Short-term peak-shaving scheduling of a hydropower-dominated hydro-wind-solar photovoltaic hybrid system considering a shared multienergy coupling transmission channel

Hydropower-dominated hydro-wind-solar photovoltaic (PV) hybrid systems (HHWSHSs) are promising solutions for promoting the integration of wind and solar PV power (WSP). However, the characteristics of these systems, involving multiple-channel transmission and shared multienergy coupling transmission...

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Published in:Applied energy Vol. 372; p. 123786
Main Authors: Zhao, Hongye, Liao, Shengli, Ma, Xiangyu, Fang, Zhou, Cheng, Chuntian, Zhang, Zheng
Format: Journal Article
Language:English
Published: Elsevier Ltd 15.10.2024
Subjects:
absorption
China
energy
fuzzy logic
Hydropower-dominated hydro-wind-solar PV hybrid system
Multiple-channel transmission
power plants
Shared multienergy coupling transmission channel
Short-term peak shaving
solar energy
solar farms
statistical analysis
Virtual hydropower unit
water power
wind
wind power
China
Multiple-channel transmission
Hydropower-dominated hydro-wind-solar PV hybrid system
Short-term peak shaving
Shared multienergy coupling transmission channel
Virtual hydropower unit
ISSN:0306-2619
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Summary:Hydropower-dominated hydro-wind-solar photovoltaic (PV) hybrid systems (HHWSHSs) are promising solutions for promoting the integration of wind and solar PV power (WSP). However, the characteristics of these systems, involving multiple-channel transmission and shared multienergy coupling transmission channels (TCs), pose significant challenges for hydropower plants and units, especially for short-term peak shaving (STPS) scheduling. In this paper, a peak-shaving framework is constructed to address the modeling challenge and optimization difficulty of HHWSHS, with the premise of adequate absorption of WSP. First, WSP plants that share the same TC are assumed to be an aggregated wind power plant (AWP) and an aggregated solar PV power plant (ASP), and kernel density estimation is adopted to quantify the forecast error distribution of the AWP and ASP. Then, to decrease the scale of the problem, a recombination strategy for hydropower units based on set theory is proposed to consolidate all hydropower units that share the same TC within a single plant into a virtual hydropower unit and further recouple the hydraulic and electrical transmission connections between virtual hydropower units. Finally, differentiated TC chance constraints are introduced to accurately compensate for the forecast errors of the AWP and ASP by fully exploiting the flexibility of hydropower, and the STPS scheduling model is cast as a mixed-integer linear programming (MILP) model that is computationally tractable. The feasibility and effectiveness of the proposed framework are verified for a real-world HHWSHS in Southwest China. The results indicate that hydropower can adequately leverage the regulation ability to effectively reduce the power curtailment rate by 4.41% and 8.29% by dynamically balancing WSP forecast errors during the wet and dry seasons, respectively. •A peak-shaving framework addresses the modeling and optimization challenges of HHWSHS.•Use non-parametric kernel density estimation to quantify WSP forecast errors.•A recombination strategy for hydropower units based on set theory is proposed.•The differentiated TC chance constraints accurately compensate for forecast errors.
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ISSN:0306-2619
DOI:10.1016/j.apenergy.2024.123786