Article
Automation & Control Systems
Zhigang Ye, Chen Chen, Bo Chen, Kai Wu
Summary: This article presents an integrated optimization model for unbalanced distribution system restoration after extreme events, which coordinates control actions of various distributed energy resources and considers topology flexibility. Numerical results validate the effectiveness of the model and highlight the necessity of coordinating different flexible resources.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Green & Sustainable Science & Technology
Emad M. M. Ahmed, Mokhtar Aly, Manar Mostafa, Hegazy Rezk, Hammad Alnuman, Waleed Alhosaini
Summary: Recently, there has been increasing concerns over the nonlinearity of bifacial PV (BPV) modules compared to conventional monofacial PV (MPV) modules. This paper proposes a new model for BPV modules based on MPV modeling, which includes a new parameter to adjust the value of the model series resistance and optimize BPV module parameters using the LSHADE method. The proposed model shows superior performance and accuracy over existing methods in the literature, providing an accurate model for the whole operating range of BPV modules.
Article
Green & Sustainable Science & Technology
Vinod Kumar Yadav, Abhishek Yadav, Ranjana Yadav, Aaradhya Mittal, Nadeem Hussain Wazir, Shubham Gupta, Rupendra Kumar Pachauri, Santosh Ghosh
Summary: The article introduces a novel technique to reduce the hot spot temperature of PV cells under partial shading conditions by automatically reconfiguring the PV array. Evaluation through simulation of eight shading scenarios shows an 82% increase in reliability index.
Article
Chemistry, Analytical
Bo Jiang, Hongtao Lei, Shengjun Huang, Wenhua Li, Peng Jiao
Summary: With global warming worsening, natural disasters occur more frequently, posing a great challenge to power systems. This paper proposes a novel two-stage optimization model, considering mobile energy storage vehicles and tie lines, to minimize load shedding and outage duration. By utilizing microgrid formation and MEVs, the load restoration efficiency is improved.
Article
Engineering, Electrical & Electronic
Mohamed R. Hamouda, Mohammed E. Nassar, M. M. A. Salama
Summary: Microgrid planning philosophies are shifting towards independent sustainability for constant secure, reliable operation, with the introduction of transactive energy networks and blockchain technology to enhance electricity exchange and energy market structures. While customers and DG owners benefit from these changes, system operators and utilities face challenges as they transition towards new market models. The use of blockchain promises flexibility, transparency, security, competition, and low-cost reliability in energy trading within isolated microgrids and distribution-level markets.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Energy & Fuels
Jiahui Jiang, Saeed Peyghami, Colin Coates, Frede Blaabjerg
Summary: This paper explores the impact of four different energy management strategies on the reliability of microgrids, revealing that the employed strategies can significantly affect the reliability indices of the system, increasing battery lifetime and reducing energy loss. This provides important insights for power engineers to properly design, plan and control future microgrids.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Green & Sustainable Science & Technology
Arun Kumar Karngala, Chanan Singh
Summary: This paper introduces a new framework for reliability assessment of distribution systems, incorporating distributed generation, energy storage, resource coordination, and cyber-physical systems. The methodology for level 2 reliability assessment, including behind the meter DG and ES systems, is proposed, with multi-state reliability models developed for behind the meter PV and ES systems. The developed methodology is demonstrated on the RBTS bus 4 test distribution system with behind the meter PV and ES systems.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Energy & Fuels
Obed Nkuriyingoma, Engin Ozdemir, Serkan Sezen
Summary: Due to inadequacy of distribution networks in developing countries, electrical energy interruptions are common in small residential areas, negatively impacting people's quality of life and productivity. This study presents a techno-economic analysis of a grid-connected solar PV system with BESS used to supply a small residential community in Rwanda. Simulation results show that the proposed method is technically and economically feasible for addressing the issue of electrical power outages in developing countries.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Economics
Dogan Keles, Joris Dehler-Holland
Summary: The rising share of intermittent renewable energy production poses both threats and opportunities to energy systems. This study evaluates the value of large-scale photovoltaic storage systems under uncertainty and explores the business potential in electricity markets. The operation problem is formulated using stochastic modeling and dynamic programming, and the results are compared to other methods.
Article
Energy & Fuels
Arun Kumar Karngala, Chanan Singh
Summary: A reliable power supply is crucial for modern society and residential systems, as it enables technologies to function effectively and sustain life. This study focuses on the reliability performance of residential systems with behind-the-meter Distributed Energy Resources (DERs), proposing a multistate reliability model and using a sequential Monte Carlo method to evaluate reliability indices. The analysis considers system parameters, geospatial variables, and their impact on system reliability.
Article
Thermodynamics
Xiaoshun Zhang, Die Meng, Jiahui Cai, Guiyuan Zhang, Tao Yu, Feng Pan, Yuyao Yang
Summary: This study proposes an optimal PV array reconfiguration to balance power fluctuation by coordinating with a hydrogen energy storage system. It effectively reduces power regulation cost and increases hydrogen selling and total profits. Using a swarm-based double Q-learning algorithm dramatically improves the total profit of the PV array.
Article
Computer Science, Information Systems
Yihan Zou, Xiaojun Lin, Dionysios Aliprantis, Minghua Chen
Summary: This article proposes a robust optimization-based framework to address power system reliability under multistage renewable uncertainty. By utilizing the concept of safe-dispatch sets, they develop robust multistage decisions and reduce computational complexity through a divide-and-conquer approach.
IEEE SYSTEMS JOURNAL
(2022)
Article
Thermodynamics
Xiaoshun Zhang, Tao Yu, Xiaoguang Ma, Lexin Guo
Summary: Given the significant energy loss caused by partial shading in photovoltaic systems, various array reconfiguration techniques have been proposed to improve power generation efficiency. Previous studies focused on maximizing power output without considering multi-period power fluctuations, resulting in low total profit. This paper presents a new multi-period photovoltaic array reconfiguration model with a hydrogen energy storage system under partial shading conditions, aiming to maximize total profit by considering electricity selling profit, hydrogen selling profit, and regulation cost. A novel multi-agent negotiation algorithm with an auctioneer and multiple bidders is designed to address this problem, achieving efficient and distributed optimization. Case studies demonstrate that the proposed algorithm outperforms five centralized meta-heuristic algorithms, significantly increasing total profit under varying partial shading conditions.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Engineering, Electrical & Electronic
Kendall Parker, Prabir Barooah
Summary: With the increased use of renewable energy sources, the need for reserves becomes crucial to ensure reliable electricity supply. Methods to determine minimal reserves are required to address the high cost, and simple indicators of volatility may not accurately predict reserve requirements in a renewable rich future.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Energy & Fuels
Pawel Ziemba
Summary: In recent years, the share of PV panels in renewable energy generation has been increasing rapidly. The Polish government has introduced several programs to support households in transitioning to PV panels as their primary energy source. This article aims to determine the most suitable PV panels for individual users in Polish households using the PROSA multi-criteria decision analysis method with a stochastic approach based on the Monte Carlo method. The research found that PV panels produced in China and in Chinese-Polish cooperation are the best fit for PV installations in Polish households, while panels produced in Poland rank lower and do not meet the specific needs of these installations.
Review
Energy & Fuels
Maysam Abbasi, Ehsan Abbasi, Li Li, Ricardo P. P. Aguilera, Dylan Lu, Fei Wang
Summary: This paper provides a comprehensive overview of the microgrid concept, including definitions, challenges, advantages, components, structures, communication systems, and control methods, with a focus on low-bandwidth, wireless, and wired control approaches. Microgrids are crucial for current and future electricity network development, offering benefits such as enhanced stability, increased efficiency, integration of clean energies, and improved power quality. Recent research has investigated efficient control systems for different types of microgrids, particularly those based on low-bandwidth communication.
Article
Thermodynamics
Morteza Vahid-Ghavidel, Miadreza Shafie-khah, Mohammad S. Javadi, Sergio F. Santos, Matthew Gough, Darwin A. Quijano, Joao P. S. Catalao
Summary: This paper proposes a method for self-scheduling a distributed energy resource aggregator in a multi-energy system, which manages uncertainty via a combination of Info-gap Decision Theory and stochastic programming, considering factors such as renewable energy, DERs, and EV parking lots.
Article
Engineering, Multidisciplinary
Navid Vafamand, Mohammad Mehdi Arefi, Miadreza Shafie-Khah, Joao P. S. Catalao
Summary: This article investigates the problem of estimating actuator fault and states and controlling the bus voltage in direct current microgrids (DC MGs) with linear and nonlinear constant power loads (CPLs). To solve this issue, a dual-extended Kalman filter (dual-EKF) is suggested for the fault and state estimation. For the control purpose, a linear parameter varying (LPV) model predictive control (MPC) is suggested to regulate the current and voltage of the DC MG.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Jaepil Ban, Jae-Young Park, Young-Jin Kim, Joao P. S. Catalao
Summary: Monitoring, operation, and protection of distribution power grids rely on accurate estimation of line impedances. This paper proposes a new data-driven strategy using an advanced metering infrastructure to estimate LV and MV line impedances. The strategy uses two-level optimization problems formulated with generalized equations and AMI data. Hierarchical estimation is achieved using local and global references, enabling parallel estimation and reducing computation time. Reinforcement learning is integrated to compensate for possible measurement errors, ensuring robust estimation. Case studies and sensitivity analyses confirm improved accuracy and robustness of line impedance estimation for LV and MV levels.
IEEE TRANSACTIONS ON POWER DELIVERY
(2023)
Article
Engineering, Electrical & Electronic
Meisam Mahdavi, Mohammad S. Javadi, Joao P. S. Catalao
Summary: This paper evaluates the impact of lines repair and maintenance on generation-transmission expansion planning (GTEP) by considering transmission and generation reliability. The results of the implementation model on the IEEE RTS demonstrate the significance of including line repair and maintenance in GTEP.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Energy & Fuels
Mehdi Firouzi, Mehrdad Setayesh Nazar, Miadreza Shafie-khah, Joao P. S. Catalao
Summary: This paper presents an integrated framework for optimal resilient scheduling in an active distribution system, considering interactions among aggregators, parking lots, distributed energy resources, and Plug-in Hybrid Electric Vehicles (PHEVs) in the day-ahead and real-time markets. The impacts of traffic patterns on the available dispatchable active power of PHEVs are explored. A two-stage four-level optimization procedure is proposed to optimize the scheduling problems of PHEVs, parking lots and distributed energy resources, aggregators, and the active distribution system. The proposed algorithm reduces interruption and operating costs by 94.56% for the worst-case external shock and decreases the available ramp-up and ramp-down of parking lots by 58.61% with traffic patterns.
Article
Computer Science, Information Systems
Pouria Sheikhahmadi, Salah Bahramara, Andrea Mazza, Gianfranco Chicco, Miadreza Shafie-Khah, Joao P. S. Catalao
Summary: This article introduces a decision-making framework for managing microgrids (MGs) and proposes the concept of local energy and reserve markets (LERMs). Optimal resource scheduling between interconnected MGs can be achieved through solving a bilevel optimization problem, while competing with other MGs. By linearizing the nonlinear terms and transforming it into a mixed-integer linear problem, a model is developed for a test system with three interconnected MGs. Additionally, the sensitivity of the results to the probability of calling reserve is investigated.
IEEE SYSTEMS JOURNAL
(2023)
Article
Automation & Control Systems
Farhad Samadi Gazijahani, Javad Salehi, Miadreza Shafie-Khah
Summary: This article proposes a novel three-stage buildup restoration planning strategy to enhance the resilience of interdependent power and natural gas systems. The strategy includes sectionalizing the system into autonomous microgrids, restoring them in parallel with cold load pick-up conditions, and applying remedial actions such as topology refurbishment and intentional microgrid islanding. The proposed framework also addresses uncertainties through the use of stochastic/information gap decision theory (IGDT) method.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Juan M. Home-Ortiz, Ozy D. Melgar-Dominguez, Mohammad Sadegh Javadi, Matthew B. Gough, Jose Roberto Sanches Mantovani, Joao P. S. Catalao
Summary: This paper presents a planning and operational strategy to improve the recoverability of distribution systems (DSs) and optimize the allocation of dispatchable distributed generation (DG) units. The strategy coordinates a dynamic restoration process using various techniques and captures the uncertainties associated with solar irradiation and demand. Numerical results from simulations on test systems demonstrate the advantages of simultaneously solving the planning and operational stages for improving system recoverability.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Farid Hamzeh Aghdam, Mohammad Sadegh Javadi, Joao P. S. Catalao
Summary: This paper proposes an optimization method for the optimal operation of technical virtual power plants in a reconfigurable network to resolve potential contingency problems. The virtual power plant includes combined heat and power, renewable DGs, dispatchable DGs, thermal and electrical storage systems and loads. The uncertainties of renewable DGs and demand levels are handled using chance constrained programming to ensure the security of the system.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Jiatong Wang, Li Li, Jiangfeng Zhang
Summary: The popularization of solar generation allows residential households to trade surplus energy in a residential peer-to-peer (P2P) energy trading market. However, it is difficult for households to determine optimal market biddings without knowing other households' strategies. This paper proposes a deep reinforcement learning approach to optimize energy trading and demand-side management strategies in a P2P market.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Review
Green & Sustainable Science & Technology
Muhammad Uzair, Li Li, Mohsen Eskandari, Jahangir Hossain, Jian Guo Zhu
Summary: Increasing power demand, aging distribution systems, and concerns towards greenhouse gas emissions have led to the use of distributed generation (DG) in distribution networks. However, the conventional protection methods may not be suitable for bidirectional power flow and dynamic network topologies. The microgrid concept can address these issues, but challenges must be overcome before practical implementation.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Engineering, Civil
Sahar Seyyedeh Barhagh, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Miadreza Shafie-Khah
Summary: This paper proposes an uncertainty-based optimization framework for optimal planning of electrical vehicle charging stations. By considering the uncertainties in different resources, as well as in the state of charge of electric vehicles and electricity load, the proposed model can provide the best planning solution for power distribution systems and gain financial profit.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Homa Rashidizadeh-Kermani, Mostafa Vahedipour-Dahraie, Mimmo Parente, Miadreza Shafie-Khah, Pierluigi Siano
Summary: This study examines the importance of the balancing market in addressing system imbalances and proposes a flexible penalty mechanism to mitigate the negative impact on wind power plant (WPP) revenue. Additionally, a contract between the WPP and an insurance provider, with the system operator (SO) in charge of system balance, is suggested as a remedy to control wind volatilities.
Article
Construction & Building Technology
Sahar Seyyedeh-Barhagh, Mehdi Abapour, Behnam Mohammadi-Ivatloo, Miadreza Shafie-khah
Summary: This paper proposes an optimal risk management procedure for small-scale smart microgrids, aiming to maximize the horizon of uncertainty parameter. By considering energy demand as an uncertain parameter in peer-to-peer household energy sharing, the behavior differences between risk-averse and risk-seeker decision-makers are studied.
SUSTAINABLE CITIES AND SOCIETY
(2023)
