Optimal Power Allocation of BESS in Microgrid using Machine Learning Techniques DOI

Hari Teja Charakanam,

Indira Damarla, R. Panda

et al.

Published: Feb. 22, 2024

Renewable energy sources (RES) are often considered unreliable due to their inherent fluctuations. However, the installation of a Battery Energy Storage System (BESS) can effectively address this issue. RES This paper proposes technique attain optimal allocation BESS where solution is decided by using Long Short-Term Memory Algorithm (LSTM). The objective function formulated minimize operational cost in distribution grid while ensuring power balance and stability. Two cases investigated first case focuses on predicting real-time demand generation patterns, along with critical factors such as state charge, availability renewable (like solar intensity, wind speed), load patterns second involves day-ahead market. proposed has been applied generic network results show that LSTM algorithm provide network, thus reducing total system losses. approach be various microgrid systems residential, commercial, industrial, contributing development smart technology providing practical for improving reliability sustainability microgrids.

Language: Английский

Optimal economical sizing of a PV-battery grid-connected system for fast charging station of electric vehicles using modified snake optimization algorithm DOI Creative Commons
Abd El‐Shafy A. Nafeh, Abd El-Fattah A. Omran, A. Elkholy

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101965 - 101965

Published: March 1, 2024

This paper presents a methodology for the optimal sizing of proposed photovoltaic (PV)-battery grid-connected system fast charging station electric vehicles (FCSEVs) in Cairo, Egypt. The key objectives formulated optimization problem are to minimize total cost and guarantee validity energy balance principle within considered system. also develops novel management strategy, which is designed based on two widely adopted pricing strategies, optimally managing power flow with purpose reaching optimum sizes components. In addition, suggests modification Snake (SO) algorithm, used solve using MATLAB software. Moreover, comparison conducted among modified (MSO) algorithm four other common meta-heuristic algorithms validate viability suggested MSO achieving desired eventual aims process. Furthermore, techno-economic study carried out assess economic each strategies over project lifetime. yielded results indicated that developed strategy capable effectively. Also, they demonstrated can yield best solutions compared algorithms.

Language: Английский

Citations

30
Bi-LSTM, GRU and 1D-CNN models for short-term photovoltaic panel efficiency forecasting case amorphous silicon grid-connected PV system DOI Creative Commons

Abdellatif Ait Mansour,

Amine Tilioua,

Mohammed Touzani

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101886 - 101886

Published: Feb. 8, 2024

Photovoltaic (PV) panels stand as a prominent solution to meet the world's growing energy demands, due their resistance hard climate conditions, low-cost maintenance, and long lifetime. Nonetheless, integration of PV power into electrical grids poses significant challenge its inherent intermittency. This study aims forecast future based on historical records using Bidirectional Long Short-Term Memory (Bi-LSTM), One-Dimensional Convolutional Neural Network (1D-CNN), Gated Recurrent Unit (GRU). Various performance metrics have been used evaluate compare accuracy three models, including mean squared error, root absolute max error R-squared for evaluation. The prediction photovoltaic values registered in last hour was carried out. Two scenarios investigated, with without nighttime fit models. Results reveal that forecasting models provide exceptional accuracy, achieving correlation coefficient range 96.9–97.2% daytime both scenarios, indicating promising potential these DNNs forecasters optimizing production improving overall system efficiency. GRU, BiLSTM-based showed identical results terms RMSE, MSE MAE while 1D-CNN forecaster accurate second scenario, However, despite this improvement, it still falls behind Bi-LSTM or GRU scenarios.

Language: Английский

Citations

26
Optimizing renewable polygeneration: A synergetic approach harnessing solar and wind energy systems DOI Creative Commons
Muhammad Shoaib Saleem, Naeem Abas

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101743 - 101743

Published: Jan. 1, 2024

Transitioning from fossil fuels to renewable energy ensures a sustainable and green future by limiting greenhouse gas emissions their nuisance effects. The current study proposes polygeneration system that harnesses produce multiple vectors simultaneously equipped with storage mitigate the impact of intermittent weather. To perform dynamic analysis, proposed has been modeled, optimized, simulated using transient simulation software TRNSYS®. Additionally, it optimized in GenOpt, linked TrnOpt, under weather conditions University Gujrat. power is energized solar photovoltaic, thermal wind cooling, heating, electricity, hydrogen, oxygen as vectors, also provides electric, storage. Prime movers utilized for conversion encompass evacuated glass tube collector, photovoltaic panels, system, fuel cell, electrolyzer, absorption chiller, which are responsible facilitating air-conditioning, space water electric supply vehicle, building load & national grid, hydrogen internal combustion engines, cell vehicle industrial applications, well hospitals. shown collector an efficiency 0.68, fraction 0.78, peak outlet temperature 143.77 °C, generates total 1399656.25 kJ. have maximum efficiencies 52.24 % 10.90 respectively, resulting production 44.8 MWh energy. Embracing synergy holds key eco-friendly future.

Language: Английский

Citations

20
Optimal sizing of off-grid microgrid Building-Integrated-Photovoltaic system with battery for a Net Zero Energy Residential Building in different climates of Morocco DOI Creative Commons

Sarah Forrousso,

Samir Idrissi Kaitouni,

Abdelali Mana

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102288 - 102288

Published: May 21, 2024

An optimal sizing of an off-grid microgrid system composed photovoltaic (PV)/building integrated (BIPV)/battery energy storage installation is undergone for Net Zero Energy Residential Building blocks across six different climates Morocco in order to reach the objective providing all load requirements at minimum. The Particle Swarm Optimization algorithm used find system, by considering hourly spatiotemporal variations both solar availability and demand variation, with lowest Total Annualized Cost as function capacities BIPV battery decision variables. methodology adopted focuses on main fulfillment through direct PV power supply, backed technology, continually guarantee self-sufficiency. A key metric, cover factor, introduced quantify ratio which satisfied systems. findings show that can help improve factor 0.68-2.58%. Moreover, integrating Battery leads a reduction Levelized approximately 8.7-20.72 %, opposed utilizing only battery. Depending local climate, levelized cost ranges from 0.366 $/kWh Ouarzazate city up 0.664 $/kWh.in Ifrane city. Lastly, this holistic approach aims transform building its traditional role consumer carbon-free electricity generator.

Language: Английский

Citations

20
Performance improvement through nonlinear control design and power management of a grid-connected wind-battery hybrid energy storage system DOI Creative Commons
Karim El Mezdi, Abdelmounime El Magri, Ilyass El Myasse

et al.

Results in Engineering, Journal Year: 2023, Volume and Issue: 20, P. 101491 - 101491

Published: Oct. 13, 2023

This paper presents a study on the application of nonlinear control and optimal power management techniques in grid-connected wind energy conversion system with battery storage. The objective is to efficiently supply load while considering performance constraints. under investigation comprises turbine, battery, AC-grid, load. Power delivered through various converters DC-link. However, intermittent nature frequent fluctuations can negatively impact battery's lifetime charging performance. To address these challenges, controller novel are designed. generates multiple flow scenarios achieve equilibrium distribution between sources. aims minimize overall costs, ensure DC-grid stability, enhance quality. Two distinct operation modes identified: i) MPPT mode, which utilizes an optimizer maximize extraction, ii) adaptive point tracking (APPT) considers demand-driven production state charge (SOC) storage system. convergence closed-loop formally analyzed, simulation results confirm improved proposed multi-criteria design for management.

Language: Английский

Citations

34
Optimal planning of photovoltaic and distribution static compensators in medium-voltage networks via the GNDO approach DOI Creative Commons
Oscar Danilo Montoya, Walter Gil-González, Luis Fernando Grisales-Noreña

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102764 - 102764

Published: Aug. 24, 2024

Language: Английский

Citations

6
An improved binary African vultures optimization approach to solve the UC problem for power systems DOI Creative Commons
Ahmad Abuelrub,

Boshra Awwad

Results in Engineering, Journal Year: 2023, Volume and Issue: 19, P. 101354 - 101354

Published: Aug. 12, 2023

Unit commitment (UC) is one of the most crucial problems in electrical power systems. It concerns finding optimal schedule for generating units such that production cost minimized over a given period. This paper aims to solve unit problem by proposing binary version recent metaheuristic algorithm, African Vultures Optimization Algorithm (AVOA), which nature-inspired algorithm mimics hunting mechanism and behavior vultures. has advantage creating various phase shift approaches avoid premature convergence local optimum trapping. AVOA uses two mechanisms exploration four exploitation ensure algorithm's ability diversify intensify. The continuous cannot tackle mixed-integer nature UC. In this paper, sigmoid transfer function used convert into decide on/off status units. To further enhance performance proposed new values controlling parameters are proposed. Finally, tested on IEEE 30-, 14-, 57-bus Binary (BAVOA) superiority other algorithms case study. addition, results revealed BAVOA gives better discrete search space (DSS) compared (CSS). For instance, operation an 30-bus system DSS 12,768 dollars 7% less than CSS.

Language: Английский

Citations

12
Assessing stability in renewable microgrid using a Novel-Optimized Controller for PV-Battery Based Micro Grid with Opal-RT based real-time validation DOI Creative Commons

Prakash chandra Patra,

Pratap Kumar Panigrahi, Anshuman Satpathy

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104290 - 104290

Published: March 1, 2025

Language: Английский

Citations

0
Renewable energy curtailment: a problem or an opportunity? DOI Creative Commons
Mohamd Laimon

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104925 - 104925

Published: April 1, 2025

Language: Английский

Citations

0
Stability analysis framework for isolated microgrids with energy resources integrated using voltage source converters DOI Creative Commons
C. García-Ceballos, Sandra Pérez‐Londoño, Juan José Mora Flórez

et al.

Results in Engineering, Journal Year: 2023, Volume and Issue: 19, P. 101252 - 101252

Published: June 22, 2023

Integrating distributed energy resources (DERs) enables the development of microgrids, which opens up a broad field study. However, dynamic behaviour these presents challenges in new electric systems. The stability systems with high penetration DERs is developing research topic, where enhancement strategies are typically focused on specific issues, while general approaches often present several without testing scenarios. In this document, an analysis issues presented and tested islanded system based CIGRE low voltage benchmark. conclusions obtained noteworthy propose further discussion research, to enhance understanding future study microgrid only converter-integrated resources.

Language: Английский

Citations

9