Article
Energy & Fuels
Ruud Egging-Bratseth, Hanne Kauko, Brage Rugstad Knudsen, Sara Angell Bakke, Amina Ettayebi, Ina Renate Haufe
Summary: Low-temperature district heating is a key technology for efficient urban heat supply, enabling the integration of waste heat and renewable heat sources. By optimizing operational flexibility through demand side management and seasonal storage, significant reductions in carbon emissions and operational costs can be achieved.
Review
Green & Sustainable Science & Technology
Dharmaraj Kanakadhurga, Natarajan Prabaharan
Summary: Demand Side Management (DSM) plays a vital role in a deregulated power system by handling uncertain renewable power generation and load through Demand Response (DR) techniques and effective utilization of storage. This review article focuses on microgrid layers, different DSM techniques, mathematical models, optimization techniques, and the application of storage devices. The uniqueness of this article lies in its critical analysis of data science, advanced metering infrastructure, and blockchain technologies. It examines key issues and approaches to effectively implement DSM in microgrids and reduce electricity costs. This article is significant for researchers seeking to identify research gaps and factors affecting DSM implementation.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
M. A. van den Berg, I Lampropoulos, T. A. AlSkaif
Summary: This study investigates the charging demand and flexibility potential of future EV fleets in an office area, showing that future EV charging demand may lead to transformer overloading, but can be mitigated by delaying some of the charging demand.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Engineering, Electrical & Electronic
Mahrou Pouladkhay, Maziar Mirhosseini Moghaddam, Alireza Sahab
Summary: This paper presents a model from the ISO point of view for utilizing demand-side resources as flexible resources to address the need for reserve provision in power systems. The model employs a two-stage stochastic programming approach in the form of mixed integer linear programming (MILP) to determine energy and reserve in the unit commitment problem. The results demonstrate that simultaneously scheduling energy sources and demand-side aggregators for energy supply and reserve can reduce wind energy uncertainty and improve system operational conditions.
ELECTRICAL ENGINEERING
(2023)
Article
Energy & Fuels
Lei Chen, Nan Zhao, Zihao Cheng, Wen Gu
Summary: This paper explores in detail the cyber-physical power systems (CPPS) and its model and operation mechanism. Through simulation studies, it is found that introducing distributed generators can effectively improve the reliability of CPPS, while the destructive power of cyber attacks is greater.
Article
Energy & Fuels
Hamid Karimi, Shahram Jadid
Summary: This paper proposes a day-ahead stochastic operation planning method for hybrid renewable/non-renewable multi-microgrid systems. A multi-objective tri-stage decision-making framework is utilized to optimize the operating cost, generation flexibility, and demand-side flexibility simultaneously. The proposed model considers uncertainty, cooperation, and flexibility to enhance the efficiency and capability of the multi-microgrid system.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Engineering, Electrical & Electronic
Selina Kerscher, Pablo Arboleya
Summary: Future energy systems rely on the expansion and management of low-carbon technologies to achieve climate goals. Studies have shown issues with voltage violation and congestion from the integration of high-penetration intermittent renewable energy sources and electric vehicles in distribution networks. Aggregators play a key role in energy market liberalisation and the integration of distributed energy resources in the latest European framework.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Thermodynamics
Seyed Farhad Zandrazavi, Cindy Paola Guzman, Alejandra Tabares Pozos, Jairo Quiros-Tortos, John Fredy Franco
Summary: A stochastic multi objective optimization model is proposed for grid-connected unbalanced microgrids to minimize total operational cost and voltage deviation. The epsilon-constraint method and fuzzy satisfying approach are used to solve the multi-objective optimization problem, considering uncertainties through the roulette wheel mechanism for scenario generation.
Article
Energy & Fuels
Remi Lauvergne, Yannick Perez, Mathilde Francon, Alberto Tejeda De La Cruz
Summary: This paper describes a methodology to study the technical and economic impacts of mass EV charging on power systems. The results show that smart charging can significantly reduce operational electricity system costs and carbon emissions. The study also compares different smart charging modes and identifies the parameters with the largest impact on EV flexibility.
Article
Energy & Fuels
Iliana Ilieva, Bernt Bremdal
Summary: This paper investigates the possibility of addressing grid challenges by utilizing local flexibility resources at the INSPIRIA charging station in Norway. Potential grid challenges are estimated through Monte Carlo simulations, and cost and performance of various local flexibility sources are presented. Analysis of battery choice, charging process, and battery economy are provided to discuss the optimal mix of flexibility resources for efficiently mitigating grid challenges.
Article
Energy & Fuels
Marcelo Salgado-Bravo, Matias Negrete-Pincetic, Aristides Kiprakis
Summary: A flexibility estimation model is proposed to evaluate the immediate aggregate flexibility response in a day-ahead scheme. The model schedules appliances and calculates aggregated flexibility based on energy and flexibility prices. It uses an alternative flexibility scenario approach to evaluate immediate flexibility available for the next 15 minutes or 4 hours. New flexibility constraints are introduced for specific appliances, and the model is tested under different energy price schemes to observe the influence on flexibility offered.
Review
Engineering, Electrical & Electronic
Akintonde O. Abbas, Badrul H. Chowdhury
Summary: This article thoroughly reviews different modeling and control methods for customer-side resources, evaluating their application in transmission and distribution grid services. Considered from a competitive market perspective and the requirements of various resources, it presents research needs for utilizing groups of heterogeneous resources for cascaded services.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Automation & Control Systems
Georgios Tsaousoglou, Ippokratis Sartzetakis, Prodromos Makris, Nikolaos Efthymiopoulos, Emmanouel Varvarigos, Nikolaos G. Paterakis
Summary: In this article, the authors propose a generic method for constructing aggregated balancing energy offers that best represent the portfolio's actual flexibility costs, while accounting for uncertainty in future timeslots. They use offline simulations to train and compare different machine learning algorithms, so that fast decisions can be made in the real-time balancing market.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Energy & Fuels
Mojtaba Rahmani, Seyed Hossein Hosseinian, Mehrdad Abedi
Summary: Security Constrained Unit Commitment (SCUC) is a method used by power system operators to determine the optimal participation of generating units to meet load demand while maintaining security. The active contribution of customers through Demand Response Programs (DRPs) and coordinated Plug-In Electric Vehicle (PEV) fleets has created new opportunities for consumers in the market. Utilizing DRPs and PEVs effectively can lead to cost savings and improved system security.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Energy & Fuels
Wilhelm Cramer, Klemens Schumann, Michael Andres, Chris Vertgewall, Antonello Monti, Sebastian Schreck, Michael Metzger, Stefan Jessenberger, Joachim Klaus, Christoph Brunner, Florian Heringer, Axel Alvarado, Andreas Armstorfer, Nauman Beg
Summary: The increasing share of distributed energy resources offers new opportunities for innovative business models and coordination schemes within sustainable energy systems, with local energy markets having the potential to increase end consumer participation. Simulation results demonstrate significant impacts of local energy markets on energy systems, including economic benefits, enhanced energy balancing, and reduction of grid congestion.
