Article
Thermodynamics
Adam R. Brandt, Holger Teichgraeber, Charles A. Kang, Charles J. Barnhart, Michael A. Carbajales-Dale, Sgouris Sgouridis
Summary: Future energy systems will rely more on variable renewable energy, requiring flexible energy strategies to increase their utilization. Comparing FESs has been difficult due to large differences in technology details.
Article
Engineering, Electrical & Electronic
Yuzhou Zhou, Qiaozhu Zhai, Lei Wu, Moammad Shahidehpour
Summary: This paper presents a data-driven variable reduction approach to accelerate the computation of large-scale transmission-constrained unit commitment problems. The approach includes offline and online calculations, leveraging a database to efficiently solve new instances while reducing computation burden. Feasibility proposition is used to check the feasibility of new instances with fixed binary variables, ensuring the existence of feasible solutions even when the system structure changes.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2023)
Article
Energy & Fuels
Lucas Maulen, Margarita Castro, Alvaro Lorca, Matias Negrete-Pincetic
Summary: This paper presents a novel long-term model for the joint expansion planning of power and hydrogen systems with short-term operational considerations. The proposed methodology utilizes adjustable parameters and an iterative training methodology to improve investment decisions and achieve a correct balance between variable and flexible technologies. Computational experiments demonstrate the effectiveness of the proposed methodology in generating investment plans with lower total cost and higher reliability compared to conventional methodologies.
Article
Energy & Fuels
Houshang Abiari, Tahere Daemi, Seyyed Amin Saeid
Summary: By increasing the penetration of low-inertia renewable energy systems in the power systems, the grid frequency stability becomes even more challenging. This paper proposes a frequency constrained unit commitment model considering the uncertain primary frequency response of power electronic converters-based energy storage systems. The proposed method prevents frequency instability by spending 6.38% more cost than the model with perfect operation of converters.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Xuewei Wu, Jiakun Fang, Zhe Chen
Summary: This paper proposes a distributionally robust unit commitment method for an integrated electricity and heat system. The method operates the district heating systems under variable flow and variable temperature (VFVT) with bi-directional mass flow, which increases the flexibility capacity for renewable energy accommodation. The distributionally robust optimization scheme also enhances the operation flexibility of the system under high penetration of renewable energy.
Article
Computer Science, Interdisciplinary Applications
Ge Guo, Luckny Zephyr, Jose Morillo, Zongjie Wang, C. Lindsay Anderson
Summary: This paper investigates the unit commitment problem of power systems under high wind energy penetration, using a chance constrained model to ensure energy supply and demand balance. Two approximation approaches, quantile- and p-efficiency-based, are proposed and shown to provide feasible solutions and tight lower bounds of the true operation cost within a shorter time frame compared to scenario-based methods.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Yuqian Zhang, Qinglai Guo, Yanzhen Zhou, Hongbin Sun
Summary: Modern power systems face challenges of frequency instability due to the replacement of conventional generators with renewable energy sources. This paper proposes an analytical approach to estimate the largest disturbance a system can withstand, and incorporates it into a novel frequency constrained unit commitment model. The model considers diverse governor response characteristics and accurately estimates essential inertia and reserve level. It is formulated as a mixed-integer nonlinear programming problem, and the convergence of the decomposition-based solution is proved. Case studies show that the proposed model guarantees frequency security while preserving economic factors in high renewable energy penetration.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Anping Zhou, Ming Yang, Xiaodong Zheng, Shengfei Yin
Summary: This paper addresses the challenges posed by the deepening penetration of renewable energy sources (RESs) into power grids and proposes a distributionally robust chance-constrained approach. The proposed method takes into consideration the stochasticity and variability of RESs, and incorporates a fuzzy set to describe the uncertainty. Numerical experiments demonstrate the effectiveness and efficiency of the proposed method.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
R. Mena, M. Godoy, C. Catalan, P. Viveros, E. Zio
Summary: In this paper, a compromise programming (CP) framework is introduced for solving a multi-objective two-stage stochastic unit commitment problem in the presence of high penetration of wind power. The proposed framework aims to find best-compromise Pareto efficient on/off schedules that account for wind and power demand uncertainties, considering operating cost, CO2 emissions, and wind power curtailment objectives according to decision maker preferences. A practical procedure is introduced to compute the ideal and Nadir points, and a linearized l(1) norm-based compromise program is proposed to design best-compromise on/off schedules by minimizing and maximizing their weighted distances to the ideal and Nadir points, respectively. The proposed CP framework is applied to a case study related to the New England IEEE-39 bus test system, and results show substantial improvements in CO2 emissions reduction and wind power curtailment performance while sacrificing operating cost performance compared to the traditional minimization approach.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Review
Green & Sustainable Science & Technology
Shalini Nakkasunchi, Neil J. Hewitt, Claudia Zoppi, Caterina Brandoni
Summary: Wastewater treatment plants significantly contribute to the greenhouse gas emissions of the water industry and responsible for 3% of global energy demand. A review was conducted on modelling tools for water-energy nexus analysis in wastewater facilities to aid researchers and professionals in identifying suitable tools for decarbonisation strategies. The study grouped interventions into energy demand reduction, energy production from wastewater, and integration of renewable sources, emphasizing the need for comprehensive energy-water optimization tools.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Electrical & Electronic
Wei Wei, Zhaojian Wang, Feng Liu, Miadreza Shafie-khah, Joao P. S. Catalao
Summary: The study proposes a fractional programming model to determine the optimal power and energy capacities of residential energy storage units, with the objective of minimal payback time. A decomposition algorithm based on convex optimization is developed to solve the problem, providing cost-efficiency with a higher rate of return.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Energy & Fuels
Anya Heider, Ricardo Reibsch, Philipp Blechinger, Avia Linke, Gabriela Hug
Summary: To achieve climate goals, future energy systems must heavily rely on variable renewable energy sources such as wind and photovoltaic. Analyzing flexibility options and enhancing energy system design can be done through energy system modelling tools. A survey of developers of open energy modelling tools was conducted to assess the representation of flexibility options in current models. The results show a wide range of tools covering most aspects of flexibility, but improvements are needed in storage and network type flexibility for a holistic assessment.
ENERGY STRATEGY REVIEWS
(2021)
Article
Thermodynamics
Pernille Seljom, Lisa Kvalbein, Lars Hellemo, Michal Kaut, Miguel Munoz Ortiz
Summary: This paper presents a method using stochastic programming to model variable renewable electricity generation in long-term energy system models, demonstrated on a Norwegian TIMES model. The research shows that the number of stable scenarios required varies between different scenario generation methods, and the generated scenarios have different errors compared to the actual dataset.
Article
Energy & Fuels
Yueyang Ji, Hua Wei
Summary: This paper proposes an approximate dynamic programming algorithm for the unit-based short-term small hydropower scheduling framework, which accurately captures the physical and operational characteristics of individual units and avoids the error introduced by linearization. By formulating an approximate value function and policy value iteration process, an approximate optimal strategy is provided, considering both algorithm accuracy and computational efficiency.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Isaac Appiah-Otoo, Xudong Chen, Matthew Biniyam Kursah
Summary: This study examines the effects of renewable energy investment on carbon emissions, finding that solar and wind energy investment can reduce emissions after reaching a certain threshold, while small hydropower and biofuel investment increases emissions beyond a certain threshold. Additionally, solar, wind, and geothermal energy investment indirectly reduce emissions by promoting green economic growth.
Article
Energy & Fuels
Ciara O'Dwyer, Jody Dillon, Terence O'Donnell
Summary: Complex models are necessary for optimizing investments and operations in future low-carbon systems with high shares of variable renewable generation. An advanced energy system model of the Irish power system demonstrates the importance of model detail and highlights the increasing investments in hydrogen technologies as demand grows. Hydrogen fuelled compressed air energy storage is identified as a strong investment candidate in all scenarios.
Article
Computer Science, Software Engineering
Juha Kiviluoma, Fabiano Pallonetto, Manuel Marin, Pekka T. Savolainen, Antti Soininen, Per Vennstrom, Erkka Rinne, Jiangyi Huang, Iasonas Kouveliotis-Lysikatos, Maren Ihlemann, Erik Delarue, Ciara O'Dwyer, Terence O'Donnel, Mikael Amelin, Lennart Soder, Joseph Dillon
Summary: The Spine Toolbox is an open-source software that enables the definition, management, simulation, and optimization of energy system models. It supports the creation and execution of multivector energy integration models and provides a user-friendly interface for linking models with different scopes or spatiotemporal resolutions. The software includes features for importing and managing data, defining models and scenarios, and coordinating projects, all developed using the latest Python environment.
Article
Engineering, Electrical & Electronic
Sergio Motta, Jari Ihonen, Juha Kiviluoma
Summary: This paper proposes a new method for analyzing the financial damages caused by power outages to individual customers, and tests the methodology with a case study on a rural dairy farm. The results show that the microgrid approach is the most cost-effective alternative to mitigate the customer damages incurred by grid faults.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Juha Kiviluoma, Niina Helisto, Nelli Putkonen, Charlie Smith, Matti Koivisto, Magnus Korpas, Damian Flynn, Lennart Soder, Emanuele Taibi, Andrej Guminski
IEEE POWER & ENERGY MAGAZINE
(2022)
Article
Engineering, Multidisciplinary
M. Saeed Misaghian, Giovanni Tardioli, Adalberto Guerra Cabrera, Ilaria Salerno, Damian Flynn, Ruth Kerrigan
Summary: Potential solutions for unlocking operational flexibility of data centres are explored by modelling two types of data centres and using machine learning models to predict their energy consumption and server temperatures. Three different machine learning algorithms are considered, achieving high accuracy for predicting data centre performance. These models are utilised within a power system unit scheduling framework to determine the achievable flexibility from a system-wide portfolio of data centres. On average, a 6.5% load reduction is achievable for a winter day during high CO2 intensity periods.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Yoh Yasuda, Enrico Maria Carlini, Ana Estanqueiro, Peter Borre Eriksen, Damian Flynn, Lars Finn Herre, Bri-Mathias Hodge, Hannele Holttinen, Matti Juhani Koivisto, Emilio Gomez-Lozaro, Sergio Martin Martinez, Nickie Menemenlis, German Morales-Espana, Christoph Pellinger, Andres Ramos, Charlie Smith, Til Kristian Vrana
Summary: Various aspects of power system flexibility are evaluated in the multi-country study framework of IEA Wind Task 25. The article discusses grid components and actions adopted in different areas to enhance flexibility as well as how various system operators plan to manage variable generation. The development of a flexibility chart provides a visual assessment of flexibility sources, making it accessible for non-technical experts and facilitating discussions on energy policy.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Review
Energy & Fuels
Behzad Keyvani, Eoin Whelan, Eadaoin Doddy, Damian Flynn
Summary: Dynamic line rating (DLR) systems are cost-effective and socially accepted assets for relieving network congestion and uprating transmission systems. This article provides a comprehensive review of the components and requirements of DLR systems, including the use of indirect weather-based approaches and statistical evaluation methods. The proposed methodology can help in early-stage planning for wide-area DLR systems. The study cases of the island of Ireland and the 110 kV network of the Republic of Ireland are presented.
WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT
(2023)
Article
Chemistry, Multidisciplinary
Xianxian Zhao, Xavier Kestelyn, Quentin Cossart, Frederic Colas, Damian Flynn
Summary: Due to the development of renewable energy sources, high-voltage transmission, and PE-interfaced loads, there is a growing number of power electronics converters being connected to energy systems. Modelling approximations commonly used for transient simulations of transmission systems may not be optimal for future grids, as power electronics-based devices and synchronous machines have different dynamic behaviours. To overcome the resource-demanding and time-consuming nature of full electromagnetic transient simulations, this paper proposes a combination of an event-based state residualisation approximation and the Kron reduction technique, which allows accurate transient simulations with a reduced number of state variables and simplified power systems equations for accelerated simulations.
APPLIED SCIENCES-BASEL
(2023)
Article
Energy & Fuels
Jussi Ikaheimo, Tomi J. Lindroos, Juha Kiviluoma
Summary: Electrofuels, including hydrogen, methane, and ammonia, can play a significant role in achieving net-zero greenhouse gas energy systems. This study analyzed multiple archetypal energy systems and found that hydrogen was a major energy vector, while renewable methane had limited importance. Electrofuel storages were essential in all systems, with the highest capacity in the northern Hemiboreal region. The absence of cavern storage increased the significance of ammonia and led to a 5.5% increase in systemic cost. The findings provide insights into storage and generation technologies for future carbon-neutral systems in different regions.
Review
Energy & Fuels
Henrik Nordstrom, Lennart Soder, Damian Flynn, Julia Matevosyan, Juha Kiviluoma, Hannele Holttinen, Til Kristian Vrana, Adriaan van der Welle, German Morales-Espana, Danny Pudjianto, Goran Strbac, Jan Dobschinski, Ana Estanqueiro, Hugo Algarvio, Sergio Martin Martinez, Emilio Gomez Lazaro, Bri-Mathias Hodge
Summary: The use of wind and solar power has been growing in recent years and is expected to continue increasing in the future. However, maintaining a continuous balance in power systems with larger amounts of renewable energy poses challenges. This article aims to describe and compare the challenges and future possibilities in six different systems to achieve continuous balance in the presence of variable renewable power production. Understanding how these systems plan to handle continuous balancing is crucial for developing a carbon dioxide-free electricity system in the future. The systems included in the overview are the Nordic synchronous area, the island of Ireland, the Iberian Peninsula, Texas (ERCOT), the central European system, and Great Britain.
Article
Engineering, Multidisciplinary
Esa Pursiheimo, Dennis Sundell, Juha Kiviluoma, Helmi Hankimaa
Summary: This paper describes an open-source modelling framework called Predicer for multi-market day-ahead market operation. The Predicer model uses scenario-based stochastic optimisation to generate decision variables and bid matrixes for energy and reserve markets. The abstract model structure allows users to construct arbitrary energy systems and define relationships between assets, commodities, and markets. The Predicer model can include various properties such as unit ramp rates, online units, dynamic energy storages, market realization, and bidding requirements. The model scenarios consist of user-defined forecasts for market prices, renewable energy supply, energy demand, and other system-related time series. Predicer is implemented in the Julia programming language and utilizes the JuMP optimization package.
OPTIMIZATION AND ENGINEERING
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Honglin Li, Juha Kiviluoma, Jie Zhang
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Niina Helisto, Silke Johanndeiter, Juha Kiviluoma
Summary: With variable renewables as the dominant power source in a fully renewable European power system, wholesale electricity prices are expected to decrease due to the shift in the marginal cost curve. However, the increasing elasticity of demand can mitigate this effect. Through modeling different scenarios, we find that flexible demand-side actors can help stabilize wholesale electricity prices in renewable power systems, especially with high shares of variable renewables and low marginal costs.
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM
(2023)
Correction
Clinical Neurology
P. McMeekin, D. Flynn, M. James
EUROPEAN STROKE JOURNAL
(2023)