Net-zero Carbon Emission Oriented Bi-level Optimal Capacity Planning of Integrated Energy System Considering Carbon Capture and Hydrogen Facilities DOI
Xianqing Chen,

Lingfang Yang,

Wei Dong

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 237, P. 121624 - 121624

Published: Oct. 22, 2024

Language: Английский

Multi-objective collaborative operation optimization of park-level integrated energy system clusters considering green power forecasting and trading DOI
Yanbin Li,

Weikun Hu,

Feng Zhang

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135055 - 135055

Published: Feb. 1, 2025

Language: Английский

Citations

0
Optimal Dispatch for Electric-Heat-Gas Coupling Multi-Park Integrated Energy Systems via Nash Bargaining Game DOI Open Access
Xuesong Shao, Yixuan Huang, Meimei Duan

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(2), P. 534 - 534

Published: Feb. 14, 2025

To improve the energy utilization rate and realize low-carbon emission of a park integrated system (PIES), this paper proposes an optimal operation strategy for multiple PIESs. Firstly, electrical power cooperative trading framework PIESs is constructed. Secondly, hydrogen blending mechanism carbon capture power-to-gas joint model are introduced to establish each PIES. Then, based on Nash bargaining game theory, multi-PIES with alternating direction method multipliers algorithm used solve two subproblems. Finally, case studies analysis scene performed. The results show that reduces total cost PIES more effectively compared independent operation. Meanwhile, efficient production keys achieve reduction efficiency increase in

Language: Английский

Citations

0
Optimal Scheduling of Integrated Energy System Based on Carbon Capture–Power to Gas Combined Low-Carbon Operation DOI Open Access
Shumin Sun, Jiawei Xing, Yan Cheng

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(2), P. 540 - 540

Published: Feb. 14, 2025

In this paper, an IES optimal cooperative scheduling method based on a master–slave game is proposed considering carbon emission trading (CET) and capture system (CCS) combined operation with power to gas (P2G). We analysed the behaviour of integrated energy operators (IESO) suppliers (ES) when operating in different states. This paper first introduces structure mathematical model frame. Secondly, mixed integer linear programming particle swarm optimization (MILP–PSO) are used. The final simulation results show that main scenario, IESO ES have income CNY 181,900 279,400, respectively, actual 106.75 tons. overall balanced, middle. provide reference value for users make decisions.

Language: Английский

Citations

0
Coordinated Interaction Strategy of User-Side EV Charging Piles for Distribution Network Power Stability DOI Creative Commons

Juan Zhan,

Mei Huang,

Xiaojia Sun

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(8), P. 1944 - 1944

Published: April 10, 2025

In response to the challenges of imbalanced economic efficiency charging stations caused by disorderly large-scale electric vehicles (EVs), rising electricity expenditure users, and increased risk stable operation power grid, this study designs a user-side vehicle pile resource interaction strategy considering source load clustering enhance economy safety energy management. Firstly, constructing dynamic traffic flow distribution network coupling architecture, bidirectional model between facilities transportation/power systems is established analyze correlation demand road status. Next, an EV discharging price quantify regulation potential under different scenarios. Secondly, combining urban transportation big data prediction networks, high-precision inference spatiotemporal loads can be achieved. Then, multidimensional optimization objective function covering operator revenue, user economy, grid quality constructed, collaborative decision-making established. Finally, IEEE69 node system validated through joint simulation with actual areas, non-dominated sorting genetic algorithm II (NSGA-II) based on reference points used for solution. The results show that proposed NSGA-II increase operating revenue 33.43% while reducing costs voltage deviations 18.9% 68.89%, respectively.

Language: Английский

Citations

0
Economic and stable scheduling strategy for electricity-thermal-hydrogen-gas integrated energy systems based on online MPC under dynamic supply-demand interaction DOI
Xueru Lin, Jing Li, Wei Zhong

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 123111 - 123111

Published: April 1, 2025

Language: Английский

Citations

0
Spatial–temporal scheduling of regional integrated energy systems with stationary-mobile energy storage systems based on improved Lyapunov optimization DOI

Zhuoxin Lu,

Yao Ma, Dong Han

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 122, P. 116665 - 116665

Published: April 18, 2025

Language: Английский

Citations

0
Multi-Energy Load Short-Term Joint Forecasting of Integrated Energy System Based on Lstgn DOI
Yuhang Fan, Qiongbin Lin, Ruochen Huang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

1
A Two-layer Low-carbon Economic Planning Method for Park-level Integrated Energy Systems with Carbon-Energy Synergistic Hub DOI Creative Commons
Yunfei Mu, Haochen Guo,

Zhijun Wu

et al.

Energy and AI, Journal Year: 2024, Volume and Issue: 18, P. 100435 - 100435

Published: Oct. 29, 2024

Language: Английский

Citations

1
Optimised Configuration of Multi-energy Systems Considering the Adjusting Capacity of Communication Base Stations and Risk of Network Congestion DOI
Dongfeng Yang, Xi Wang,

Yong Sun

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133873 - 133873

Published: Nov. 1, 2024

Language: Английский

Citations

1
Research on the Collaborative Operation of Diversified Energy Storage and Park Clusters: A Method Combining Data Generation and a Distributionally Robust Chance-Constrained Operational Model DOI Open Access
Zhuoya Siqin,

Tiantong Qiao,

Ruisheng Diao

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(24), P. 4997 - 4997

Published: Dec. 19, 2024

Energy storage is crucial for enhancing the economic efficiency of integrated energy systems. This paper addresses need flexible resources due to high renewable integration and complexity managing multiple resources. We propose a decentralized collaborative multi-stage distributionally robust scheduling method electric-thermal systems, incorporating mitigate fluctuations. Firstly, we model system with Uncertain parameters renewables are estimated using conditional generative adversarial networks (CGANs), assuming empirical probability distributions. Secondly, given distinct operators electric thermal systems information barriers, develop data-driven chance-constrained optimization (DRCCO). ensures collaboration without compromising security or fairness. Then, introduce an Alternating Direction Method Multipliers (ADMM) algorithm parallel regularization decouple model. approach facilitates rapid solution finding minimal exchange. Finally, numerical examples confirm model’s effectiveness in flexibility ensuring wind power consumption.

Language: Английский

Citations

1