Two-stage multi-objective framework for optimal operation of modern distribution network considering demand response program DOI Creative Commons
Mohamed Elshenawy, Abdalla Mohamed, Ahmed Ali

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 6, 2025

Abstract To improve the inadequate reliability of grid that has led to a worsening energy crisis and environmental issues, comprehensive research on new clean renewable efficient, cost-effective, eco-friendly management technologies is essential. This requires creation advanced systems enhance system optimize efficiency. Demand-side are superior solution for multiple reasons. Firstly, they empower consumers actively oversee regulate their consumption, resulting in substantial cost savings by minimizing usage during peak hours enhancing overall The Demand Response Program (DRP) optimal power sharing have gained significant attention provide technical economic benefits, while require an efficient operation framework. Therefore, two-stage framework proposed multi-objective distribution network with several generation resources. first stage applies DRP maximize operator’s (DNO) profit optimizing common incentive rate all participate individual curtailed each consumer. In addition consumer participates which field demand side management. second achieves among resources, considering objectives incorporating modified load stage. problem formulated reduce losses, voltage deviation, total operational cost, gas emissions, stability index. optimized using combination technique order preference similarity ideal (TOPSIS) elephant herding optimization (EHO) technique. validated IEEE 33-bus incorporates photovoltaic system, diesel generators, wind system. based provides response compared reduces losses 38.13%, 9.468%, emission 5.9%.

Language: Английский

An optimization on an integrated energy system of combined heat and power, carbon capture system and power to gas by considering flexible load DOI
Maozhi Chen, Hao Lü,

Xiqiang Chang

et al.

Energy, Journal Year: 2023, Volume and Issue: 273, P. 127203 - 127203

Published: March 15, 2023

Language: Английский

Citations

116

A review of the applications of artificial intelligence in renewable energy systems: An approach-based study DOI
Mersad Shoaei, Younes Noorollahi, Ahmad Hajinezhad

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 306, P. 118207 - 118207

Published: March 16, 2024

Language: Английский

Citations

52

Optimal dispatch for cross-regional integrated energy system with renewable energy uncertainties: A unified spatial-temporal cooperative framework DOI
Zhen-Wei Zhang, Chengfu Wang, Qiuwei Wu

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 130433 - 130433

Published: Jan. 1, 2024

Language: Английский

Citations

23

A two-stage optimal scheduling model of integrated energy system based on CVaR theory implementing integrated demand response DOI
Wei Fan, Zhongfu Tan,

Fanqi Li

et al.

Energy, Journal Year: 2022, Volume and Issue: 263, P. 125783 - 125783

Published: Oct. 27, 2022

Language: Английский

Citations

64

Multi-objective optimization of integrated energy system considering installation configuration DOI

Yiyang Qiao,

Fan Hu, Wen Xiong

et al.

Energy, Journal Year: 2022, Volume and Issue: 263, P. 125785 - 125785

Published: Oct. 19, 2022

Language: Английский

Citations

54

Integrated optimization of a regional integrated energy system with thermal energy storage considering both resilience and reliability DOI

Hongbo Ren,

Zipei Jiang,

Qiong Wu

et al.

Energy, Journal Year: 2022, Volume and Issue: 261, P. 125333 - 125333

Published: Sept. 1, 2022

Language: Английский

Citations

50

Nash bargaining based collaborative energy management for regional integrated energy systems in uncertain electricity markets DOI
Yubin Wang, Yanchong Zheng, Qiang Yang

et al.

Energy, Journal Year: 2023, Volume and Issue: 269, P. 126725 - 126725

Published: Jan. 20, 2023

Language: Английский

Citations

36

Optimal planning of an economic and resilient district integrated energy system considering renewable energy uncertainty and demand response under natural disasters DOI

Hongbo Ren,

Zipei Jiang,

Qiong Wu

et al.

Energy, Journal Year: 2023, Volume and Issue: 277, P. 127644 - 127644

Published: April 27, 2023

Language: Английский

Citations

35

Industrial carbon emission efficiency prediction and carbon emission reduction strategies based on multi-objective particle swarm optimization-backpropagation: A perspective from regional clustering DOI

Hongtao Jiang,

Jian Yin,

Danqi Wei

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 906, P. 167692 - 167692

Published: Oct. 10, 2023

Language: Английский

Citations

35

Multi-Objective Optimization Algorithms for a Hybrid AC/DC Microgrid Using RES: A Comprehensive Review DOI Open Access
Chinna Alluraiah Nallolla,

P. Vijayapriya,

C. Dhanamjayulu

et al.

Electronics, Journal Year: 2023, Volume and Issue: 12(4), P. 1062 - 1062

Published: Feb. 20, 2023

Optimization methods for a hybrid microgrid system that integrated renewable energy sources (RES) and supplies reliable power to remote areas, were considered in order overcome the intermittent nature of RESs. The AC/DC was constructed with solar photovoltaic system, wind turbine, battery storage, converter, diesel generator. There is steady increase utilization microgrids; consequently, it necessary solve optimization techniques. Therefore, present study proposed utilizing multi-objective using evolutionary algorithms. In this context, few papers reviewed regarding determine capacity optimal design Here, consisted minimum cost energy, net cost, low operating carbon emissions high fraction. These determined by (MOO) sizing based on grey wolf optimizer (MOGWO) particle swarm (MOPSO). Similarly, different algorithms (MOGA, MOGOA etc.) reduces increases reliability islanded systems.

Language: Английский

Citations

34