2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)最新文献

{"title":"ANFIS-Based New Approach for an Optimal Lithium-Ion Battery Charging Control","authors":"Salam Hussein, Ahmed Jabbar Abid, A. Obed","doi":"10.1109/ICPEA56918.2023.10093226","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093226","url":null,"abstract":"Lithium-ion rechargeable batteries are considered one of the most energy storage batteries that are used in several portable electrical devices at present. Unwise charges of lithium-ion batteries can damage or reduce the battery life. Charging methods are several but may conflict with manufacturers- recommendations which leads to shortening battery life and reduced efficiency. This paper presents an Adaptive neuro-fuzzy inference system (ANFIS) system that controls fast charging based on manufacturer recommendations using the CC-CV (Constant Current and Constant Voltage) method on Lithium-Ion batteries. The ANFIS model has been trained based on the recommendations of the manufacturer. Based on the simulation results, the proposed system offers accuracy in the matter of current is 1.28 mA (0.044% of the total capacity).","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"396 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122774000","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}

{"title":"Optimizing Power Plant Development for Fakfak System using Generation Expansion Planning","authors":"A. M. Reza, Anugerah Nur Arif Wicaksono, A. B. Heksaprilla, Wismanto Setyadi, Muhammad Firmansyah, Muhammad. Asyari","doi":"10.1109/ICPEA56918.2023.10093194","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093194","url":null,"abstract":"The Indonesia Power Plant development planning was drafted at Rencana Usaha Penyediaan Tenaga Listrik (RUPTL) or Electricity Supply Business Plan 2021-2030. In actuality, several stated planning needs to be optimized regarding current conditions. A few of them suffered land acquisition issues and one of them happened in the Fakfak system. Two thermal power plants (MPP and GEPP) are planned to be constructed, targeted to COD in 2022 and 2025 respectively. Unfortunately, the land acquisition issues cause those targets can’t be achieved. Using generation expansion planning simulation, those targets can be evaluated based on current conditions and the required electricity supply. Furthermore, developing a photovoltaic power plant (PVPP) becomes a variable to optimize the model. Adding PVPP can give a COD (Commercial Operation Date) target tolerance to the base power plant development (mobile power plant and gas engine power plant). Based on study conditions and assumptions, the regional cost of electricity and carbon emissions intensity will be lower in the presence of PVPP.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125691585","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}

{"title":"Comparative Study of Power System Security Assessment using Deterministic and Probabilistic Methods","authors":"N. Aminudin, I. Musirin, R. H. Salimin, M. A. T. Mat Yusoh, S. Rahim, Y. Yusof","doi":"10.1109/ICPEA56918.2023.10093198","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093198","url":null,"abstract":"Escalating electricity demand has forced the power system to operate very close to its security margin. Any unpredictable occurrence of a contingency would exacerbate the condition and threaten power system security. Thus, it is of utmost importance for the system operator to evaluate the actual system health accurately to avoid voltage collapse incidents and to evade overly conservative protection. This paper presents a risk-based security assessment (RBSA) in power system operation that quantifies the degree of risk faced by the system in its proximity to voltage stability violations due to transmission line outages that occur in the system. The risk value is calculated by considering the closeness of the system condition to the point of instability, which is also regarded as severity, as well as the likelihood of the contingency to occur. In the research, the performance of RBSA is compared with the traditional deterministic method in assessing power system conditions. The IEEE 30 bus system is engaged as the test system, and the simulation is done using MATLAB software.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122966348","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}

{"title":"Educational Building’s Energy Consumption Independent Variables Analysis using Linear Regression Model: A Comparative Study","authors":"R. F. Mustapa, Atiqah Hamizah Mohd Nordin, M. A. Hairuddin, Wan Suhaifiza W Ibrahim, Siti Aliyah Mohd Saleh, N. Dahlan, I. Yassin","doi":"10.1109/ICPEA56918.2023.10093222","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093222","url":null,"abstract":"Baseline energy model is a model that relates the the energy consumption with its respective independent variables in a building. Prior to modelling, the selection of the independent variables was deemed important as it is the factor that governed the energy consumption. Without a proper analysis in selecting the independent variables, the development of the baseline energy model will suffer with impracticality and inaccuracy in prediction. Thus, this paper main objective is to analyze the independent variables that may affect the energy consumption in educational building before a baseline energy model will be developed. Single Linear Regression (SLR) model and Multiple Linear Regression (MLR) model will be used for the analysis purpose. Energy consumption data and independent variable data will be fed into the models. The coefficient of correlation (R) and coefficient of determination (R2) value will be use to analyze the strength of the independent variables towards the energy consumption. Results show that the MLR model has a high value of R and R2 0.91 and 0.84 respectively compared to SLR model that indicates more than one independent variables is affecting the energy consumption. Baseline energy models were developed from the SLR and MLR model where for the future work, energy consumption can be predicted using the baseline energy model.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116476465","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}

{"title":"Optimal Charging Scheduling of Electric Vehicle Considering Minimum Power Loss using Firefly Algorithm","authors":"H. Mohamad, N. Razali, K. Shah, N. A. Salim, K. Naidu","doi":"10.1109/ICPEA56918.2023.10093224","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093224","url":null,"abstract":"With growing concerns about environmental pollution, carbon dioxide emissions, and reliance on fossil fuels energy, electric vehicles have received great attention due to clean and reliable energy supply worldwide. However, random charging of electric vehicles may lower the power system efficiency and affects its total stability. This paper presents an optimal coordinated charging of electric vehicles to achieve minimum power loss using a computational technique i.e., the Firefly Algorithm. The proposed algorithm considered some constraints such as the system’s maximum load demand and voltage profile range and is tested on the IEEE 33-bus radial distribution network. The results are compared between the base load, uncoordinated and coordinated charging. The coordinated charging scheduling is further analyzed by varying the charging rate and observe its impact on the test network. The coordinated charging scheduling is also carried out using Evolutionary Programming and the convergence performance is compared to the proposed Firefly Algorithm. Results obtained show that the proposed algorithm achieves the optimization purpose by minimizing the power loss under a set of constraints.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123888188","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}

{"title":"A Multi-View Clustering based Dynamic Partitioning Method for Distribution Network","authors":"Li Cui, Xia Bingsen, Leng Zhenglong","doi":"10.1109/ICPEA56918.2023.10093151","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093151","url":null,"abstract":"Aiming at solving the division problem of the area-centralized layout in the power distribution network, a dynamic partitioning method of distribution network area based on a multi-view clustering algorithm is proposed. Firstly, a mathematical model is established to calculate the optimal number of clusters considering communication quality and communication cost. Secondly, the Laplacian matrix of distribution network structure and other perspectives, such as the geographic location and the administrative area of distribution network stations are introduced to the distribution network area division by multi-view clustering. Thirdly, one of the stations is selected as the edge computing center to ensure efficient edge computing by combining the clustering center and the actual situation. Finally, the proposed method realizes the effective partitioning of the distribution network and the automatic area adjustment when the structure of distribution network changes. Based on the network structure calculation of 145 stations in a local distribution network, the experimental simulation results verify that the proposed partitioning method is practical and feasible.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129286627","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}

{"title":"Classification of Faults on the Shipboard Distribution Power System","authors":"Mohd Abdul Talib Mat Yusoh, Ahmad Farid Abidin, Nadiah Binti Mohamad Bakar Mohd Basri, Nor Zulaily Mohamad, N. H. Nik Ali, Choong Chin Aun","doi":"10.1109/ICPEA56918.2023.10093171","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093171","url":null,"abstract":"This paper discusses the issue of electrical power quality and how it affects the ship safety. Since the new techniques for producing and utilizing electrical energy in the ship systems have been introduced, there is a need to consider the increase in the significance of Power Quality (PQ). The objective of this paper is to classify the PQ disturbances on the ship using Ensemble Bagged Tree, Nearest Neighbors and Support Vector Machine. Hence, the electrical model on the ship distribution system is develop based on the real measurement data. The types of PQ disturbances that has been considered in this classification scheme are voltage sag, voltage swell, and combination of voltage swell and voltage transient. In order to get the high performances in the classification scheme, the S-Transform (ST) is chosen to extract the significant features used by the classifiers. In this case, 60% of total data is used for training and the remaining data will be used for testing. The results shows that the Ensemble Bagged Tree presents high accuracy rate of 91.7% compared to the Nearest Neighbors and Support Vector Machine.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"77 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126021984","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}

{"title":"Islanding Scheme Design for Generators and Assessment of Impact of RGMO on Frequency Stability of Island","authors":"Saibal Ghosh, Pritam Mukherjee, A. Singh, Palash Jyoti Borah, Saurav Kumar Sahay, S. Mondal, S. Konar","doi":"10.1109/ICPEA56918.2023.10093201","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093201","url":null,"abstract":"Transmission system forms the backbone of any electrical power system. Transmission systems are exposed to environment and prone to fault. Therefore, chances of unwanted event resulting in large scale blackouts can never be ruled out. Renewable integration has increased the vulnerability of power system. Therefore, over the year resilience is gaining more and more importance for power system planners. Many grid codes have implicit provision of resilience. Key features of a resilient power system are robust islanding scheme and adequate number of black start resources. When a large power system fails to operate in synchronism, it becomes preferable to create small islands as the surviving islands make the restoration process fast. Success of an islanding scheme depends on the design as well as implementation of the logic. Logic needs to be robust as well as simple. Extensive study is required to design an effective islanding scheme. For islanding scheme design various preliminary studies are done and the results are discussed in the paper. The purpose of the studies was solely to check the frequency stability of the island. These islanding logic needs to be designed purely based on frequency logic and no under voltage logic to be used. This is because these islands are designed for supply of capital city, only in case of total or partial grid failure. Therefore, here island scheme design only aims at arriving frequency setting and load shedding scheme design inside the island. However, these studies are done based on certain assumption which will also be discussed in the paper. Its purpose is to check the broader feasibility of an islanding scheme. The final islanding logic may be finalized by the respective generating plants in consultation with their OEMs. The governor of a generating unit has a vital role to play in the success of the islanding. Currently in Indian power system restricted governor mode of operation (RGMO) is in service for generators [1]. In this paper the impact of RGMO on island frequency stability is also studied.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123768923","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}

{"title":"The Impact of Cavity Size on Electric Field Distribution and PD Inception Voltage in Epoxy-resin Insulation","authors":"B. D. Aliyu, M. Rohani, U. Musa, Y. Jibril, S. H. Sulaiman, A. Mas’ud, F. Muhammad-Sukki","doi":"10.1109/ICPEA56918.2023.10093169","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093169","url":null,"abstract":"Cavities in insulation systems of active high voltage (HV) equipment affect their performance, reliability and useful life periods. Cavities serve as flash points for enhanced field activity leading to ageing from partial discharge (PD) events and subsequent breakdown of the insulation material. In this paper, the impact of cavity diameter on the electric field distribution as well as on PD inception voltage are investigated in an Epoxy-resin insulation sample. A 3D adequate model of the sample with a spherical cavity was created and simulated in COMSOL for different cavity sizes and applied voltage stresses respectively. The simulation results indicate that both field distribution and the PD inception voltages are strongly influenced by cavity size as well as the applied voltage magnitude. The electric field intensity was observed to be higher in cavities with smaller diameter relative to the insulation bulk, while the inception voltage decreases with increase in the cavity diameter and vice-versa.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"31 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114010786","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}

{"title":"Influence of Deep Trap Density and Injection Barrier Height towards Accumulation of Space Charge within Dielectrics","authors":"Imran Daniel Salim, N. H. Nik Ali, A. M. Ariffin, Atip Doolgindachbaporn, T. M. Kuan, Mohd Abdul Talib Mat Yusoh","doi":"10.1109/ICPEA56918.2023.10093193","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093193","url":null,"abstract":"Over a decade, insulation technologies have undergone numerous developments to provide better protection for high-voltage direct current (HVDC) equipment. HVDC system has been regarded by the power industry as a medium for long-distance bulk transmission over high voltage alternating current (HVAC). Various types of materials have been used to insulate the HVDC equipment. However, the lack of knowledge about the nature of space charge accumulation which is one of the major problems with HVDC system performance has brought challenges to the industry. It is impractical for the industry to manufacture perfect insulation that could sustain any cause of breakdown due to poor chemical properties. The insulation age or impurities existing within the insulation morphology can influence the accumulation of space charge, thus leading to distortion of an electric field in the insulation material. The constant electric field distortion can accelerate the ageing process of the insulation material itself. To improve the insulation performance, it is important to study the influence of different deep trap densities and the injection barrier height parameters on the behaviour of space charge. This paper will focus on the investigation of space charge behaviour by using a bipolar charge transport (BCT) model on low-density polyethylene (LDPE) and cross-linked polyethylene (XLPE), which both are common polymeric insulations for HVDC cable. In this paper, the effect of different parameters of both deep trap density and injection barrier height on space charge behaviour will be studied based on the charge density and electric field. It has been observed that the deep trap density and injection barrier height affect the accumulation of space charge in the LDPE and XLPE.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133357918","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}