Article
Construction & Building Technology
Swati Sharda, Mukhtiar Singh, Kapil Sharma
Summary: In the era of smart grid, demand side management (DSM) is crucial for development of sustainable cities and societies. This paper discusses practical challenges in implementing DSM through load shifting for IoT-enabled home energy management systems (HEMS), and emphasizes the need for advanced optimization algorithms.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Energy & Fuels
Henrique S. Eichkoff, Daniel P. Bernardon, Julio A. Bitencourt, Vinicius J. Garcia, Daiana W. Silva, Lucas M. Chiara, Sebastian A. Butto, Solange M. K. Barbosa, Alejandre C. A. Pose
Summary: This study introduces a demand-side management methodology to address the problem of excessive loading on power grids due to irrigation activities in rural areas of southern Brazil. By adjusting the load of irrigation customers, the study proposes a load shifting strategy to reduce demand during peak periods and shift it to lower load periods. The results show that this model can reduce maximum demand and daily load variations, ensuring the continuity of electric power supply and benefiting both customers and power utilities.
Review
Thermodynamics
Elisa Guelpa, Vittorio Verda
Summary: This paper is the first survey on the use of demand side application in district heating networks, clarifying the terminology and implementation stages. Demand side management is considered as a great technique for district heating management, achieving benefits such as peak shaving, doubled load factor, and reduction of primary energy needs.
Article
Green & Sustainable Science & Technology
Ryan O'Reilly, Jed Cohen, Johannes Reichl
Summary: This paper develops quantitative predictions for residential electricity demand and the potential for load shifting for Europe at a fine spatial scale for years 2022-2050. It provides insights and applications for energy system models, infrastructure planners, grid operators, and policy makers in assessing the value and future role of load shifting, as well as considering load shifting in future market designs.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Engineering, Electrical & Electronic
Yi Ding, Dunjian Xie, Hongxun Hui, Yan Xu, Pierluigi Siano
Summary: This paper proposes a game-theoretic demand-side management (DSM) model that optimizes the global power consumption schedule by individual TCL user's optimization and integrates the prediction of REN outputs into the pricing mechanism to guide users in making their best power consumption schedules. The development of a novel pricing mechanism based on concave N-person game theory and a simplified model for fast solution in the power consumption game are highlighted as key contributions.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Energy & Fuels
Godiana Hagile Philipo, Josephine Nakato Kakande, Stefan Krauter
Summary: This paper presents a demand-side management strategy based on load shifting and peak clipping to address the issues of intermittency and demand growth in African rural microgrid systems. Simulation results demonstrate that the proposed algorithm can reduce peak demand and improve flexibility for customers.
Article
Energy & Fuels
Salaheddine Soummane, Amro M. Elshurafa, Hatem Alatawi, Frank A. Felder
Summary: We used a national Saudi power system dispatch optimization model to study the effects of load shifting from the industrial sector. The model calculated the fuel consumption, emissions, and costs of shifting industrial loads from summer to winter months without changing tariffs and production levels. The results show potential cost savings of $7.9 million to $17.7 million per year and a reduction of carbon dioxide emissions by up to 584 thousand tons. Furthermore, implementing load shifting could save $127.2 million to $239.4 million per year when considering the opportunity costs of saved fuel.
ENERGY STRATEGY REVIEWS
(2023)
Article
Energy & Fuels
Shahwaiz Ahmed Hashmi, Chaudhry Fahad Ali, Saima Zafar
Summary: A smart grid is an electricity network that employs digital communication technologies to monitor and manage electricity usage. To save energy, future smart grids will utilize demand side management mechanisms. By integrating IoT and cloud computing technologies, they can more effectively monitor and manage consumer electricity demands.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Thermodynamics
Geremi Gilson Dranka, Paula Ferreira, A. Ismael F. Vaz
Summary: The study highlights the high potential of Demand-Response (DR) in power systems planning, which helps delay future investment in power capacity and reduce CO2 emissions. However, the limited potential of DR to integrate additional renewable plants and uncertainties related to future weather conditions need to be emphasized.
Article
Green & Sustainable Science & Technology
Erin Musabandesu, Frank Loge
Summary: Energy load shifting from wastewater treatment plants can increase renewable energy integration and reduce greenhouse gas emissions. Research shows that the Santa Rosa wastewater treatment plant can save up to 4.8% in energy costs through the demand resource program. Challenges include timing demand reduction periods accurately and improving methods for measuring energy load reduction.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Electrical & Electronic
Aziah Khamis, M. H. Aiman, W. M. Faizal, C. Y. Khor
Summary: This study evaluates the impacts of integrating EV chargers into distribution networks and proposes a charging strategy. The proposed strategy manages the power in the distribution network during EV charger connection, reducing the impact of EV charging. Experimental results show that the proposed charging strategy can reduce peak active power losses by 2.2% to 3.2%.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Mathematics
Alessandro Niccolai, Gaia Gianna Taje, Davide Mosca, Fabrizio Trombello, Emanuele Ogliari
Summary: In the context of high dependency on fossil fuels, the efforts towards a more sustainable world are having significant economic and political impacts. This paper introduces a specific procedure for demand-side management in an industrial scenario, using evolutionary algorithms and considering different cost factors.
Review
Energy & Fuels
Eity Sarker, Pobitra Halder, Mehdi Seyedmahmoudian, Elmira Jamei, Ben Horan, Saad Mekhilef, Alex Stojcevski
Summary: The integration of demand side management with smart grid can promote residents' transition into smart homes and sustainable cities by reducing carbon emissions. Previous literature has shown that DSM practice can effectively reduce energy costs and carbon emissions, but challenges in SG implementation include security, privacy, tariff regulation, energy transmission, distribution, and effective energy resource utilization. Various international organizations have taken measures to ensure the security and privacy of DSM in SG, and hybrid algorithms have shown better performance in optimizing DSM problems compared to single algorithms. Overall, the paper highlights research gaps and future directions in this field.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Review
Green & Sustainable Science & Technology
Khouloud Salameh, Mohammed Awad, Aisha Makarfi, Abdul-Halim Jallad, Richard Chbeir
Summary: Continuous advancements in Information and Communication Technology and the emergence of the Big Data era have led to a transformation in the traditional power systems, giving rise to Demand Side Management as a key new technique. This management activity helps users optimize their electricity consumption to reduce utility bills and use power efficiently during peak times, but also poses challenges that need to be addressed for successful implementation.
Article
Engineering, Electrical & Electronic
Mohammad Sohrab Hasan Nizami, M. J. Hossain, Khizir Mahmud
Summary: This paper presents a nested transactive energy (TE) market methodology for utilizing demand-side flexibility of small-scale residential consumers through different layers of trading. An optimization model is proposed and numerically validated, showing the effectiveness of the method.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Chemistry, Multidisciplinary
Chanuri Charin, Dahaman Ishak, Muhammad Ammirrul Atiqi Mohd Zainuri, Baharuddin Ismail
Summary: This study introduces a novel modified Levy flight optimization for photovoltaic systems, improving power tracking capability under partial shading conditions.
APPLIED SCIENCES-BASEL
(2021)
Article
Thermodynamics
Farihan Mohamad, Jiashen Teh, Ching-Ming Lai
Summary: The penetration of renewable energy sources, particularly solar energy, is increasing globally to reduce carbon emissions. Battery energy storage systems (BESSs) emerge as an important component of solar-integrated power systems due to their ability to store surplus solar power. However, traditional BESS deployment lacks consideration of network topology and cooperation among BESSs, limiting their ability to collectively store excess solar power.
Article
Energy & Fuels
Ching-Ming Lai, Jiashen Teh
Summary: This study combines network topology optimization, dynamic thermal rating system, and battery storage system to evaluate their synergistic effects on wind integration and network reliability. The results show that the proposed combination of methods reduces system dispatch, load curtailment, and wind curtailment costs the most when compared to any combinations with fewer methods or using each method in isolation.
Article
Computer Science, Information Systems
Bilkisu Jimada-Ojuolape, Jiashen Teh
Summary: The integration of smart infrastructures and the use of information and communication technology have improved the efficiency and sustainability of the power network. However, certain technologies have disadvantages such as infrastructure failures, interdependencies, and cyber intrusions, which contribute to reduced network reliability. This study investigates the impact of ICT contingencies on network reliability by combining dynamic thermal rating and system integrity protection schemes, using phasor measurement units. The evaluation is conducted using a Monte Carlo simulation approach on the IEEE-RTS, demonstrating the advantages of ICTs.
IEEE SYSTEMS JOURNAL
(2022)
Article
Chemistry, Multidisciplinary
Muhammad Najwan Hamidi, Arjuna Marzuki, Dahaman Ishak, Mohamed Salem, Mohd Hezri Marzaki, Ikechi Augustine Ukaegbu
Summary: This paper presents an experimental evaluation and validation of a standalone photovoltaic renewable energy system using a perturb and observe MPPT-based voltage controller for application on a reduced component multilevel inverter. The results show that the voltage controller is capable of producing constant voltage levels and delivering maximum power under varying conditions. The proposed PV system is first analyzed through MATLAB/Simulink simulations and then experimentally evaluated.
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Yasir Yaqoob, Arjuna Marzuki, Ching-Ming Lai, Jiashen Teh
Summary: This paper presents a fuzzy thermal aging model for transmission lines equipped with a fuzzy dynamic thermal rating system. By calculating the ampacity of the transmission line and considering the conductor temperature under fully loaded conditions, the fuzzy annealing degree of the conductor is determined. Simulation results show that the proposed framework is robust against various operating conditions and provides crucial information for managing transmission assets and operation.
Article
Green & Sustainable Science & Technology
Salah Alatai, Mohamed Salem, Ibrahim Alhamrouni, Dahaman Ishak, Ali Bughneda, Mohamad Kamarol
Summary: A design proposal for a five-level LLC resonant DC-DC converter for battery chargers is presented in this paper. The proposed converter achieves high frequency operation and soft switching through a transform-less LLC resonant tank. It has advantages in terms of weight, size, cost, and implementation simplicity, while ensuring smooth energy conversion and higher power density and efficiency.
Article
Energy & Fuels
Hamza Abunima, Woan-Ho Park, Mark B. Glick, Yun-Su Kim
Summary: Carbon emissions resulting from urbanization and population growth worldwide are leading to climate change and global warming. To address the challenges posed by the intermittent behavior of renewable energy sources (RES), microgrid (MG) technology is introduced and studied. This paper proposes a two-stage stochastic optimization method integrated with a novel artificial neural network (ANN)-based prediction model to solve the scheduling issue of MG in islanded mode.
Article
Energy & Fuels
Chanuri Charin, Dahaman Ishak, Muhammad Ammirrul Atiqi Mohd Zainuri, Baharuddin Ismail, Turki Alsuwian, Adam R. H. Alhawari
Summary: This paper presents a modified Levy particle swarm optimization (MLPSO) to improve the capability of maximum power point tracking (MPPT) under various partial shading conditions. The proposed algorithm successfully converges to the global maximum power point (GMPP) and guarantees the tracking of GMPP under complex partial shading. The algorithm shows high efficiency and fast-tracking speed compared to conventional algorithms.
Review
Energy & Fuels
Ching-Ming Lai, Jiashen Teh
Summary: The dynamic thermal rating (DTR) system safely determines the thermal limits of power components based on environmental conditions. However, existing reviews of the DTR system only focus on transmission lines and networks, neglecting the thermal limits of transformers and distribution cables, and have limited research themes. This review article addresses these drawbacks by collecting and categorizing existing research articles, providing a comprehensive summary for prospective researchers of the DTR system.
Article
Computer Science, Information Systems
Bilkisu Jimada-Ojuolape, Jiashen Teh
Summary: The modern electricity network has become smarter and more reliable with the addition of information and communication technology. However, the implementation of dynamic thermal rating systems may lead to line outages, making it necessary to design system integrity protection schemes to ensure network security. The use of synchrophasors can improve wide-area monitoring and protection capabilities.
IEEE SYSTEMS JOURNAL
(2022)
Article
Computer Science, Information Systems
Ali Bughneda, Mohamed Salem, Eklas Hossain, Dahaman Ishak, Natarajan Prabaharan
Summary: This work presents a cascaded five-level resonant boost DC-DC converter with variable frequency control to achieve wide load and input voltage variation, high efficiency, and zero voltage switching. The converter design and selection of voltage gain and operation frequency range were discussed in detail. Simulation results using MATLAB/Simulink showed the different behavior of the LLC circuit with a five-level inverter compared to full-bridge inverters. The adopted variable frequency control demonstrated fast dynamic response and high efficiency in various input and load conditions. Experimental validation with a laboratory prototype confirmed the effectiveness and viability of the proposed converter.
Article
Computer Science, Information Systems
Olatunji Ahmed Lawal, Jiashen Teh
Summary: Dynamic Thermal Rating (DTR) is an intelligent grid technology that predicts changes in line rating and allows for optimum power line usage. This study conducted a meta-analysis of DTR forecasting methods and found that the 50th percentile quantile regression method is the most reliable and provides better confidence in DTR forecasting.
Article
Computer Science, Information Systems
Yap Hoon, Muhammad Ammirrul Atiqi Mohd Zainuri, Ali Saadon Al-Ogaili, Ahmed N. Al-Masri, Jiashen Teh
Summary: This paper introduces an alternative control technique named modular fundamental element detection (modular-FED) to manage harmonic current in three-phase three-wire parallel-connected active power filter (PAPF) under unbalanced and/or distorted grid conditions. The proposed technique with modular structure shows superior control performance compared to the standard SRF technique, providing effective mitigation of harmonics in the supply grid.
Article
Computer Science, Information Systems
Mohamed K. Metwaly, Jiashen Teh
Summary: The increased integration of intermittent renewable energy sources into power systems has caused more power grid congestions, leading system operators to require more advanced control methods to alleviate this pressure. The combination of dynamic thermal rating (DTR) and operational tripping scheme (OTS) can effectively improve power adequacy and system security by considering fuzzy numbers to avoid unnecessary generation tripping and blackouts. The novel Fuzzy-DTR-OTS delays generation tripping, enhances power supply adequacy, improves system security, and prevents cascading blackouts.
