The effect of hydropower bidding strategy on the iberian day-ahead electricity market DOI Creative Commons
Juan Manuel Roldán-Fernández,

Javier Serrano González,

Ángel Gaspar González Rodríguez

et al.

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 55, P. 101517 - 101517

Published: Aug. 30, 2024

Language: Английский

Optimizing renewable energy systems for 100 % clean energy target: A comparative study of solar, hydro, pumped hydro, and battery storage technologies DOI

Zainullah Serat

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 104, P. 114441 - 114441

Published: Nov. 15, 2024

Language: Английский

Citations

11

Deep learning-based demand response for short-term operation of renewable-based microgrids DOI Creative Commons

Sina Samadi Gharehveran,

Kimia Shirini,

Selma Cheshmeh Khavar

et al.

The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 80(18), P. 26002 - 26035

Published: Aug. 18, 2024

This paper introduces a cutting-edge deep learning-based model aimed at enhancing the short-term performance of microgrids by simultaneously minimizing operational costs and emissions in presence distributed energy resources. The primary focus this research is to harness potential demand response programs (DRPs), which actively engage diverse range consumers mitigate uncertainties associated with renewable sources (RES). To facilitate an effective response, study presents novel incentive-based payment strategy packaged as pricing offer. approach incentivizes participate DRPs, thereby contributing overall microgrid optimization. conducts comprehensive comparative analysis evaluating under scenarios without integration DRPs. problem formulated challenging mixed-integer nonlinear programming problem, demanding robust optimization technique for resolution. In regard, multi-objective particle swarm algorithm employed efficiently address intricate problem. showcase efficacy proficiency proposed methodology, real-world smart case chosen representative example. obtained results demonstrate that offer leads significant improvements performance, emphasizing its revolutionize sustainable cost-effective management modern power systems. Key numerical our approach. study, implementation cost reduction 12.5% decrease carbon 14.3% compared baseline DR integration. Furthermore, shows notable increase RES utilization 22.7%, significantly reduces reliance on fossil fuel-based generation.

Language: Английский

Citations

9

Two-stage strategic optimal planning of distributed generators and energy storage systems considering demand response program and network reconfiguration DOI Creative Commons
Saleh Ba-swaimi, Renuga Verayiah, Vigna K. Ramachandaramurthy

et al.

Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: 24, P. 100766 - 100766

Published: Oct. 1, 2024

Language: Английский

Citations

9

Economic Management of Microgrid Using Flexible Non-Linear Load Models Based on Price-Based Demand Response Strategies DOI Creative Commons
Bishwajit Dey, Gulshan Sharma, Pitshou N. Bokoro

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102993 - 102993

Published: Sept. 1, 2024

Language: Английский

Citations

7

A distributionally robust optimization approach of multi-park integrated energy systems considering shared energy storage and Uncertainty of Demand Response DOI

Zechen Wang,

Zhao Liu, Yuchong Huo

et al.

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 238, P. 111116 - 111116

Published: Oct. 5, 2024

Language: Английский

Citations

4

An multi-timescale optimization strategy for integrated energy system considering source load uncertainties DOI Creative Commons
Ming Wang, Baorui Zhang,

B.L. Su

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 5083 - 5095

Published: Nov. 9, 2024

Language: Английский

Citations

4

Energy exchange optimization among multiple geolocated microgrids: A coalition formation approach for cost reduction DOI

Cláudio A.C. Cambambi,

Luciane Neves Canha, Maurício Sperandio

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 379, P. 124902 - 124902

Published: Nov. 22, 2024

Language: Английский

Citations

4

Double-layer stacking optimization for electricity theft detection considering data incompleteness and intra-class imbalance DOI Creative Commons
Leijiao Ge, Jingjing Li,

Tianshuo Du

et al.

International Journal of Electrical Power & Energy Systems, Journal Year: 2025, Volume and Issue: 165, P. 110461 - 110461

Published: Jan. 21, 2025

Language: Английский

Citations

0

Exploring the role of renewable energy in green job creation and sustainable economic development: An empirical approach DOI Creative Commons
Bin Ma,

Annie Wang

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 58, P. 101642 - 101642

Published: Feb. 14, 2025

Language: Английский

Citations

0

Demand Flexibility of Pre-Cooling Strategies for City-Scale Buildings Through Urban Building Energy Modeling DOI Creative Commons

Anni Xu,

Chengcheng Song, Wen‐Xian Zhao

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(7), P. 1051 - 1051

Published: March 25, 2025

With the increasing demand for electricity, it is causing a growing burden on power grid. In order to alleviate pressure system, series of response (DR) strategies have emerged. This paper studied DR potential and energy flexibility city-scale building clusters under pre-cooling combined with temperature reset. study firstly selected 18 types buildings, each containing three construction years as prototype represent 228,539 buildings in Shenzhen. Then several were developed, after comparative analysis, optimal strategy was obtained applied entire Shenzhen cluster, simulation analysis conducted nine administrative districts. Among them, this used AutoBPS-DR added code based Ruby language automatically generate models finally simulated consumption results by EnergyPlus. The showed that duration 0.5 h change 2 °C both reset strategy. Under strategy, small medium can achieve better results, maximum load reduction 23.89 W/m2 rate 56.82%. Guangming District best results. Finally, peak electricity amount cluster calculated be 0.007 kWh/m2 21.87%, respectively, cost saving percentage 0.081 CNY/m2 15.05%, respectively. From this, seen had shown considerable

Language: Английский

Citations

0