Capacity planning of hydro-wind-solar hybrid power systems considering hydropower forbidden zones

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外文标题：Capacity planning of hydro-wind-solar hybrid power systems considering hydropower forbidden zones

外文摘要：In the capacity planning of hydro-wind-solar power systems(CPHPS),it is crucial to use flexible hydropower to complement the variable wind-solar power.Hydropower units must be operated such that they avoid specific restricted operation zones,that is,forbidden zones(FZs),to avoid the risks associated with hydropower unit vibration.FZs cause limitations in terms of both the hydropower generation and flexible regulation in the hydro-wind-solar power systems.Therefore,it is essential to consider FZs when determining the optimal wind-solar power capacity that can be compensated by the hydropower.This study presents a mathematical model that incorporates the FZ constraints into the CPHPS problem.Firstly,the FZs of the hydropower units are converted into those of the hydropower plants based on set theory.Secondly,a mathematical model was formulated for the CPHPS,which couples the FZ constraints of hydropower plants with other operational constraints(e.g.,power balance constraints,new energy consumption limits,and hydropower generation functions).Thirdly,dynamic programming with successive approximations is employed to solve the proposed model.Lastly,case studies were conducted on the hydro-wind-solar system of the Qingshui River to demonstrate the effectiveness of the proposed model.

外文关键词：

Forbidden zonesHydro-wind-solar power systemsCapacity planningHydropower flexibilitySet theoryDynamic programming with successive approximation

作者：

Zhiyu Yan、Lu Zhang、Fulong Song

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作者单位：

Global Energy Interconnection Development and Cooperation Organization,Beijing 100031,P.R.China

Science and Technology Research Institute,China Three Gorges Corporation,Beijing 100038,P.R.China

关键词：

Forbidden zones Hydro-wind-solar power systems Capacity planning Hydropower flexibility Set theory Dynamic programming with successive approximation

出版年：

2024

DOI：

10.1016/j.gloei.2024.11.002

全球能源互联网(英文)

CSTPCDEI

ISSN：2096-5117

年,卷(期)：2024.7(6)