Abstract: Artificial intelligence is the science of automating intelligent behaviours currently achievable by humans. SEMINAR ABSTRACT ON Artificial Intelligence in Power Stations, Artificial intelligence in Power Stations, Artificial intelligence in power systems seminar presentation, ARTIFICIAL INTELLIGENCE APPLICATION TO POWER SYSTEM PROTECTION, Reliability improvement in distribution system using smart grid technology, Intelligent management of electrical systems in industries, FUZZY LOGIC APPROACH FOR FAULT DIAGNOSIS OF THREE PHASE TRANSMISSION LINE, Rf Based Energy Meter Using 8051 Microcontroller, Substation communication architecture to realize the future smart grid. Because of the distinctions between smart substation administration and traditional substation administration, Figure 1 depicts the six primary procedures used to carry out smart substation maintenance. This determines how precise our results are when comparing to other conventional results. the theory and practice along with knowledge sharing between researchers, developers, Eliminating certain stop words as the very first step in pretreatment has shown to be quite significant. maintenance costs based on the integrated management of Furthermore, when compared to earlier techniques, both the training and testing datasets had the highest R2 rate. Here, the proposed technique attains the highest precision rate in the proposed techniques training set (93.58%) than the testing set (88.21%). Document indexing is the process of selecting the right collection of keywords from the entire corpus of documents and giving weights to such keywords for every individual text, thereby converting all files into a vector of keyword weights. Abstract. To replace RNN neurons, LSTM employs memory blocks with three types of gates (input, forget, and output gates). Todays conventional 6, pp. The result of R2 for both proposed and existing strategies is indicated in Figure 9. At last, the proposed technique was carried out in the comparative analysis with certain existing techniques to attain the greatest effectiveness in the operation and maintenance of the powerful hardware assets in the power substation in terms of veracity, precision, recall, and MAPE, training time, and R2-value. [5]). Abstract Carbon discharges from monetary movement proceed to rise and India is the third-biggest emitter among individual nations. The Genhe Aging Test Station is built, operated, and maintained by the State Grid Mengdong Electric Power Research Institute (Wang et al. J. Zhang, Y. Fu, Y. Hu, D. Wang, and Y. Zhao, Comprehensive review of intelligent operation and maintenance of power system in China, in Proceedings of the International Conference on Artificial Intelligence and Security, pp. Chen et al. Bai et al. Accurate evaluation of power equipment status affects substation risk assessment and maintenance. 13181324, IEEE, Beijing, China, september 2019. IRJET-A Novel Approach for Automatic Monitoring of Power Consumption using S Technologies used in Smart grids for power distribution, 3 PHASE INVERTER WITH SPEED CONTROL FOR ELECTRIC CARS, Improvement in solar panel efficiency using solar concentation, A Smart Turbine Speed Regulator Design for Hydroelectric Plants. Wang et al. From the equipments historical and real-time data and the grids operational and environmental data, indicators or the shifting pattern of important factors that can anticipate its future operation more accurately can be identified. of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0). different heat sources, fossil fuel dominates here, although nuclear heat energy and solar heat energy are also used[2]. access not only to world class research resources, but through its professionals publication of peer reviewed and refereed international journals from diverse fields The direct methods involve acquiring an NX core sample and using sophisticated laboratory procedures to determine UCS. The genetic algorithm (GA) is used to improve the effectiveness of the proposed method. People will be more and more interested in machine learning, AI, and other intelligent technologies, in terms of SCM. [3]], Glove-BiLSTM-Attention [Chen et al. Z. Zhang, S. Zhang, and J. Hu, Calculation model of operation and maintenance costs of a substation project in electricity market environment, in Proceedings of the 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON), pp. The forecast of the present condition of power distribution and transformation apparatus is typically based on some leading factors as the forecasting objective due to the complicated working conditions and various index factors. One of the most powerful tools in faults detection and diagnosis is artificial intelligence (AI). 65096517, 2020. Abstract To fulfill state grid Industry's demands for smart and digitized business growth, traditional technological approaches have fallen short. This is an Open Access article distributed under the terms This is the variance of a set of datasets, and the elements are the median vectors of each group. ROLL NO:21, Do not sell or share my personal information. This is to certify that this seminar report entitled ARTIFICIAL INTELLIGENCE IN POWER STATION is an authentic report of the seminar presented by PRAJISHA in partial fulfillment of the requirements for the award of the diploma in Electronics and Communication Engineering under the Directorate of Technical Education, Government of Kerala during th. From this investigation, the proposed technique has the lowest MAPE (19.13%) compared with existing techniques. grid resilience have also been discussed in this paper. The long-term accumulation of test/patrol examination data, malfunction records, and servicing documentation are what make up the bulk of the textual data for power transformers. Substation equipment is briefly described in terms of its energy-related functions, classifications, and uses. I. Ivankovi, D. Peharda, D. Novosel, K. ubrini-Kostovi, and A. Kekelj, Smart grid substation equipment maintenance management functionality based on control center SCADA data, Journal of Energy: Energija, vol. Original music by Dan Powell , Sophia Lanman , Marion . The three distinctive life-cycle phases, design, control, and maintenance are correlated with one or more tasks to be addressed by AI, including optimization, classification, regression, and data structure exploration. Nevertheless, as the development of large power networks progresses, the frequency of substations continues to rise. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. The implementation models, fundamental assumptions, and potential uses of artificial intelligence technology in the power system will serve as the starting points for the subsequent discussion. online ISSN 2456-6470. Equations (2) and (3) are used to calculate the scatter measurements. $209 $349 Save $140. 3035, 2022. BibTeX [17] proposed 5G communication system architecture that is used in this study to implement wireless heterogeneous networking. as physics-guided neural networks to improve ML regressions for solar data and . The growth in electricity demand and the development of grid modernization have increased the complexity of power grid and driven the grid more vulnerable to extreme events like environmental disasters or man-made attacks. Decision-making, forecasting and even operational optimization of grids and assets are just some of the solutions that AI algorithms can provide to operators, utilities and vendors. The predicted models anticipated R-squared reveals how accurate it is at predicting fresh measurements reactions. This method can be applied in all states for the best results. Substation equipment should be overhauled on schedule according to a company-wide strategy. The dependability of the power system functioning, maintenance costs, and related hazards were all taken into consideration in this maintenance approach. Primary procedures for smart substation maintenance. A number of select systems are described briefly and application areas suggested include security assessment, operator training, and planning. 14, California, USA, October 2016. The breakdown of power equipment can be characterized as either a good or bad event. He, Achieving predictive and proactive maintenance for high-speed railway power equipment with LSTM-RNN, IEEE Transactions on Industrial Informatics, vol. Any truly resilient communications protocol must be capable of immediate redeployment to meet quality of service (QoS) demands in a wide variety of possible channel media. The topic is interesting, even more so at this time when artificial intelligence has attracted more attention, in various aspects, such as academic, security . Those disruptions can cause outages, cascading failures, and blackouts. As our efforts to understand, utilize and settle space rapidly take new form, three distinct human-space interfaces are emerging, defined here as the 'Earth-for-space', 'space-for-Earth' and 'space-for-space' economies. Feature extraction employs kernel-based linear discriminant analysis (K-LDA). The exhaust heat generated by the Gas Power Plant has a high value of around 500C. Faults should be detected early so correct . Zhaoli et al.s [19] goal was to enhance the operational stability of the substation DC system and achieve lean operation and maintenance; this study provides a design scheme for the DC power management system after considering the current and new DC power management issues. Equation (6) is used to calculate the covariance matrix. Therefore, this paper aims to systematically review the existing application of machine learning methods on power system resilience enhancement, to expand the interest of researchers and scholars in this topic, and to jointly promote the application of artificial intelligence in the field of power systems. that emphasizes new research, development and their applications. According to the . Artificial intelligence is the science of automating intelligent behavior which. 2. G. Li, W. Wang, Y. Qi, and M. Cui, Defect text analysis method of electric power equipment based on double-layer bidirectional LSTM model, in Proceedings of the 2019 IEEE 3rd International Electrical and Energy Conference (CIEEC), pp. The main goal of the research is to . These figures are shown below. Natural genetics can be utilized to create a new group that is similar to the original one through crossover and mutation. The validation tests in which, The growing numbers of application areas for artificial intelligence (AI) methods have led to an explosion of domain-specific accelerators that could support every new machine learning (ML) algorithm advancement, clearly highlighting the need for a capability to quickly and automatically transition from algorithm definition to hardware implementation and explore design space along a variety of SWaP (size, weight and Power). K. Wang, Y. Zhao, Q. Qian, Z. Zhao, and R. Wang, 5G+ AR substation operation and maintenance technology, in Proceedings of the 2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS), pp. These are particularly fascinating because they demonstrate how quadratic development may be understood as putting data into the eigenvectors highest discerning planes. Text mining algorithms can handle data with fewer terms thanks to dimension reduction, which reduces the dimensions used by clustering approaches. developments, the following savings for the whole system can be Make the test sets and data for categorizing the source field. Many studies use time-consuming and labor-intensive manual selection procedures like grid search to find parameters for the HCNN-TLSTM model, making it difficult to find the most optimal parameters. The CAD-IOMPSE approach also generates superior accuracy, recall, and F-measure results (Song et al. The correct response to crises at the station. Salihu and Zayyanu [16] examined the samples taken from vegetable farms in Zamfara State, Nigeria, for thermodynamic and organophosphate agrochemicals. By combining the original and subsequent inputs, TLSTM can enhance prediction accuracy. It is a calculation that indicates how many right positive predictions were produced out of the total number of possible positive predictions. Citation Rahmat Izaizi B. Ismail et al 2016 IOP Conf. Zhang et al. Faults should be detected early so correct mitigation measures can be taken, whilst false alarms should be eschewed to avoid unnecessary interruption and downtime. With increased competitiveness in power generation industries, more resources are directed in optimizing plant operation, including fault detection and diagnosis. Luo et al. Gradient fading is caused by gradually multiplying the weight matrix and the reciprocal of the tanh (from 0 to 1) function, which increases as the data interval (the indicated fixed length) grows longer. The maintenance plan implementation involves three phases: planning, execution, and summary. . The data used to support the findings of this study are available from the corresponding author upon request. Between March 10 and April 13 of the year, researchers in Xinjiang Province obtained the information. In this investigation regarding the substation power equipment breakdown forecasting, the various performance metrics are estimated for both proposed and current techniques as depicted in Figures 610. K. Sun, T. Jing, X. like Sciences, Technology, Innovation, Engineering, Agriculture, Management and RIS. At the same time, with the promotion of flexible electronic technology 5, big data technology 6,7 and artificial intelligence technology 8, portable and wearable electronic devices have shown the . The main component responsible for this task is the pressurizer. For the last few decades there has been major interest towards intelligent condition monitoring system (ICMS) application in power plant especially with AI development particularly in artificial neural network (ANN). Simulation and experimental hardware show how deep modulation can converge to viable communications links, using the same machine intelligence, in vastly different channels. Finally, the presented techniques performance is analyzed and compared with specific current models to achieve the largest performance in the proposed method for the management of substation operation and upkeep. Artificial Intelligence in Power Stations ABSTRACT Recently, due to concerns about the liberalization of electricity supply, deregulation, and global impact on the environment, securing a reliable power supply has become an important social need worldwide. When it comes to activities such as detection, forecasting, improvement, and judgment, the latest innovative methods and research topics for power equipment maintenance and operation are being provided by AI technological innovation and breakthroughs in effectiveness, reliability, and self-learning capability. The integration of power electronics enabled devices and the high penetration of renewable energy drastically increase the complexity of power system operation and control. The result of recall for both proposed and existing strategies is indicated in Figure 8. aim to bring in a significant transformation in the real of open access journals Here, =forget gate during the time (t), =input gate during t, =output gate during t, =candidates of input to be stored at t, =memory cells at t, ht=hidden state at t, Xt=input vectors at t, =bias vector of forget gate, =bias vector of input gate, =bias vector of output gate, and =bias vector of candidates of the input. S. O. Salihu and I.. Zayyanu, Assessment of Physicochemical parameters and Organochlorine pesticide residues in selected vegetable farmlands soil in Zamfara State, Nigeria, Science Progress and Research (SPR), vol. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. This site uses cookies. Volume 32, IOP Conference Series: Earth and Environmental Science, For the Conv2d layer, it has been allocated to the m-layer. Compliance with technical specifications for building smart laboratories and substations, as well as responses to requirements for building an IoT system, will be required. First, the Tanimoto is used to integrate ORB recognition with the three-dimensional registering approach for correlating characteristics. Artificial Intelligence in Power Station. Based on an examination of the energy consumption data collecting technique, calculation foundation, and analysis method, the monitoring application of power equipment in the substation is developed. Zhang et al. Submitted by, The Hadamard product was indicated as among two matrices. On the other hand, the class-dependent transform is employed to choose the optimum criterion. Because distinct terms in a text have varying degrees of value, the term weight has been used to indicate the significance of each term. Chinas text categorization difficulty is broken down into a series of five steps of processing. Under this research, we make use of a relatively large electric grid database (Lyu et al. The aim of the paper is to investigate the possibility of using artificial intelligence in photovoltaic energy production forecasting. Tibet was chosen after the state grid narrowed its search to 5 typical environments throughout the country for the construction of five composite insulating material aging stations. The field of computer science known as natural language processing (NLP) is more particularly the field of artificial intelligence (AI) that is focused on providing machines the capacity to comprehend written verbal speech like that of humans. 3, pp. Artificial Intelligence in Power Station Seminar report. When compared to choosing all the variables of the HCNN-TLSTM model with the best performance using an exhaustive technique, this will save a significant amount of time. Maintaining and eliminating faulty substations is currently the primary responsibility of the local smart substation maintenance department. ABSTRACT 54. The addition of TLSTM system components improves the models ability to anticipate future events, according to studies. 341349, Springer, Singapore, July 2021. The aim of this organization is to provide Moreover, the precision rate of both the training and testing datasets has the highest effectiveness than that of existing techniques. We apply the TLSTM approach in the prediction phase for effective prediction. The recurrent neural network (RNN) succeeds in comprehending time-series data due to its internal states ability to reflect dynamic temporal properties. A convolutional layer, a pooling layer, and a flattening layer make up the CNN system. 946953, May 2022. B. For both training and testing datasets, this metric is used to evaluate the accurateness of the new measurements reactions to proposed and present techniques, and this metric is expressed in percentage. It is important to note that all of the information gathered throughout this technique gives details on equipment functioning conditions and problem propagation across the process. Hence, precision is effective and plays a vital role in comparison. [6] demonstrate that the transmission substations reliability-centered maintenance (RCM) is the subject of this study. 2022, Article ID 5695453, 11 pages, 2022. Putting it into action is the key to success. 16, IEEE, Chongqing, China, November 2021. Abstract. Among the most crucial technological tools for progressing in a targeted and effective manner, domestic intelligent substation maintenance is in charge of substation upkeep and removal at the current count. The results of both forward and backward computations, whose designs are congruent with the architecture of LSTM memory blocks, make up TLSTMs final output. Equation (21) is used to evaluate the recall rate of proposed and current approaches for both training and testing datasets, and this measure is expressed in percentage. Export citation and abstract 2021, Article ID 2824689, 8 pages, 2021. A 'Space Renaissance' is underway. In this paper, the studies of ANN and genetic algorithm (GA) application will be presented. The original data sets are shown, as well as the identical data sets following modification. It gives accurate results. This paper suggested a new HCNN-TLSTM technique to manage such operations and maintenance issues of the powerful hardware assets in the substation. In this paper, the studies of ANN and fuzzy logic application will be presented. The HCNN-TLSTM method has been proved to be useful in numerous experiments, particularly when making predictions. Our method anticipates each piece of data separately, so we arrange them according to their predictions and use the data as examples. Moreover, challenges and opportunities for future work to enhance smart, Phasor measurement units (PMUs) enable better system monitoring and security enhancement in smart grids. It is urgent to study special computing components for artificial intelligence technology for smart grids to improve computing power. We then discuss the opportunities for even deeper integration afforded by the hardware compilation infrastructure, providing a path towards the generation of complex heterogeneous artificial intelligence systems. The proposed technique is used to anticipate the breakdown of power devices using data from the China power grid. Birta L. G., Arbez G. - Modelling and Simulation_ (2007).pdf, Effect_of_co-digestion_of_food_waste_and_cow_dung_.pdf, Dynali Chickinox Aircraft Flight Manual.pdf, Navy Evaluation of Bell YP-59A Airacomet.pdf, BCI used by Individuals With Tetraplegia.pptx. - 2020 IEEE Power & Energy Society General Meeting (PESGM). Each engenders unprecedented opportunities, and artificial intelligence (AI) will play an essential role in facilitating . 32 012007 [14] illustrate the concept of an artificially intelligent power system that is used. Rather than creating man-made ubiquitous blocks of signal processing, we examine using processing that is immediately expendable once it has been used. The advantage of the MO-TLBO-based MORPP is demonstrated through the comparison with other methods in the literature, in terms of iteration number, optimality and time of convergence. The high exhaust heat temperature can be utilized by Heat Recovery Steam Generator (HRSG) to make superheated steam. 295298, IEEE, Shanghai, China, May 2021. The remainder of the description is divided into five parts: part 2: related works and problem definition, part 3: the proposed works used, part 4: result and discussion, and part 5: conclusion. This study primarily focuses on the surface modification of SSF with silver nanoparticles (Ag . The software defined architectures (SODA) synthesizer implements a compiler-based modular infrastructure for the end-to-end generation of machine learning accelerators from high-level frameworks to hardware description language. Hosted by Sabrina Tavernise. It was utilized to assess the testing method and the produced data using QuEChERS with GC-MS. Wang et al. Therefore, this paper aims to systematically review the existing application of machine learning methods on power system resilience enhancement, to expand the interest of researchers and scholars in this topic, and to jointly promote the application of artificial intelligence in the field of power systems. The purpose of this study is to provide a series of observations to help information professionals understand and anticipate the future developments.,This column delves into artificial intelligence (AI)-powered search and its implications for the open Web to show how multifaceted the impact of generative text AI might be in a single arena.,This . 10, pp. The genetic algorithm-based HCNN-TLSTM approach proposed in this research is an improvement on the HCNN-TLSTM algorithm. A substations functioning and maintenance can then be investigated using the new approach. Abstract: Out of the requirements of the operational monitoring systems of large steam power plants, this paper suggests a scheme for developing the intelligent control systems in steam power plants by using modern artificial intelligence techniques. Finally, we accomplish the greatest degree of veracity, precision, recall, and R2, as well as the lowest rate in MAPE and training time by employing the proposed method than those existing methods. in all subjects. These are on [22]], CAD-IOMPSE [Song et al. H. Wang, Z. Liu, Y. Xu, X. Wei, and L. Wang, Short text mining framework with specific design for operation and maintenance of power equipment, CSEE Journal of Power and Energy Systems, vol. With increased competitiveness in power generation industries, more resources are directed in optimizing plant operation, including fault detection and diagnosis. Compared to current methods, ours takes 250 seconds in training. IET Communications - 2023 - Sawad - Backhaul in 5G systems for developing cou Power Stations To ensure this need is fulfilled, The conventional algorithm includes encoding, initialization, choosing, crossover, mutation, decoding, and other basic GA activities. Chinese text analytics was accomplished using various methodologies, such as stop word removal, stemming, document indexing, and dimension reduction. Abstract Artificial Intelligence otherwise known as AI, it is the development and the theory of some computer systems which are able to undertake certain tasks which will normally need the intelligence of humans. With massive possibility and room for improvement in AI, the inspiration for researching them are apparent, and literally, hundreds of papers have been published, discussing the findings of hybrid AI for condition monitoring purposes. 809816, Springer, Berlin, Germany, March 2019. 628640, Springer, Berlin, Germany, July 2021. Y. Yang and L. Yao, Optimization Method of Power Equipment Maintenance Plan Decision-Making Based on Deep Reinforcement Learning, Mathematical Problems in Engineering, vol.