Pub Date : 2020-06-20DOI: 10.11648/j.epes.20200902.11
Arouna Oloulade, A. M. Imano, F. Fifatin, Mahamoud Tanimomon, Akouèmaho Richard Dansou, Ramanou Badarou, A. Vianou
The distribution networks are more and more heavily loaded due to economic growth, industrial development and housing. The operation of these networks under these conditions generates voltage instabilities and excessive power losses. The present work consisted in the optimal integration of multi-GED (Decentralized Energy Generators) (Photovoltaic (PV), Fuel Cell (FC or PAC) and Wind Generator (WG)) and FACTS (SVC) in a Medium Voltage distribution’s departure of the Beninese Electrical Energy Company (SBEE), with a view to improve its technical performances. The diagnostic study of the Ouidah 122-nodes test network, before optimization, revealed that the active and reactive losses are 457.34588 kW and 625.41503 kVAr respectively. This network has high voltage instability with a minimum voltage of 0.80455 p.u. and a minimum VSI of 0.41897 p.u. The optimization of the size and positioning of GED and FACTS was based on the Non-dominated Sorting Genetic Algoritm II (NSGA II). After optimization with the NSGA II, a comparative study of the different combinations between the three GEDs and the SVC, made it possible to choose that of the placement of a 121 kW Wind Generator at node 75, a PV of 131 kW at node 51, a system of Fuel Cell (FC, PAC in french) of 700 kW at node 34, and an SVC of 2.126 MVAr at node 94 of the network. This positioning enabled a reduction of 65.11% in active losses and 65.12% in reactive losses. The voltage profile and the voltage stability are clearly improved, with a minimum voltage of 0.96993 p.u. and a minimum VSI of 0.88505 p.u. The initial investment for this project is seven hundred and seven million three hundred and fifty-two thousand three hundred and fifty-eight point seven CFA francs (707,352,358.7 CFA francs). The technical and economic evaluation shows that the payback period is approximately 4 years 6 months and 14 days. The relevant results obtained show that the method used is efficient and effective, and can be applied to other MV departures of the SBEE.
{"title":"Contribution to the Economic and Optimal Planning of Multi-GED and a FACTS in a Distribution Network by Genetics Algorithms","authors":"Arouna Oloulade, A. M. Imano, F. Fifatin, Mahamoud Tanimomon, Akouèmaho Richard Dansou, Ramanou Badarou, A. Vianou","doi":"10.11648/j.epes.20200902.11","DOIUrl":"https://doi.org/10.11648/j.epes.20200902.11","url":null,"abstract":"The distribution networks are more and more heavily loaded due to economic growth, industrial development and housing. The operation of these networks under these conditions generates voltage instabilities and excessive power losses. The present work consisted in the optimal integration of multi-GED (Decentralized Energy Generators) (Photovoltaic (PV), Fuel Cell (FC or PAC) and Wind Generator (WG)) and FACTS (SVC) in a Medium Voltage distribution’s departure of the Beninese Electrical Energy Company (SBEE), with a view to improve its technical performances. The diagnostic study of the Ouidah 122-nodes test network, before optimization, revealed that the active and reactive losses are 457.34588 kW and 625.41503 kVAr respectively. This network has high voltage instability with a minimum voltage of 0.80455 p.u. and a minimum VSI of 0.41897 p.u. The optimization of the size and positioning of GED and FACTS was based on the Non-dominated Sorting Genetic Algoritm II (NSGA II). After optimization with the NSGA II, a comparative study of the different combinations between the three GEDs and the SVC, made it possible to choose that of the placement of a 121 kW Wind Generator at node 75, a PV of 131 kW at node 51, a system of Fuel Cell (FC, PAC in french) of 700 kW at node 34, and an SVC of 2.126 MVAr at node 94 of the network. This positioning enabled a reduction of 65.11% in active losses and 65.12% in reactive losses. The voltage profile and the voltage stability are clearly improved, with a minimum voltage of 0.96993 p.u. and a minimum VSI of 0.88505 p.u. The initial investment for this project is seven hundred and seven million three hundred and fifty-two thousand three hundred and fifty-eight point seven CFA francs (707,352,358.7 CFA francs). The technical and economic evaluation shows that the payback period is approximately 4 years 6 months and 14 days. The relevant results obtained show that the method used is efficient and effective, and can be applied to other MV departures of the SBEE.","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2020-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79787188","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 : 2020-05-15DOI: 10.11648/J.EPES.20200901.12
Dong Jun, Palidan Ainiwaer, Liu Yao
With increasing pressure on resources and environment, sustainable development is becoming more and more important. As the largest energy consumer in the world, China needs to take measures to achieve energy transformation more urgently both from supply and demand side, which is of great significance for sustainable development and achieving carbon emissions target. In recent years, the capital city Beijing has also made great efforts to promote the replacement of electric energy in residential heating, manufacturing, transportation, power supply and consumption. In order to explore driving forces of total power consumption in Beijing`s final demand sectors, this paper decomposes the factors into industrial electricity substitution effect, industrial energy intensity effect, industrial structure effect, economic scale effect, population structure effect, residential electricity substitution effect, residential energy intensity effect and population size effect based on the logarithmic mean Divisia index (LMDI) decomposition method. The decomposition results show that the industrial electricity substitution effect made the largest contribution to increase power consumption in Beijing’s final energy consumption sector, followed by economic scale effect, residential energy intensity effect, population scale effect and residential electricity substitution effect, and other`s effect does the opposite. Finally, seven different scenarios are set up to forecast the future power consumption of Beijing`s final sectors based on the long-term energy alternative planning model (LEAP), which reveals the impact of energy efficiency improvement and electricity substitution polices on electricity consumption in Beijing`s final energy consumption sectors.
{"title":"Driving Forces Analysis of Power Consumption in Beijing Based on LMDI Decomposition Method and LEAP Model","authors":"Dong Jun, Palidan Ainiwaer, Liu Yao","doi":"10.11648/J.EPES.20200901.12","DOIUrl":"https://doi.org/10.11648/J.EPES.20200901.12","url":null,"abstract":"With increasing pressure on resources and environment, sustainable development is becoming more and more important. As the largest energy consumer in the world, China needs to take measures to achieve energy transformation more urgently both from supply and demand side, which is of great significance for sustainable development and achieving carbon emissions target. In recent years, the capital city Beijing has also made great efforts to promote the replacement of electric energy in residential heating, manufacturing, transportation, power supply and consumption. In order to explore driving forces of total power consumption in Beijing`s final demand sectors, this paper decomposes the factors into industrial electricity substitution effect, industrial energy intensity effect, industrial structure effect, economic scale effect, population structure effect, residential electricity substitution effect, residential energy intensity effect and population size effect based on the logarithmic mean Divisia index (LMDI) decomposition method. The decomposition results show that the industrial electricity substitution effect made the largest contribution to increase power consumption in Beijing’s final energy consumption sector, followed by economic scale effect, residential energy intensity effect, population scale effect and residential electricity substitution effect, and other`s effect does the opposite. Finally, seven different scenarios are set up to forecast the future power consumption of Beijing`s final sectors based on the long-term energy alternative planning model (LEAP), which reveals the impact of energy efficiency improvement and electricity substitution polices on electricity consumption in Beijing`s final energy consumption sectors.","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2020-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79795481","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 : 2020-03-24DOI: 10.11648/J.EPES.20200901.11
Jamilu Ya’u Muhammad, S. Alhassan, I. Abdulmajeed, N. H. Waziri, Najib x Hassan Waziri, Faru Faruk Tukur
Energy audit is considered as one of the comprehensive methods in checking the energy usage and wastage in facilities/buildings. This paper presents the results of the energy audit conducted to investigate the energy consumption pattern of tannery company from its record of fuel expenditure and electricity bills for a period of 5 years (2012 - 2016). Also, the use of energy models system, Energy Quick Energy Simulation Tool (eQUEST) to evaluate the consumption of the energy end users and performance of the company. Results shows peak electricity demand during the hot months from April to August due to high cooling or significant Air condition requirement. 2.37% of electricity consumed was contributed by the burning of AGO in the diesel power generators showing very less contribution over that of National grid 97.63%. The annual average consumption demand of electricity and diesel (kWh equivalent) of the company were 118960.72 kWh and 2881.17 kWh respectively. The energy modeling and simulation results shows that the sum total of the total monthly energy consumption by the end users is 138164 kWh representing the total average value of the annual energy use in air-conditioning (space cooling) was 27%, ventilation fan 2%, factory machineries 39%, heat rejection is 4%, pump and auxiliary is 2% and area lighting 26%. Also, the total monthly peak demand by space cooling was 22372.2 kWh, ventilation fan 1376 kWh, factory machineries 14294kWh heat rejection is 4461 kWh, pump and auxiliary is 1343 kWh and area light 11023 kWh respectively having a sum total monthly peak demand by the end users to be 44969.2 kWh. This represent energy use in air-conditioning (space cooling) was 41%, ventilation fan 3%, 26% factory machineries, heat rejection is 8%, pump and auxiliary is 2% and 20% area light of the annual peak demand. The Energy Used Index (average annual electricity use per tones of leather) was found to be 717.38kWh/tones of leather/Annum.
{"title":"Energy Audit and Management of a Tannery Company: A Case Study of Kano State","authors":"Jamilu Ya’u Muhammad, S. Alhassan, I. Abdulmajeed, N. H. Waziri, Najib x Hassan Waziri, Faru Faruk Tukur","doi":"10.11648/J.EPES.20200901.11","DOIUrl":"https://doi.org/10.11648/J.EPES.20200901.11","url":null,"abstract":"Energy audit is considered as one of the comprehensive methods in checking the energy usage and wastage in facilities/buildings. This paper presents the results of the energy audit conducted to investigate the energy consumption pattern of tannery company from its record of fuel expenditure and electricity bills for a period of 5 years (2012 - 2016). Also, the use of energy models system, Energy Quick Energy Simulation Tool (eQUEST) to evaluate the consumption of the energy end users and performance of the company. Results shows peak electricity demand during the hot months from April to August due to high cooling or significant Air condition requirement. 2.37% of electricity consumed was contributed by the burning of AGO in the diesel power generators showing very less contribution over that of National grid 97.63%. The annual average consumption demand of electricity and diesel (kWh equivalent) of the company were 118960.72 kWh and 2881.17 kWh respectively. The energy modeling and simulation results shows that the sum total of the total monthly energy consumption by the end users is 138164 kWh representing the total average value of the annual energy use in air-conditioning (space cooling) was 27%, ventilation fan 2%, factory machineries 39%, heat rejection is 4%, pump and auxiliary is 2% and area lighting 26%. Also, the total monthly peak demand by space cooling was 22372.2 kWh, ventilation fan 1376 kWh, factory machineries 14294kWh heat rejection is 4461 kWh, pump and auxiliary is 1343 kWh and area light 11023 kWh respectively having a sum total monthly peak demand by the end users to be 44969.2 kWh. This represent energy use in air-conditioning (space cooling) was 41%, ventilation fan 3%, 26% factory machineries, heat rejection is 8%, pump and auxiliary is 2% and 20% area light of the annual peak demand. The Energy Used Index (average annual electricity use per tones of leather) was found to be 717.38kWh/tones of leather/Annum.","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2020-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84675928","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":"DESIGN OF FEEDBACK LINEARIZATION CONTROLLER FOR STATCOM FOR VAR COMPENSATION IN AN INTERCONNECTED SYSTEM","authors":"S. Parvathy, K. Thampatty, T. Nambiar","doi":"10.2316/j.2020.203-0227","DOIUrl":"https://doi.org/10.2316/j.2020.203-0227","url":null,"abstract":"","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68647453","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":"ROBUST CONTROL STRATEGIES DEDICATED TO ELECTRIC VEHICLE MOTORIZATION","authors":"S. Tounsi, S. H. Abdallah","doi":"10.2316/j.2020.203-0089","DOIUrl":"https://doi.org/10.2316/j.2020.203-0089","url":null,"abstract":"","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68646743","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":"WIRELESS POWER TRANSFER SYSTEM FOR SCORBOT ER-4U ROBOTIC ARM","authors":"Samta Shastri, Yusuf Parvez, N. Chauhan","doi":"10.2316/j.2020.203-0044","DOIUrl":"https://doi.org/10.2316/j.2020.203-0044","url":null,"abstract":"","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68647216","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 PLANNING STRATEGY FOR REACTIVE POWER IN POWER TRANSMISSION NETWORK USING SOFT COMPUTING TECHNIQUES","authors":"B. Bhattacharyya, Nihar Karmakar","doi":"10.2316/j.2020.203-0214","DOIUrl":"https://doi.org/10.2316/j.2020.203-0214","url":null,"abstract":"","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68647309","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":"VECTOR CONTROL BASED REGENERATIVE BRAKING FOR INDUCTION MOTOR DRIVEN BATTERY ELECTRIC VEHICLES","authors":"V. Sudhakaran, Varsha A. Shah, M. Lokhande","doi":"10.2316/j.2020.203-0122","DOIUrl":"https://doi.org/10.2316/j.2020.203-0122","url":null,"abstract":"","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68646963","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":"MODELLING OF A DOUBLE-INPUT BIDIRECTIONAL DC–DC CONVERTER FOR HESS AND UNIFIED CONTROLLER DESIGN FOR DC MICROGRID APPLICATIONS","authors":"P. Srinivas, Udaya Bhasker Manthati","doi":"10.2316/j.2020.203-0196","DOIUrl":"https://doi.org/10.2316/j.2020.203-0196","url":null,"abstract":"","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68647598","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":"ASSESSING THE IMPACT OF RENEWABLE PURCHASE OBLIGATION ON INDIAN POWER SECTOR","authors":"Prateek Mundra, A. Arya, S. Gawre","doi":"10.2316/j.2020.203-0252","DOIUrl":"https://doi.org/10.2316/j.2020.203-0252","url":null,"abstract":"","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68648110","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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