S. Bhowmik, S. Karmakar, J. Das, A. Mitra, B. Halder, S. Mukherjee
{"title":"Measurement of Real Time Energy Consumption using Low-Cost High-Speed Microcontroller","authors":"S. Bhowmik, S. Karmakar, J. Das, A. Mitra, B. Halder, S. Mukherjee","doi":"10.1109/APPEEC50844.2021.9687750","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687750","url":null,"abstract":"Consumption of energy is increasing day-by-day and consequently, its control has become indispensable, that triggered adoption of various techniques by researchers for reliable solution. This proposed work investigates a simpler design of energy estimation along with unit consumption using low-cost high-speed microcontroller, which is carried out both with linear and non-linear loads. In the absence of a standard digital energy meter, a theoretical approach has been taken into consideration to calculate the measurement of percentage error. Though the unit consumption defines 1 kWh usage of energy, this proposed work has been implemented with a single unit equivalent to 10 Watt-hour energy consumption to read the data within a lesser time. The percentage error has been found to be within an acceptable range of ±2%.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114957995","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}
Neelotpal Majumdar, Marcel Sarstedt, T. Leveringhaus, L. Hofmann
{"title":"Linearized Optimization for Reactive Power Dispatch at Transmission Grid Level considering Discrete Transformer Tap-Settings","authors":"Neelotpal Majumdar, Marcel Sarstedt, T. Leveringhaus, L. Hofmann","doi":"10.1109/APPEEC50844.2021.9687678","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687678","url":null,"abstract":"Research indicates that an efficient operation of power systems, requires the use of optimization techniques for minimizing objectives such as grid losses, dispatch costs, reducing potential technical constraint violations etc. These are referred to as optimal power flow (OPF) techniques. Over the years different optimization techniques have been developed based on analytical methods, heuristics and stochastic based approaches. Analytical methods include for example linear and quadratic optimization approaches. Metaheuristic methods like Particle Swarm optimization (PSO) and Genetic Algorithms (GA) have also been developed and researched upon. In this paper, a successive mixed integer linear optimization programming (sMILP) based method in the context of optimal reactive power flow (ORPF) is developed considering continuous reactive power flexibilities and discrete transformer tap-sets. The novel formulation of the transformer tap sensitivities indicate its efficiency of using discrete tap-settings and ease of implementation in the context of Linear Programming. This method is further compared to an already established PSO-based method subject to similar initial grid conditions and three different voltage constraint violation case studies. Results indicate the reliability and efficiency of the method.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114999818","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":"Analysis and Modeling of the Impact of Covid-19 Response Measures on Power Demand","authors":"J. Chakraborty, S. V. Chakraborty, S. Shukla","doi":"10.1109/APPEEC50844.2021.9687774","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687774","url":null,"abstract":"Different countries and regions across the world have adopted various responses and containment measures since the early part of 2020 to control the spread of the coronavirus causing Covid-19. These measures have caused significant changes in peoples' mobility, utilization of commercial and industrial facilities, deployment of government resources to provide necessary financial sustenance and support public health. In this study, we have analyzed the impact of these response measures on aggregate electric load in 4 different regions in the US and tried to identify how the load forecasting models may need to be changed post-pandemic. The key findings from our research include (1) the confirmation of a paradigm change in the nature of power demand before and after the pandemic, (2) the emergence of Covid-19 response related factors as predictors of load, and, (3) the reduction in relative importance of traditional load-influencing factors, including temperature, during the pandemic.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116822278","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}
Abdan Hanifan Dharmasakya, L. M. Putranto, R. Irnawan
{"title":"A Review of Reactive Power Management in Distribution Network with PV System","authors":"Abdan Hanifan Dharmasakya, L. M. Putranto, R. Irnawan","doi":"10.1109/APPEEC50844.2021.9687706","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687706","url":null,"abstract":"Development of photovoltaic (PV) system in distribution network has increased rapidly in recent years. However, the high penetration of PV system may lead to voltage quality problems. Reactive power capability of inverter in PV system may be used to overcome these problems. However, there are several disadvantages that can arise due to reactive power existence in inverter PV such as an increase in internal loss of inverter, active power curtailment, and lifetime reduction of inverter. To compensate these problems, several reactive power incentive models are proposed. However, there is still no review about the current research about reactive power dispatch using inverter of PV system in distribution network as well as reactive power incentive model. Therefore, this paper contributes in providing an insight about the existing research about reactive power dispatch using inverter of PV system in distribution network as well as reactive power incentive model. This paper can be used as a guide to conduct future research about reactive power management using inverter in PV system.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131185001","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":"Floating Solar Potential Assessment","authors":"Hema Bala Subramanyam Pakyala","doi":"10.1109/APPEEC50844.2021.9687733","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687733","url":null,"abstract":"India has a huge energy demand, and renewable energy is the most promising solution for meeting this demand. Solar energy is a promising renewable energy resource that is clean, eco-friendly, and abundant in nature. India is endowed with a vast amount of solar energy potential. Floating Photovoltaic (FPV) is predicted to be a better form of solar energy, which is reliable, affordable, and sustainable. It potentially solves land scarcity and cost because it can be constructed over any stable water surface like a lake, pond, reservoir, river, etc. Moreover, it generates more amount of power because of the cooling effect of water. The FPV technology has still not realized its potential in developing countries like India. This study aims to calculate and compare the energy generation, performance ratio, capacity utilization factor, cost analysis, evaporation reduction, and greenhouse gas emissions for 1 MW FPV and 1 MW Ground-mounted Photovoltaic (GPV) at Visakhapatnam city in India. The electricity generation from the FPV system is estimated to be 1.5%-3% higher than the GPV system. 1 MW FPV system could save 42 million liters of water from evaporation annually. The cost of electricity for floating solar is 4.1 INR/kWh, which is slightly higher than ground-mounted systems. This study highlights the advantages of using the FPV system over the GPV system in energy generation, water-saving, and efficiency.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129784088","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}
Kai Che, J. Yu, Peng Yang, Minglei Wei, S. Liu, Deguan Li
{"title":"Limits of Electromagnetic Environment for Electric Vehicle Wireless Power Transfer","authors":"Kai Che, J. Yu, Peng Yang, Minglei Wei, S. Liu, Deguan Li","doi":"10.1109/APPEEC50844.2021.9687775","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687775","url":null,"abstract":"The industrialization of electric vehicles has entered a period of rapid growth, and the wireless charging technology of electric vehicles, which has the advantages of flexibility, high efficiency and non-contact, has attracted widespread attention around the world. However, the potential electromagnetic environmental safety problems caused by wireless power transfer system to the users and surrounding people are gradually exposed to the public. In order to promote the standardized development of electric vehicle wireless power transfer systems, JASO TP-13002:2013, IEC TS 61980-1:2015, SAE J2954, ISO 19363: 2020, GB/T 38775.4- 2020 (China) and other standards related to the electromagnetic environment of wireless power transfer systems have been successively released. In this paper, the electromagnetic environment limits and test methods in the above standards were compared. It can be seen that the test methods are basically similar, and the standard limits are also consistent. The electromagnetic environment for wireless charging in electric vehicles tests results showed that the values of magnetic induction inside and outside the vehicle were below the limits established in ICNIRP Guidelines.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114593352","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":"Research on the Risk Assessment Method of Power Operation Based on Fuzzy Output Neutral Network","authors":"Jiazhu Xu, Guoqing Tong, Yuxing Liu, Weiming Zhang","doi":"10.1109/APPEEC50844.2021.9687697","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687697","url":null,"abstract":"In order to accurately and objectively evaluate the risk level when power industry implement a power operation, this paper proposes a risk assessment method for power operation based neutral network with fuzzy output. Firstly, based on the analysis and summary of the power operation historical accident, 19 power operation risk assessment indexes are selected from personnel expedition, mechanical devices and equipment, operating time and environment, and operation conditions. Secondly, in view of the risk level of power operation is a fuzzy phenomenon, a three-layer neural network model of power operation risk assessment is established, in which the assessment indexes are set as input, and five fuzzy risk memberships are output. The model introduces the risk membership degree as the output result, which can not only determine the final risk level of power operation, but also explore the potential risks in power operation according to the risk membership of power operation. Finally, through the comparison of three risk assessment methods, it is verified that this method is more reasonable and objective for power operation assessment.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121539487","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":"Dual Input Isolated Integrated Converter for Electric Vehicle","authors":"G. S, Dolly Mary A","doi":"10.1109/APPEEC50844.2021.9687748","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687748","url":null,"abstract":"Multisource-based electric vehicle (EV) on-board charging system needed different converters for each source. This structure can be replaced with an integrated multipurpose converter. The combination of two single-ended primary-inductor converters (SEPIC) results in an integrated converter with some mechanical switches. This single converter satisfying all vehicular modes of operations. In this paper, the electric vehicle can be charged with two sources. The integrated converter incorporated charging system provides utilization of grid and photovoltaic (PV) power for charging the battery. Working of this power electronic system can be divided into different modes of operations such as plug-in charging (PIN), PV-based charging, simultaneous charging with dual sources and motoring operation. This system is effective for charging a light electrical vehicle with a 48V lithium-ion (Li-ion) battery. The motoring operation is validated with a brushless DC (BLDC) motor load of 1 kW power. The simulation analysis of this power electronic system is obtained with MATLAB Simulink environment.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129207239","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":"Application of Satin Bowerbird Algorithm for Optimal Sizing of a Solar-Biomass based Microgrid","authors":"Nishant Thakkar, P. Paliwal","doi":"10.1109/APPEEC50844.2021.9687673","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687673","url":null,"abstract":"The steep increase in electrical energy demand and growing environmental concerns have led to the exploration of alternative energy technologies. Solar and biomass generators have emerged as a feasible option for off-grid rural applications. This paper presents the optimal sizing of a solar and biomass generators based standalone micro-grid (SMG). The variability affiliated with solar generation makes it essential to integrate a firm source of generation such as biomass with it. In order to obtain optimum component size, a modern metaheuristic called as Satin Bowerbird algorithm has been deployed. The simulation results of this algorithm offers higher quality solution and takes lesser convergence time as compared to the conventional algorithms. Reliability and economic parameters have been duly accounted for in the sizing of SMG. The results have been obtained for a case study conducted for Jaisalmer, Rajasthan, India. Further, sensitivity analyses have also been performed to assess the impact of component sizing on performance of SMG.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115769845","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":"Optimum Voltage Droop Control in Transmission Systems to Support the Local Voltage Stability with High Share of RES","authors":"R. Pestana, Siam Hasan Khan, C. Agreira","doi":"10.1109/APPEEC50844.2021.9687741","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687741","url":null,"abstract":"Controlling the voltage profile in transmission systems with a high share of Renewable Energy Sources (RES) is becoming a challenge especially in areas where the presence of RES connected to (Very High Voltage) VHV substations is high. In fact, the local management of the reactive power of each wind power plant connected to a VHV/HV substation should be coordinated not only at the Point of Interconnection through tap regulation, amid others, but also at the individual wind power plant and photovoltaic plant. Based on a real case study in the Portuguese national transmission system, this paper presents the advantage of applying a voltage droop control strategy to avoid conflictual set-point for each wind power plant or photovoltaic plant. Different scenarios, both topological and operational, will be analyzed and developed in order to come up with a robust voltage droop control strategy that mitigates voltage fluctuations at the point of interconnection (POI) by fully utilizing the voltage regulation capability of each Wind Power Plant and photovoltaic plant. The main aim is to ensure that with the implemented control strategy the voltage stays within its steady-state limits in all performed scenarios.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124516753","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}