Article
Energy & Fuels
Seyed Alireza Alavi Matin, Seyed Amir Mansouri, Mohammad Bayat, Ahmad Rezaee Jordehi, Pouria Radmehr
Summary: This paper proposes a dynamic model for multi-microgrids maintenance planning over a 10-year period, taking into account daily operating conditions. The results demonstrate that maintenance services can significantly reduce operating costs, distribution feeder reconfiguration can reduce maintenance costs and operating costs, and coordinated operation of storage systems and demand response programs can reduce operating costs.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Xin Zhao, Zhenqi Bai, Wanlei Xue, Nan Xu, Chenhui Li, Huiru Zhao
Summary: This study establishes a bi-level cooperative robust planning model considering the impact of distributed renewable energy and demand response on the distribution grid. Model verification and analysis show that considering demand response can delay investment costs, enhance load flexibility for power users, and effectively avoid issues such as load cutting.
Article
Engineering, Electrical & Electronic
Yixin Huang, Zhenzhi Lin, Xinyi Liu, Li Yang, Yangqing Dan, Yanwei Zhu, Yi Ding, Qin Wang
Summary: A novel bi-level coordinated planning model is proposed in this paper, which optimizes the economic trade-off between demand response (DR) resources and the configuration of lines and energy storage systems in ADN planning. The results of case studies demonstrate the effectiveness of the proposed model in practical applications.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2021)
Article
Energy & Fuels
Jorge Angarita Marquez, Mohammad Ahmad A. Al-Ja'Afreh, Geev Mokryani, Sohag Kabir, Felician Campean, Cuong Dao, Sana Riaz
Summary: This paper proposes a novel approach for the reliability cost-based optimization of Distribution Systems (DS), considering tie line-based network reconfiguration method with integration of Distributed Energy Resources (DER). An optimal Energy not Supplied (ENS) index is proposed, where the capacity is handled by curtailment devices in the network such as sectionalizers and the energy supplied by DERs which considers Flexibility Services (FS) within a market environment. The decision variables include the investment and operation of tie-lines and buying regulation services from DER such as Distributed Generation (DG) and Battery Energy Storage Systems (BESS).
Article
Engineering, Electrical & Electronic
Milad Kabirifar, Mahmud Fotuhi-Firuzabad, Moein Moeini-Aghtaie, Niloofar Pourghaderi, Payman Dehghanian
Summary: This paper presents a new framework for multistage expansion planning in active power distribution networks. The framework considers active network management through clearing the local energy market at the distribution level. The proposed model is formulated as a bi-level optimization problem, where the upper level minimizes the costs imposed on the distribution system operator (DSO), while the lower level maximizes social welfare through clearing the local energy market. The implementation of the model on distribution test systems validates its performance in making cost-effective planning decisions.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Energy & Fuels
Peyman Amirpour Giglou, Sajad Najafi Ravadanegh
Summary: This paper investigates the impact of false data injection attacks on demand response real-time pricing and proposes a defense strategy based on distribution network reconfiguration, using a bi-level optimization model for modeling and evaluation.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Green & Sustainable Science & Technology
Yan Ding, Xiaoting Wei
Summary: A bi-level optimization model was proposed to determine a planning program for regional energy systems, with an evaluation index system established to assess operation performance. The model was verified in a real-world case study, showing the effectiveness of maximizing ground source heat pump capacity and utilizing a precooling/preheating + temperature reset strategy.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Omid Homaee, Arsalan Najafi, Michal Jasinski, Georgios Tsaousoglou, Zbigniew Leonowicz
Summary: This paper discusses the coordination problem of dispatch actions and energy exchange between two interconnected ADNs. Bilateral energy trading allows neighboring ADNs to benefit from locational marginal price differences. The problem is formulated as a robust bi-level program and solved using the KKT conditions and ADMM. Simulation results show the convergence behavior of the proposed method and quantify the value of DSO-DSO coordination in the presence of an interconnecting line between the ADNs.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Chemistry, Multidisciplinary
Wei Jin, Shuo Zhang, Jian Li
Summary: The development of active distribution networks (ADN) with a high proportion of renewable energy, driven by the energy crisis and environmental concerns, poses challenges to power system operation. Network reconfiguration is used in the planning stage to enhance the adjustable capacity of the power system and promote the consumption of renewable energy. A robust optimization model considering network reconstruction and distributed power generation in ADN is proposed, incorporating a wind-light-load uncertain scenario set to address uncertainty. The influence of network reconfiguration on DG planning, economy, and reliability of ADN is analyzed through simulation, validating the model.
APPLIED SCIENCES-BASEL
(2023)
Article
Thermodynamics
Tanuj Rawat, K. R. Niazi, Nikhil Gupta, Sachin Sharma
Summary: Demand response (DR) plays a crucial role in enhancing the techno-economic metrics of distribution systems and benefiting customers in smart grids. By coordinating the distribution system operator (DSO) and DR aggregators, a multi-objective optimization model is proposed to optimize pricing policies, dispatch of distributed generations, and maximize profit. The model is effectively assessed on a 33-bus distribution system under various scenarios.
Article
Energy & Fuels
Majid Armioun, Mehrdad Setayesh Nazar, Miadreza Shafie-khah, Pierluigi Siano
Summary: This paper presents a two-stage two-level optimization method for optimal day-ahead and real-time scheduling of multicarrier energy distribution systems and microgrids. The model integrates demand response procedures of microgrids in energy transactions with the energy system, considering electrical switches and heating and cooling control valves. The proposed method reduces costs for different types of microgrids and increases aggregated benefits of the energy system in both day-ahead and real-time markets.
Article
Engineering, Electrical & Electronic
Vasileios A. Evangelopoulos, Theofanis P. Kontopoulos, Pavlos S. Georgilakis
Summary: This study introduces a novel model for managing flexibility services in the electrical power industry, aiming to maximize profits for both aggregators and distribution companies.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Vineeth Vijayan, Abheejeet Mohapatra, S. N. Singh
Summary: This paper proposes a comprehensive formulation that considers using DR to reduce peak load, VVO to minimize loss, and utilizing various devices to mitigate unbalance issues in active distribution systems.
Article
Energy & Fuels
Ning Xin, Laijun Chen, Linrui Ma, Yang Si
Summary: This paper studies the impact of network reconfiguration and distributed energy resources collaboration on the resilient restoration of active distribution networks (ADNs). A multiperiod model considering both reconfiguration and multiple DERs is established, and a rolling horizon optimization framework is used to solve the model. Simulation results verify the effectiveness of the framework.
Article
Energy & Fuels
J. Wang, W. Q. Wang, H. Y. Wang
Summary: This article proposes a bi-stage optimization model for active distribution networks with soft open point, considering violation risk and enhancing the economics and security. Simulation results show the superiority of the proposed model.
Article
Engineering, Electrical & Electronic
Seyed Amir Alavi, Ardavan Rahimian, Kamyar Mehran, Vahid Vahidinasab
Summary: This study proposes a multilayer event-based consensus control framework for achieving average consensus among distributed controllers in DC microgrids, aiming to minimize convergence time through optimization algorithms and parameter adjustments.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2022)
Article
Engineering, Electrical & Electronic
Mahdi Habibi, Vahid Vahidinasab, Mohammad Sadegh Sepasian
Summary: This paper proposes a hybrid centrally-supported decentralized stochastic framework for addressing the scheduling issues of distributed energy resources, aiming to minimize system complexity and data-sharing requirements, facilitating participants' access to the market platform.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2022)
Article
Biotechnology & Applied Microbiology
Farkhondeh Jabari, Hamidreza Arasteh, Alireza Sheikhi-Fini, Hadi Ghaebi, Mohammad-Bagher Bannae-Sharifian, Behnam Mohammadi-Ivatloo, Mousa Mohammadpourfard
Summary: This study proposes a combined cycle for water and power production to address the lack of sufficient pure water resources and energy crises in remote tropical communities during summer. Adopting a novel co-generation system can significantly reduce peak electricity demand and pollutant emissions, improving energy efficiency.
BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR
(2022)
Article
Engineering, Electrical & Electronic
Amirhossein Ahmadi, Mojtaba Nabipour, Behnam Mohammadi-Ivatloo, Vahid Vahidinasab
Summary: In this study, DLR forecasting models based on historical meteorological data were developed using ensemble learning algorithms. Simulation results showed that the proposed method can successfully predict DLR even in the presence of severe cyberattacks. The proposed method can significantly increase the capacity of transmission lines in practical applications without the need for additional measurement devices and communication infrastructures.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Engineering, Electrical & Electronic
Janusz W. Bialek, Vahid Vahidinasab
Summary: This paper proposes a defense mechanism called tree partitioning to replace controlled islanding for preventing cascading failures. The method keeps clusters connected while preventing the spread of line failures between clusters. The paper also offers a simple graph-theoretic justification and a two-stage methodology for implementing tree partitioning.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Editorial Material
Engineering, Electrical & Electronic
Rodrigo Palma-Behnke, Qiuwei Wu, Vahid Vahidinasab, Johanna Myrzik, Matti Lehtonen
IET GENERATION TRANSMISSION & DISTRIBUTION
(2022)
Article
Engineering, Electrical & Electronic
Seyed-Alireza Ahmadi, Vahid Vahidinasab, Mohammad Sadegh Ghazizadeh, Damian Giaouris
Summary: The study introduces a stochastic framework for self-healing distribution networks, using graph theory to implement a fast and reliable reconfiguration procedure, addressing the security challenges that distributed generation units may pose after network faults, and resolving vulnerabilities to uncertainties in load demand through chance-constrained programming. The proposed framework demonstrates superior performance and applicability for real distribution networks in testing on a standard system.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2022)
Article
Engineering, Electrical & Electronic
Mahdi Habibi, Vahid Vahidinasab, Mohammad Sadegh Sepasian
Summary: This study evaluates an integrated model for scheduling electricity and heat, considering TSO-DSO cooperation to increase operational efficiency and facilitate energy trading between systems. The proposed model successfully reduces operational costs and energy prices compared to isolated scheduling of energy systems, while also enhancing energy transactions between market parties.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Amid Shahbazi, Jamshid Aghaei, Sasan Pirouzi, Taher Niknam, Vahid Vahidinasab, Miadreza Shafie-khah, Joao P. S. Catalao
Summary: This paper proposes a two-objective linearized resilient architecture (LRA) model for distribution networks to achieve a strictly resilient network during natural disasters. The model minimizes planning and operation costs, load shedding, and repair costs to obtain an equivalent single-objective LRA model through e-constraint-based Pareto optimization. Numerical simulation confirms the capability of the proposed method in obtaining a resilient distribution network during natural disasters.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Energy & Fuels
Afshin Pirouzi, Jamshid Aghaei, Sasan Pirouzi, Vahid Vahidinasab, Ahmad Rezaee Jordehi
Summary: This paper presents a multiobjective framework for scheduling the batteries of electric vehicles in parking lots, aiming to improve the flexibility of smart distribution networks. Based on numerical results, it is observed that the proposed scheme can enhance the flexibility of the distribution network and reduce energy losses.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Electrical & Electronic
Chenour Ardalan, Vahid Vahidinasab, Amir Safdarian, Miadreza Shafie-khah, Joao P. S. Catalao
Summary: The development of emerging smart grid technologies has increased the use of renewable energy and electric energy storage in residential areas. However, introducing DC loads and generations into buildings designed for AC electricity results in energy conversion losses. Therefore, rethinking the electrification structure of buildings is necessary.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
S. M. Hashemi, H. Arasteh, M. Shafiekhani, M. Kia, J. M. Guerrero
Summary: This paper addresses the optimal operation of microgrids with both electrical and thermal loads. It proposes metrics to evaluate the flexibility of the system for both electrical and thermal units. A multiobjective framework is proposed considering flexibility and financial concerns. The Information Gap Decision Theory method is used to handle uncertainties. The Normalized Normal Constraint approach is employed to find evenly distributed Pareto solutions.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Razieh Darshi, Saeed Shamaghdari, Aliakbar Jalali, Hamidreza Arasteh
Summary: This paper presents a novel fully decentralized and intelligent energy management system (EMS) for a smart microgrid based on reinforcement learning (RL) strategy. The proposed EMS aims to maximize the benefit of all microgrid entities including customers and distributed energy resources (DERs). To overcome the unpredictable features of renewable energy sources and variation in consumers' demands, a new framework of the model-free Q-learning algorithm is utilized to obtain the optimal policy of intelligent agents in the microgrid. Simulation results demonstrate the superiority of the algorithm in comparison to the Monte Carlo method.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2023)
Article
Engineering, Electrical & Electronic
Razieh Darshi, Saeed Shamaghdari, Aliakbar Jalali, Hamidreza Arasteh
Summary: This paper proposes a fully decentralized multiagent Energy Management System (EMS) for microgrids using reinforcement learning and stochastic game to solve the complex task of designing a control system for microgrid energy management. The proposed method demonstrates its effectiveness in optimizing the benefits of all the agents by reaching the optimal equilibrium point through interactions between decision makers and the environment.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2023)
Article
Computer Science, Information Systems
Ali Soleimani, Vahid Vahidinasab, Jamshid Aghaei
Summary: This paper presents an Energy Management System (EMS) framework to extend the life of Battery Energy Systems (BES) connected to Renewable Energy Sources (RES) in an Active Distribution Network (ADN) by optimizing the techno-economic aspects. The proposed approach includes a linearized algorithm, a mixed-integer linear programming model, a two-stage stochastic programming method, and a linearized battery lifetime assessment.
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
