Article
Energy & Fuels
Chaowanan Jamroen, Pokkrong Vongkoon
Summary: This study proposes a power control strategy that incorporates state-of-charge (SoC) management to improve the reliability of off-grid residential PV-BES systems. The simulation results show that BES power management with SoC management can significantly reduce BES capacity and levelized cost of energy (LCOE) compared to conventional strategies.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Chemical
Yueping Luo, Yongmao Xiao
Summary: This paper proposes a full-state reliability analysis model based on meta action (MA) and a Markov chain for remanufactured exercise machine tools (REMTs). The MAU fault tree model is established through the integration of the MAU decomposition method. The full-state modeling based on the MAU characteristics of the REMT is performed, and the reliability is evaluated using an analytical method and verified through an example.
Article
Automation & Control Systems
Jianqing Fan, Bai Jiang, Qiang Sun
Summary: This paper establishes Hoeffding's lemma and inequality for bounded functions of general-state space and not necessarily reversible Markov chains, showing the necessity of boundedness of functions for such results. The optimality of the ratio between variance proxies in the Markov-dependent and independent settings is characterized. The new results are applied to various practical problems to showcase their usefulness.
JOURNAL OF MACHINE LEARNING RESEARCH
(2021)
Article
Energy & Fuels
Soheil Mohseni, Alan C. Brent
Summary: This paper introduces a novel probabilistic hybrid ESS capacity planning optimisation model based on a state-of-the-art metaheuristic algorithm, and demonstrates its effectiveness through a case study in an eco-village in New Zealand. The simulation results show a premium range of -4% to -36% compared to deterministic results in probabilistic scenarios, and a 39% lower lifecycle cost estimate in the best-case stochastic scenario compared to deterministic modeling. Additionally, the economic benefits of temporal energy arbitrage using the battery bank are investigated.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
Marcos Tostado-Veliz, Daniel Icaza-Alvarez, Francisco Jurado
Summary: This paper investigates the optimal sizing of a hybrid photovoltaic-battery storage system for home energy management considering reliability, demand response, and grid outages. It proposes a novel optimization framework, conducts extensive data processing, and incorporates various demand response strategies.
Article
Green & Sustainable Science & Technology
Woo-sung Kim, Hyunsang Eom, Youngsung Kwon
Summary: This study proposes two Markov chain models, Embedded Markov and Absorbing Markov chain, to improve the reliability and sustainability of photovoltaic-coupled energy storage system. The models can help evaluate important measurements and determine the optimal system parameters combination.
Article
Thermodynamics
David A. Copp, Tu A. Nguyen, Raymond H. Byrne, Babu R. Chalamala
Summary: More and more utilities, energy providers, and governments are considering the transition to 100% renewable or carbon-free generation to meet electricity demand. Models that can explore the optimality of tradeoffs between multiple factors are crucial for planning this transition.
Article
Computer Science, Interdisciplinary Applications
Xian Zhao, Bingbing Dong, Xiaoyue Wang, Yanbo Song
Summary: Protective devices are crucial for the stable operations of safety-critical systems by reducing the risks of system failures. However, the research on protective devices is currently limited. This paper proposes a system model with a multi-state protective device and analyzes a series of probabilistic indices for the system and the protective device using finite Markov chain imbedding approach and phase-type distributions.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Statistics & Probability
Karima Elkimakh, Abdelaziz Nasroallah
Summary: This work focuses on estimating the steady-state probabilities of the two processes in a standard Hidden Markov Model. While the steady-state Markov chain estimation is well known, more attention is given to the estimation of the emission process. The technique based on the regenerative notion, commonly used in steady-state Markov chain simulation, is highlighted. Numerical Monte Carlo simulations are conducted to demonstrate the usefulness of the proposal and compare the quality of different estimators.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
(2022)
Article
Energy & Fuels
Liwei Zhou, Matthias Preindl
Summary: This paper proposes a reconfigurable power module system for hybrid micro-grid to reduce the designing cost with standardized software and hardware components. The system consists of three layers and can be interfaced with different types of energy resources, allowing for generalized and automated energy conversion designing procedures.
Article
Green & Sustainable Science & Technology
Muhammad Shahzad Javed, Jakub Jurasz, Mohammad Guezgouz, Fausto A. Canales, Tyler H. Ruggles, Tao Ma
Summary: It is a challenge to fully power large-scale grids with intermittent renewable energy due to technical and economic difficulties. However, with the decrease in the cost of renewable off-grid systems, there has been an increase in real-world implementations and studies on optimal capacity sizing. This study shows that considering extended simulation periods improves the reliability and robustness of renewable energy systems, and underestimating energy storage capacities in off-grid systems can affect their long-term sustainability.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Engineering, Electrical & Electronic
Kendall Parker, Prabir Barooah
Summary: With the increased use of renewable energy sources, the need for reserves becomes crucial to ensure reliable electricity supply. Methods to determine minimal reserves are required to address the high cost, and simple indicators of volatility may not accurately predict reserve requirements in a renewable rich future.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Abdullah Alamri, Maad Alowaifeer, A. P. Sakis Meliopoulos
Summary: This paper presents a sizing model and reliability assessment framework for energy storage systems (ESS) in electric energy systems with high renewable energy penetration. The model considers variable generation (VG) forced outage rates, reserve and demand requirements, and conventional generation (CG) operational constraints. The correlation coefficients among wind speed, solar radiation, and demand are computed using the least square estimation method. Probabilistic models for composite demand are integrated into the ESS sizing model, and the optimal sizes and charging/discharging schedules are computed. Reliability is quantified using the probabilistic production costing method. A case study is presented to compare the error when treating one VG as an independent variable.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Energy & Fuels
Chaimaa Essayeh, Thomas Morstyn
Summary: This paper proposes an optimal design strategy for a grid-connected site that determines the optimal sizing capacities of renewable generation and storage, as well as the required network reinforcement capacity. The strategy integrates network upgrade costs and considers flexibility from distributed flexible resources. The application of the strategy on a smart city project demonstrates the importance of considering flexibility in the planning phase.
Article
Computer Science, Information Systems
Omid Zarenia, Mohammad Javad Salehpour, Razieh Ghaedi, Miadreza Shafie-Khah
Summary: This study examines the failure rate of switches and renewable distributed generations (RDG) in order to assess their impact on the reliability cost of a system and their effect on the optimal placement. By minimizing overall costs including investment, maintenance, and interruption, the study achieves optimal placement of switches and RDGs in radial distribution systems.