the integration of coupled inductor (CI), built-in transformer (BIT), and switched-capacitor concepts to achieve high-voltage gain, low current and voltage stresses on the power switches and diodes, and high efficiency. The reverse-recovery problem of all diodes is solved due to the presence of the leakage inductances of CI and BIT. Operation modes and steady-state analysis of the proposed converter in the continuous conduction mode (CCM) are presented. To verify the merits of the proposed converter, a comparison between the proposed converter and other related converters is performed. Furthermore, an 800 W converter with the input voltage of 40 V and the output voltage of 800 V is simulated in PLECS Blockset to validate the theoretical analyses.
{"title":"An Interleaved High Step-Up DC-DC Converter Based on Combination of Coupled Inductor and Built-in Transformer for Photovoltaic-Grid Electric Vehicle DC Fast Charging Systems","authors":"Ramin Rahimi, Saeed Habibi, P. Shamsi, M. Ferdowsi","doi":"10.1109/TPEC51183.2021.9384943","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384943","url":null,"abstract":"This paper introduces a high step-up DC-DC converter for the integration of the photovoltaic (PV) energy into the electric vehicle (EV) DC fast charging systems. The proposed converter has an interleaved structure using the integration of coupled inductor (CI), built-in transformer (BIT), and switched-capacitor concepts to achieve high-voltage gain, low current and voltage stresses on the power switches and diodes, and high efficiency. The reverse-recovery problem of all diodes is solved due to the presence of the leakage inductances of CI and BIT. Operation modes and steady-state analysis of the proposed converter in the continuous conduction mode (CCM) are presented. To verify the merits of the proposed converter, a comparison between the proposed converter and other related converters is performed. Furthermore, an 800 W converter with the input voltage of 40 V and the output voltage of 800 V is simulated in PLECS Blockset to validate the theoretical analyses.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124051986","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384918
Qilin Wang, C. Pang, Hashim Alnami
With the rapid growth of power systems, more large interconnections and the integration of large renewable energies make the systems more complicated. Therefore, transient stability assessment (TSA) has always been considered as one of the top challenges to ensure the security and operation of power systems. The development of Artificial Intelligence (AI) technologies, such as Artificial Neural Network (ANN) and Support Vector Machine (SVM) have been drawn attentions to the power industry recently. Compared with traditional SVM, this paper presents an advanced TSA system using Multi-layer Support Vector Machine (ML-SVM) method. Basically, a Genetic Algorithm (GA) is used in ML-SVM to identify the valued feature subsets with varying numbers of features which makes full use of the input information. Transient stabilities of the system are determined based on the generator relative rotor angles obtained from the time-domain simulation. Data from the time-domain simulation are used as the inputs for ML-SVM training and testing. Then these trained SVMs are integrated to assess the transient stability of the power system. The simulation results show that the proposed method can reduce the possibility of misclassification of the system. Case study of IEEE 9-bus system on PowerWorld Simulator illustrates the effectiveness of the proposed approach.
{"title":"Transient Stability Assessment of a Power System Using Multi-layer SVM Method","authors":"Qilin Wang, C. Pang, Hashim Alnami","doi":"10.1109/TPEC51183.2021.9384918","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384918","url":null,"abstract":"With the rapid growth of power systems, more large interconnections and the integration of large renewable energies make the systems more complicated. Therefore, transient stability assessment (TSA) has always been considered as one of the top challenges to ensure the security and operation of power systems. The development of Artificial Intelligence (AI) technologies, such as Artificial Neural Network (ANN) and Support Vector Machine (SVM) have been drawn attentions to the power industry recently. Compared with traditional SVM, this paper presents an advanced TSA system using Multi-layer Support Vector Machine (ML-SVM) method. Basically, a Genetic Algorithm (GA) is used in ML-SVM to identify the valued feature subsets with varying numbers of features which makes full use of the input information. Transient stabilities of the system are determined based on the generator relative rotor angles obtained from the time-domain simulation. Data from the time-domain simulation are used as the inputs for ML-SVM training and testing. Then these trained SVMs are integrated to assess the transient stability of the power system. The simulation results show that the proposed method can reduce the possibility of misclassification of the system. Case study of IEEE 9-bus system on PowerWorld Simulator illustrates the effectiveness of the proposed approach.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126357808","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384911
S. Hussain, A. Iqbal, S. Zanero, S. M. Suhail Hussain, Abdullatif Shikfa, E. Ragaini, R. Alammari, I. Khan
The traditional power systems are rapidly digitalized and automated for increased monitoring and control. This automation of power system communication has made it possible to monitor and control operations remotely in a plant. However, this also opens up an exploitation vector for attackers, after they gain access to the substation network. This scenario can only be investigated through an in-depth study of communication protocols and control authority concepts associated with power system. IEC 61850 has emerged as the most popular protocol for power system communication. In this paper, we investigate realtime simulation of power systems with IEC 61850 based communication, in order to devise a testbed that can be used to validate false data injection cyberattacks and evaluate their impact. Based on the results, we discuss possible countermeasures to such attacks and outline future research directions.
{"title":"A novel methodology to validate cyberattacks and evaluate their impact on power systems using real time digital simulation","authors":"S. Hussain, A. Iqbal, S. Zanero, S. M. Suhail Hussain, Abdullatif Shikfa, E. Ragaini, R. Alammari, I. Khan","doi":"10.1109/TPEC51183.2021.9384911","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384911","url":null,"abstract":"The traditional power systems are rapidly digitalized and automated for increased monitoring and control. This automation of power system communication has made it possible to monitor and control operations remotely in a plant. However, this also opens up an exploitation vector for attackers, after they gain access to the substation network. This scenario can only be investigated through an in-depth study of communication protocols and control authority concepts associated with power system. IEC 61850 has emerged as the most popular protocol for power system communication. In this paper, we investigate realtime simulation of power systems with IEC 61850 based communication, in order to devise a testbed that can be used to validate false data injection cyberattacks and evaluate their impact. Based on the results, we discuss possible countermeasures to such attacks and outline future research directions.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126425985","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384951
T. Overbye, Jessica L. Wert, K. Shetye, F. Safdarian, A. Birchfield
The paper presents the use of geographic data views (GDVs) to help improve large-scale electric grid situational awareness for power flow and time-domain simulations. GDVs are electric grid display objects whose location is dynamically determined from geographic information embedded in an electric grid model. The paper provides examples using a 2000-bus and an 82,000-bus synthetic electric grid to show how GDVs can be used to help provide wide area understanding of values such as generator outputs, switched shunt values, voltages, and transmission line flows. It also shows the application of force-directed layout of GDVs and GDV summary objects.
{"title":"The Use of Geographic Data Views to Help With Wide-Area Electric Grid Situational Awareness","authors":"T. Overbye, Jessica L. Wert, K. Shetye, F. Safdarian, A. Birchfield","doi":"10.1109/TPEC51183.2021.9384951","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384951","url":null,"abstract":"The paper presents the use of geographic data views (GDVs) to help improve large-scale electric grid situational awareness for power flow and time-domain simulations. GDVs are electric grid display objects whose location is dynamically determined from geographic information embedded in an electric grid model. The paper provides examples using a 2000-bus and an 82,000-bus synthetic electric grid to show how GDVs can be used to help provide wide area understanding of values such as generator outputs, switched shunt values, voltages, and transmission line flows. It also shows the application of force-directed layout of GDVs and GDV summary objects.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127848609","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384953
Saurav Dey, T. Bhattacharya
Modular multilevel converter has been identified as an effective solution for bidirectional power flow between line commutated converter (LCC) and voltage source converter (VSC) based high voltage dc (HVdc) links which has encouraged multi-terminal bipolar operation in HVdc transmission. This paper introduces topological modification and novel philosophy of operation for an existing modular dc-dc converter topology for operation between monopolar VSC and bipolar LCC based dc links. The effectiveness of the philosophy is demonstrated in multi-terminal operation by simulation in MATLAB/Simulink platform.
{"title":"Monopolar operation of Modular Multilevel DC-DC Converter Based Hybrid Bipolar HVDC Links","authors":"Saurav Dey, T. Bhattacharya","doi":"10.1109/TPEC51183.2021.9384953","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384953","url":null,"abstract":"Modular multilevel converter has been identified as an effective solution for bidirectional power flow between line commutated converter (LCC) and voltage source converter (VSC) based high voltage dc (HVdc) links which has encouraged multi-terminal bipolar operation in HVdc transmission. This paper introduces topological modification and novel philosophy of operation for an existing modular dc-dc converter topology for operation between monopolar VSC and bipolar LCC based dc links. The effectiveness of the philosophy is demonstrated in multi-terminal operation by simulation in MATLAB/Simulink platform.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115660913","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384986
J. M. Rodríguez-Serna, Ricardo Albarracín‐Sánchez
The economic and reliable sizing of High-Voltage (HV) insulation systems requires the evaluation of the expected life when they are under normal stresses. However, when solid dielectric polymers are used, organic materials in general, Partial Discharges (PDs) activity in cavities inside the dielectric bulk accelerates the ageing process due to chemical and physical degradation mechanisms. On the other hand, prognosis tools based on external PD measurements are required in order to take decisions about the maintenance actions. In this work, a study on the degradation rate driven by the impact energy of electrons during PDs, a method based on simulations and a proposed degradation function are presented. Comparisons of calculated life obtained from measurements show good agreement. Additionally, a diagnostic quantity based on the induced PD current is proposed.
{"title":"Simulation of Polymeric Insulators Ageing Induced by the Impact Energy of Electrons During Partial Discharge Activity","authors":"J. M. Rodríguez-Serna, Ricardo Albarracín‐Sánchez","doi":"10.1109/TPEC51183.2021.9384986","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384986","url":null,"abstract":"The economic and reliable sizing of High-Voltage (HV) insulation systems requires the evaluation of the expected life when they are under normal stresses. However, when solid dielectric polymers are used, organic materials in general, Partial Discharges (PDs) activity in cavities inside the dielectric bulk accelerates the ageing process due to chemical and physical degradation mechanisms. On the other hand, prognosis tools based on external PD measurements are required in order to take decisions about the maintenance actions. In this work, a study on the degradation rate driven by the impact energy of electrons during PDs, a method based on simulations and a proposed degradation function are presented. Comparisons of calculated life obtained from measurements show good agreement. Additionally, a diagnostic quantity based on the induced PD current is proposed.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130860196","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384914
Fereshteh Mahmudzadeh, J. Subramanian, P. Famouri
Linear generators use linear motion to produce electricity, whereas conventional rotary generators use rotary motion to produce electricity. Their alternative configuration gives them superiority in system efficiency and reliability over their traditional counterpart. Incorporating the linear alternator in a free-piston engine system to utilize the linear motion has been studied in the past. This paper presents an implementation and instrumentation of a control technique for a single-phase tubular permanent magnet linear alternator in a Free Piston Engines (FPE) system. A minimum amount of mechanical energy is required to provide a minimal engine compression ratio to start the engine and electricity generation. To provide adequate energy, a start-up mechanism has been implemented to start running the engine by reaching the required displacement through the electrical linear motor. The technique has been implemented and tested on a real machine, software and hardware implementations are described, and results are presented.
{"title":"Experimental Implementation of PLL for Free-Piston Engine Application","authors":"Fereshteh Mahmudzadeh, J. Subramanian, P. Famouri","doi":"10.1109/TPEC51183.2021.9384914","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384914","url":null,"abstract":"Linear generators use linear motion to produce electricity, whereas conventional rotary generators use rotary motion to produce electricity. Their alternative configuration gives them superiority in system efficiency and reliability over their traditional counterpart. Incorporating the linear alternator in a free-piston engine system to utilize the linear motion has been studied in the past. This paper presents an implementation and instrumentation of a control technique for a single-phase tubular permanent magnet linear alternator in a Free Piston Engines (FPE) system. A minimum amount of mechanical energy is required to provide a minimal engine compression ratio to start the engine and electricity generation. To provide adequate energy, a start-up mechanism has been implemented to start running the engine by reaching the required displacement through the electrical linear motor. The technique has been implemented and tested on a real machine, software and hardware implementations are described, and results are presented.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123397707","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384966
A. Tomar
Greenhouse (GH) internal environmental parameters like temperature, humidity, ventilation, irrigation, fertigation, and photosynthesis are non-linear and have high interdependencies. A low cost yet efficient automation architecture is highly desirable for GH applications to reduce the farming dependencies on external atmospheric conditions and rain. The proposed integrated automated photovoltaic greenhouse (PV-GH) work is divided into four parts: (1) conceptualization of the automation architecture; (2) design and demonstration; (3) electrical energy performance analysis; (4) validation through crop yield analysis. In this paper, a unified automation architecture for PV -GH is proposed considering temperature, humidity, ventilation, irrigation, fertigation, and photosynthesis control and monitoring in an integrated manner. The presented conceptualization of automation architecture (the first part of the proposed work) for a standalone PV -GH is simple in nature and execution, however, it is effective and low cost. Besides maintaining the required environmental conditions within PV -GH internal environment, the proposed automation architecture also reduces the amount of water required for irrigation and increases the effective photosynthesis duration by four hours per day. Microcontroller ATmega 2560 hardware-based coordinated, unified control and monitoring architecture is developed to manage the PV-GH internal parameters within defined boundary conditions.
{"title":"Conceptualization of Unified Automation Architecture for Photovoltaic based Greenhouse","authors":"A. Tomar","doi":"10.1109/TPEC51183.2021.9384966","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384966","url":null,"abstract":"Greenhouse (GH) internal environmental parameters like temperature, humidity, ventilation, irrigation, fertigation, and photosynthesis are non-linear and have high interdependencies. A low cost yet efficient automation architecture is highly desirable for GH applications to reduce the farming dependencies on external atmospheric conditions and rain. The proposed integrated automated photovoltaic greenhouse (PV-GH) work is divided into four parts: (1) conceptualization of the automation architecture; (2) design and demonstration; (3) electrical energy performance analysis; (4) validation through crop yield analysis. In this paper, a unified automation architecture for PV -GH is proposed considering temperature, humidity, ventilation, irrigation, fertigation, and photosynthesis control and monitoring in an integrated manner. The presented conceptualization of automation architecture (the first part of the proposed work) for a standalone PV -GH is simple in nature and execution, however, it is effective and low cost. Besides maintaining the required environmental conditions within PV -GH internal environment, the proposed automation architecture also reduces the amount of water required for irrigation and increases the effective photosynthesis duration by four hours per day. Microcontroller ATmega 2560 hardware-based coordinated, unified control and monitoring architecture is developed to manage the PV-GH internal parameters within defined boundary conditions.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125291647","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384930
Saad Abdul Basit, M. A. Abido
In this paper, power system dynamic stability was enhanced by damping electromechanical oscillations using STATCOM based supplementary power oscillation damping (POD) controller. The non-linear model of the system was derived and then linearized to derive the system closed loop state matrix for eigenvalue analysis. The supplementary POD controller for STATCOM was designed and formulated as an optimization problem and the controller parameters were optimized using teaching-learning-based optimization (TLBO) algorithm. The proposed POD controller performance was verified in time domain simulation. The result shows that the proposed STATCOM POD controller was effective over different operating conditions in enhancing the dynamic stability of power system by damping electromechanical power system oscillations. The TLBO was also compared with other heuristics optimization techniques to validate its superiority.
{"title":"Design of STATCOM Damping Controller Using Teaching Learning Based Optimization","authors":"Saad Abdul Basit, M. A. Abido","doi":"10.1109/TPEC51183.2021.9384930","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384930","url":null,"abstract":"In this paper, power system dynamic stability was enhanced by damping electromechanical oscillations using STATCOM based supplementary power oscillation damping (POD) controller. The non-linear model of the system was derived and then linearized to derive the system closed loop state matrix for eigenvalue analysis. The supplementary POD controller for STATCOM was designed and formulated as an optimization problem and the controller parameters were optimized using teaching-learning-based optimization (TLBO) algorithm. The proposed POD controller performance was verified in time domain simulation. The result shows that the proposed STATCOM POD controller was effective over different operating conditions in enhancing the dynamic stability of power system by damping electromechanical power system oscillations. The TLBO was also compared with other heuristics optimization techniques to validate its superiority.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117140808","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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