Sanusi Isiaka Olatunji, Arjuna Marzki, Annie Ng, Ikechi A. Ukeagbu
{"title":"Perovskite PV MPPT Design for BIPV Application","authors":"Sanusi Isiaka Olatunji, Arjuna Marzki, Annie Ng, Ikechi A. Ukeagbu","doi":"10.1109/ICPEA56918.2023.10093206","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093206","url":null,"abstract":"Globally, renewable energy consumption has expanded to avert environmental damage. Solar energy is expected to be the cornerstone of a sustainable energy economy since sunlight is abundant. Perovskite Solar Cells (PSCs), incorporated into the architectural envelope of Building Integrate(BIPVs), reduce the electricity needs and improve the energy conversion paradigm. This work aims to design and develop an MPPT circuit with a DC-DC converter (boost converter) for energy harvesting from PSCs for BIPV Applications. The energy harvesting technology of the PSC uses P&O-based MPPT. This approach uses a Sample and Hold (S&H), and multiplier circuit for the design of the P&O-based MPPT. Perturb and Observe(P&O) compare the maximum power points and open circuit voltage of perovskite photovoltaic cells. Comrators, compensators, and PWM drivers are intended for battery and charging systems. Two case studies were considered to evaluate the PSC performance under natural and artificial illumination. This circuit was designed in a UMC 180nm Complementary metal-oxide-semiconductor (CMOS) technology.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"65 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":"116645000","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}
Jiayan Tang, C. Wooi, W. Tan, H. N. Afrouzi, Syahrun Nizam bin Md Arshad Hashim, M. Othman
{"title":"Optimized Allocation of Lightning Protection System Using PSOGSA","authors":"Jiayan Tang, C. Wooi, W. Tan, H. N. Afrouzi, Syahrun Nizam bin Md Arshad Hashim, M. Othman","doi":"10.1109/ICPEA56918.2023.10093208","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093208","url":null,"abstract":"In this paper, the hybrid PSOGSA, which is a combined algorithm of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA), is proposed to find the optimum locations for the lightning protection system on the 81- bus radial distribution system. Moreover, the System Average Interruption Frequency Index (SAIFI) is considered as the objective function and will be minimized. The main advantage of this work is the simplicity and convenience of finding an optimal solution using the proposed PSOGSA algorithm. Additionally, PSOGSA is also capable of finding the optimal locations for applying a lightning protection system (LPS) in a distribution network, while minimizing SAIFI and maintaining computational efficiency. To validate the effectiveness of the proposed algorithm, numerical simulations are carried out considering the interdependency between lightning phenomena and the distribution feeder characteristics, namely, the flashover rates due to direct and induced lightning. In addition, a comparison between PSO, GSA, and PSOGSA is made to compare and validate the performance of the algorithms. The results show that the latter is better at escaping from local optima and has a faster convergence than the standard PSO and GSA. PSOGSA also managed to achieve a higher reduction of 12.10% SAIFI after applying LPS on the optimal feeders, as compared to the 10.79% and 11.77% reduction of SAIFI by GSA and PSO, respectively. PSOGSA also has a faster convergence speed than PSO.","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":"122808581","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}
Muhammad Syahir Turiman, Mohd Khairun Nizam Mohd Sarmin, N. Saadun, Mohd Fahri Zamri, Hamda Ali, Qawizamshah Mohammad
{"title":"Determination of Optimal Distributed Generation Penetration Level in Distribution Networks based on Normalized Impact Factor Score","authors":"Muhammad Syahir Turiman, Mohd Khairun Nizam Mohd Sarmin, N. Saadun, Mohd Fahri Zamri, Hamda Ali, Qawizamshah Mohammad","doi":"10.1109/ICPEA56918.2023.10093149","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093149","url":null,"abstract":"The penetration level of renewable energy (RE) including distributed generation (DG) integrated in the distribution network has been increasing in many countries. This follows widespread encouragement to use renewable energy to minimize reliance on conventional power plants to achieve net zero emissions. Malaysian energy transition targets and carbon neutral goals set by the government, lower cost of ownership of solar PV systems, and more efficient government renewable energy initiatives including Net Energy Metering (NEM) 3.0, Green Investment Tax (GITA), Large Scale Solar (LSS), and most recently the Corporate Green Power Program (CGPP) have driven the rapid development of renewable energy in the country. However, the high penetration level of distributed generation including solar PV, mini- hydro, and bio-energy has introduced several technical impacts on the operation of the distribution network including increased fault levels, voltage limit violation, reverse power flow, distribution network losses, and transformer losses. This paper analyzes the technical impacts of the high penetration level of distributed generation in medium voltage (MV) substations of the distribution network using DigSILENT PowerFactory simulation software. From the results obtained through the simulation analysis, the impact factors of fault level, voltage limit violations, reverse power flow, distribution network losses, and transformer losses have been formulated. The optimal distributed generation penetration level in distribution networks is then determined based on the highest score value of the normalized impact factor from all penetration levels.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"272 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":"122188429","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}
S. S. Mat Isa, Mohammad Nizam Ibrahim, Anuar Mohamad, N. Dahlan, Shahilah Nordin
{"title":"A Review of Optimization Approaches for Optimal Sizing and Placement of Battery Energy Storage System (BESS)","authors":"S. S. Mat Isa, Mohammad Nizam Ibrahim, Anuar Mohamad, N. Dahlan, Shahilah Nordin","doi":"10.1109/ICPEA56918.2023.10093172","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093172","url":null,"abstract":"Global warming and climate change are driven by increased carbon emissions due to industrialization, rapid population growth and a rise in fossil fuel consumption. Therefore, the power sector is converting to alternative energy sources including battery energy storage systems, wind and photovoltaic (PV). BESS is seen as a potential replacement for conventional energy sources because of its benefits including fast and reliable response, versatility, manageability, environmental friendliness and geographic independence. Numerous studies have been conducted to find the optimal size and placement of battery size using various of methods. An overview of the BESS is discussed in this paper in terms of optimization approaches that have been used in various conditions such as installation in the microgrid, distribution network, for losses reduction, charging and discharging schedules and peak load demand. In conclusion, this paper offers a substantial suggestion that would aid scientists in creating a successful, potent, effective and reliable BESS for the future.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"73 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":"129837072","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":"An Efficient Method for Available Transfer Capability Calculation Considering Cyber-Attacks in Power Systems","authors":"M. Eidiani, H. Zeynal, Z. Zakaria","doi":"10.1109/ICPEA56918.2023.10093168","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093168","url":null,"abstract":"At this work, the impact of cyberattacks in power system Available Transfer Capability (ATC) solution is investigated using DIgSILENT Power factory software. Based on the literature, there reported several power network blackouts that caused by hackers and the Stuxnet worm in Ukraine, which exhibited that power systems are quite vulnerable to widespread and integrated cyberattacks. As a result, power market clearing mechanism and ATC solution can no longer be reliable if hackers possess enough information to manipulate input data. Instead of using complex methods to detect information manipulation in state estimation programs, this paper uses the weakness of the program when the correct information is entered. To end the evaluations, the proposed cyber-aware ATC algorithm is tested on a realistic utility network. Based on the simulation results, in spite of improvement in state estimation execution time, the quickness of ATC calculation is somewhat heightened when applying the proposed method of weighted least squares.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"838 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113996390","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 Robust State Estimation Method for Unsymmetrical Three-Phase Power Systems","authors":"Hussaini Ali Adamu, Xiao-Ping Zhang","doi":"10.1109/ICPEA56918.2023.10093166","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093166","url":null,"abstract":"In the current literature, it is well established in most cases, that the same weights or weight factors (reciprocal squares of the variances) are used in the conventional weighted least squares (WLS) power system state estimation algorithm. However, this has caused some significant deviation in the solution when compared to the true or actual solutions, due to significant errors. Furthermore, several research studies from the literature had often analyzed the state estimation procedure in single-phase. Nevertheless, this paper proposes a new 3-phase re-weighted nonlinear regression method, that uses the Welsch weight function as the updating weight factor incorporated into the weighted least squares normal equation formulation, to minimize the significant deviations caused by the measurement errors. The proposed method is in 3-phase and is investigated on a 13-node IEEE test feeder in MATLAB, with 0.01% error added to the measurements, and compared using the same conditions with the 3-phase conventional state estimation (CSE) and a 3-phase load flow actual standard solution. First, it is shown that the proposed method outperforms the 3-phase conventional state estimation method in terms of feasibility when the error feasibility performance index is computed. Finally, the differences in term of estimation accuracy, for the proposed method is highlighted using two performance accuracy indexes (Voltage and Angle) for validation and are shown on the bar chart.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"30 24 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":"130950500","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}
Ir. Salmey Bin A Halim, M. K. Bin M Hatta, Ir. Ts. Husswan Hadi Bin W Hussein, Ir. Ts. Fitriah Binti Shafe’i, Ts. Nur Azra Binti Azmi, Faizah Binti Othman
{"title":"Centralized Protection and Control (CPC): Next Level Of Electrical Protection System Towards Digital Substation (Oil and Gas)","authors":"Ir. Salmey Bin A Halim, M. K. Bin M Hatta, Ir. Ts. Husswan Hadi Bin W Hussein, Ir. Ts. Fitriah Binti Shafe’i, Ts. Nur Azra Binti Azmi, Faizah Binti Othman","doi":"10.1109/ICPEA56918.2023.10093221","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093221","url":null,"abstract":"This paper is prepared in line with IEEE publication requirements which describes the Centralized Protection and Control (CPC) as the new level of electrical protection system towards supporting digital substation. This paper is prepared with the intent to share about current industry challenges, the values brought by CPC, current efforts in realizing CPC, the requirements, aspiration, as well as the risk associated to CPC installation in oil & gas industry. Centralized Protection and Control or CPC is a protection system with the concept of relocating the functions and features that resides in a protection relay to a centralized device. As protection system is one of Safety Critical Element in Oil and Gas Industry. Operation and Maintenance (O&M) team is looking for features to operate and manage protection relay in a more advanced manner. As the technology evolved, the advancement of hardware capability allows for more computing power in a centralized device to process larger protection data and execute protection function. By having a centralized protection device, complete with digital database supported with analytical tools, and customized features, managing a wide range of protection relays in large scale electrical installation becomes easier and more efficient. Digitalization, centralization, remote monitoring and remote automation are the key step towards realizing digital twins of electrical protection system, thus supporting the reduction of operational costs in such facilities.","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":"130974799","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}
Dharma Aryani, S. Pranoto, Fajar Fajar, A. N. Intang, Firza Zulmi Rhamadhan
{"title":"Artificial Neural Network Prediction to Identify Solar Energy Potential In Eastern Indonesia","authors":"Dharma Aryani, S. Pranoto, Fajar Fajar, A. N. Intang, Firza Zulmi Rhamadhan","doi":"10.1109/ICPEA56918.2023.10093184","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093184","url":null,"abstract":"The geographic location of Indonesia which climates almost entirely tropical provides exclusive potential for solar energy all through the year. This paper performs identification and prediction of solar irradiance in Eastern area of Indonesia. Modeling and estimation approach is carried out by using Artificial Neural Network (ANN) algorithm. Datasets for training and testing are highly correlated parameters from NASA climatological database for 20 years of historical data. The results of training and testing procedures in ANN show high accuracy of solar modelling and prediction. The study produces spatial mapping of solar irradiance intensity for the monthly average solar irradiance of 174 districts in Eastern Indonesia region.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"41 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":"130978738","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}
Maizatul Shafiqah Sharul Anuar, M. N. Muhtazaruddin, Mohd Azizi Abdul Rahman, M. Amran
{"title":"Optimal Placement of Distributed Generation and Capacitor in Distribution System for District Hospital in Malaysia","authors":"Maizatul Shafiqah Sharul Anuar, M. N. Muhtazaruddin, Mohd Azizi Abdul Rahman, M. Amran","doi":"10.1109/ICPEA56918.2023.10093197","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093197","url":null,"abstract":"Recent advancements in power generation technologies using renewable energy resources and government policies toward a more sustainable future have called for environmental incentive. As a result, the application of renewable-based distributed generation in a distribution system has gained significant recognition due to its technical and environmental benefits. In this paper, Artificial Bee Colony (ABC) algorithm will be used to obtain optimal location and sizing of distributed generation (DG) and capacitor with power loss reduction as its main objective function. Four different cases were simulated to observe the effectiveness of both DG and capacitor in reducing the power loss when it was installed together. The simulated result showed that installing both DG and capacitors gave this study the best results and objective function, reducing power loss.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"116 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":"127236904","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}
Muhammad Nur Syahid Khairi, N. A. Bakhari, A. Samat, N. Kamarudin, Mohd Huzaimi Md Hussin, A. I. Tajudin
{"title":"MPPT Design Using PSO Technique for Photovoltaic System","authors":"Muhammad Nur Syahid Khairi, N. A. Bakhari, A. Samat, N. Kamarudin, Mohd Huzaimi Md Hussin, A. I. Tajudin","doi":"10.1109/ICPEA56918.2023.10093161","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093161","url":null,"abstract":"This paper aims to design the MPPT technique using the Particle Swarm Optimization (PSO) method to track the maximum power at the photovoltaic (PV) system. The direct current (DC)-DC buck converter is used to control the solar PV power. The buck converter operates in both MPPT mode and voltage control mode. The voltage control mode is used only when load power is greater than the maximum power generated by the solar PV plant given the incident irradiance and panel temperature. First, the buck converter was designed based on the specification of the PV panel, and then the design will be modeled using Matlab/Simulink software. After that, the PSO method’s MPPT technique was designed and implemented in the system to track the maximum power. Based on the results obtained, it was found that the PSO parameter had an important effect on the accuracy of the system. The power point of the PV system can be tracked on constant and variations values of irradiances. From the result obtained, it can be concluded that the efficiency of the PSO to track the maximum power is more than 90 % at 200 W/m2 and 700 W/m2 of irradiance. While at 1000 W/m2 the efficiency to track the maximum power is less than 90 %.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"3 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":"132503790","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}