International Journal of Power and Energy Systems最新文献_第8页

HYBRID ALGORITHM FOR TRACKING MAXIMUM POWER IN SOLAR PV ARRAY UNDER PARTIALLY SHADED CONDITION 部分遮阳条件下太阳能光伏阵列最大功率跟踪的混合算法

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International Journal of Power and Energy Systems Pub Date : 2019-01-01 DOI: 10.2316/j.2019.203-0167

Balaji Vetrivelan, P. Kareem

引用次数: 3

INDUCTANCE AND FLUX-WEAKENING CHARACTERISTICS OF DOUBLE-STATOR FLUX-SWITCHING PERMANENT MAGNET MACHINE 双定子磁通开关永磁电机的电感及弱磁特性

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International Journal of Power and Energy Systems Pub Date : 2019-01-01 DOI: 10.2316/j.2019.203-0073

C. C. Awah, O. Okoro, U. B. Akuru, S. Oti

引用次数: 0

A MODIFIED PWM SCHEME TO IMPROVE AC POWER QUALITY FOR MLIS USING PV SOURCE 一种改进的PWM方案，以改善使用pv源的multi - is交流电能质量

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International Journal of Power and Energy Systems Pub Date : 2019-01-01 DOI: 10.2316/J.2019.203-0115

A. R. Kumar, Deepa Thangavelusamy, Sanjeevikumar Padmanaban, D. Kothari

引用次数: 5

OPTIMIZATION OF DISTRIBUTION NETWORKS WITH INTEGRATION OF DISTRIBUTED GENERATORS USING COOPERATIVE GAME THEORY 基于合作博弈论的分布式发电机组集成配电网优化

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International Journal of Power and Energy Systems Pub Date : 2019-01-01 DOI: 10.2316/j.2019.203-0127

Akash . Talwariya, Pushpendra Singh

引用次数: 4

LESS COMPUTATIONAL BASED MPC CONTROL FOR SEVEN-LEVEL CONVERTER FOR PV GRID-TIED APPLICATIONS 光伏并网应用中七电平变流器的MPC控制

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International Journal of Power and Energy Systems Pub Date : 2019-01-01 DOI: 10.2316/J.2019.203-0114

Nidhi Mishra, Bhim Singh

引用次数: 0

Changes in Insulation Characteristics of High-Voltage Motor Stator Windings with Temperature and Moisture 高压电机定子绕组绝缘特性随温度和湿度的变化

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International Journal of Power and Energy Systems Pub Date : 2018-11-15 DOI: 10.11648/j.epes.20180705.12

Tae-Sik Kong, Hee-Dong Kim, Hung-Sok Park, Soo-hoh Lee, Joomin Park

引用次数: 3

Short-Term Power Load Forecasting Based on EMD-Grey Model 基于emd -灰色模型的短期电力负荷预测

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International Journal of Power and Energy Systems Pub Date : 2018-09-04 DOI: 10.11648/J.EPES.20180704.11

Dong Jun, W. Pei, Dou Xihao

{"title":"Short-Term Power Load Forecasting Based on EMD-Grey Model","authors":"Dong Jun, W. Pei, Dou Xihao","doi":"10.11648/J.EPES.20180704.11","DOIUrl":"https://doi.org/10.11648/J.EPES.20180704.11","url":null,"abstract":"With the issuance of \"electricity reform No. 9 document\" in 2015, a new round of power system reform in China has been continuously pushed forward. With the gradual development of the pilot spot market in various provinces, the importance of load forecasting to the various main bodies of the spot power market has been constantly revealed. In order to improve the accuracy of short-term load forecasting in the spot market, and better highlight the randomness, periodicity and related trend of load fluctuation, this paper proposes a short-term load forecasting based on grey model and the EMD combination model, predict the future 24-hour load. In other words, GM(1,1) is used to predict the residual value sequence of EMD decomposition. In order to ensure the stability of the residual value sequence, improve the accuracy of the prediction and improve the effect of short-term load forecasting. Combined with MATLAB tools, the combined prediction model was simulated and verified by using the America PJM power market load data. The comparison results of the combined model with the single GM(1,1) and GM(1,2) respectively show that the combined model can significantly improve the accuracy of load forecasting compared with the traditional grey model method, providing the method guidance for load forecasting to better participate in the demand response under the new market environment.","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":"65 1","pages":"42"},"PeriodicalIF":0.5,"publicationDate":"2018-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79585906","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}

引用次数: 5

Investigation into the Optimal Wind Turbine Layout Patterns for a Wind Farm in Walvis Bay, Namibia 纳米比亚沃尔维斯湾风电场风力机最佳布局模式研究

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International Journal of Power and Energy Systems Pub Date : 2018-08-30 DOI: 10.11648/J.EPES.20180703.12

T. Wanjekeche

{"title":"Investigation into the Optimal Wind Turbine Layout Patterns for a Wind Farm in Walvis Bay, Namibia","authors":"T. Wanjekeche","doi":"10.11648/J.EPES.20180703.12","DOIUrl":"https://doi.org/10.11648/J.EPES.20180703.12","url":null,"abstract":"Due to the unpredictable nature of wind speed and direction, there is a need to optimize the wind turbines placement to extract maximum available wind power at a low cost. Through optimization, best positions of the wind turbines that lead to maximum output are determined. This paper presents an into an optimal Wind Turbine (WT) layout pattern for three Wind Farm (WF) configurations (aligned, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). A Hypothetical WF (2 km X 2 km ) is analyzed based on 2016 Wind data. Result shows that the total power generated from the customized is 863.098 kW, from Genetic Algorithm (GA) layout, the total power generated is 1296.286 kW while from Particle Swarm Optimization (PSO) the total power generated is 1300.668 kW. In comparison to the customized layout, optimization algorithms layouts resulted in a good improvement of the total power generated, GA improved the total power generated by 50.2% while PSO improved the total power generated by 50.7%. Optimization Algorithms layout proved to be efficient as compared to the customized layout because they have fewer power losses. GA and PSO layout have losses of 13.5% and 13.3% respectively, while the customized layout resulted in the most losses which are at 43%. The results from GA and PSO slightly differ, with a small difference in power of 4.4 kW.","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":"22 1","pages":"33"},"PeriodicalIF":0.5,"publicationDate":"2018-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74289716","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}

引用次数: 1

Smart Grid Communication Infrastructure, Automation Technologies and Recent Trends 智能电网通信基础设施、自动化技术及最新趋势

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International Journal of Power and Energy Systems Pub Date : 2018-07-05 DOI: 10.11648/J.EPES.20180703.11

M. Aslam, Nadeem Shahbaz, Rauf ur Rahim, Muhammad Gufran Khan

{"title":"Smart Grid Communication Infrastructure, Automation Technologies and Recent Trends","authors":"M. Aslam, Nadeem Shahbaz, Rauf ur Rahim, Muhammad Gufran Khan","doi":"10.11648/J.EPES.20180703.11","DOIUrl":"https://doi.org/10.11648/J.EPES.20180703.11","url":null,"abstract":"In the last century, there was no major alteration in the structure of power grids. Studies have shown that existing infrastructure is no longer suitable to meet requirements of the future. To overcome the challenges and fulfil future requirements, we need a network that is reliable, efficient and intelligent. This has led to the development of emerging concept of smart grid (SG). Smart grids are the next generation of electrical power grids; a promising solution to overcome energy crises. Smart grid system is the integration of advanced computing and communication technologies with power system infrastructure. In this paper, we provide a survey of the communication infrastructure in smart grids that includes communication architecture and different network compositions, technologies, and intelligent functions that are employed in this architecture. This survey is expected to provide improved understanding of the technologies, its potential benefits and impact. Moreover, we intend to provoke interest amongst the research community to discover more about this emerging area to realize the potential of smart grid concept.","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":"8 1","pages":"25"},"PeriodicalIF":0.5,"publicationDate":"2018-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87862886","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}

引用次数: 3

Optimal Transmission Congestion Management with V2G in Smart Grid 基于V2G的智能电网最优传输拥塞管理

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International Journal of Power and Energy Systems Pub Date : 2018-05-05 DOI: 10.11648/j.epes.20180702.11

Amin Azari, S. Soleymani, B. Mozafari, Ghazaleh Sarfi

{"title":"Optimal Transmission Congestion Management with V2G in Smart Grid","authors":"Amin Azari, S. Soleymani, B. Mozafari, Ghazaleh Sarfi","doi":"10.11648/j.epes.20180702.11","DOIUrl":"https://doi.org/10.11648/j.epes.20180702.11","url":null,"abstract":"The power system operators are looking for optimizing the power generating resources in the unit commitment problems considering the binding constraints. With the reconstruction in the power network structure, the increase in electricity price during some hours of day, and increase in fuel price, the utilities need to change their management paradigms. A smart grid can be a suitable choice for addressing these issues because they are able to continue working smartly. With the progress in the technology of batteries, power electronic devices, many well-known companies such as Toyota and Tesla have started producing electric and hybrid vehicles since 1990. Introducing electric vehicles to the power system provides unprecedented environmental and economic opportunities and at the same time new challenges to deal with for the system operators. The vehicle to grid (V2G) technology can enable the electric vehicles to inject energy to the grid in addition to its regular path of receiving energy from the grid. In this paper, the effect of the technology of V2G on the operation cost and LMP with considering the line congestion limits are investigated. To solve the optimization problem, a mixed integer linear programming (MILP) technique in the GAMS software is used. The proposed method is tested on the IEEE 6 bus system and the results are presented. This simulation shows that although the presence of electric vehicles has no significant effect on reducing or increasing of the operation cost in smart grid and may even reduce the operation cost in a certain number of EVs, due to their daily trips and shift from a bus to another bus, they act as a transmission line during the day and reduce the line congestion, resulting in a significant reduction in the local marginal price (LMP) in the peak load hours, and also increasing the security of the power system when the line capacity falls.","PeriodicalId":43153,"journal":{"name":"International Journal of Power and Energy Systems","volume":"44 1","pages":"16"},"PeriodicalIF":0.5,"publicationDate":"2018-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78800559","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}

引用次数: 2