Formulation of best estimate plus uncertainty methodologies for economy decarbonization in high-energy-demand isolated systems: Canary Islands forecasts for 2040

Energy Conversion and Management, Год журнала: 2024, Номер 314, С. 118691 - 118691

Опубликована: Июнь 20, 2024

This study explores the transition of Canary Islands from a fossil fuel-dependent energy system to decarbonized economy framework by 2040, utilizing novel Best Estimate Plus Uncertainty (BEPU) approach integrated with Wilk's formula. The research focuses on challenges and methodologies involved in shifting green sources—specifically solar photovoltaic, wind nuclear power—while also incorporating hydrogen as an alternative vector for non-electrifiable sectors. BEPU is central methodology, enhanced correlation analysis synthetic curve generation techniques address inherent variability renewable sources fluctuating demands identify most important inputs uncertainties optimized deterministic scenario. Using Formula, this methodology allows detailed examination 459 different input variable random combinations speed, sun irradiance, electric demand uncertainties, reaching 99/99% coverage confidence levels. 60% simulations showed shortages, potential up 5.2% total demand. To counteract risk isolated power system, 30% increase installed capacity was deemed necessary, which resulted 15% rise overall costs ensure fulfillment across all simulations. highlights significance economic growth electrification vehicle fleet meeting future uncertain Islands. Significant advancements infrastructure are needed reliability meet demands.

Язык: Английский

---

Photovoltaic sizing assessment for microgrid communities under load shifting constraints and endogenous electricity prices: A Stackelberg approach

Energy, Год журнала: 2024, Номер 307, С. 132758 - 132758

Опубликована: Авг. 10, 2024

Язык: Английский

---

Quantifying and enabling the resiliency of a microgrid considering electric vehicles using a Bayesian network risk assessment

Energy, Год журнала: 2024, Номер 308, С. 133036 - 133036

Опубликована: Авг. 30, 2024

Язык: Английский

---

Optimal microgrid planning for electricity security in Niamey: A strategic response to sudden supply disruptions from neighboring sources

Energy Conversion and Management, Год журнала: 2025, Номер 326, С. 119529 - 119529

Опубликована: Янв. 17, 2025

Язык: Английский

---

Multi-objective optimization of hydro-wind-solar generation: A path towards total economy decarbonization with external energy independence in small stand-alone grids

Journal of Energy Storage, Год журнала: 2025, Номер 114, С. 115695 - 115695

Опубликована: Фев. 12, 2025

Язык: Английский

---

Smart Charging and V2G: Enhancing a Hybrid Energy Storage System with Intelligent and Bidirectional EV Charging

World Electric Vehicle Journal, Год журнала: 2025, Номер 16(3), С. 121 - 121

Опубликована: Фев. 23, 2025

Energy storage systems and intelligent charging infrastructures are critical components addressing the challenges arising with growth of renewables rising energy demand. Hybrid systems, in particular, promising, as they combine two or more types technologies complementary characteristics to enhance overall performance. Managing electric vehicle enables demand align fluctuating generation, while can flexibility reliability. In case bidirectional charging, EVs even function mobile, flexible that be integrated into grid. This paper introduces a novel testing environment integrates unidirectional an existing hybrid system. It describes test technical detail, explains functionality, outlines its usefulness practical applications. The system not only supports grid integration but also expands degrees freedom for testing, enabling realistic experimental setups. facilitates comprehensive investigations EV behavior, strategies, control algorithms, user interactions. provides platform exploring possibilities, limitations, optimal use cases smart practice.

Язык: Английский

---

Socio-techno-economic-environmental analysis of vehicle-to-grid-integrated E-mobility in achieving sustainable development goals: A case study

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 447 - 480

Опубликована: Янв. 1, 2025

Язык: Английский

---

Design Optimization of a Grid-Tied Hybrid System for a Department at a University with a Dispatch Strategy-Based Assessment

Sustainability, Год журнала: 2024, Номер 16(7), С. 2642 - 2642

Опубликована: Март 23, 2024

In this research project, the optimal design and evaluation of a hybrid microgrid based on solar photovoltaics, wind turbines, batteries, diesel generators were performed. The conventional grid-tied mode was used in addition to dispatch strategy-based control. study’s test location loads Electrical, Electronic Communication Engineering (EECE) department at Pabna University Science Technology (PUST), Pabna, Bangladesh. DIgSILENT PowerFactory employed determine power system-based behaviors (electrical power, current, voltage, frequency) proposed system, while derivative-free algorithm for expense, size, emission assessments. While developing microgrid, load following (LoF) cycle charging (CyC) control employed. is supposed have 23.31 kW peak requirement. estimated microgrid’s levelized cost energy (LE), its net present (NC), operating cost, annual harmful gas emissions work. Additionally, since grid-connected, amount output that might be exported grid also estimated, which will potentially increase during blackouts. system responses found study ensure various components’ frequency, outcomes are steady within designated range, making practical robust.

Язык: Английский

---

Online EVs Vehicle-to-Grid Scheduling Coordinated with Multi-Energy Microgrids: A Deep Reinforcement Learning-Based Approach

Energies, Год журнала: 2024, Номер 17(11), С. 2491 - 2491

Опубликована: Май 22, 2024

The integration of electric vehicles (EVs) into vehicle-to-grid (V2G) scheduling offers a promising opportunity to enhance the profitability multi-energy microgrid operators (MMOs). MMOs aim maximize their total profits by coordinating V2G and flexible loads end-users while adhering operational constraints. However, strategies online poses challenges due uncertainties such as electricity prices EV arrival/departure patterns. To address this, we propose an framework based on deep reinforcement learning (DRL) optimize battery utilization in microgrids with different energy sources. Firstly, our approach proposes model that integrates management demands, modeled Markov Decision Process (MDP) unknown transition. Secondly, DRL-based Soft Actor-Critic (SAC) algorithm is utilized efficiently train neural networks dynamically schedule charging discharging activities response real-time grid conditions demand Extensive simulations are conducted case studies testify effectiveness proposed approach. overall results validate efficacy framework, highlighting its potential drive sustainability operations.

Язык: Английский

---

Vehicle-to-grid as a competitive alternative to energy storage in a renewable-dominant power system: An integrated approach considering electric vehicle drivers and power system

Energy, Год журнала: 2024, Номер unknown, С. 133194 - 133194

Опубликована: Сен. 1, 2024

Язык: Английский

---