Wangling He, Ke Zhang, Baoquan Wan, Jun Zhao, Yinlu Zhang, Yunpeng Liu, Dasen Zhou, Tianyu Zhang
{"title":"Study on transient electric shock characteristics between human body and metal clothes hanger on residential platform near UHV AC transmission lines","authors":"Wangling He, Ke Zhang, Baoquan Wan, Jun Zhao, Yinlu Zhang, Yunpeng Liu, Dasen Zhou, Tianyu Zhang","doi":"10.1049/gtd2.13307","DOIUrl":"https://doi.org/10.1049/gtd2.13307","url":null,"abstract":"<p>With the development of ultra-high-voltage (UHV) and extra-high-voltage transmission lines in China, the transmission lines are gradually approaching the residential areas. The phenomenon of induced electric shock caused by electrostatic induction effect can cause dissatisfaction and complaints from nearby residents. In this paper, a full-size steel-framed residential test platform was constructed near a 1000-kV UHV alternating current (AC) transmission line, the transient shock characteristics of human bodies and metal hangers in different scenarios was investigated, then the relationship between transient shock energy and subjective perception of the human body was discussed. In addition, the shielding effect of shielding wires for transient electric shock situations is analyzed. It was found that the worst-case scenario occurred when the grounded human body came into contact with the insulated metal clothes hanger, even eliciting a noticeable sensation of pain. In addition, increasing metal shielding wire number has a significant effect on weakening induced electric shocks.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 22","pages":"3646-3656"},"PeriodicalIF":2.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13307","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Md. Saiful Islam, Israt Jahan Bushra, Tushar Kanti Roy, Subarto Kumar Ghosh, Amanullah Maung Than Oo
{"title":"Enhanced composite controller for PV/PMSG/PEMFC and BESS-based DC microgrids voltage regulation: Integrating integral terminal sliding mode controller and recursive backstepping controller","authors":"Md. Saiful Islam, Israt Jahan Bushra, Tushar Kanti Roy, Subarto Kumar Ghosh, Amanullah Maung Than Oo","doi":"10.1049/gtd2.13305","DOIUrl":"https://doi.org/10.1049/gtd2.13305","url":null,"abstract":"<p>The variability of renewable energy sources due to weather patterns often leads to a mismatch between power generation and consumption within microgrids (MGs). This challenge is exacerbated when integrating bio-renewable units, complicating stability maintenance in MGs. This research work introduces a novel solution to address this issue: a composite controller merging an integral terminal sliding mode controller with a recursive backstepping controller for direct current MGs (DCMGs). The proposed DCMG incorporates solar photovoltaic units, wind farms based on permanent magnet synchronous generators, proton exchange membrane fuel cells fuelled by hydrogen gas, an electrolyser, battery energy storage systems, and DC loads. First, a comprehensive mathematical model for the components within the DCMG is developed to design the proposed composite controller. This controller not only overcomes the inherent limitations and convergence issues of conventional SMCs but also ensures stable DC-bus voltage and maintains power balance across various operational conditions. Moreover, a fuzzy logic-based energy management system is introduced to regulate power flow, considering factors like battery state of charge and renewable energy sources' total power output. The control Lyapunov function confirms the DCMG system's asymptotic stability. Finally, the proposed controller's effectiveness is validated through simulations on both MATLAB/Simulink and Arduino Mega 2650 processor-in-the-loop platforms under various operational conditions. In both platforms, the proposed controller surpasses an existing controller in terms of settling time, overshoot, and tracking error of the DC-bus voltage.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 22","pages":"3608-3632"},"PeriodicalIF":2.0,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13305","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhancing distance protection in transmission grids with high penetration of renewable energy sources through cooperative protection","authors":"Sayed Mahdi Koloushani, Seyed Abbas Taher","doi":"10.1049/gtd2.13295","DOIUrl":"https://doi.org/10.1049/gtd2.13295","url":null,"abstract":"<p>This article introduces innovative protection strategies, including cooperative protection, for power transmission grids amidst a significant shift towards renewable energy sources (RES) such as wind and solar power, as well as inverter-based resources (IBRs). The method employs a global consensus algorithm to achieve cooperative protection efficiently. This scheme leverages consensus protocols to dynamically oversee distance relay decisions, ensuring efficient fault detection and localization. The decentralized nature of the proposed method enhances robustness and security, while its high-speed operation is ensured through non-iterative global consensus algorithms, which provide rapid fault detection and localization crucial for real-time protection. By incorporating virtual leaders and leveraging existing communication infrastructure, the method achieves superior selectivity in identifying faulty lines, enhancing the reliability and stability of power transmission grids with high-RES penetration. Notably, the method does not require learning and training processes, making it adaptable to varying power system topologies without the need for extensive retraining or adaptation periods. The proposed methodology enables simultaneous participation in multiple protection zones by establishing interaction rules between agents. Virtual leaders simplify the selection of protection areas, enhancing scalability and fault localization. Simulation results conducted on the IEEE 39-bus test system validate the effectiveness of the proposed method.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 21","pages":"3462-3475"},"PeriodicalIF":2.0,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13295","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A node deployment and resource optimization method for CPDS based on cloud-fog-edge collaboration","authors":"Xiaoping Xiong, Geng Yang","doi":"10.1049/gtd2.13286","DOIUrl":"https://doi.org/10.1049/gtd2.13286","url":null,"abstract":"<p>With the development of the Internet of Things (IoT) in power distribution and the advancement of energy information integration technologies, the explosive growth in network data volume caused by massive terminal devices connecting to the power distribution network has become a significant challenge. Multi-terminal collaborative computing is a key approach to addressing issues such as high latency and high energy consumption. In this article, fog computing is introduced into the computing network of the power distribution system, and a cloud-fog-edge collaborative computing architecture for intelligent power distribution networks is proposed. Within this framework, an improved weighted K-means method based on information entropy theory is presented for node partitioning. Subsequently, an improved multi-objective particle swarm optimization algorithm (MWM-MOPSO) is employed to solve the task resource allocation problem. Finally, the effectiveness of the proposed architecture and allocation strategy is validated through simulations on the OPNET and PureEdgeSim platforms. The results demonstrate that, compared to traditional cloud-edge service architectures, the proposed architecture and task offloading scheme achieve better performance in terms of processing latency and energy consumption.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 21","pages":"3524-3537"},"PeriodicalIF":2.0,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13286","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dinanath Prasad, Narendra Kumar, Rakhi Sharma, Majed A. Alotaibi, Hasmat Malik, Fausto Pedro García Márquez, Mohammad Asef Hossaini
{"title":"Stochastic-gradient-based control algorithms for power quality enhancement in solar photovoltaic interfaced three-phase distribution system","authors":"Dinanath Prasad, Narendra Kumar, Rakhi Sharma, Majed A. Alotaibi, Hasmat Malik, Fausto Pedro García Márquez, Mohammad Asef Hossaini","doi":"10.1049/gtd2.13300","DOIUrl":"https://doi.org/10.1049/gtd2.13300","url":null,"abstract":"<p>Here, stochastic-gradient-based adaptive control algorithms have been discussed and employed for power quality enhancement in a Photovoltaics (PV) integrated distribution system. Least mean square (LMS), least mean fourth (LMF), sign-error LMS, and <span></span><math>\u0000 <semantics>\u0000 <mi>ε</mi>\u0000 <annotation>$epsilon $</annotation>\u0000 </semantics></math>-normalised LMS (<span></span><math>\u0000 <semantics>\u0000 <mi>ε</mi>\u0000 <annotation>$epsilon $</annotation>\u0000 </semantics></math>-NLMS) have been implemented as control algorithms for the estimation of fundamental load current. The performances of these adaptive algorithms are compared under steady-state and dynamic conditions under the non-linear load conditions in a closed-loop three-phase system. The main aim of implementing these algorithms is reactive power compensation, power quality enhancement, and load balancing in a single-stage three-phase grid-tied PV system. The hysteresis current control (HCC) technique is used to generate switching pulses for the three-phase Distribution Static Power Compensator (DSTATCOM). An MPPT is also employed to ensure maximum power delivery from the solar PV array. PV integrated three-phase single-stage distribution system with adaptive control algorithms is implemented in MATLAB/Simulink environment as well as in experimental environment to achieve the goals per standard IEEE-519.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 22","pages":"3567-3578"},"PeriodicalIF":2.0,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13300","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Short-circuit current of a hydropower plant with consideration of constant switching and fault arc voltages","authors":"Darko Brankovic, Robert Schuerhuber","doi":"10.1049/gtd2.13297","DOIUrl":"https://doi.org/10.1049/gtd2.13297","url":null,"abstract":"<p>The correct generator circuit breaker (GCB) dimensioning is essential for the safe and reliable operation of a power plant or generation system. The dimensioning is usually based on standardized calculation methods according to standards (IEC standard 60909-0, IEC/IEEE standard 62271-37-013, IEEE Std C37), often supplemented by selected transient calculations. A non-systematic approach can often be observed here, which does not adequately take into account significant influencing variables or operating states of the generator. This article therefore systematically examines various parameters that influence the short-circuit current components of the generator and are relevant for the dimensioning of the generator circuit-breaker: short-circuit angle, operating point, impedance ratios, phase clearing, switching arc, and fault arc. The results of the current parameters most relevant to the dimensioning of the GCB were then compared for different calculation methods. Special attention was paid to the effect of the switching and fault arc, which were modelled as a constant arc voltage, and its effect on the short-circuit currents is systematically recorded. This work aims to summarize all relevant variables that influence the generator short-circuit current and are relevant for the dimensioning of the GCB and to present the different results based on a short-circuit calculation according to the standard and transient calculation to create a basis for a proper dimensioning of the generator circuit breaker.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 21","pages":"3476-3486"},"PeriodicalIF":2.0,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13297","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, Carlos Frederico de Oliveira Barros, Rodolfo Cardoso, Gabriel Villarrubia Gonzalez
{"title":"Wavelet CNN-LSTM time series forecasting of electricity power generation considering biomass thermal systems","authors":"William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, Carlos Frederico de Oliveira Barros, Rodolfo Cardoso, Gabriel Villarrubia Gonzalez","doi":"10.1049/gtd2.13292","DOIUrl":"https://doi.org/10.1049/gtd2.13292","url":null,"abstract":"<p>The use of biomass as a renewable energy source for electricity generation has gained attention due to its sustainability and environmental benefits. However, the intermittent electricity demand poses challenges for optimizing electricity generation in thermal systems. Time series forecasting techniques are crucial in addressing these challenges by providing accurate predictions of biomass availability and electricity generation. Here, wavelet transform is applied for denoising, convolutional neural networks (CNN) are used to extract features of the time series, and long short-term memory (LSTM) is applied to perform the predictions. The result of the mean absolute percentage error equal to 0.0148 shows that the wavelet CNN-LSTM is a promising machine-learning methodology for electricity generation forecasting. Additionally, this paper discusses the importance of model evaluation techniques and validation strategies to assess the performance of forecasting models in real-world applications. The major contribution of this paper is related to improving forecasting using a hybrid method that outperforms other models based on deep learning. Finally, future research directions and potential advancements in time series forecasting for biomass thermal systems are outlined to foster continued innovation in sustainable energy generation.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 21","pages":"3437-3451"},"PeriodicalIF":2.0,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13292","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Gholami, Aref Eskandari, Sajjad Fattaheian-Dehkordi, Matti Lehtonen
{"title":"Optimizing decentralized implementation of state estimation in active distribution networks","authors":"Mohammad Gholami, Aref Eskandari, Sajjad Fattaheian-Dehkordi, Matti Lehtonen","doi":"10.1049/gtd2.13296","DOIUrl":"https://doi.org/10.1049/gtd2.13296","url":null,"abstract":"<p>The challenges facing active distribution networks have highlighted the position of the distribution system state estimation (DSSE) process in the distribution management systems as its most important function. Here, regarding the extensive scale of distribution networks and the weaknesses of centralized methods, the decentralized implementation of the DSSE process has received considerable attention. However, predefined network partitioning is supposed in previous works and zone size effects on the performance of the DSSE process have not been assessed. In response, a method for finding the optimal number of network zones and their size is proposed here. For this purpose, initially, an algorithm is used to partition the network into all possible configurations with different sizes. Subsequently, performance metrics affected by zone sizes, such as execution time, accuracy of the DSSE results, and reliability in achieving the results at the control centre, are modelled. Finally, by applying the decentralized DSSE method across all partitioning scenarios and calculating performance metrics, the most efficient and cost-effective partitioning scenario can be identified. The performance of the proposed method is evaluated using the modified 77-bus UK distribution network as an active test case, and the findings are subsequently presented and analysed.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 21","pages":"3538-3553"},"PeriodicalIF":2.0,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13296","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-objective and multi-stage low-carbon planning of park integrated energy system considering random outages from superior power grid","authors":"Xunpu Jiang, Zhejing Bao, Jianwei Chen, Miao Yu","doi":"10.1049/gtd2.13303","DOIUrl":"https://doi.org/10.1049/gtd2.13303","url":null,"abstract":"<p>This article proposes a multi-objective and multi-stage low-carbon planning approach for park integrated energy systems (PIES) considering the impacts of random outages from the superior electrical grid. This approach incorporates optimal multi-stage construction sequencing and stepped carbon emission trading to leverage the economic and low-carbon benefits of long-term planning. First, the islanding modes of PIES are described using four random variables: island type, duration, start time, and typical day of occurrence, from which islanding scenarios are generated based on scenario tree. Next, a multi-objective planning model that considers both economics and reliability is constructed, with the objectives of minimizing the total lifecycle planning cost and the expected economic loss during islanding. The improved Normalized Normal Constraint (NNC) method is proposed to solve the multi-objective planning problem. Then, the fuzzy membership function is used to determine the optimal compromise solution, resulting in a planning scheme that balances economic efficiency and supply reliability. Finally, simulations indicate that, at the cost of a slight increase in planning expenses, the proposed model significantly reduces the loss costs under islanding modes compared with single-objective economic-focused planning. Additionally, the improved NNC method can achieve a more uniform Pareto frontier compared with the conventional NNC method.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 22","pages":"3592-3607"},"PeriodicalIF":2.0,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13303","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qinglin Meng, Xinyu Tong, Sheharyar Hussain, Fengzhang Luo, Fei Zhou, Ying He, Lei Liu, Bing Sun, Botong Li
{"title":"Enhancing distribution system stability and efficiency through multi-power supply startup optimization for new energy integration","authors":"Qinglin Meng, Xinyu Tong, Sheharyar Hussain, Fengzhang Luo, Fei Zhou, Ying He, Lei Liu, Bing Sun, Botong Li","doi":"10.1049/gtd2.13299","DOIUrl":"https://doi.org/10.1049/gtd2.13299","url":null,"abstract":"<p>This paper addresses the challenge of maximizing power capture from new energy sources, including coal, wind, solar, and hydroelectric power, which often lack sufficient inertia support. This deficiency can lead to frequency instability and cascading failures within the power system. A cooperative optimization model for the start-up of multiple power supplies, designed to enhance the integration of new energy sources while maintaining system stability is proposed. The model incorporates primary frequency modulation and the intrinsic inertia support capabilities of self-synchronous voltage source field stations, considering dynamic frequency constraints. Additionally, it employs new energy units with primary frequency modulation to provide inertia support during curtailment, particularly when conventional units cannot meet frequency standards due to existing constraints. Extensive simulations and comparative analyses demonstrate that the proposed model improves new energy utilization by up to 37.5% and reduces operational costs by approximately 16%, enhancing overall operational efficiency in high energy consumption scenarios.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"18 21","pages":"3487-3500"},"PeriodicalIF":2.0,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.13299","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}