Stochastic economic sizing and placement of renewable integrated energy system with combined hydrogen and power technology in the active distribution network

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 16, 2024

The current study concentrates on the planning (sitting and sizing) of a renewable integrated energy system that incorporates power-to-hydrogen (P2H) hydrogen-to-power (H2P) technologies within an active distribution network. This is expressed in form optimization model, which objective function to reduce annual costs construction maintenance systems. model takes into account operation wind, solar, bio-waste resources, as well hydrogen storage (a combination P2H, H2P, tank), optimal power flow constraints Electrical are administered system. modeling uncertainties regarding quantity load resources achieved through stochastic using Unscented Transformation method. novelties scheme include sizing placement combined power-based system, consideration impacts units, H2P systems network, method calculation time. study's results demonstrate scheme's ability improve technical conditions network by considering In comparison flow, status has been improved approximately 23-45% siting, sizing, management equipment, other words, able losses voltage drop 44.5% 42.4% compared studies. this situation, peak carrying capability increased about 23.7%. addition, case with overvoltage decreased 43.5%. Also, lower time than scenario-based optimization.

Язык: Английский

---

Sentiment analysis of tweets employing convolutional neural network optimized by enhanced gorilla troops optimization algorithm

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 4, 2025

Sentiment analysis has become a difficult and important task in the current world. Because of several features data, including abbreviations, length tweet, spelling error, there should be some other non-conventional methods to achieve accurate results overcome issue. In words, because those issues, conventional approaches cannot perform well accomplish with high efficiency. Emotional feelings, such as fear, anxiety, or traumas, often stem from many psychological issues experienced during childhood that can persist throughout life. addition, people discuss share their ideas on social media, unconsciously representing hidden emotions comments. This study is about sentiment tweets shared by people. fact, determine whether comments are positive negative. The paper introduces use Convolutional Neural Network (CNN), kind neural network, optimized Enhanced Gorilla Troops Optimization Algorithm (CNN-EGTO). Two datasets provided SemEval-2016 used evaluate system, while polarity were manually determined. It was determined findings present suggested model could approximately values 98%, 95%, 96.47% for accuracy, precision, recall, F1-score, respectively, polarity. gain 97, 96, 98, 97.49 negative Consequently, it found outperform models considering performance These metrics represent sentence, negative, great

Язык: Английский

---

A multi-strategy enhanced Dung Beetle Optimization for real-world engineering problems and UAV path planning

Alexandria Engineering Journal, Год журнала: 2025, Номер 118, С. 406 - 434

Опубликована: Янв. 24, 2025

Язык: Английский

---

Optimizing PEMFC parameter identification using improved pufferfish algorithm and CNN

AIP Advances, Год журнала: 2025, Номер 15(2)

Опубликована: Фев. 1, 2025

In this research, a novel approach has been proposed for enhancing the accuracy of proton exchange membrane fuel cell (PEMFC) models based on convolutional neural networks (CNNs) and an improved optimization method (called pufferfish algorithm). This suggested to improve predictive performance model by optimizing estimation PEMFC parameters. The results with almost 2.5-unit training error parameter using sample data during provide promising output system. These confirm effectiveness acceptable errors good identification parameters PEMFCs over diverse circumstances. yield voltage–current curves predicted optimized CNN display high degree correlation empirical curves, clearly proving achieved its ability learn underlying relationship, thus helping estimation.

Язык: Английский

---

An Improved NSGA‐III With Hybrid Crossover Operator for Multi‐Objective Optimization of Complex Combined Cooling, Heating, and Power Systems

Energy Science & Engineering, Год журнала: 2025, Номер unknown

Опубликована: Март 5, 2025

ABSTRACT Traditional combined cooling, heating, and power (CCHP) systems are highly efficient in energy utilization but face challenges such as high operational costs, CO 2 emissions, complex scheduling. In traditional CCHP systems, typically used large commercial settings like hospitals or shopping centers, daily costs can exceed $1500, emissions often surpass 1.5 tons, limiting broader adoption. This study introduces an improved system (CCHP‐Plus), which integrates photovoltaic thermal (PV/T) technology storage equipments (ESEs) to mitigate these issues. PV/T collectors generate both electricity heat, reducing natural gas dependence, while ESE balances supply demand for enhanced management. The effectiveness of CCHP‐Plus is assessed using three key indicators: primary consumption, cost, emissions. NSGAIII‐AC‐GM delivers a 20% reduction 10% decrease outperforming seven other algorithms optimization efficiency on DTLZ IMOP problems. Furthermore, the algorithm demonstrates superior performance across four scenarios, making it promising solution sustainable systems. These findings offer valuable numerical insights, showcasing system's potential real‐world applications.

Язык: Английский

---

Benders Decomposition‐Based Power Network Expansion Planning According to Eco‐Sizing of High‐Voltage Direct‐Current System, Power Transmission Cables and Renewable/Non‐Renewable Generation Units

IET Renewable Power Generation, Год журнала: 2025, Номер 19(1)

Опубликована: Янв. 1, 2025

ABSTRACT High‐voltage DC (HVDC) systems are taken into consideration while simultaneous generation and transmission expansion planning in this paper. It is based on the placement sizing of generating units, AC cables, HVDC systems. Within system, reactive power network may be managed by substations equipped with AC/DC DC/AC electronic converters, respectively. Plan takes form a bi‐stage optimization, where upper level aims to minimize yearly cost constructing items stated, taking account constraints related size investment budget. Minimization costs units energy losses lower‐level problem. Linearized flow model operating parameters both non‐renewable renewable bind goal function. To simulate uncertainty demand electricity, stochastic optimization used. Utilizing Benders decomposition approach, problem solved best solution extracted. Numerical outcomes derived from several cases demonstrate plan's potential enhance network's technical economic features. In comparison studies, (operating) status improved around 10% (10–40%).

Язык: Английский

---

Maximizing thermal and electrical efficiency with thermoelectric generators and hybrid photovoltaic converters: Numerical, economic, and machine learning analysis

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 59, С. 104452 - 104452

Опубликована: Апрель 27, 2024

In this paper, we introduce an innovative thermoelectric, photovoltaic hybrid system and investigate its performance under various radiation intensities heat transfer coefficients outside the cavity. Our findings reveal that proposed yields twice power output compared to a traditional plate system. Through economic analysis, project 45% reduction in energy cost with novel structure full Notably, positioning at bottom of cavity, where maximum occurs, is deemed optimal. analysis demonstrates significant increase generation due convection approximately 9% incoming reflected further 59% without Utilizing artificial neural networks, predict thermal electrical generation, achieving Mean Absolute Error (MAE) below 3% R-squared value exceeding 0.98. Additionally, our model's predictions closely match experimental results, validating accuracy practical utility. This comprehensive study advances field by offering design outperforms existing solutions while providing insights into optimizing placement enhancing through sophisticated modeling techniques.

Язык: Английский

---

Evaluating the influence of environmental regulations on green economic growth in China: A focus on renewable energy and energy efficiency guidelines

Energy Strategy Reviews, Год журнала: 2024, Номер 56, С. 101544 - 101544

Опубликована: Окт. 19, 2024

Язык: Английский

---

Battery storage optimization in wind energy microgrids based on contracted fitness-dependent optimization algorithm

Energy Reports, Год журнала: 2024, Номер 11, С. 2189 - 2203

Опубликована: Фев. 6, 2024

This research study presents a novel approach to enhance the efficiency and performance of Battery Energy Storage Systems (BESSs) within microgrids, focusing particularly on integration wind energy. The inherent inconsistency unpredictability Renewable Resources (RERs) necessitate development effective solutions accommodate them. Our organization provides customized iteration metaheuristic algorithm referred as Contracted fitness-dependent optimizer. proposed methodology involves adaptive adjustment migration rates based habitat suitability indices, while also considering variations in perturbations. incorporation Lévy flight an elimination phase significantly enhances algorithm's efficacy problem-solving. In order establish superiority our strategy over alternative optimization approaches, we conduct simulations across diverse conditions subsequently compare outcomes. findings emphasize economic operational benefits associated with appropriately sized microgrid contexts. These advantages have potential battery longevity promote more sustainable energy systems.

Язык: Английский

---

A novel approach for early gastric cancer detection using a hybrid of alexnet, extreme learning machine, and adjusted gorilla troops optimization

Biomedical Signal Processing and Control, Год журнала: 2024, Номер 93, С. 106126 - 106126

Опубликована: Фев. 24, 2024

Язык: Английский

---