Cited by Shared energy storage assists the grid-connected two-layer online optimization control strategy of wind farm groups

Multi-time scale robust optimization for integrated multi-energy system considering the internal coupling relationship of photovoltaic battery swapping-charging-storage station DOI

Zhang Jun-xia,

Xingmei Li,

Qinliang Tan

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 109, P. 115109 - 115109

Published: Jan. 5, 2025

Language: Английский

Citations

Predicting Energy Consumption of an Educational Building Using Group Method of Data Handling Based on Weather Data DOI

Mehran Kazemi Chahardeh,

Masoud Afshari,

Ali Maboudi Reveshti

et al.

International Journal of Thermofluids, Journal Year: 2025, Volume and Issue: unknown, P. 101067 - 101067

Published: Jan. 1, 2025

Language: Английский

Citations

Two-stage rolling optimization operation strategy for microgrid considering BESU state DOI

Gang Zhang, Yichen Li, Tuo Xie

et al.

International Journal of Electrical Power & Energy Systems, Journal Year: 2025, Volume and Issue: 165, P. 110497 - 110497

Published: Feb. 1, 2025

Language: Английский

Citations

Gas−Hydro Coordinated Peaking Considering Source-Load Uncertainty and Deep Peaking DOI

Chong Wu,

Tong Xu,

Shujun Yang

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1234 - 1234

Published: March 3, 2025

Considering the power demand in high-altitude special environmental areas and peak-regulation issues system caused by uncertainties associated with wind photovoltaic as well load, a gas–hydro coordinated peak-shaving method that considers source-load uncertainty is proposed. Firstly, based on regulation-related characteristics of hydropower gas power, gas−hydro operation mode Secondly, operational risk quantified Conditional Value-at-Risk theory. Then, cost deep peak shaving connection gas-fired generation estimated, model considering constraints established. Finally, specific example verifies proposed can effectively improve economy system. The total profit increased 36.03%, indicating this enhances achieves better effects.

Language: Английский

Citations

Risk‐Based Expansion Planning of Regional Energy Networks DOI

Mohammad DehghaniSanij,

Ahmad Mirzaei, Amjad Anvari‐Moghaddam

et al.

Energy Science & Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 6, 2025

ABSTRACT Reliable power supply provision for customers is very important electrical energy providers. The emergence of regional networks (RENs), and electricity market developments add to the above challenges. RENs consist natural gas as inputs storage systems (ESSs), combined heat (CHP) systems, thermal storages (TESs), boilers, photovoltaics (PVs) wind turbines (WTs) resources. In this paper, a risk‐based expansion planning model developed considering operation investment costs. PVs WTs generation, demand response (DR), failures tie switches between REN distribution are defined uncertainties. Reliability index formulated Probability‐Tree tool used scenario generation. mentioned optimization problem solved using genetic algorithm (GA). We use 25‐Bus IEEE standard network verify efficiency performance proposed model. Two connected test system simulation results obtained two case studies. Simulation show that if probability failure considered, costs increased by about 92% in horizon.

Language: Английский

Citations

Optimal management of coupled hydrogen-electricity energy systems at ports by multi-time scale scheduling DOI

Daogui Tang, P. T. Ge, Chengqing Yuan

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 391, P. 125885 - 125885

Published: April 15, 2025

Language: Английский

Citations

An Hourly Energy Management Strategy Based on the Development of a System Dynamics model for Microgrid Systems DOI

Encieh Baqeri,

Ahamadreza Tahsiri,

Turaj Amraee

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105111 - 105111

Published: April 1, 2025

Language: Английский

Citations

A Novel Hierarchical Optimal Scheduling and Coordination Control Method for Microgrid Based on Multi-Energy Complementarity DOI

Li Zhang, Zeyuan Ma,

Chenhao Jia

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(9), P. 1829 - 1829

Published: April 29, 2025

To address the uncertainty of intermittent energy sources and enhance economic efficiency operational performance microgrids, this paper proposes a novel three-layer coupled microgrid scheduling model based on principles predictive control, optimized solved using an improved dung beetle algorithm. Firstly, by comprehensively considering time-varying electricity prices pollution protection costs, optimizes mitigates impact uncertain factors in day-ahead scheduling, thereby constructing new framework. Secondly, improvements to traditional algorithm, including population initialization, rolling behavior, foraging are validated through simulations, demonstrating enhanced accuracy convergence speed. Furthermore, algorithm is utilized optimize layer, determining optimal controls within control Finally, comparisons, analysis, effectiveness experiments, study demonstrates that proposed significantly improve environmental economics microgrids while enhancing system controllability stability.

Language: Английский

Citations

A novel energy management system based on two-level hierarchical economic model predictive control for use in microgrid control DOI

F.J. Vivas, Alberto Pajares, Xavier Blasco

et al.

Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 101027 - 101027

Published: April 1, 2025

Language: Английский

Citations

Techno-Economic Analysis of Decentralized Residential Microgrid with Optimal Prosumer Selection DOI

Jithin K. Jose,

M R Sindhu,

Vivek Mohan

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 65403 - 65417

Published: Jan. 1, 2024

Language: Английский

Citations