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

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
Bi-Level Coordinated Operation Optimization of Multi-Park Integrated Energy Systems Considering Categorized Demand Response and Uncertainty: A Unified Adaptive Robust Optimization Approach DOI
Yingchao Dong,

Edehong Wuken,

Hongli Zhang

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122331 - 122331

Published: Jan. 1, 2025

Language: Английский

Citations

0
Bi-level optimization and Stackelberg game in multi-integrated energy systems DOI
She-Sheng Xue, Yingchun Wang, Yang Liu

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 111, P. 115356 - 115356

Published: Jan. 15, 2025

Citations

0
Day-ahead and intra-day scheduling of integrated electricity-hydrogen-gas energy system considering spectral risk theory DOI
Jiandong Duan,

Qinxing Tian,

Qi Gao

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135771 - 135771

Published: March 1, 2025

Language: Английский

Citations

0
Two-stage operation strategy for leasing shared energy storage to renewable power producers with bounded rationality DOI
Xutao Han, Xin Fang, Bin Tan

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 123, P. 116729 - 116729

Published: April 25, 2025

Language: Английский

Citations

0
Two-Stage Distributionally Robust Optimal Scheduling for Integrated Energy Systems Considering Uncertainties in Renewable Generation and Loads DOI Creative Commons
Keyong Hu,

Qingqing Yang,

Lei Lu

et al.

Mathematics, Journal Year: 2025, Volume and Issue: 13(9), P. 1439 - 1439

Published: April 28, 2025

To effectively account for the impact of fluctuations in power generation efficiency renewable energy sources such as photovoltaics (PVs) and wind turbines (WTs), well uncertainties load demand within an integrated system (IES), this article develops IES model incorporating units PV, WT, microturbines (MTs), Electrolyzer (EL), Hydrogen Fuel Cell (HFC), along with storage components including batteries heating systems. Furthermore, a response (DR) mechanism is introduced to dynamically regulate supply–demand balance. In modeling uncertainties, utilizes historical data on loads, combined adjustability decision variables, generate large set initial scenarios through Monte Carlo (MC) sampling algorithm. These are subsequently reduced using combination K-means clustering algorithm Simultaneous Backward Reduction (SBR) technique obtain representative scenarios. further manage distributionally robust optimization (DRO) approach introduced. This method uses 1-norm ∞-norm constraints define ambiguity probability distributions, thereby restricting fluctuation range mitigating deviations results, achieving balance between robustness economic process. Finally, solved column constraint algorithm, its effectiveness validated case studies. The MC adopted article, compared Latin hypercube followed by clustering-based scenario reduction, achieves maximum reduction approximately 17.81% total cost. Additionally, results confirm that number generated increases, optimized cost decreases, 1.14%. comprehensive analysis different approaches conducted, demonstrating lie those obtained from stochastic (SO) (RO), balancing conservatism efficiency.

Language: Английский

Citations

0
Master-slave game-based optimal scheduling strategy for integrated energy systems with carbon capture considerations DOI

Limeng Wang,

Yuze Ma, Shuo Wang

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 13, P. 780 - 788

Published: Dec. 26, 2024

Language: Английский

Citations

3
Two-Stage, Three-Layer Stochastic Robust Model and Solution for Multi-Energy Access System Based on Hybrid Game Theory DOI Open Access
Guodong Wu, Xiaohu Li,

Jianhui Wang

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(12), P. 2656 - 2656

Published: Nov. 25, 2024

This paper proposes a two-stage, three-layer stochastic robust model and its solution method for multi-energy access system (MEAS) considering different weather scenarios which are described through scenario probabilities output uncertainties. In the first stage, based on principle of master–slave game, relationship between grid dispatch department (GDD) MEAS is constructed game transaction mechanism analyzed. The GDD establishes pricing that takes into account uncertainty wind power probabilities. second impacts photovoltaic probability uncertainties uncertainties, max–max–min structured established cooperation Nash bargaining principle. A variable alternating iteration algorithm combining Karush–Kuhn–Tucker conditions (KKT) proposed to solve MEAS. direction multipliers (ADMM) used particle swarm (PSO) employed non-convex two-stage model. Finally, effectiveness verified case studies.

Language: Английский

Citations

0
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

Citations

0