Review
Green & Sustainable Science & Technology
Chun Sing Lai, Giorgio Locatelli, Andrew Pimm, Xiaomei Wu, Loi Lei Lai
Summary: Driven by the demand for intermittent power generation, Energy Storage (ES) will be widely adopted in future electricity grids to provide flexibility and resilience. However, existing models are inadequate to address grids with a high percentage of renewables and ES, and there is a challenge in integrating short-term temporal changes in LEPSMs due to model complexity and computational cost. Therefore, there is a need for a novel long-term electrical power system modeling framework that can effectively incorporate ES and low-carbon power generation.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Martin Larsen, Enzo Sauma
Summary: This study evaluates the impact of energy storage systems on the long-term prospects of power systems using a new planning model, finding that including an adaptive approach and considering ramp and reserve constraints significantly alter the generation and transmission expansion mix and emission levels. Additionally, it reveals a scenario where energy storage systems can help reduce total costs but increase CO2 emissions.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Electrical & Electronic
Nicholas D. Laws, Grani A. Hanasusanto
Summary: This study presents a method for linearizing bilinear terms in bilevel optimization problems, specifically when the terms involve both primal and dual variables. Such terms are frequently found in energy market optimization models. Previous works have addressed linearization for specific problems, but this study demonstrates the general case and the conditions for linearization in bilevel problems with integer or continuous variables. An open source Julia module is provided to facilitate intuitive programming for researchers working on bilevel programs.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Asmae Berrada
Summary: This study models and assesses the financial performance of a novel energy storage system called gravity energy storage (GES), and compares it with other large-scale energy storage systems. The results show that GES has good performance metrics and is cost-effective compared to its competitors in terms of energy cost.
Article
Green & Sustainable Science & Technology
Siyuan Chen, Zheng Li, Weiqi Li
Summary: Increasing the share of renewable energy in the global energy system requires more flexibility, with customer-sited energy storage systems being a promising measure. A case study in Sichuan Province, China, showed that customer-sited energy storage can partially replace coal power plants, reduce CO2 emissions, but currently cannot generate profits. Further reduction in storage costs, improved technology, and policy support are needed to enhance the development of customer-sited energy storage systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Energy & Fuels
Oktoviano Gandhi, Dhivya Sampath Kumar, Carlos D. Rodriguez-Gallegos, Wenjie Zhang, Thomas Reindl, Dipti Srinivasan
Summary: As renewable energy generation increases, so does the installation of energy storage facilities. However, the impact of invisible behind-the-metre energy storage systems on the transmission system remains unknown, potentially increasing system operation costs.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Multidisciplinary
Haiyang Jiang, Buyang Qi, Ershun Du, Ning Zhang, Xiu Yang, Fang Yang, Zhaoyuan Wu
Summary: This article proposes a coordinated planning model for investigating the optimal configuration of power system generation and transmission as well as hydrogen supply chain. Case studies demonstrate the effectiveness of the proposed model in reducing renewable energy curtailment and lowering energy supply cost.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Farnam Dehghani, Mohammad Agha Shafiyi
Summary: Renewable energy sources are essential for future electricity networks, but their integration with the grid poses challenges. Complementarity studies and economic approaches can optimize the use of resources, reducing the need for storage and load tracking.
IET RENEWABLE POWER GENERATION
(2023)
Article
Energy & Fuels
Anisa Emrani, Asmae Berrada, Mohamed Bakhouya
Summary: Energy storage is considered essential for high integration of renewable energy technologies, and this paper investigates an innovative concept that combines gravity energy storage with a hoisting device to enhance system performance. A sizing method was used to determine component sizes, and a dynamic model was developed to identify critical parameters of the system. Experimental validation confirmed the effectiveness of the model in simulating system behavior.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Economics
John Bistline, Geoffrey Blanford, Trieu Mai, James Merrick
Summary: The emergence of variable renewable energy and battery storage technologies has transformed the electric power sector, requiring more sophisticated methods to capture their unique characteristics. Model simplifications can impact policy analysis related to power sector decarbonization and high renewables deployment, and improving model representations of variable renewables can provide enhanced insights for policymakers and stakeholders.
Article
Energy & Fuels
Mohammad Sadegh Esmaeili, Mehdi Mehrpooya
Summary: This study models a thyristor-based power conditioning system for a superconducting magnetic energy storage (SMES) system and investigates helium production for the SMES. The research found that the output current increases with time at certain firing angles, and determined the ratio of maximum liquid helium production to inlet gaseous helium. The analysis also showed a 35.7% exergy efficiency and lower power consumption compared to other helium production methods.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Daniel Vazquez Pombo, Jon Martinez-Rico, Hannah M. Marczinkowski
Summary: In the context of energy transition, islands are considered challenging regions due to their isolation and energy dependence, but their excellent renewable resources and rapid growth make them interesting test cases. This paper focuses on island developing nations and analyzes their common challenges and energy policies through a comprehensive generation and storage expansion planning for Sao Vicente Island, Cape Verde.
Article
Green & Sustainable Science & Technology
Daniel Vazquez Pombo, Jon Martinez-Rico, Sergiu Spataru, Henrik W. Bindner, Poul E. Sorensen
Summary: This paper proposes a mixed-integer linear programming method for enabling flexibility provision in energy system planning. The study focuses on the island of Santiago, Cape Verde and examines different scenarios. The results demonstrate that exploiting flexibility can lead to savings of up to 85% and enable decarbonization of other sectors through electrification.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Energy & Fuels
Wesley Cole, Paul Denholm, Vincent Carag, Will Frazier
Summary: In this study, the peaking potential for storage with different durations was investigated. The results showed that 168 h of storage could serve about 27% of peak demand in the United States, with more than half of this amount being served by storage with durations of 12 h or less. The potential for storage increases significantly with the deployment of wind and solar, with approximately one-half of the peak demand being served by up to 168 h of storage, but the majority of this storage could still have durations of up to 12 h. The mix of wind and solar, as well as storage efficiency, also play important roles in determining the peaking potential and the mix of durations.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Electrical & Electronic
Yinping Yang, Chao Qin, Yuan Zeng, Chengshan Wang
Summary: The study proposes a cooperative model that combines wind, solar, and pumped-storage technologies, which effectively utilizes the complementary characteristics of wind and solar power. The model includes an optimized bidding strategy and a revenue distribution method, ensuring economic benefits for participating members.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2022)
Article
Engineering, Electrical & Electronic
Hyeong Kim, Ramteen Sioshansi, Eamonn Lannoye, Erik Ela
Summary: Energy storage is important for ensuring resource adequacy in power systems. However, estimating its contribution is complicated by its limited energy capacity and sensitivity to load patterns.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Computer Science, Information Systems
Domagoj Vlah, Karlo Sepetanc, Hrvoje Pandzic
Summary: In this article, a numerical scheme based on a deep convolutional neural network is proposed to solve bilevel optimization problems in power system problems. The lower level problem is bypassed using an approximation function, improving the accuracy of the upper level solution.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
I. Pavic, H. Pandzic, T. Capuder
Summary: The shift from fossil fuels to renewable energy sources in the power system has led to the search for new reserve providers to ensure flexibility. Smart charging for electric vehicles has emerged as a promising solution, but there are uncertainties regarding reserve activation and EV availability. This study introduces a new method for modeling reserve activation uncertainty in European markets and demonstrates the improvement of proposed stochastic and robust models compared to deterministic approaches.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Juan Arteaga, Mostafa Farrokhabadi, Nima Amjady, Hamidreza Zareipour
Summary: In this paper, an optimal sizing model for a solar plus energy storage (PV-ESS) system for behind the meter applications is proposed. A dynamic optimization algorithm is presented to maximize the net worth of a project, considering decreasing technology costs in the future. The proposed model efficiently solves the optimization problem using parallel computation, and simulation results demonstrate its ability to minimize the total project cost.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Engineering, Electrical & Electronic
Vivek Prakash, Hrvoje Pandzic
Summary: This paper provides a comprehensive study on the challenges, opportunities, and potentials of active neighborhood resources in actively participating in fast frequency control (FFC) services. It discusses technical details, regulatory requirements, and control strategies from several countries. The study also demonstrates a coordinated synthetic inertia control (SIC) model that showcases the capability of distributed energy resources (DERs) and smart flexible loads in providing fast frequency response (FFR). The observations and discussions in this study are valuable for stakeholders in the energy community.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Thermodynamics
Victor A. D. Faria, Anderson Rodrigo de Queiroz, Joseph F. DeCarolis
Summary: This research proposes an analytical decision-making framework to define renewable offshore portfolios using artificial neural networks and risk-averse stochastic programming. Synthetic energy scenarios are generated using a generative adversarial neural network, considering distributed resources over large geographic regions. A stochastic model is then used to determine the optimal location and number of turbines for each technology. The framework is tested using data from the U.S. East coast, demonstrating the ability to create statistically consistent energy scenarios and the significance of resource diversification in improving system security.
Article
Energy & Fuels
Lucas Barros Scianni Morais, Giancarlo Aquila, Victor Augusto Duraes de Faria, Luana Medeiros Marangon Lima, Jose Wanderley Marangon Lima, Anderson Rodrigo de Queiroz
Summary: This paper investigates the application of shallow and deep neural networks in modeling short-term load forecasting problem. Different model architectures including multi-layer perceptron, long-short term memory, and gated recurrent unit are tested, and global climate model information is used as input for more accurate predictions. A case study for the Brazilian interconnected power system is presented and compared with forecasts from the Brazilian Independent System Operator model. The results show that bidirectional long-short term memory and gated recurrent unit outperform other models, achieving Nash-Sutcliffe values up to 0.98 and mean absolute percentile error values of 1.18%, superior to the results obtained by the Independent System Operator models (0.94 and 2.01% respectively). The better performance of neural network models is confirmed under the Diebold-Mariano pairwise comparison test.
Review
Energy & Fuels
Giancarlo Aquila, Lucas Barros Scianni Morais, Victor Augusto Duraes de Faria, Jose Wanderley Marangon Lima, Luana Medeiros Marangon Lima, Anderson Rodrigo de Queiroz
Summary: The development of smart grid technologies enables the integration of new and intermittent renewable energy sources into power systems. This requires accurate short-term load demand forecasting, which is crucial for supply strategies, system reliability decisions, and price formation. Machine learning models, such as Neural Networks and Support Vector Machines, have gained popularity due to advancements in mathematical techniques and computational capacity. The study reviews various methods used for short-term load forecasting, with a focus on machine learning strategies, and discusses the Brazilian experience.
Article
Engineering, Electrical & Electronic
Marija Culjak, Hrvoje Pandzic, Juraj Havelka
Summary: The paper proposes a fast fault detection method for radial DC microgrids that utilizes mathematical morphology (MM) denoising filters and local measurements. The method avoids communication delays while maintaining low cost and computational burden. It includes five different MM-based denoising filters and analyzes the influence of selecting an appropriate structuring element (SE). The proposed method enables reliable, accurate, and fast detection of both pole-to-pole (PP) and pole-to-ground (PG) faults.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Engineering, Electrical & Electronic
K. Sepetanc, H. Pandzic, T. Capuder
Summary: This paper proposes a novel bilevel formulation based on the smoothing technique to address the issue of market price-affecting agents. The upper level models any price-affecting strategic player, while the lower level uses a convex quadratic transmission AC optimal power flow (AC OPF) to solve the market clearing problem, aiming for accuracy close to the exact nonlinear formulations.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
K. Sepetanc, H. Pandzic, T. Capuder
Summary: This paper is the second part of a research on using AC optimal power flow in the lower level of bilevel strategic bidding or investment models. The strategic bidding of energy storage is used as an example of an upper-level problem, and a novel formulation based on the smoothing technique is proposed. Existing solution techniques and the proposed one based on smoothing the complementary conditions are presented and compared in terms of accuracy and computational tractability. The results show that the proposed algorithm and smoothing techniques outperform other options, with a significant improvement in accuracy.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Energy & Fuels
Mahan A. Mansouri, Ramteen Sioshansi
Summary: Recent developments in the electricity industry have sparked interest in energy storage, leading to the exploration of using electric water heaters as a virtual energy storage option. In our study, we compare the performance and operating profit of a fleet of water heaters with energy shifting and frequency regulation capabilities to that of a lithium-ion battery. While water heaters do not match the performance of batteries, their cost-to-profit ratio is better. Both water heaters and batteries show significant operating profits from frequency regulation. Water heaters have a stronger preference for frequency regulation due to temporal constraints on load shifting, but relaxing these constraints improves their performance slightly.
IEEE OPEN ACCESS JOURNAL OF POWER AND ENERGY
(2023)
Article
Energy & Fuels
V. Bobanac, H. Basic, H. Pandzic
Summary: This paper presents a method for obtaining individual one-way charging and discharging efficiencies dependent on the charging/discharging power. The accuracy of the proposed method is experimentally validated.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Computer Science, Information Systems
Sumit Nema, Vivek Prakash, Hrvoje Pandzic
Summary: This paper proposes an intelligent SIC model with an adaptive Fuzzy Logic Controller for a low-inertia microgrid. The proposed approach optimizes the DER output to fulfill the system's Fast Frequency Response (FFR) requirements through particle swarm optimization algorithm. Case studies and numerical results demonstrate improvement in RoCoF and frequency stability.
