Demand Response Strategy Considering Industrial Loads and Energy Storage with High Proportion of Wind-Power Integration DOI Creative Commons

Chongyi Tian,

Julin Li,

Chunyu Wang

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(22), P. 7335 - 7335

Published: Nov. 17, 2024

To address the challenges of reduced grid stability and wind curtailment caused by high penetration energy, this paper proposes a demand response strategy that considers industrial loads energy storage under wind-power integration. Firstly, adjustable characteristics controllable resources in power system are analyzed, scheduling framework based on systems is established. Building foundation, multi-scenario stochastic programming approach employed to develop day-ahead intra-day multi-time-scale optimization model, aimed at maximizing economic benefits. In fluctuations with temporal resolution, for smoothing variability further proposed. Finally, simulations conducted derive optimal strategies different stages. As verified comparison strategies, proposed can reduce when there sufficient load shedding insufficient power, which effectively reduces operation cost.

Language: Английский

Implicit-integral dynamic optimization based on spatial partitioning and temporal segmentation for the power jumps of renewable energy sources DOI

Zhaoyi Zhang,

Yifeng Lin,

Fan Jian-bin

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 377, P. 124471 - 124471

Published: Sept. 13, 2024

Language: Английский

Citations

1
Potential assessment of coordinated regulation of power load of emerging industrial users based on extreme scenarios of electric vehicle aggregators DOI Creative Commons
Yuanshi Zhang,

Bokang Zou,

Yiheng Liang

et al.

IET Renewable Power Generation, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 8, 2024

Abstract With the advancement of industrial low carbonization and electrification, emerging production technologies have characteristics high‐power consumption significant impact load. In context increasing global climate change, frequent extreme weather events brought serious challenges to balance power electricity in system, a on scheduling users, especially users using electrified technology. First, based representative hydrogen reduction steel plants internet datacentres (IDC), this paper establishes flexible resource optimization model for single considers collaborative relationship between multi‐user resources establish users. Then, considering charging discharging electric vehicles (EV) scenarios, redundant capacity EVs is aggregated by EV aggregators sold established. Finally, effectiveness proposed algorithm verified simulation analysis. Compared with traditional user optimization, can tap potential multi‐agent operation scenarios.

Language: Английский

Citations

1
Demand Response Strategy Considering Industrial Loads and Energy Storage with High Proportion of Wind-Power Integration DOI Creative Commons

Chongyi Tian,

Julin Li,

Chunyu Wang

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(22), P. 7335 - 7335

Published: Nov. 17, 2024

To address the challenges of reduced grid stability and wind curtailment caused by high penetration energy, this paper proposes a demand response strategy that considers industrial loads energy storage under wind-power integration. Firstly, adjustable characteristics controllable resources in power system are analyzed, scheduling framework based on systems is established. Building foundation, multi-scenario stochastic programming approach employed to develop day-ahead intra-day multi-time-scale optimization model, aimed at maximizing economic benefits. In fluctuations with temporal resolution, for smoothing variability further proposed. Finally, simulations conducted derive optimal strategies different stages. As verified comparison strategies, proposed can reduce when there sufficient load shedding insufficient power, which effectively reduces operation cost.

Language: Английский

Citations

0