Integrating renewable energy sources and electric vehicles in dynamic economic emission dispatch: an oppositional-based equilibrium optimizer approach

Engineering Optimization, Journal Year: 2024, Volume and Issue: 56(11), P. 1845 - 1879

Published: Jan. 4, 2024

This article proposes a solution to the Dynamic Economic Emission Dispatch (DEED) problem, which incorporates wind, solar and plug-in electric vehicles (PEVs) into optimization challenge. The new model, called Wind-Solar-Plug in Electric Vehicle (WSPEV) DEED, utilizes an technique Oppositional-based Equilibrium Optimizer (OEO) method with Weibull Beta distributions model wind resources. charging discharging patterns of PEVs are also considered model. proposed approach is evaluated through several scenarios involving Renewable Energy Sources (RESs) PEVs, simulation results demonstrate effectiveness achieving sustainable cost-effective power system. WSPEV DEED provides valuable crucial for successfully integrating RESs system future.

Language: Английский

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Economic emission dispatch considering electric vehicles and wind power using enhanced multi-objective exchange market algorithm

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 415, P. 137805 - 137805

Published: June 13, 2023

Language: Английский

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An adaptive virtual inertia control design for energy storage devices using interval type-2 fuzzy logic and fractional order PI controller

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 84, P. 110791 - 110791

Published: Feb. 12, 2024

Language: Английский

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Hybrid technique for optimizing charging-discharging behaviour of EVs and demand response for cost-effective PV microgrid system

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 96, P. 112667 - 112667

Published: June 24, 2024

Language: Английский

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Equilibrium optimizer for multi-objective dynamic economic emission dispatch integration with plug-in electric vehicles and renewable sources

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 7(3), P. 2683 - 2699

Published: Feb. 5, 2024

Language: Английский

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Short-Term Photovoltaic Power Forecasting Based on a Feature Rise-Dimensional Two-Layer Ensemble Learning Model

Sustainability, Journal Year: 2023, Volume and Issue: 15(21), P. 15594 - 15594

Published: Nov. 3, 2023

Photovoltaic (PV) power generation has brought about enormous economic and environmental benefits, promoting sustainable development. However, due to the intermittency volatility of PV power, high penetration rate may pose challenges planning operation systems. Accurate forecasting is crucial for safe stable grid. This paper proposes a short-term method using K-means clustering, ensemble learning (EL), feature rise-dimensional (FRD) approach, quantile regression (QR) improve accuracy deterministic probabilistic power. The clustering algorithm was used construct weather categories. EL two-layer (TLEL) model based on eXtreme gradient boosting (XGBoost), random forest (RF), CatBoost, long memory (LSTM) models. FRD approach optimize TLEL model, FRD-XGBoost-LSTM (R-XGBL), FRD-RF-LSTM (R-RFL), FRD-CatBoost-LSTM (R-CatBL) models, combine them with results reciprocal error method, in order obtain FRD-TLEL model. QR probability different confidence intervals. experiments were conducted data at time level 15 min from Desert Knowledge Australia Solar Center (DKASC) forecast certain day. Compared other proposed lowest root mean square (RMSE) absolute percentage (MAPE) seasons types. In interval forecasting, 95%, 75%, 50% intervals all have good indicate that exhibits superior performance compared methods.

Language: Английский

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Intelligent managements of the plug-in electric vehicles and pumped storage power station integrated with the dynamic economic emission dispatch

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 110969 - 110969

Published: Feb. 1, 2025

Language: Английский

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Modelling and Optimization of a FACTS devices operated Multi-Objective optimal reactive power dispatch (ORPD) problem Minimizing both Operational Cost and Fuel Emissions

Sustainable Computing Informatics and Systems, Journal Year: 2025, Volume and Issue: unknown, P. 101104 - 101104

Published: March 1, 2025

Language: Английский

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Effective Multi-objective Dynamic Economic Emission Dispatch Optimization with Electric Vehicles Using Hybrid Oppositional-Based Learning Sine Cosine Algorithm

Published: Jan. 1, 2025

Language: Английский

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Global Analysis of Electric Vehicle Charging Infrastructure and Sustainable Energy Sources Solutions

World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(4), P. 194 - 194

Published: March 26, 2025

Recently, the rapid increase in adoption of electric vehicles (EVs) has been driven by considerable technological advancements and a growing focus on environmental sustainability. As consumers governments increasingly recognize EVs as viable alternative to traditional internal combustion engine vehicles, demand for reliable accessible charging infrastructure surged. However, establishing robust network stations is no longer crucial only fulfill demands EV proprietors but also relieve range anxiety improve user convenience, thereby facilitating wider adoption. This paper provides comprehensive global analysis station infrastructure, exploring international standards regulations, various modes, key parameters leading importance RE deployment ES solutions.

Language: Английский

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