Aug 2026· Energies· Vol 19, pp. 4075· 0 citations· 11 references
Abstract
Battery Energy Storage System (BESS) models for reliability evaluation, as well as other power system simulation studies, are typically characterized by two key variables: State of Charge (SOC), representing the stored energy in MWh, and Injected Power (PB), indicating charging or discharging power in MW. These variables strongly depend on the operational role of the BESS within the system. Ideally, long-term time series data—spanning at least one year—from real installations would be available to support accurate modeling. However, due to the relatively recent deployment of BESS technologies, such data are often limited or unavailable. To address this limitation, this paper proposes a methodology for generating synthetic time series of SOC and PI for a specific BESS configuration and operational objective. The approach is based on a framework that determines the operation of the BESS to meet a predefined objective. The generated data is subsequently used to develop a BESS model suitable for composite reliability assessment using non-sequential Monte Carlo simulation.
Photovoltaic (PV) plants participating in reliability mechanisms require design methods that assess both energy production and performance under critical resource conditions. This paper presents a computational methodology for physical modeling and optimal sizing of grid-connected PV systems to estimate Firm Energy und...
Sebastián Orozco-Bañol, A. Escobar-Mejía, D. Cárdenas-Peña· Clean Technology· 0 citations
Battery Energy Storage Systems (BESS) are increasingly deployed in distribution systems (DSs) to enhance stability and improve the utilization of energy from renewable energy sources (RESs). However, their optimal sizing, siting, and operation remain open challenges. This paper proposes a novel optimization strategy fo...
Cristhian G. da R. de Oliveira, G. Barchi, João B. A. London et al.· 2026 International Conferenc...· 0 citations
In grid-connected PV-ESS plants, battery degradation is often treated as an external correction rather than a quantity coupled directly to sizing and dispatch decisions. This study develops a constraint-aware NSGA-II framework in which cycle- and calendar-induced capacity fade are evaluated from the simulated state-of-...
R. Areola, A. Adebiyi· Sustainability· 0 citations
This paper proposes a high-fidelity hyperscale data center load modeling framework that disaggregates facility demand into IT and non-IT components and represents load behavior at second- and minute-level resolutions. Building upon this foundation, a comprehensive multi-phase optimization framework is developed for the...
Aiming at the dual requirements of modeling accuracy and computational efficiency for power battery systems in the conceptual design of hybrid electric aircraft (HEA), this paper proposes a system-level trade-off-oriented battery modeling and design framework. Firstly, a grey-box equivalent circuit model (ECM) with phy...
Kai-Qi Jin, Jun Zhou· Journal of Physics, Conferen...· 0 citations
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