Article
Energy & Fuels
Mehrdad Gholami, Omkolsoom Shahryari, Navid Rezaei, Hassan Bevrani
Summary: This paper presents a method to estimate the required battery capacity in the design phase of a wind farm based on wind speed data and turbines position. The method considers wake effect, turbulence, and spatial smoothing to estimate the short-term fluctuation of wind farm power. It also presents a method to estimate the optimum battery capacity based on statistical characteristics of wind farm power. Additionally, a new model is presented to estimate the battery lifetime in the case of non-uniform charge/discharge cycles. The numerical results show the effectiveness of the proposed approach in determining the optimum battery capacity.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Thermodynamics
Brage Rugstad Knudsen, Daniel Rohde, Hanne Kauko
Summary: Thermal energy storage (TES) plays a key role in increasing the utilization of industrial waste heat in district heating systems. Sizing, control, and integration of TES in a heating plant are crucial for equalizing demand and supply offsets. Dynamic simulation and model predictive control can effectively optimize the sizing of TES in heating plants utilizing a varying waste-heat source.
Article
Engineering, Electrical & Electronic
Yuanhang Zhang, Peng Kou, Linbo Yu, Deliang Liang
Summary: This study proposes a model predictive control (MPC) scheme for coordinated operation of power sources, achieving optimal voltage control and frequency regulation under HVDC pole block fault. The scheme involves a top-layer controller calculating power references and a bottom-layer controller executing them, showing promising results in simulation.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Mayur P. Bonkile, Venkatasailanathan Ramadesigan
Summary: This paper studies battery degradation in standalone PV-wind battery hybrid power systems and finds that increasing the size of the battery energy storage system can extend its lifespan and reduce energy generation costs.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Thermodynamics
Andrew Lyden, Paul Gerard Tuohy
Summary: This study demonstrates the ability of PyLESA to capture flexibility benefits at the planning stage and quantify the advantage of combining flexible tariffs with model predictive control. The lowest levelized cost of heat was achieved with a time-of-use tariff, 750 kW heat pump, and 500 m3 hot water tank combination.
Article
Energy & Fuels
M. Goldsworthy, T. Moore, M. Peristy, M. Grimeland
Summary: Reducing costs and increasing onsite generation sources are driving the development of complex battery control algorithms aimed at minimizing electricity costs. This study reports on a trial demonstration of a cloud-based data-driven robust model predictive battery control algorithm and evaluates its forecasting model and control performance in situ. Despite encountering operational issues during the trial, the algorithm still achieved cost savings in electricity bills.
Article
Energy & Fuels
Miswar A. Syed, Muhammad Khalid
Summary: The paper proposes a novel neural network model predictive control approach for smoothing photovoltaic power with battery energy storage system, which generates a more accurate predictive model of the plant compared to conventional MPC methods. The neural network model solves issues related to mathematical complexity and optimizes battery state of charge, promoting enhanced battery life.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Thermodynamics
Walker Olis, David Rosewater, Tu Nguyen, Raymond H. Byrne
Summary: This study investigates the impact of heating, ventilation, and air conditioning load on the optimal sizing and cost of battery energy storage systems. The results show that these parasitic loads can significantly affect the energy capacity, power rating, and capital cost of the system.
Article
Green & Sustainable Science & Technology
Diego Cirio, Francesco Conte, Bruno Gabriele, Chiara Gandolfi, Stefano Massucco, Marco R. Rapizza, Federico Silvestro
Summary: This paper proposes a control strategy based on Model Predictive Control technique for a unit composed of a Wind Farm and Battery Energy Storage Systems (BESSs) to provide a fast frequency regulation service. The approach is tested via Hardware-In-the-Loop simulations and proves to be effective.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Can Wan, Weiting Qian, Changfei Zhao, Yonghua Song, Guangya Yang
Summary: This paper proposes a probabilistic forecasting-based HESS sizing and control scheme to cost-effectively smooth wind power fluctuations, which significantly reduces the installation cost and operation cost of HESS and prominently smooth the wind power fluctuations, as demonstrated by case studies based on actual data from a Danish wind farm.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Energy & Fuels
Yuqing Yang, Stephen Bremner, Chris Menictas, Merlinde Kay
Summary: This study introduces a novel approach for battery sizing in an HRPP based on forecasting error characteristics, which reduces the battery capacity requirements effectively, demonstrating a certain degree of foresight and operability.
JOURNAL OF ENERGY STORAGE
(2021)
Review
Energy & Fuels
Luanna Maria Silva de Siqueira, Wei Peng
Summary: In recent years, wind energy has become increasingly important in the global energy structure, but its fluctuations present challenges. Battery energy storage systems are commonly used to smooth wind power output, with research focusing on optimizing control strategies to reduce costs and improve suitability. Current studies primarily utilize PI, Fuzzy, and MPC control strategies, with less emphasis on emerging deep learning technologies in the field of Wind Energy.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Automation & Control Systems
Yao Zhao, Lina Deng, Dongdong Li, Fan Yang, Yang Mi, Miao Zhu
Summary: This paper proposes an energy storage coordinated control strategy based on model predictive control to mitigate wind power fluctuations. By designing different operating modes and energy state feedback control, the ability of the energy storage system to smooth wind power fluctuations is significantly improved.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2022)
Article
Energy & Fuels
Mattia Secchi, Grazia Barchi, David Macii, David Moser, Dario Petri
Summary: This paper investigates a bi-objective strategy for optimizing the capacity of Battery Energy Storage Systems (BESSs) for REC prosumers with PV generators, using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The strategy aims to maximize self-sufficiency from the main grid while minimizing BESS capacity. Results show that a P2P energy sharing policy slightly outperforms P2G in reducing CO2 emissions, and returns on investment are generally higher with increasing electricity demand.
Article
Environmental Studies
Syed Mujtaba Mahdi Mudassir, U. Salma
Summary: This article proposes an optimal size and performance analysis for hybrid renewable energy sources using the atomic orbital search-recalling-enhanced recurrent neural network technique. The proposed method aims to reduce the life-cycle cost of the system while considering various factors such as wind turbines, solar panels, energy storage systems, and biodiesel generators. The method is validated using MATLAB and compared with existing methods.
ENERGY & ENVIRONMENT
(2023)
Article
Energy & Fuels
Luis A. Martinez-Tossas, Philip Sakievich, Matthew J. Churchfield, Charles Meneveau
Summary: This work revisits the filtered lifting line theory and provides a more general formulation for solving flow problems with significant changes in chord, such as wind turbine blades.