Article
Energy & Fuels
Mehrdad Gholami, Omkolsoom Shahryari, Navid Rezaei, Hassan Bevrani
Summary: This paper presents a method to estimate the required battery capacity in the design phase of a wind farm based on wind speed data and turbines position. The method considers wake effect, turbulence, and spatial smoothing to estimate the short-term fluctuation of wind farm power. It also presents a method to estimate the optimum battery capacity based on statistical characteristics of wind farm power. Additionally, a new model is presented to estimate the battery lifetime in the case of non-uniform charge/discharge cycles. The numerical results show the effectiveness of the proposed approach in determining the optimum battery capacity.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Mayur P. Bonkile, Venkatasailanathan Ramadesigan
Summary: This paper studies battery degradation in standalone PV-wind battery hybrid power systems and finds that increasing the size of the battery energy storage system can extend its lifespan and reduce energy generation costs.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Electrical & Electronic
Iivo Vehvilainen
Summary: This paper discusses how to estimate the availability of intermittent renewables and long-term hydro storage from historic data using modern regression techniques, and emphasizes the importance of properly accounting for the impacts of these factors on generation adequacy.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Energy & Fuels
Yuqing Yang, Stephen Bremner, Chris Menictas, Merlinde Kay
Summary: This study introduces a novel approach for battery sizing in an HRPP based on forecasting error characteristics, which reduces the battery capacity requirements effectively, demonstrating a certain degree of foresight and operability.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Mojtaba Moradi-Sepahvand, Turaj Amraee
Summary: This paper introduces an integrated multi-period model for long term expansion planning of electric energy transmission grid, power generation technologies, and energy storage devices, aiming to address issues such as load demand supply, intermittency of RESs, and system congestion while considering Low-Carbon Policy. A hierarchical clustering method is developed to capture short-term uncertainties, and the BDD method is utilized to solve the computational complexity of joint transmission and generation planning. The effectiveness of the proposed model is validated using the IEEE RTS test system.
Article
Green & Sustainable Science & Technology
Jin Zhong, Math Bollen, Sarah Ro
Summary: This study explores the possibility of achieving Sweden's goal of 100% renewable electricity production by strengthening wind power generation. By tripling the existing wind power capacity and combining it with existing hydropower, the goal could be reached within 20 years.
Article
Green & Sustainable Science & Technology
Issarachai Ngamroo, Wikorn Kotesakha, Suntiti Yoomak, Atthapol Ngaopitakkul
Summary: Energy consumption and environmental issues are driving the increasing use of renewable energy. This study investigates the impact of distributed generation (DG) on distribution systems, considering its sizing and placement as well as the effects on voltage and current under normal and fault conditions. The simulation results show that DG significantly affects the voltage and current characteristics of the distribution system. It is important to analyze and take preventive measures to ensure system reliability.
Article
Engineering, Electrical & Electronic
Marzieh Khosravi, Saeed Afsharnia, Shahrokh Farhangi
Summary: This paper introduces a power management method utilizing a hybrid energy storage system to address the uncertainty of wind power integration into the grid. By using discrete wavelet transform and clustering methods, combined with mixed-integer linear programming and maximizing net present value, the optimal size and type of energy storage systems are determined. The effectiveness of the proposed method is verified through real data validation at a scaled-down wind farm.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Thermodynamics
Sihem Amara, Sana Toumi, Chokri Ben Salah, Abdelaziz Salah Saidi
Summary: This paper presents an improved techno-economic optimal sizing of a hybrid off-grid micro grid system, which optimizes system reliability and cost through iterative algorithm and energy management. It is found that the battery capacity is insufficient to cover load demand when considering autonomy days, leading to the use of a diesel generator as a secondary power supply to overcome this issue.
Article
Energy & Fuels
Mauro Amaro Pinazo, Jose Luis Romeral Martinez
Summary: This paper investigates the intermittent power control in wind turbines using direct-drive permanent magnet synchronous generator technology, while integrating a hybrid energy storage system through a DC link. The algorithm developed effectively manages the state-of-charge of the energy storage system, ensuring stable operation.
JOURNAL OF ENERGY STORAGE
(2022)
Review
Computer Science, Information Systems
Tole Sutikno, Watra Arsadiando, Aree Wangsupphaphol, Anton Yudhana, Mochammad Facta
Summary: This paper comprehensively examines the use of hybrid energy storage systems (HESS) in photovoltaic (PV) power generation and focuses on its ability to combine two storage technologies. It also analyzes important aspects of advanced HESS in PV power generation, including capacity sizing, power converter topology, and energy management strategies. Additionally, it presents and evaluates the implementation of HESS in current real projects of PV power generation.
Article
Energy & Fuels
V. Arun Kumar, Ashu Verma
Summary: Increased energy demand and fossil fuel scarcity have raised concerns about basic energy security, shifting focus to renewable energy. Utilizing energy storage in multi-generation systems can help smooth intermittent generation and stabilize net load variations.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Environmental Sciences
Beibei Xu, Jingjing Zhang, Monica Egusquiza, Junzhi Zhang, Diyi Chen, Eduard Egusquiza
Summary: In the forthcoming decades, wind-solar energy will significantly grow in the power system, leading to uncertainties in power fluctuations; Pumped Storage Power Plants are crucial for regulating these fluctuations. A mathematical model was used to assess the reliability of PSPP in regulating wind-solar power, identifying the inertia coefficient as the most sensitive parameter for regulation.
Article
Thermodynamics
Joao Graca Gomes, Juan Jiang, Cheng Tung Chong, Joao Telhada, Xu Zhang, Sergio Sammarchi, Shuyang Wang, Yu Lin, Jialong Li
Summary: The coupling of electrical batteries with variable renewable power generation can increase the production flexibility and revenue of power plant operators. This study focuses on developing an optimization model to manage the operational revenue of a renewable power unit comprising a wind farm, solar photovoltaic (PV) power plant, and electrical battery. The study analyzes various scenarios and case studies to assess the value of storage for revenue maximization.
Article
Engineering, Electrical & Electronic
Shubhrajit Bhattacharjee, Ramteen Sioshansi, Hamidreza Zareipour
Summary: This study examines the behavior of a strategic firm investing in and operating wind, energy storage, and transmission. Using a bi-level stochastic optimization model, the firm's capacities and offering strategies are determined to maximize expected profits in a centrally dispatched electricity market. The model, applied to a case study based on Alberta's electricity market, utilizes multi-cut Benders's decomposition to solve the resulting large-scale optimization problem.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Biochemistry & Molecular Biology
Maria Ghazzal, M. Iftikhar Hussain, Zafar Iqbal Khan, Kafeel Ahmad, Mudasra Munir, Bilal Ahamad Paray, Mohammad Khalid Al-Sadoon
Summary: This study investigated the accumulation of cobalt in several forage crops and found significant differences in cobalt concentration in different soils, sewage water sources, seasons, and forage ecotypes. Bioaccumulation of cobalt in the food chain, caused by anthropogenic activities, was observed. The results highlight the need to prevent contamination of the food chain by cobalt-rich sewage water and to explore alternative water resources for irrigation.
BIOLOGICAL TRACE ELEMENT RESEARCH
(2023)
Article
Energy & Fuels
Ahmed S. Menesy, Hamdy M. Sultan, Ibrahim O. Habiballah, Hasan Masrur, Kaisar R. Khan, Muhammad Khalid
Summary: In this study, the optimal design of a standalone hybrid renewable energy system is investigated using PV, wind turbine, biomass sources, and a hydro-pumped storage system. The HBO algorithm is found to be the most effective in achieving the desired design that minimizes the cost of energy and loss of power supply probability.
Article
Energy & Fuels
Mohammed Alqahtani, Ponnusamy Marimuthu, Veerasamy Moorthy, B. Pangedaiah, Ch. Rami Reddy, M. Kiran Kumar, Muhammad Khalid
Summary: This paper presents a computational procedure utilizing a novel gray wolf optimization algorithm to determine the optimal distribution of network reconfiguration. The aim is to minimize system power loss, improve the voltage profile, and meet operating constraints under different conditions. The proposed method effectively handles constraint breaches and obtains high-quality solutions in a shorter time. Experimental results using the 33-bus and 69-bus systems demonstrate the efficacy of the GWO algorithm compared to other popular optimization techniques for solving distribution network reconfiguration problems.
Article
Mathematics
Ali Ahmad, Syed Abdul Rahman Kashif, Arslan Ashraf, Muhammad Majid Gulzar, Mohammed Alqahtani, Muhammad Khalid
Summary: Coordinated operation of hydrothermal scheduling with HVDC links considering network constraints is a vital issue. In this paper, a Lagrange multipliers-based method is proposed for solving the hydrothermal economic scheduling problem with HVDC link. The proposed method efficiently minimizes the operational cost of thermal units and maximizes the utilization of hydro units while meeting all constraints. The results of a case study demonstrate the performance of the proposed method.
Article
Engineering, Electrical & Electronic
Ch. Rami Reddy, Obbu Chandra Sekhar, B. Pangedaiah, Khalid A. Khan, Muhammad Khalid
Summary: This paper presents a new passive island detection method for grid-connected hybrid distributed generating systems. The method utilizes positive sequence voltage and current components to calculate Islanding Detection Index (IDI). The proposed method can identify islanding condition in under 70 msec, even in zero power mismatch condition. It is simple, inexpensive, and works with different types of distributed generation.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2023)
Review
Engineering, Electrical & Electronic
Ijaz Ahmed, Abdul Basit, Faizan Mustafa, Mohammed Alqahtani, Muhammad Khalid
Summary: This paper analyzes key control mechanisms in energy utility networks, focusing on the auxiliary control category. It examines the benefits and drawbacks of different approaches and explores information interchange architectures. The study emphasizes the importance of auxiliary control in ensuring reliable utility infrastructure operation and highlights the lack of comprehensive scholarly references.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2023)
Review
Energy & Fuels
Mohammad Ali, Atif Iqbal, Muhammad Khalid
Summary: This paper comprehensively reviews the state-of-the-art MC technology and its prospects, including the advancements in topological structures, modulation and control algorithms, and multiphase structures. It aims to provide comprehensive information on MC technology's current industrial applications and the research scope as the world moves towards AI and digitalization.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Review
Energy & Fuels
Talha Bin Nadeem, Mubashir Siddiqui, Muhammad Khalid, Muhammad Asif
Summary: The sustainable energy transition requires a major revamping of the energy sector, including improvements in power generation, transmission, and distribution systems. Distributed generation offers efficiency and flexibility and has gained significant support worldwide. Since 2010, over 180 million off-grid solar systems have been installed, indicating the popularity and importance of distributed energy systems.
ENERGY STRATEGY REVIEWS
(2023)
Article
Energy & Fuels
Muhammad Anas Baig, Syed Abdul Rahman Kashif, Muhammad Majid Gulzar, Mohammed Alqahtani, Muhammad Khalid
Summary: In this paper, the problem of reference tracking and switching loss minimization in grid-tied inverters is formulated as an integer least square problem. A novel algorithm is proposed to address the implementation of long-horizon control with reduced computational burden. The algorithm utilizes the system's state-space model to predict the sector where the reference voltage could exist, resulting in a significant reduction in computation cost and energy minimization.
Article
Energy & Fuels
Huzaifa Rauf, Muhammad Khalid, Naveed Arshad
Summary: This research proposes a smart feature selection (SFS) strategy-based machine learning framework for battery calendar and cyclic loss prediction. Results demonstrate that the proposed SFS method enhances the prediction accuracy and reduces the mean absolute error for all the machine learning algorithms applied in this study. The proposed SFS method is capable of excavating the useful features and offering accurate prediction results for capacity loss of the lithium-ion battery under real EV usage conditions.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Computer Science, Information Systems
Muaiz Ali, Mohamed A. A. Abdulgalil, Ibrahim Habiballah, Muhammad Khalid
Summary: A new method has been developed to minimize the operating cost in microgrids integrated with renewables and energy storage systems (ESSs) through demand response. By shifting some of the load from high-price periods to low-price periods, the operating cost is reduced for operators and bill prices decrease for consumers. The optimization problem is solved using mixed integer quadratically constrained programming (MIQCP) in the General Algebraic Modeling System (GAMS) with the CPLEX solver.
Article
Computer Science, Information Systems
Muhammad Majid Gulzar, Sumbal Gardezi, Daud Sibtain, Muhammad Khalid
Summary: The research presents a discrete-time model of a hybrid power system consisting of a photovoltaic system, wind energy system, fuel cell, and battery energy storage system. The fuzzy tuned fractional-order proportional derivative controller is used for load frequency control, with automatic tuning of the controller's gains based on fuzzy logic. A diesel generator acts as a synchronous condenser to provide Reactive Power Balance and voltage stability, while the proposed control scheme minimizes frequency oscillation and achieves minimum steady-state error under dynamic load conditions.
Article
Computer Science, Hardware & Architecture
Kumar Reddy Cheepati, E. Parimalasundar, K. Suresh, Ch. Rami Reddy, Mohammed M. Alqahtani, Muhammad Khalid
Summary: This paper discusses the competition between active and passive harmonic filters and presents a design method for tuned passive harmonic filters and their application in high voltage direct current converters. The proposed method performs better than existing methods under both static and dynamic loading conditions.
IEEE CANADIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING
(2023)
Review
Multidisciplinary Sciences
Saddam Aziz, Ijaz Ahmed, Khalid Khan, Muhammad Khalid
Summary: This study explores the incorporation of net-zero technology into existing energy networks to facilitate the shift towards an eco-conscious and sustainable energy infrastructure. It examines the challenges, technological architecture, and management frameworks of integrated energy networks, and provides recommendations for future research.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Faizan E. Mustafa, Abdul Qayyum Khan, Abdus Samee, Ijaz Ahmed, Muhammad Abid, Mohammad M. Alqahtani, Muhammad Khalid
Summary: Industrial processes are complex and nonlinear, making it difficult to identify and isolate defects. This study investigates the use of Principal Component Analysis (PCA), Fisher Discriminant Analysis (FDA), Kernel Fisher Discriminant Analysis (KFDA), and Sequential quadratic programming (SQP) for fault detection and isolation in industrial processes. The findings suggest that FDA, KFDA, and SQP are effective in identifying and isolating faults, while PCA has limitations. Data-driven design approaches offer higher reliability and efficiency compared to PCA-based methods in complicated industrial processes.
Article
Green & Sustainable Science & Technology
Seyed Majid Hashemzadeh, Mohammed A. Al-Hitmi, Hadi Aghaei, Vafa Marzang, Atif Iqbal, Ebrahim Babaei, Seyed Hossein Hosseini, Shirazul Islam
Summary: This article proposes an interleaved high step-up DC-DC converter topology with an ultra-high voltage conversion ratio for renewable energy applications. The converter utilizes an interleaved structure to reduce the input source current ripple, which is advantageous for solar PV sources. By employing voltage multiplier cells and coupled inductor techniques, the topology enhances the output voltage. The article provides comprehensive operation modes and steady-state analyses, compares the proposed structure with other similar converter topologies, and validates the mathematical analysis with experimental results.
IET RENEWABLE POWER GENERATION
(2024)
Article
Green & Sustainable Science & Technology
Gang Xu, Zixuan Guo
Summary: This paper proposes a two-stage resilience enhancement strategy for the recovery of critical loads after disasters. The first stage utilizes a heuristic algorithm to determine the post-disaster topology, while the second stage incorporates user demand response to maximize the socio-economic value of the recovery.
IET RENEWABLE POWER GENERATION
(2024)
Article
Green & Sustainable Science & Technology
Faruk Oral
Summary: This study investigates the wind characteristics and electricity generation potential from wind energy in the Bitlis-Rahva region in eastern Turkey. Wind data from the Bitlis meteorological station is analyzed using the WindPRO program to determine the wind speed distribution and predict turbine performance. The results show that the region has low wind energy capacity factor, indicating it is not efficient for wind energy investments. However, it is suggested that higher altitudes in the region may have better wind energy utilization.
IET RENEWABLE POWER GENERATION
(2024)
Article
Green & Sustainable Science & Technology
Yingjie Tang, Zheren Zhang, Zheng Xu
Summary: This paper investigates the modular multilevel matrix converter with symmetrically integrated energy storage for low frequency AC system. An evaluation method for the minimum required number of active submodules is presented, and the influences of operating conditions on the minimum required number of active submodules are studied. Issues about the converter control system are also discussed in this paper.
IET RENEWABLE POWER GENERATION
(2024)
