A Scheduling Optimization Model for a Gas-Electricity Interconnected Virtual Power Plant Considering Green Certificates-Carbon Joint Trading and Source-Load Uncertainties DOI

Jinliang Zhang,

ziyi Liu,

yishuo Liu

et al.

Published: Jan. 1, 2024

Language: Английский

Data-driven two-stage robust optimization dispatching model and benefit allocation strategy for a novel virtual power plant considering carbon-green certificate equivalence conversion mechanism DOI
Liwei Ju,

ShuoShuo Lv,

Zheyu Zhang

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 362, P. 122974 - 122974

Published: March 16, 2024

Language: Английский

Citations

21

Short communication: Local electricity-hydrogen market DOI
Pratik Mochi, Kari Espegren, Magnus Korpås

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 116, P. 17 - 22

Published: March 11, 2025

Language: Английский

Citations

2

Artificial Intelligence-Based Expert Prioritizing and Hybrid Quantum Picture Fuzzy Rough Sets for Investment Decisions of Virtual Energy Market in the Metaverse DOI
Пэйдэ Лю, Serhat Yüksel, Hasan Dınçer

et al.

International Journal of Fuzzy Systems, Journal Year: 2024, Volume and Issue: 26(7), P. 2109 - 2131

Published: April 20, 2024

Language: Английский

Citations

8

A bi-level optimization framework for the power-side virtual power plant participating in day-ahead wholesale market as a price-maker considering uncertainty DOI

Qunli Wu,

Chunxiang Li

Energy, Journal Year: 2024, Volume and Issue: 304, P. 132050 - 132050

Published: June 15, 2024

Language: Английский

Citations

5

Optimal bidding strategy for multi-energy virtual power plant participating in coupled energy, frequency regulation and carbon trading markets DOI

Qunli Wu,

C. Li,

Jiayi Bai

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 73, P. 430 - 442

Published: June 10, 2024

Language: Английский

Citations

4

A scheduling optimization model for a gas-electricity interconnected virtual power plant considering green certificates-carbon joint trading and source-load uncertainties DOI

Jinliang Zhang,

Ziyi Liu,

Yishuo Liu

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134470 - 134470

Published: Jan. 1, 2025

Language: Английский

Citations

0

Modeling the Coupling of China’s Multi-timescale Electricity Markets during the Transition towards Decarbonization and Marketization DOI
Peng Wang, Wentao Wang, Kai Jiang

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134938 - 134938

Published: Feb. 1, 2025

Language: Английский

Citations

0

Expanding the economic benefits of waste gasification through carbon and green certificate markets:Optimal bidding strategies in multiple markets DOI

Dongqing Jia,

Xingmei Li,

Qinliang Tan

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134918 - 134918

Published: Feb. 1, 2025

Language: Английский

Citations

0

Market-oriented operational strategy for biomass-geothermal combined power generation and hydrogen production plant DOI
Hong Tan, J. Y. Zhu,

Sumin Guan

et al.

Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 333, P. 119823 - 119823

Published: April 24, 2025

Language: Английский

Citations

0

A coordinated green hydrogen and blue hydrogen trading strategy between virtual hydrogen plant and electro‐hydrogen energy system DOI Creative Commons
Zhiwei Li, Yuze Zhao, Pei Wu

et al.

IET Generation Transmission & Distribution, Journal Year: 2024, Volume and Issue: 18(4), P. 844 - 854

Published: Jan. 25, 2024

Abstract In the hydrogen‐based integrated energy system (HIES), there exists a hydrogen trading market where producers and consumers are distinct stakeholders. Current research in predominantly focuses on high‐cost green (GH), which is not aligned with current trend of utilizing from multiple sources. To address this, this paper proposes strategy between virtual plant (VHP) electro‐hydrogen (EHES) based bi‐level model, considering synergy GH produced electrolyzers blue (BH) derived natural gas HIES. VHP level, objective to maximize profit sales, allowing for determination prices. EHES goal minimize cost supply, leading formulation BH purchasing plans Additionally, incorporates risk‐averse model information gap decision theory (IGDT) account impact wind power output uncertainties level. Subsequently, leveraging Karush–Kuhn–Tucker (KKT) conditions problem transformed into solvable single‐level mathematical program equilibrium constraints (MPEC), non‐linear linearized. The proposed optimization validated through case studies encompassing industrial residential utilization within outcomes confirm rationality demonstrating that, comparison exclusively GH, coordinated can increase by 2.7% reduce costs 8.5%.

Language: Английский

Citations

2