Pub Date : 2019-06-01DOI: 10.18178/IJOEE.7.1.40-43
Andreas A. Donovan, Humasian N. Eyba, I. P. Sari
{"title":"Vertical Wind Turbines as Power Plants at the Railroad Tracks","authors":"Andreas A. Donovan, Humasian N. Eyba, I. P. Sari","doi":"10.18178/IJOEE.7.1.40-43","DOIUrl":"https://doi.org/10.18178/IJOEE.7.1.40-43","url":null,"abstract":"","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"180 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83415270","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}
Pankaj Mann, Kuldeep Modh, Suraj Goel, Ahmedabad India Iitram
{"title":"Increasing the Yield of PV Panels: A Review","authors":"Pankaj Mann, Kuldeep Modh, Suraj Goel, Ahmedabad India Iitram","doi":"10.18178/IJOEE.7.1.1-7","DOIUrl":"https://doi.org/10.18178/IJOEE.7.1.1-7","url":null,"abstract":"","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82119509","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}
Pub Date : 2018-12-01DOI: 10.18178/IJOEE.6.2.52-56
E. Chang, Hung-Liang Cheng, Chun‐An Cheng
In this paper, an Uninterruptible Power Supply (UPS) with a robust control technology is proposed for the application of the Manufacturing Automation (MA). The proposed control technology is composed of a Fast Sliding Mode Control (FSMC) and a Glowworm Swarm Optimization (GSO). Although the FSMC guarantees finite system-state convergence time of the UPS, the distorted and unstable UPS output-voltage degrades the unreliability of MA. This is because the inappropriate control parameters exist in UPS system. The GSO is thus employed to tune FSMC control gains optimally, yielding high performance UPS in the use of the MA. Experimental results show that the proposed control technology can lead to high-quality AC output voltage and fast dynamic response. Because the proposed control technology is simpler to implement than previous methods and has higher convergence accuracy, this paper will be of interest to investigators of related MA.
{"title":"Design and Analysis of Uninterruptible Power Supply Control Technology for Manufacturing Automation Applications","authors":"E. Chang, Hung-Liang Cheng, Chun‐An Cheng","doi":"10.18178/IJOEE.6.2.52-56","DOIUrl":"https://doi.org/10.18178/IJOEE.6.2.52-56","url":null,"abstract":"In this paper, an Uninterruptible Power Supply (UPS) with a robust control technology is proposed for the application of the Manufacturing Automation (MA). The proposed control technology is composed of a Fast Sliding Mode Control (FSMC) and a Glowworm Swarm Optimization (GSO). Although the FSMC guarantees finite system-state convergence time of the UPS, the distorted and unstable UPS output-voltage degrades the unreliability of MA. This is because the inappropriate control parameters exist in UPS system. The GSO is thus employed to tune FSMC control gains optimally, yielding high performance UPS in the use of the MA. Experimental results show that the proposed control technology can lead to high-quality AC output voltage and fast dynamic response. Because the proposed control technology is simpler to implement than previous methods and has higher convergence accuracy, this paper will be of interest to investigators of related MA. ","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"48 1","pages":"52-56"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89937619","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}
Pub Date : 2018-01-01DOI: 10.18178/ijoee.6.1.32-36
Y. Saika, M. Nakagawa
On the basis of the Bayesian iterative method via parameter scheduling, we investigate the prediction of a set of optimal environmental variables of small-scale space by using air conditioning with minimized power. Numerical calculations clarify dynamic properties of the environmental variables, such as temperature and relative humidity at each sampling point in the present method for several realistic cases in severe summer season. We find the optimal parameter scheduling realizing the optimal environment with minimized power of the air conditioning both using air cooling and dehumidifier.
{"title":"Bayesian Iterative Method Using Parameter Scheduling for Predicting Optimal Condition on Thermal Index Due to Air Conditioning with Minimized Power","authors":"Y. Saika, M. Nakagawa","doi":"10.18178/ijoee.6.1.32-36","DOIUrl":"https://doi.org/10.18178/ijoee.6.1.32-36","url":null,"abstract":"On the basis of the Bayesian iterative method via parameter scheduling, we investigate the prediction of a set of optimal environmental variables of small-scale space by using air conditioning with minimized power. Numerical calculations clarify dynamic properties of the environmental variables, such as temperature and relative humidity at each sampling point in the present method for several realistic cases in severe summer season. We find the optimal parameter scheduling realizing the optimal environment with minimized power of the air conditioning both using air cooling and dehumidifier. ","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"30 1","pages":"32-36"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83329899","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}
Pub Date : 2018-01-01DOI: 10.18178/ijoee.6.1.13-19
Swaraj Banerjee, Dipu Sarkar
The Combined Economic Emission Dispatch (CEED) problem focuses on the short-term determination of optimal generation from a number of power generating units in a way such that both generation costs and emission levels become minimum simultaneously, while satisfying all operational constraints and the load demand. The CEED problem considers the environmental impacts from the gaseous emission of pollutants at fossil-fueled power generating plants. This paper presents the formulation of the CEED problem as a multi-objective problem which in turn has been converted into a single objective function considering price penalty factor. This article proposes a new optimization algorithm, Modified Jaya Optimization Algorithm (MJOA), for CEED problem solution. The existing Jaya Optimization Algorithm (JOA) has been slightly modified to formulate the MJOA for faster convergence and robustness. Later the modified algorithm has been implemented in two test systems to investigate and ensure the effectiveness. The simulation results of the modified algorithm have been compared with other exiting algorithms, present in literature and MJOA has proved to be the best and most powerful amongst them.
{"title":"Modified Jaya Optimization Algorithm for Combined Economic Emission Dispatch Solution","authors":"Swaraj Banerjee, Dipu Sarkar","doi":"10.18178/ijoee.6.1.13-19","DOIUrl":"https://doi.org/10.18178/ijoee.6.1.13-19","url":null,"abstract":"The Combined Economic Emission Dispatch (CEED) problem focuses on the short-term determination of optimal generation from a number of power generating units in a way such that both generation costs and emission levels become minimum simultaneously, while satisfying all operational constraints and the load demand. The CEED problem considers the environmental impacts from the gaseous emission of pollutants at fossil-fueled power generating plants. This paper presents the formulation of the CEED problem as a multi-objective problem which in turn has been converted into a single objective function considering price penalty factor. This article proposes a new optimization algorithm, Modified Jaya Optimization Algorithm (MJOA), for CEED problem solution. The existing Jaya Optimization Algorithm (JOA) has been slightly modified to formulate the MJOA for faster convergence and robustness. Later the modified algorithm has been implemented in two test systems to investigate and ensure the effectiveness. The simulation results of the modified algorithm have been compared with other exiting algorithms, present in literature and MJOA has proved to be the best and most powerful amongst them.","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"326 1","pages":"13-19"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78012928","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}
Pub Date : 2018-01-01DOI: 10.18178/ijoee.6.1.20-25
Soraphon Kigsirisin, O. Noohawm
Monitoring Electrical Load Demand (ELD) is very crucial for plants and manufacturers to observe the electrical consumption and to set the rate of a primary source, the source limit, for supplying electricity to their own electrical system. This study presents CalinskiHarabasz criterion method to find out K value in order to divide ELD of Bangkhen water treatment plant (BKP), the largest water treatment plant in Thailand and South-East Asia, as a case study into K groups. ELD of BKP recorded in twelve months is shown and analyzed by this method. Three seasons are done, too. Then, K-means clustering algorithm is applied to find the centroid value, the cluster center, of K group. The maximum cluster center is used to be the source limit to supply electricity to the plant. Moreover, this study evaluates reliability indices to find out the security of the plant from using the source limit. They are shown and discussed, when the peak load demand occurs.
{"title":"Electrical Load Demand of Water Treatment Plant Profiled by Using K-Means Clustering Algorithm with Reliability Consideration","authors":"Soraphon Kigsirisin, O. Noohawm","doi":"10.18178/ijoee.6.1.20-25","DOIUrl":"https://doi.org/10.18178/ijoee.6.1.20-25","url":null,"abstract":"Monitoring Electrical Load Demand (ELD) is very crucial for plants and manufacturers to observe the electrical consumption and to set the rate of a primary source, the source limit, for supplying electricity to their own electrical system. This study presents CalinskiHarabasz criterion method to find out K value in order to divide ELD of Bangkhen water treatment plant (BKP), the largest water treatment plant in Thailand and South-East Asia, as a case study into K groups. ELD of BKP recorded in twelve months is shown and analyzed by this method. Three seasons are done, too. Then, K-means clustering algorithm is applied to find the centroid value, the cluster center, of K group. The maximum cluster center is used to be the source limit to supply electricity to the plant. Moreover, this study evaluates reliability indices to find out the security of the plant from using the source limit. They are shown and discussed, when the peak load demand occurs. ","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"36 1","pages":"20-25"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87766616","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}
Kaixu Zong, H. Hui, Xin Zhang, Qun Ma, Xiao Li, Mingqiang Wang
Various distribution network optimization techniques considering Distributed Generations (DGs) are reviewed in this paper, and a new optimization method based on Mixed Integer Linear Programming (MILP) is proposed. The proposed methodology optimizes the capacity of DGs and the optimal feeder line capacity simultaneously by a cost/benefit analysis. Besides, the line loss in distribution network is explicitly analyzed by using four different methods in the paper. For simplicity, the line loss can be appropriately simplified as a quadratic function of difference of voltage phase angle. Then it is further linearized by using different linearization strategies and then compared with the results by using Mixed Integer Nonlinear Programming (MINLP) method. Finally, the proposed active distribution network planning model with selected linearization technique is tested on the IEEE 33-node distribution network system.
{"title":"Active Distribution Network Optimization Based on Mixed Integer Linear Programming","authors":"Kaixu Zong, H. Hui, Xin Zhang, Qun Ma, Xiao Li, Mingqiang Wang","doi":"10.18178/IJOEE.6.1.1-6","DOIUrl":"https://doi.org/10.18178/IJOEE.6.1.1-6","url":null,"abstract":"Various distribution network optimization techniques considering Distributed Generations (DGs) are reviewed in this paper, and a new optimization method based on Mixed Integer Linear Programming (MILP) is proposed. The proposed methodology optimizes the capacity of DGs and the optimal feeder line capacity simultaneously by a cost/benefit analysis. Besides, the line loss in distribution network is explicitly analyzed by using four different methods in the paper. For simplicity, the line loss can be appropriately simplified as a quadratic function of difference of voltage phase angle. Then it is further linearized by using different linearization strategies and then compared with the results by using Mixed Integer Nonlinear Programming (MINLP) method. Finally, the proposed active distribution network planning model with selected linearization technique is tested on the IEEE 33-node distribution network system. ","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"138 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73916718","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}
Pub Date : 2018-01-01DOI: 10.18178/ijoee.6.2.88-91
Kung-Jeng Wang, Le Duc Dao
Solar energy is a potential project because it not only protects the environment, but also reserves the power for people to use in their daily life such as heating or lighting. This paper focuses on the natural sunlight saving system named solar concentrator layout. In our paper, we aim to bring the optimal profit for the firm when implementing the solar layout as well as helping a house get as much sunlight efficiency as possible for their using. We also consider some factors such as light reflection and light transmission loss to make the model more reliable. As for the economic scale, some constraints are added to make our study close to reality, such as the thickness of concentrator or the number of exits where a sunbeam is delivered to the main panel to enable energy transmission. To obtain a high brightness for the house, the firm would harm their profit. This study makes the balance between the conflict objectives to get a compromised solution. Finally, parallelcomputing based genetic algorithm is introduced to accelerate the solution quality. To summarize, the result of our study will be the best strategy for the light efficiency to supply people and the profits that the firm earns for the job.
{"title":"Solar Concentrator Layout Optimization: Metaheuristic Method Solution","authors":"Kung-Jeng Wang, Le Duc Dao","doi":"10.18178/ijoee.6.2.88-91","DOIUrl":"https://doi.org/10.18178/ijoee.6.2.88-91","url":null,"abstract":"Solar energy is a potential project because it not only protects the environment, but also reserves the power for people to use in their daily life such as heating or lighting. This paper focuses on the natural sunlight saving system named solar concentrator layout. In our paper, we aim to bring the optimal profit for the firm when implementing the solar layout as well as helping a house get as much sunlight efficiency as possible for their using. We also consider some factors such as light reflection and light transmission loss to make the model more reliable. As for the economic scale, some constraints are added to make our study close to reality, such as the thickness of concentrator or the number of exits where a sunbeam is delivered to the main panel to enable energy transmission. To obtain a high brightness for the house, the firm would harm their profit. This study makes the balance between the conflict objectives to get a compromised solution. Finally, parallelcomputing based genetic algorithm is introduced to accelerate the solution quality. To summarize, the result of our study will be the best strategy for the light efficiency to supply people and the profits that the firm earns for the job. ","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"63 1","pages":"88-91"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78836717","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}
Pub Date : 2018-01-01DOI: 10.18178/IJOEE.6.2.74-78
F. R. Salis, A. D. Pranadi, R. Budiarto, F. Aliyah, D. Novitasari
Sustainability is the key issues in the development of Renewable Energy System (RES) in Indonesia. Some government’s RE project just run for short-time period and then technically malfunctioned [1]. The main reason was a lack of local people’s knowledge on RES and the absence of capability of local community in maintenance aspect. This paper presents an example of RE project in Banyumeneng Village namely Solar Water Pumping System (SWPS) which continuously runs over 7 years. By having a comprehensive knowledge transfer and adequate education program to the local people, the sustainability in this RE project can be achieved. This paper presents, its evaluation is done by using SWOT analysis to measure on effectiveness of knowledge transfers in this capacity building programme. Recommendations required to improve the educational method in sustaining RE project in Indonesia are presented.
{"title":"Comprehensive Education of RES in Rural Karst Area: Sustainable Development of Solar Water Pumping System in Banyumeneng Village, Yogyakarta, Indonesia","authors":"F. R. Salis, A. D. Pranadi, R. Budiarto, F. Aliyah, D. Novitasari","doi":"10.18178/IJOEE.6.2.74-78","DOIUrl":"https://doi.org/10.18178/IJOEE.6.2.74-78","url":null,"abstract":"Sustainability is the key issues in the development of Renewable Energy System (RES) in Indonesia. Some government’s RE project just run for short-time period and then technically malfunctioned [1]. The main reason was a lack of local people’s knowledge on RES and the absence of capability of local community in maintenance aspect. This paper presents an example of RE project in Banyumeneng Village namely Solar Water Pumping System (SWPS) which continuously runs over 7 years. By having a comprehensive knowledge transfer and adequate education program to the local people, the sustainability in this RE project can be achieved. This paper presents, its evaluation is done by using SWOT analysis to measure on effectiveness of knowledge transfers in this capacity building programme. Recommendations required to improve the educational method in sustaining RE project in Indonesia are presented.","PeriodicalId":13951,"journal":{"name":"International Journal of Electrical Energy","volume":"27 1","pages":"74-78"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80856792","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}
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