Designing high-gain observers (HGOs) for the state estimation of an electric vehicle's electrohydraulic brake (EHB) system is challenging. This type of observer is applicable to model nonlinearities and constant feature gains. However, they are very sensitive to measurement noise, which is unavoidable in EHB. The first novelty of this study is that it compensates for the measurement noise using a filtered high-gain observer (FHGO) to ensure EHB state estimation. The proposed FHGO provides an estimate of the master cylinder pressure, motor current, and rotor speed from measurements of the rotor position. The second novelty is the design of an extremum-seeking (ES) optimization loop to adjust the FHGO gains online. The performance of the developed FHGO with ES-based online gain optimization was highlighted in the presence of model uncertainties and output measurement noise using a Matlab/Simulink simulation. The superiority of the FHGO (even with a fixed gain) over a standard high gain observer (SHGO) was also demonstrated.
{"title":"Filtered High Gain Observer for an Electric Vehicle's Electro-hydraulic Brake: Design and Optimization Using Multivariable Newton-Based Extremum Seeking","authors":"Jamal El-Bakkouri;Hamid Ouadi;Fouad Giri;Mohamed Khafallah","doi":"10.23919/CJEE.2023.000039","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000039","url":null,"abstract":"Designing high-gain observers (HGOs) for the state estimation of an electric vehicle's electrohydraulic brake (EHB) system is challenging. This type of observer is applicable to model nonlinearities and constant feature gains. However, they are very sensitive to measurement noise, which is unavoidable in EHB. The first novelty of this study is that it compensates for the measurement noise using a filtered high-gain observer (FHGO) to ensure EHB state estimation. The proposed FHGO provides an estimate of the master cylinder pressure, motor current, and rotor speed from measurements of the rotor position. The second novelty is the design of an extremum-seeking (ES) optimization loop to adjust the FHGO gains online. The performance of the developed FHGO with ES-based online gain optimization was highlighted in the presence of model uncertainties and output measurement noise using a Matlab/Simulink simulation. The superiority of the FHGO (even with a fixed gain) over a standard high gain observer (SHGO) was also demonstrated.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10345658","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139109548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.23919/CJEE.2023.000037
Peihao Wu;Nawei Lyu;Yuhang Song;Xin Jiang;Yang Jin
Energy-storage technologies based on lithium-ion batteries are advancing rapidly. However, the occurrence of thermal runaway in batteries under extreme operating conditions poses serious safety concerns and potentially leads to severe accidents. To address the detection and early warning of battery thermal runaway faults, this study conducted a comprehensive review of recent advances in lithium battery fault monitoring and early warning in energy-storage systems from various physical perspectives. The focus was electrical, thermal, acoustic, and mechanical aspects, which provide effective insights for energy-storage system safety enhancement.
{"title":"Li-ion Battery Failure Warning Methods for Energy-Storage Systems","authors":"Peihao Wu;Nawei Lyu;Yuhang Song;Xin Jiang;Yang Jin","doi":"10.23919/CJEE.2023.000037","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000037","url":null,"abstract":"Energy-storage technologies based on lithium-ion batteries are advancing rapidly. However, the occurrence of thermal runaway in batteries under extreme operating conditions poses serious safety concerns and potentially leads to severe accidents. To address the detection and early warning of battery thermal runaway faults, this study conducted a comprehensive review of recent advances in lithium battery fault monitoring and early warning in energy-storage systems from various physical perspectives. The focus was electrical, thermal, acoustic, and mechanical aspects, which provide effective insights for energy-storage system safety enhancement.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10345662","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140345501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.23919/CJEE.2023.000038
Liwei Du;Zhihong Xu;Duanyu Chen
Outdated testing methods hinder the success rate of carbonized cable preparation in low-voltage arc fault tests, leading to incomplete tests and high failure rates. To address this issue, we finely categorized the preparation results of carbonized cable specimens by analyzing the experimental phenomena during the carbonization process and assessing the impact of high-voltage energization time on the outcomes, presenting a process control strategy aimed at optimizing the preparation results of carbonized cable specimens. This method utilizes three periodic moving algorithms (root-mean-square, average, and shoulder percentage) to classify the cable specimens into four preparation categories: open-circuit carbonization, under-carbonization, short-circuit carbonization, and successful carbonization. The high-voltage energization time during carbonization or secondary carbonization was adjusted to optimize the preparation of the carbonized cables by considering different discrimination outcomes. Finally, the proposed method was tested on a purpose-built carbonized cable experimental platform, which confirmed its effectiveness in differentiating the preparation outcomes of the carbonized cable specimens and improving the success rate of the carbonized cable preparation. The proposed method has significant potential for application in low-voltage arc fault test systems.
{"title":"Improved Control Strategy for Carbonized Cable Preparation in Low-Voltage Arc Fault Test","authors":"Liwei Du;Zhihong Xu;Duanyu Chen","doi":"10.23919/CJEE.2023.000038","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000038","url":null,"abstract":"Outdated testing methods hinder the success rate of carbonized cable preparation in low-voltage arc fault tests, leading to incomplete tests and high failure rates. To address this issue, we finely categorized the preparation results of carbonized cable specimens by analyzing the experimental phenomena during the carbonization process and assessing the impact of high-voltage energization time on the outcomes, presenting a process control strategy aimed at optimizing the preparation results of carbonized cable specimens. This method utilizes three periodic moving algorithms (root-mean-square, average, and shoulder percentage) to classify the cable specimens into four preparation categories: open-circuit carbonization, under-carbonization, short-circuit carbonization, and successful carbonization. The high-voltage energization time during carbonization or secondary carbonization was adjusted to optimize the preparation of the carbonized cables by considering different discrimination outcomes. Finally, the proposed method was tested on a purpose-built carbonized cable experimental platform, which confirmed its effectiveness in differentiating the preparation outcomes of the carbonized cable specimens and improving the success rate of the carbonized cable preparation. The proposed method has significant potential for application in low-voltage arc fault test systems.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10345660","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139090529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.23919/CJEE.2023.000036
Qixu Chen;Zhizhong Chen;Guoli Li;Dechen Wu;Peng Li
The electromagnetic vibration noise in axial flux motors was meticulously examined. In this study, 24-slot/10-pole and 12-slot/10-pole axial flux motors were chosen as the subjects of research. The spatial characteristics of the axial electromagnetic force were derived analytically and confirmed via two-dimensional Fourier decomposition. The finite-element method was used to simulate the low-order axial modes of both motors. Furthermore, a modal experiment on the stator of a 24-slot/10-pole axial flux motor was conducted to validate the simulation's accuracy. By integrating the electromagnetic and structural models, a comprehensive multi-physical field model was developed to calculate the vibration noise of the axial flux motor. The precision of this model was subsequently corroborated with noise experiments. The findings from this study aim to offer insights into identifying the sources of vibration noise in axial flux motors.
{"title":"Comparative Analysis of Vibration and Noise of Axial Flux Motor with Different Pole and Slot Combinations","authors":"Qixu Chen;Zhizhong Chen;Guoli Li;Dechen Wu;Peng Li","doi":"10.23919/CJEE.2023.000036","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000036","url":null,"abstract":"The electromagnetic vibration noise in axial flux motors was meticulously examined. In this study, 24-slot/10-pole and 12-slot/10-pole axial flux motors were chosen as the subjects of research. The spatial characteristics of the axial electromagnetic force were derived analytically and confirmed via two-dimensional Fourier decomposition. The finite-element method was used to simulate the low-order axial modes of both motors. Furthermore, a modal experiment on the stator of a 24-slot/10-pole axial flux motor was conducted to validate the simulation's accuracy. By integrating the electromagnetic and structural models, a comprehensive multi-physical field model was developed to calculate the vibration noise of the axial flux motor. The precision of this model was subsequently corroborated with noise experiments. The findings from this study aim to offer insights into identifying the sources of vibration noise in axial flux motors.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10345657","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139109532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.23919/CJEE.2023.000040
Puqi Ning;Xiaoshuang Hui;Yuhui Kang;Tao Fan;Kai Wang;Yunhui Mei;Guangyin Lei
The hybrid structure of a power-module package is summarized and classified. Basic and extended planar wire-bond designs are analyzed and compared with regular wire-bond modules and planar modules, respectively. The automatic layout method can improve the electrical and thermal performance of hybrid structures. A state-of-the-art hybrid structure is introduced, and suggestions for alleviating the current and temperature imbalances for future designs are provided.
{"title":"Review of Hybrid Packaging Methods for Power Modules","authors":"Puqi Ning;Xiaoshuang Hui;Yuhui Kang;Tao Fan;Kai Wang;Yunhui Mei;Guangyin Lei","doi":"10.23919/CJEE.2023.000040","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000040","url":null,"abstract":"The hybrid structure of a power-module package is summarized and classified. Basic and extended planar wire-bond designs are analyzed and compared with regular wire-bond modules and planar modules, respectively. The automatic layout method can improve the electrical and thermal performance of hybrid structures. A state-of-the-art hybrid structure is introduced, and suggestions for alleviating the current and temperature imbalances for future designs are provided.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10345661","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139109615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.23919/CJEE.2023.000041
Yaroslav Kovivchak
In the course of designing and developing different-purpose electrodynamical devices, electromagnetic processes in movable and immovable media need to be calculated simultaneously. The solution for such tasks based on the electromagnetic field theory is associated with the emergence of significant theoretical and practical difficulties. The problems that arise during the calculation of electromagnetic processes in movable and immovable media of electrodynamical devices using the electromagnetic field theory are examined in this study. Improved approaches toward the calculation of electromagnetic processes in electrodynamical devices using Maxwell's equations are suggested. Notably, calculating electromagnetic processes in movable and immovable media using Maxwell's equations necessitates consideration of the systems of coordinates where the electromagnetic phenomena are analyzed. Theoretically substantiated methods of calculating electromagnetic processes in movable and immovable media based on the principles of electromagnetic field theory are proposed. The methods consider the systems of coordinates where the analysis of electromagnetic phenomena is conducted. The effectiveness of the suggested methods for example in calculating electromagnetic processes in movable and immovable media of the turbogenerator is illustrated.
{"title":"Improved Approaches Toward Analysis of Electromagnetic Processes in Electrodynamical Devices Based on the Theory of Electromagnetic Field","authors":"Yaroslav Kovivchak","doi":"10.23919/CJEE.2023.000041","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000041","url":null,"abstract":"In the course of designing and developing different-purpose electrodynamical devices, electromagnetic processes in movable and immovable media need to be calculated simultaneously. The solution for such tasks based on the electromagnetic field theory is associated with the emergence of significant theoretical and practical difficulties. The problems that arise during the calculation of electromagnetic processes in movable and immovable media of electrodynamical devices using the electromagnetic field theory are examined in this study. Improved approaches toward the calculation of electromagnetic processes in electrodynamical devices using Maxwell's equations are suggested. Notably, calculating electromagnetic processes in movable and immovable media using Maxwell's equations necessitates consideration of the systems of coordinates where the electromagnetic phenomena are analyzed. Theoretically substantiated methods of calculating electromagnetic processes in movable and immovable media based on the principles of electromagnetic field theory are proposed. The methods consider the systems of coordinates where the analysis of electromagnetic phenomena is conducted. The effectiveness of the suggested methods for example in calculating electromagnetic processes in movable and immovable media of the turbogenerator is illustrated.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10345654","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139109367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.23919/CJEE.2023.000042
Ehsan Akbari;Milad Samady Shadlu
A wind energy conversion system (WECS) based on a permanent magnet synchronous generator (PMSG) is an effective solution for renewable energy generation in modern power systems. The main advantages of PMSG include high performance at high and low speeds, minimal control effort owing to lower rotor inertia, self-excitation, high reliability, and simplicity of structure compared with induction generators. However, the intermittent nature of wind energy implies that maximum efficiency is not obtained from this system. Accordingly, maximum power point tracking (MPPT) in wind turbine systems has been proposed to address this problem. Traditional MPPT strategies suffer from severe output power fluctuations, low efficiency, and significant ripples in turbine rotation speed. This paper presents a novel MPPT control strategy based on fuzzy logic control (FLC) and model predictive control (MPC) to extract the maximum power from a PMSG-WECS and control the machine-side and grid-side converters. The simulation results obtained from Matlab/Simulink confirm the superiority of the control model in eliminating the output power fluctuations of the wind generators and accurately tracking the maximum power point. A comparative study between conventional MPPT and control methods is also conducted.
{"title":"A Novel Modified Fuzzy-Predictive Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System","authors":"Ehsan Akbari;Milad Samady Shadlu","doi":"10.23919/CJEE.2023.000042","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000042","url":null,"abstract":"A wind energy conversion system (WECS) based on a permanent magnet synchronous generator (PMSG) is an effective solution for renewable energy generation in modern power systems. The main advantages of PMSG include high performance at high and low speeds, minimal control effort owing to lower rotor inertia, self-excitation, high reliability, and simplicity of structure compared with induction generators. However, the intermittent nature of wind energy implies that maximum efficiency is not obtained from this system. Accordingly, maximum power point tracking (MPPT) in wind turbine systems has been proposed to address this problem. Traditional MPPT strategies suffer from severe output power fluctuations, low efficiency, and significant ripples in turbine rotation speed. This paper presents a novel MPPT control strategy based on fuzzy logic control (FLC) and model predictive control (MPC) to extract the maximum power from a PMSG-WECS and control the machine-side and grid-side converters. The simulation results obtained from Matlab/Simulink confirm the superiority of the control model in eliminating the output power fluctuations of the wind generators and accurately tracking the maximum power point. A comparative study between conventional MPPT and control methods is also conducted.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10345656","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139109561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-06DOI: 10.23919/CJEE.2023.000043
Zekai Shen;Hanqi Dai;Hongwei Mei;Yanxin Tu;Liming Wang
Defects may occur in photovoltaic (PV) modules during production and long-term use, thereby threatening the safe operation of PV power stations. Transient thermography is a promising defect detection technology, however, its detection is limited by transverse thermal diffusion. This phenomenon is particularly noteworthy in the panel glasses of PV modules. A dynamic thermography testing method via transient thermography and Wiener filtering deconvolution optimization is proposed. Based on the time-varying characteristics of the point spread function, the selection rules of the first-order difference image for deconvolution are given. Samples with a broken grid and artificial cracks were tested to validate the performance of the optimization method. Compared with the feature images generated by traditional methods, the proposed method significantly improved the visual quality. Quantitative defect size detection can be realized by combining the deconvolution optimization method with adaptive threshold segmentation. For the same batch of PV products, the detection error could be controlled to within 10%.
{"title":"Defect Detection in c-Si Photovoltaic Modules via Transient Thermography and Deconvolution Optimization","authors":"Zekai Shen;Hanqi Dai;Hongwei Mei;Yanxin Tu;Liming Wang","doi":"10.23919/CJEE.2023.000043","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000043","url":null,"abstract":"Defects may occur in photovoltaic (PV) modules during production and long-term use, thereby threatening the safe operation of PV power stations. Transient thermography is a promising defect detection technology, however, its detection is limited by transverse thermal diffusion. This phenomenon is particularly noteworthy in the panel glasses of PV modules. A dynamic thermography testing method via transient thermography and Wiener filtering deconvolution optimization is proposed. Based on the time-varying characteristics of the point spread function, the selection rules of the first-order difference image for deconvolution are given. Samples with a broken grid and artificial cracks were tested to validate the performance of the optimization method. Compared with the feature images generated by traditional methods, the proposed method significantly improved the visual quality. Quantitative defect size detection can be realized by combining the deconvolution optimization method with adaptive threshold segmentation. For the same batch of PV products, the detection error could be controlled to within 10%.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10345663","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140345499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As fossil fuel stocks are being depleted, alternative sources of energy must be explored. Consequently, traditional thermal power plants must coexist with renewable resources, such as wind, solar, and hydro units, and all-day planning and operation techniques are necessary to safeguard nature while meeting the current demand. The fundamental components of contemporary power systems are the simultaneous decrease in generation costs and increase in the available transfer capacity (ATC) of current systems. Thermal units are linked to sources of renewable energy such as hydro, wind, and solar power, and are set up to run for 24 h. By contrast, new research reports that various chaotic maps are merged with various existing optimization methodologies to obtain better results than those without the inclusion of chaos. Chaos seems to increase the performance and convergence properties of existing optimization approaches. In this study, selfish animal tendencies, mathematically represented as selfish herd optimizers, were hybridized with chaotic phenomena and used to improve ATC and/or reduce generation costs, creating a multi-objective optimization problem. To evaluate the performance of the proposed hybridized optimization technique, an optimal power flow-based ATC was enforced under various hydro-thermal-solar-wind conditions, that is, the renewable energy source-thermal scheduling concept, on IEEE 9-bus, IEEE 39-bus, and Indian Northern Region Power Grid 246-bus test systems. The findings show that the proposed technique outperforms existing well-established optimization strategies.
{"title":"Calculation of Available Transfer Capability Using Hybrid Chaotic Selfish Herd Optimizer and 24 Hours RES-thermal Scheduling","authors":"Kingsuk Majumdar;Provas Kumar Roy;Subrata Banerjee","doi":"10.23919/CJEE.2023.000032","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000032","url":null,"abstract":"As fossil fuel stocks are being depleted, alternative sources of energy must be explored. Consequently, traditional thermal power plants must coexist with renewable resources, such as wind, solar, and hydro units, and all-day planning and operation techniques are necessary to safeguard nature while meeting the current demand. The fundamental components of contemporary power systems are the simultaneous decrease in generation costs and increase in the available transfer capacity (ATC) of current systems. Thermal units are linked to sources of renewable energy such as hydro, wind, and solar power, and are set up to run for 24 h. By contrast, new research reports that various chaotic maps are merged with various existing optimization methodologies to obtain better results than those without the inclusion of chaos. Chaos seems to increase the performance and convergence properties of existing optimization approaches. In this study, selfish animal tendencies, mathematically represented as selfish herd optimizers, were hybridized with chaotic phenomena and used to improve ATC and/or reduce generation costs, creating a multi-objective optimization problem. To evaluate the performance of the proposed hybridized optimization technique, an optimal power flow-based ATC was enforced under various hydro-thermal-solar-wind conditions, that is, the renewable energy source-thermal scheduling concept, on IEEE 9-bus, IEEE 39-bus, and Indian Northern Region Power Grid 246-bus test systems. The findings show that the proposed technique outperforms existing well-established optimization strategies.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10345655","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139109366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.23919/CJEE.2023.000031
Youzhen Wu;Jianxiao Wang;Yiyang Song;Yunyun Xie
In power grids, the frequency is increasing of extreme accidents which have a low probability but high risk such as natural disasters and deliberate attacks. This has sparked discussions on the resilience of power grids. Energy-storage systems (ESSs) are critical for enhancing the resilience of power grids. ESSs, with their mechanism of flexible charging and discharging, adjust energy usage as needed during disasters, thereby mitigating the impact on the grid and enhancing security and resilience. This, in turn, ensures the power system's stable operation. Currently, there is limited systematic research quantifying the economic value of energy storage in resilience scenarios. Therefore, a model and methodology were proposed to quantify the value of energy storage systems for enhancing grid resilience during extreme events. A two-stage stochastic optimization mathematical model was developed. The first stage involves pre-deployment based on day-ahead expectations, and the second stage involves simulating potential failure scenarios through real-time scheduling. Considering the temporal dimension, the energy storage systems with flexible regulation capabilities was used as emergency power sources to reduce occurrences of load-shedding. Here, a novel index was proposed that quantifies the resilience value of energy storage as the economic value of energy storage per unit of capacity, as reflected in the emergency dispatch model. This index helps determine the balance between the energy storage investment cost and resilience value. Finally, an IEEE-30 node transmission system was used to verify the feasibility and effectiveness of the proposed method. The findings revealed a significant improvement in the resilience value, with a 23.49% increase observed when energy storage systems were implemented compared to the scenario without energy storage systems. The optimal capacity configurations for the flywheel, lithium-ion batteries, and pumped hydro storage were 10 MW, 11 MW, and 12 MW, respectively, highlight their potential to maximize value in experimental system.
{"title":"Resilience-Oriented Valuation for Energy Storage Amidst Extreme Events","authors":"Youzhen Wu;Jianxiao Wang;Yiyang Song;Yunyun Xie","doi":"10.23919/CJEE.2023.000031","DOIUrl":"https://doi.org/10.23919/CJEE.2023.000031","url":null,"abstract":"In power grids, the frequency is increasing of extreme accidents which have a low probability but high risk such as natural disasters and deliberate attacks. This has sparked discussions on the resilience of power grids. Energy-storage systems (ESSs) are critical for enhancing the resilience of power grids. ESSs, with their mechanism of flexible charging and discharging, adjust energy usage as needed during disasters, thereby mitigating the impact on the grid and enhancing security and resilience. This, in turn, ensures the power system's stable operation. Currently, there is limited systematic research quantifying the economic value of energy storage in resilience scenarios. Therefore, a model and methodology were proposed to quantify the value of energy storage systems for enhancing grid resilience during extreme events. A two-stage stochastic optimization mathematical model was developed. The first stage involves pre-deployment based on day-ahead expectations, and the second stage involves simulating potential failure scenarios through real-time scheduling. Considering the temporal dimension, the energy storage systems with flexible regulation capabilities was used as emergency power sources to reduce occurrences of load-shedding. Here, a novel index was proposed that quantifies the resilience value of energy storage as the economic value of energy storage per unit of capacity, as reflected in the emergency dispatch model. This index helps determine the balance between the energy storage investment cost and resilience value. Finally, an IEEE-30 node transmission system was used to verify the feasibility and effectiveness of the proposed method. The findings revealed a significant improvement in the resilience value, with a 23.49% increase observed when energy storage systems were implemented compared to the scenario without energy storage systems. The optimal capacity configurations for the flywheel, lithium-ion batteries, and pumped hydro storage were 10 MW, 11 MW, and 12 MW, respectively, highlight their potential to maximize value in experimental system.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873788/10272329/10272567.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49939877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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