A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response DOI
Xinfu Pang, Y. Wang, Shengxiang Yang

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 243, P. 122875 - 122875

Published: Dec. 14, 2023

Language: Английский

Optimal Configuration Method of Energy Routers in Active Distribution Network Considering Demand Response DOI Open Access

Junqing Jia,

Tin‐Yu Wu, Jia Zhou

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(4), P. 1248 - 1248

Published: April 20, 2025

The energy router (ER) is a crucial component in smart distribution networks, and its optimal configuration essential for enhancing the operational efficiency, economy, security of grid. However, existing research rarely considers both location sizing costs ER conjunction with flexible load demand response. Therefore, this paper proposes an method active incorporating First, to balance comprehensive characteristics network throughout year computational improved K-means clustering algorithm employed construct multiple representative scenarios. Then, bi-level programming model established sizing, considering upper level optimizes capacity minimize overall cost network. lower focuses on multi-objective optimization, including peak shaving, valley filling, losses, voltage deviations, achieve scheduling within Finally, particle swarm optimization solve model. Simulation results based IEEE 33-node system demonstrate that shaving filling rate after integration into at least 9.19%, it 14.35% when combined Concurrently, enhances network’s ability absorb renewable energy, reduces improves power quality.

Language: Английский

Citations

0
Toward a QoS Improvement in IoT by Combining Fuzzy Logic and Machine Learning Algorithms DOI
Laghouiter Oussama,

Myyara Marouane,

Anouar Darif

et al.

Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 327 - 332

Published: Jan. 1, 2025

Language: Английский

Citations

0
Optimized Configuration of Distributed Power Generation Based on Multi-Stakeholder and Energy Storage Synergy DOI Creative Commons
Jing Cheng, Lixin Wang, Ting Pan

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 129773 - 129787

Published: Jan. 1, 2023

Traditional distributed generation (DG) planning often only considers a single stakeholder and does not take into account demand response, which fails to the interests of various stakeholders in market ignores regulation capabilities load energy storage. Aiming at above problems, this article proposes an optimal power allocation model that takes operators, distribution companies users, as well response. Carbon trading mechanism green certificate are introduced carbon emissions during transmission flexibility resources on storage side establish multi-principal environmental cost response; Technique for Order Preference by Similarity Ideal Solution (TOPSIS) comprehensive evaluation idea maximise benefits each subject, adopt second-order cone relaxation technique solution. The case analysis results show proposed can effectively balance improve income subject. Compared with traditional model, consider maximizes DG improved 43.7 %, consumption capacity is improved. It promotes emission reduction reduces 1,243.05 t, verifies effectiveness model.

Language: Английский

Citations

10
Stochastic energy management of large industrial-scale aquaponics considering robust optimization-based demand response program DOI

Yingying Zheng,

Wenjing Zhao, Mónika Varga

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 374, P. 123982 - 123982

Published: July 26, 2024

Language: Английский

Citations

3
A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response DOI
Xinfu Pang, Y. Wang, Shengxiang Yang

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 243, P. 122875 - 122875

Published: Dec. 14, 2023

Language: Английский

Citations

8