The Scheduling Research of a Wind-Solar-Hydro Hybrid System Based on a Sand-Table Deduction Model at Ultra-Short-Term Scales

Tianyao Zhang; Weibin Huang; Shijun Chen; Yanmei Zhu; Fuxing Kang; Yerong Zhou; Guangwen Ma

LAPSE

Living Archive for Process Systems Engineering

LAPSE:2023.31016

Published Article

LAPSE:2023.31016

The Scheduling Research of a Wind-Solar-Hydro Hybrid System Based on a Sand-Table Deduction Model at Ultra-Short-Term Scales

Tianyao Zhang, Weibin Huang, Shijun Chen, Yanmei Zhu, Fuxing Kang, Yerong Zhou, Guangwen Ma

April 17, 2023

Establishing a wind-solar-hydro hybrid generation system is an effective way of ensuring the smooth passage of clean energy into the grid, and its related scheduling research is a complex and real-time optimization problem. Compared with the traditional scheduling method, this research investigates and improves the accuracy of the scheduling model and the flexibility of the scheduling strategy. The paper innovatively introduces a sand-table deduction model and designs a real-time adaptive scheduling algorithm to evaluate the source-load matching capability of the hybrid wind-solar-hydro system at ultra-short-term scales, and verifies it through arithmetic examples. The results show that the proposed adaptive sand-table scheduling model can reflect the actual output characteristics of the hybrid wind-solar-hydro system, track the load curve, and suppress the fluctuation of wind and solar energy, with good source-load matching capability.

Record ID

LAPSE:2023.31016

Keywords

hybrid system, load curve, Scheduling, self-adaptive, source-load matching, ultra-short-term

Subject

Planning & Scheduling

Suggested Citation

Zhang T, Huang W, Chen S, Zhu Y, Kang F, Zhou Y, Ma G. The Scheduling Research of a Wind-Solar-Hydro Hybrid System Based on a Sand-Table Deduction Model at Ultra-Short-Term Scales. (2023). LAPSE:2023.31016

Author Affiliations

Zhang T: State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China
Huang W: State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China
Chen S: State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China
Zhu Y: State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China
Kang F: China Hua’neng Dingbian Renewable Energy Power Generation Company, Yulin 718600, China
Zhou Y: State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China; China Energy Investment Jinsha River Upstream Hydropower Development Company, Chengdu 610065, China
Ma G: State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China

Journal Name

Energies

Volume

16

Issue

7

First Page

3280

Year

2023

Publication Date

2023-04-06