journal: International Journal of Emerging Electric Power Systems

Impact Factor: 1.0

Published since January 1, 2004

International Journal of Emerging Electric Power Systems

ISSN: 1553-779X

Editor-in-chief: Tarlochan Sidhu

Edited by: S. Das, Fei Gao, Y. Liao

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About this journal

Objective
International Journal of Emerging Electric Power Systems (IJEEPS) publishes significant research and scholarship related to latest and up-and-coming developments in power systems. The mandate of the journal is to assemble high quality papers from the recent research and development efforts in new technologies and techniques for generation, transmission, distribution and utilization of electric power.

Topics
The range of topics includes:

electric power generation sources
integration of unconventional sources into existing power systems
generation planning and control
new technologies and techniques for power transmission, distribution, protection, control and measurement
power system analysis, economics, operation and stability
deregulated power systems
power system communication
metering technologies
demand-side management
industrial electric power distribution and utilization systems

Article formats
Research articles, reviews

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History

Content available since 2004 (Volume 1, Issue 1)

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Volume 24 Issue 6

December 2023

Publicly Available December 11, 2023

Frontmatter

Page range: i-ii

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Research Articles

August 29, 2022

Computation and analysis of anisotropic solar radiation model for India

Amandeep Singh Makhija, Shabbir S. Bohra

Page range: 693-703

Abstract

The solar radiation data are a very important parameter to forecast generation from any solar PV (Photo Voltaic) plant to be installed at a suitable location, though it is not readily available for many locations because of the costly measurement instruments, and their maintenance, and calibration issues. The solar irradiation data available from NASA and Meteonorm has the prediction topology of consolidating 20–25 years old irradiation data which has the question of reliability. Furthermore, at various locations in India, the irradiance value of Meteonorm is overestimated than actual. In this research study an attempt has been made to develop an algorithm for the anisotropic solar radiation model by coalescing Gopinathan empirical parameter, Klucher anisotropic model, and Collares-Pereira & Rabl (GKCR) empirical parameter which gives the best results of forecasted daily and monthly solar radiation at almost every location in India. The computed results are compared with Meteonorm and the NASA database for three distinct locations (New Delhi, Chennai, and Kolkata) at different azimuths and tilt angles. The results obtained i.e., solar tilted radiation and tilt gain were very close to that simulated using PVsyst software using Meteonorm and NASA database. The computed results were compared using various statistical tools with measured irradiance values for four distinctly located solar PV plants. The computed result shows the least error compared to actual data for two locations. Employing the GKCR empirical algorithm mentioned in the research article, hourly irradiance data for the next day, for any specific tilt and azimuth angle can be estimated using available weather forecast data (sunshine duration) and can circumvent the penalty levied by the Load dispatch Centre. Furthermore, by using monthly data anticipated by the algorithm, the question of data reliability of chargeable Meteo sources working on coalescing data of antiquated years like NASA and Meteonorm can be solved.

August 29, 2022

An adaptive energy management strategy for supercapacitor supported solar-powered electric vehicle charging station

Jithin Satheesan, Rajeev Thankappan Nair

Page range: 705-716

Abstract

Large-scale electric vehicle integration into the grid is expected in the imminent future. Congestion caused by these integrations can be addressed through a hybrid AC/DC microgrid. The DC sub-grid is exclusively dedicated to incorporating electric vehicles. Solar-powered charging station supported with a supercapacitor energy storage system in the DC sub-grid reduces the stress on the AC sub-grid. This paper presents a hybrid AC/DC microgrid voltage/frequency stability improvement strategy based on adaptive DC-link voltage regulation assisted by energy storage. The proposed volatility-based approach is an efficient strategy to enhance the microgrid stability during generation intermittency and load fluctuations. The combined control scheme of the interlinking converter and supercapacitor energy storage in the independent and hybrid operation modes achieve energy balance with the variations in solar irradiation and the addition/disconnection of electric vehicles. The proposed energy management strategy is tested in real-time under various volatile conditions to validate the performance. The hybrid microgrid with proposed energy management strategy provided a frequency improvement of 0.55% and voltage improvement of 5.4%.

August 29, 2022

Multi-frequency control with fuzzy 2DOFPI in HVBTB converter of LF-HVAC system

Mukul Anand, Swapan Kumar Goswami, Debashis Chatterjee

Page range: 717-728

Abstract

This paper illustrates the design of closed-loop controllers operating High Voltage Back to Back three-phase converter for frequency stabilization and power quality improvement. Simulations of the converter with Multi-frequency control with the proposed Fuzzy-2DOFPI (two degrees of freedom) are carried out in Simulink/MATLAB. Performance parameters such as frequency stabilization and source voltage total harmonic distortion (THD) are considered for comparison of the controllers with conventional ones. The fuzzy-tuned 2DOFPI controller with multi-frequency provides a better result, with a source-voltage THD of 0.23% and acts as a source-side filter for the converter. Finally, the fuzzy-tuned 2DOFPI with multi-frequency controller combination is implemented in an OPAL-RT 5650 real-time simulator for experimental validation of power quality enhancement and frequency stabilization.

September 16, 2022

A modified seven-level cross-connected PUC boost multilevel inverter with reduced cost factor and device count

Hillol Phukan, Tamiru Debela, Jiwanjot Singh

Page range: 729-741

Abstract

The device count (dC) and cost factor (CF) with the boosting feature are the main challenges in the packed u-cell multilevel inverters as the number of levels are increased in the output voltage. In this paper, to mitigate these problems, a new topology of a 7-level modified packed u-cell boost multilevel inverter (PUC-BMLI) is designed to improve the cost factor and device count. Further, it can be used for a wide range of switching frequencies since only one capacitor is required and the voltage across the capacitor is balanced. To generate a 7-level stepped-up voltage across the load, the PUC-BMLI needs only eight power switches and one capacitor. The proposed topology can boost the input voltage by 1.5 times. To generate a 7-level stepped-up voltage across the output multicarrier phase-disposition pulse width modulation (PD-PWM) has been used. To prove the superior performance of the PUC-BMLI, a comparative analysis with existing single DC source boost MLI has been done. The device count (dC) and cost factor (CF) are the lowest compared to the recently proposed topology employing one dc source and producing 7-level across the output. The dC and CF are 10 and 22.33. All the switches are two-quadrant switches, thus reducing the cost of the overall circuit. THD is found to be 4.10% for output current. The feasibility of the 7-level modified topology is evaluated by Matlab/Simulink simulation and verified by an experimental study using the OPAL-RT 4510 real-time platform.

October 7, 2022

Control of multifunctional inverter to improve power quality in grid-tied solar photo voltaic systems

Ramesh Daravath, Srinivasa Rao Sandepudi

Page range: 743-754

Abstract

In this paper, a control algorithm is proposed for a multifunctional inverter to improve power quality in a grid-tied solar photo voltaic (SPV) systems connected to non-linear and unbalanced loads. During light loads and low solar irradiance, the surplus capacity of inverter rating is optimally utilized to compensate some of the power quality (PQ) indices based on conservative power theory (CPT) along with active power injected into the utility grid and also connected loads. The stationary reference frame based proportional resonant (PR) current controller is designed to facilitate accurate tracking of inverter currents, fast time response under dynamic conditions when unbalanced and non-linear loads are connected at the point of common connection (PCC). The proposed control scheme enables selective compensation of power quality indices such as harmonics, unbalance and reactive powers depending on type of load and grid requirements there by, reducing the burden on the utility grid. Experimental results for various dynamic conditions are presented to validate the proposed controller performance and highlight the merits.

October 10, 2022

Research on dual-mode fault suppression strategy of AC isolation and current limiting based on hybrid MMC

Yujia Liu, Baina He, Chenxi Bian, Xin Lin, Yang Liu, Shuo Wu, Fantao Meng, Hui Lou, Lingzhe Kong, Xueting Dai

Page range: 755-766

Abstract

The DC side fault of the high voltage DC transmission system based on modular multilevel converters high voltage DC (MMC-HVDC) is easily affected by the double influence of AC transient electrical quantity infeed and overvoltage and overcurrent, seriously threatening the safe operation of the power grid. Aiming at the problem above, a fault suppression strategy in dual mode of isolation and current limiting is proposed. Based on the half-bridge-full-bridge hybrid MMC, the fault transient mathematical model considering AC feed and sub-module switching feed is analyzed. AC isolation module with double conduction self-resistance structure and current-limiting control module is constructed, which can be adaptively adjusted to the system’s direct current parameters. The ±500 kV double-ended hybrid MMC system model is established to verify the scheme’s effectiveness. In addition, the influence of high AC modulation parameters on the suppression effect is investigated. PSCAD/EMTDC simulation results show that AC active and reactive power feed-in peaks are reduced by 388.69 MW and 119.82 Mvar, respectively, under dual-mode control. The peak value of DC overvoltage and overcurrent is reduced by 1211.53 kV and 22.5 kA, respectively, the fault self-clearing time is shortened by 43 ms, and the fault suppression effect is remarkable. In the high AC modulation ratio operating state, the modulation parameters are positively correlated with the AC power feed and negatively correlated with the overvoltage and overcurrent of the DC system. The research results provide support for the fault protection scheme of the hybrid MMC flexible and direct power grid.

October 28, 2022

A rank correlation based translation model for simulating wind speed time series

Chenwei Wang, Qing Xiao

Page range: 767-778

Abstract

The translation model is a useful tool for simulating non-Gaussian wind speed time series, it employs marginal transformation to fit the distribution function of wind speed, and deploys a Gaussian process with a specified autocorrelation function (ACF) ρ Z ( τ ) ${\rho }_{Z}\left(\tau \right)$ to match the ACF of wind speed. However, determining ρ Z ( τ ) ${\rho }_{Z}\left(\tau \right)$ requires solving an integral equation, which is not computationally convenient. In this paper, an easy-to-use method is presented for determining ρ Z ( τ ) ${\rho }_{Z}\left(\tau \right)$ . Based on Spearman’s rank correlation coefficient, a rank ACF is proposed to characterize the time-dependent behavior of wind speed time series, whereby ρ Z ( τ ) ${\rho }_{Z}\left(\tau \right)$ can be specified by an analytical formula. In the case that only discrete values of ρ Z ( τ ) ${\rho }_{Z}\left(\tau \right)$ are available, a Laguerre polynomial based model is developed to fit ρ Z ( τ ) ${\rho }_{Z}\left(\tau \right)$ . Furthermore, if the distribution function of wind data is unknown, the kappa distribution is introduced to fit the quantile function of wind speed. Finally, a case study is conducted to check the proposed method, the results indicate that the rank correlation based translation model can yield a satisfactory representation for statistical features of wind speed time series.

November 30, 2022

A SDTOGI based speed control method for SPMSG in WECS

Rakesh Sharma, Kuldeep Sahay, Satyendra Singh

Page range: 779-794

Abstract

The sensorless techniques are incorporated to optimize the cost and performance of the Surface Mounted Permanent Magnet Synchronous Generator (SPMSG) in the Wind Energy Conversion System (WECS) in this manuscript. Strengthen Dual third-Order Generalized Integrator (SDTOGI) with Synchronous Reference Frame-Phase Locked Loop (SRF-PLL) is applied in SPMSG to estimate the speed & position of the measured generator stator current. The proposed technique is applied in low-speed direct-driven 1.5 MW SPMSG. SDTOGI with SRF-PLL technique is compared with conventional techniques to investigate the efficacy of the proposed sensorless technique due to rapid change in the torque of the turbine. The stability of the proposed system is higher, as shown in the Nyquist plot. Further, the obtained simulation result shows that the proposed method estimates position and speed efficiently. The results are verified in the OPAL-RT 4510 real-time simulator environment to ensure the efficacy of the proposed technique.

December 5, 2022

Application of blockchain technology in autonomous electricity transaction and settlement at the end of distribution network

Ziya Xing, Boyu Liu

Page range: 795-805

Abstract

With the deepening of the concept of low-carbon environmental protection, the use of renewable energy in social production has become more and more popular. More and more consumers in the distribution network have begun to change their identities to become consumers with the continuous reform of the electricity sales side. Electricity trading and settlement methods in the electricity market directly affect the relevant income of market entities, so a fair and reasonable settlement mechanism is an important factor for the normal operation of the electricity market. Electricity trading refers to the buying and selling of electricity commodities and services, including electricity trading, auxiliary service trading, and transmission rights trading. With the expansion of the electricity market, how to deal with the deviation of electricity is also a difficult problem that requires electricity settlement. This paper aimed to study the application of blockchain technology in the autonomous electricity transaction and settlement at the end of the distribution network. It was expected to use the blockchain technology to set up related transaction mechanisms, provide new solutions for electricity transaction and settlement, and improve the efficiency and fairness of electricity settlement. Blockchain technology does not rely on additional third-party management agencies or hardware facilities, and there is no central control. Except for the self-contained blockchain itself, through distributed accounting and storage, each node realizes information self-verification, transmission and management. On the basis of sorting out the principles of electricity balance and electricity price formation, this paper proposed a contract decomposition method with a higher degree of fit, and revealed the settlement principle of deviation electricity in the electricity market environment. Aiming at the application scenario of blockchain in the energy Internet, an energy trading platform based on blockchain was designed, and the test results showed the feasibility of blockchain in electricity settlement scenarios. The experimental results of this paper showed that in the traditional electricity purchase fee settlement, the average transaction price is stable at 0.6 yuan/KWh. In the blockchain settlement process, the electricity purchase is 25 yuan when the electricity purchase is 50 KWh. Therefore, blockchain settlement is used more frequently in the market, and the profits are higher.

November 15, 2022

Power data sampling model based on multi-layer sensing and prediction

Kai Liu, Shengbo Sun, Guanghua Wu, Wei Guo, Shujun Ji, Kun Li

Page range: 807-815

Abstract

With the development of smart grid and energy Internet, more and more smart sensing devices are installed and used in the power system, thus forming the advanced metering infrastructure (AMI). It makes the power system generate massive data all the time, which may come from smart meters, digital protection devices and so on. Behavior evaluation is to filter out the selected tags that meet the type of user portrait from the user system through the known partial tags, and these similar tags together determine the user’s behavior. How to make good use of the collected power big data is an important research topic in the field of power system. Using data mining technology to analyze power big data is a common research method to deal with power big data problems. To facilitate the staff to quickly understand the characteristics of the user, save service costs, improve user service satisfaction, and find the weak links of the power grid, this paper introduces the random forest algorithm, further researches on the basis of user portraits, combines database technology, machine learning algorithm and Logistics algorithm appropriately, constructs the user data sampling model based on big data, fully excavates the big data information of users and predicts the behavior of power users. According to the results of the forecast, it helps the power enterprises to correct and improve the relevant measures in the future. Experiments show that compared with the traditional Logistics model, the K-S value is increased by about 65.38%. The Gini coefficient is increased by about 12.60%, and the efficiency of the algorithm is improved by 5.26%. It has great advantages in stability and generalization. It has a better effect on power data sampling and forecasting, and helps power enterprises to improve market evaluation and corporate reputation.

December 5, 2022

Day-ahead optimal operation of active distribution networks with distributed generation and energy storage

Diego Feroldi, Pablo Rullo

Page range: 817-830

Abstract

In this work we address the optimal operation in active distribution networks (ADNs) with high penetration of renewable energies and energy storage. The optimal performance of ADNs can include two different optimization problems: Unit Commitment (UC) and Economic Dispatch (ED). The UC problem determines the start-up and shutdown planning of all the dispatchable generation units to supply the electricity demand, minimizing the total cost of operation, while the ED problem determines the active output power of each of the committed units for each hour of the planning horizon. Both problems have the objectives of minimizing the total cost, supplying the demand and complying with the restrictions of the main network. Here the two problems are solved together to achieve the day-ahead optimal operation of active distribution networks with distributed generation and energy storage. A test system based on the IEEE 33-bus distribution network was proposed. The optimal operation problem presented here is analyzed using four scenarios with different renewable generation and load conditions and a time-varying profile for the purchase price of energy from the network. The results reveal that the proposed network together with the optimization methodology can face diverse and highly demanding load situations, with the full use of renewable energies and complying with all the restrictions imposed. The proposed methodology is suitable for use in other optimization problems such as determining the sizing of storage units and distributed generation.

Ahead of Print / Just Accepted

Ahead of Print / Just Accepted

Volume 24 (2023)

Volume 23 (2022)

Volume 22 (2021)

Volume 21 (2020)

Volume 20 (2019)

Volume 19 (2018)

Volume 18 (2017)

Volume 17 (2016)

Volume 16 (2015)

Volume 15 (2014)

Volume 14 (2013)

Volume 13 (2012)

Volume 12 (2011)

Volume 11 (2010)

Volume 10 (2009)

Volume 9 (2008)

Volume 8 (2007)

Volume 7 (2006)

Volume 6 (2006)

Volume 5 (2006)

Volume 4 (2005)

Volume 3 (2005)

Volume 2 (2005)

Volume 1 (2004)

Journal Impact Factor	1.0	2022, Journal Citation Reports (Clarivate, 2023)
5-year Journal Impact Factor	0.9	2022, Journal Citation Reports (Clarivate, 2023)
Journal Citation Indicator	0.24	2022, Journal Citation Reports (Clarivate, 2023)
CiteScore	2.3	2022, Scopus (Elsevier B.V., 2023)
SCImago Journal Rank	0.282	2022, SJR (Scimago Lab, 2023; Data Source: Scopus)
Source Normalized Impact per Paper	0.539	2022, CWTS Journal Indicators (CWTS B.V., 2023; Data Source: Scopus)

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Editorial

Editor-In-Chief
Prof. Tarlochan Sidhu

Professor
Faculty of Engineering and Applied Science
Ontario Tech University
2000 Simcoe Street North
Oshawa, Ontario
Canada L1H7K4

Associate Editors
S. Das, Indian Institute of Science, INDIA
Fei Gao, University of Technology of Belfort-Montbéliard, France
Y. Liao, University of Kentucky, USA
Gayadhar Panda, National Institute of Technology Meghalaya, INDIA
Salkuti Surender Reddy, Woosong University, Republic of Korea

Editorial Board
O.H. Abdalla, University of Helwan, EGYPT
B. Bhajla, Indian Institute of Technology, Roorkee, INDIA
M. El Hachemi Benbouzid,University of Western Brittany, FRANCE
W. Fan, Commonwealth Edison Company (ComEd), USA
Andrea Fioravanti, University of L'Aquila, ITALY
G. Harrison, The University of Edinburgh, UK
Y-L. Ke, Kun Shan University of Technology, TAIWAN
P. Lopes, INESC Porto, PORTUGAL
H. Nouri, University of the West of England, UK
R. Mota Palomino, National Polytechnic Institute, MEXICO
A. Pahwa, Kansas State University, USA
A.G. Phadke, Virginia Tech, USA
S. R. Salkuti, Woosong University, REPUBLIC OF KOREA
M. Sanaye-Pasand, University of Tehran, Iran
M. Shahidehpour, Illinois Institute of Technology, USA
C. Singh, Texas A&M University, USA
E. Tag-Eldin, Cairo University, EGYPT
D. Thukaram, Indian Institute of Science, INDIA
D. Tziouvaras, Schweitzer Engineering Labs, USA
K. Xu,　Nanjing Institute of Technology, China
F. Wang, Shanghai University, Shanghai, CHINA
F. Wen, Zhejiang University, CHINA
I. Zamora, ETSI de Bilbao - University of the Basque Country, SPAIN

(Deutsch)

Online ISSN: 1553-779X
Type: Journal
Language: English
Publisher: De Gruyter
First published: January 1, 2004
Publication Frequency: 6 Issues per Year
Audience: researchers and professionals in the field of power systems