Multi-Time-Scale Irrigation Optimization Approach for the Combined Agriculture and Power System

Yiming Wang; Zhongkai Yi; Ying Xu; Zhenghong Tu; Shuang Rong; Yanlong Liu

doi:10.1007/978-981-95-7334-9_17

Multi-Time-Scale Irrigation Optimization Approach for the Combined Agriculture and Power System

Yiming Wang
, Zhongkai Yi^*
, Ying Xu
, Zhenghong Tu
, Shuang Rong
, Yanlong Liu

^*Corresponding author for this work

School of Electrical Engineering and Automation, Harbin Institute of Technology
State Key Laboratory of Smart Farm Technologies and Systems
Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The concentrated electricity demand of large-scale irrigation load causes a significant voltage drop in the power system, which severely affects the normal order of agricultural production. This paper first derives the mathematical model from irrigation electricity to crop yield. On the basis of this, a multi-time-scale economic operation approach for the combined agriculture and power (CAP) system considering large-scale irrigation load is proposed, which is composed of a day-ahead dispatch model serving for daily operation and a long-term planning model serving for the whole irrigation season. In the day-ahead irrigation dispatch model, economic dispatch model that meets long-term irrigation tasks is formed, which considers the optimization of key flexible resources such as reservoir and irrigation load, along with constraints of system security. In the long-term irrigation planning model, this study integrates affinity propagation clustering with the crop growth cycle demand, and formulates irrigation planning model based on typical scenarios, covering the entire production season of crops. Numerical simulation results reveal that the proposed approach improves the operation security and ensure the agricultural production of the combined agriculture and power system.

Original language	English
Title of host publication	The Proceedings of the 20th Annual Conference of China Electrotechnical Society
Editors	Qingxin Yang, Dianguo Xu, Xuerong Ye, Qiuyue Nie, Yueshi Guan
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	161-175
Number of pages	15
ISBN (Print)	9789819573332
DOIs	https://doi.org/10.1007/978-981-95-7334-9_17
State	Published - 2026
Externally published	Yes
Event	20th Annual Conference of China Electrotechnical Society, ACCES 2025 - Harbin, China Duration: 19 Sep 2025 → 21 Sep 2025

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1564 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	20th Annual Conference of China Electrotechnical Society, ACCES 2025
Country/Territory	China
City	Harbin
Period	19/09/25 → 21/09/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger

Keywords

Combined agriculture and power system
day-ahead dispatch
irrigation load
long-term planning
multi-time-scale operation

Access to Document

10.1007/978-981-95-7334-9_17

Cite this

Wang, Y., Yi, Z., Xu, Y., Tu, Z., Rong, S., & Liu, Y. (2026). Multi-Time-Scale Irrigation Optimization Approach for the Combined Agriculture and Power System. In Q. Yang, D. Xu, X. Ye, Q. Nie, & Y. Guan (Eds.), The Proceedings of the 20th Annual Conference of China Electrotechnical Society (pp. 161-175). (Lecture Notes in Electrical Engineering; Vol. 1564 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-95-7334-9_17

Wang, Yiming ; Yi, Zhongkai ; Xu, Ying et al. / Multi-Time-Scale Irrigation Optimization Approach for the Combined Agriculture and Power System. The Proceedings of the 20th Annual Conference of China Electrotechnical Society. editor / Qingxin Yang ; Dianguo Xu ; Xuerong Ye ; Qiuyue Nie ; Yueshi Guan. Springer Science and Business Media Deutschland GmbH, 2026. pp. 161-175 (Lecture Notes in Electrical Engineering).

@inproceedings{057c195340884847be057f11d74267e3,

title = "Multi-Time-Scale Irrigation Optimization Approach for the Combined Agriculture and Power System",

abstract = "The concentrated electricity demand of large-scale irrigation load causes a significant voltage drop in the power system, which severely affects the normal order of agricultural production. This paper first derives the mathematical model from irrigation electricity to crop yield. On the basis of this, a multi-time-scale economic operation approach for the combined agriculture and power (CAP) system considering large-scale irrigation load is proposed, which is composed of a day-ahead dispatch model serving for daily operation and a long-term planning model serving for the whole irrigation season. In the day-ahead irrigation dispatch model, economic dispatch model that meets long-term irrigation tasks is formed, which considers the optimization of key flexible resources such as reservoir and irrigation load, along with constraints of system security. In the long-term irrigation planning model, this study integrates affinity propagation clustering with the crop growth cycle demand, and formulates irrigation planning model based on typical scenarios, covering the entire production season of crops. Numerical simulation results reveal that the proposed approach improves the operation security and ensure the agricultural production of the combined agriculture and power system.",

keywords = "Combined agriculture and power system, day-ahead dispatch, irrigation load, long-term planning, multi-time-scale operation",

author = "Yiming Wang and Zhongkai Yi and Ying Xu and Zhenghong Tu and Shuang Rong and Yanlong Liu",

note = "Publisher Copyright: {\textcopyright} Beijing Paike Culture Commu. Co., Ltd. 2026.; 20th Annual Conference of China Electrotechnical Society, ACCES 2025 ; Conference date: 19-09-2025 Through 21-09-2025",

year = "2026",

doi = "10.1007/978-981-95-7334-9\_17",

language = "英语",

isbn = "9789819573332",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "161--175",

editor = "Qingxin Yang and Dianguo Xu and Xuerong Ye and Qiuyue Nie and Yueshi Guan",

booktitle = "The Proceedings of the 20th Annual Conference of China Electrotechnical Society",

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}

Wang, Y, Yi, Z , Xu, Y , Tu, Z, Rong, S & Liu, Y 2026, Multi-Time-Scale Irrigation Optimization Approach for the Combined Agriculture and Power System. in Q Yang, D Xu, X Ye, Q Nie & Y Guan (eds), The Proceedings of the 20th Annual Conference of China Electrotechnical Society. Lecture Notes in Electrical Engineering, vol. 1564 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 161-175, 20th Annual Conference of China Electrotechnical Society, ACCES 2025, Harbin, China, 19/09/25. https://doi.org/10.1007/978-981-95-7334-9_17

Multi-Time-Scale Irrigation Optimization Approach for the Combined Agriculture and Power System. / Wang, Yiming; Yi, Zhongkai ; Xu, Ying et al.
The Proceedings of the 20th Annual Conference of China Electrotechnical Society. ed. / Qingxin Yang; Dianguo Xu; Xuerong Ye; Qiuyue Nie; Yueshi Guan. Springer Science and Business Media Deutschland GmbH, 2026. p. 161-175 (Lecture Notes in Electrical Engineering; Vol. 1564 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-Time-Scale Irrigation Optimization Approach for the Combined Agriculture and Power System

AU - Wang, Yiming

AU - Yi, Zhongkai

AU - Xu, Ying

AU - Tu, Zhenghong

AU - Rong, Shuang

AU - Liu, Yanlong

N1 - Publisher Copyright: © Beijing Paike Culture Commu. Co., Ltd. 2026.

PY - 2026

Y1 - 2026

N2 - The concentrated electricity demand of large-scale irrigation load causes a significant voltage drop in the power system, which severely affects the normal order of agricultural production. This paper first derives the mathematical model from irrigation electricity to crop yield. On the basis of this, a multi-time-scale economic operation approach for the combined agriculture and power (CAP) system considering large-scale irrigation load is proposed, which is composed of a day-ahead dispatch model serving for daily operation and a long-term planning model serving for the whole irrigation season. In the day-ahead irrigation dispatch model, economic dispatch model that meets long-term irrigation tasks is formed, which considers the optimization of key flexible resources such as reservoir and irrigation load, along with constraints of system security. In the long-term irrigation planning model, this study integrates affinity propagation clustering with the crop growth cycle demand, and formulates irrigation planning model based on typical scenarios, covering the entire production season of crops. Numerical simulation results reveal that the proposed approach improves the operation security and ensure the agricultural production of the combined agriculture and power system.

AB - The concentrated electricity demand of large-scale irrigation load causes a significant voltage drop in the power system, which severely affects the normal order of agricultural production. This paper first derives the mathematical model from irrigation electricity to crop yield. On the basis of this, a multi-time-scale economic operation approach for the combined agriculture and power (CAP) system considering large-scale irrigation load is proposed, which is composed of a day-ahead dispatch model serving for daily operation and a long-term planning model serving for the whole irrigation season. In the day-ahead irrigation dispatch model, economic dispatch model that meets long-term irrigation tasks is formed, which considers the optimization of key flexible resources such as reservoir and irrigation load, along with constraints of system security. In the long-term irrigation planning model, this study integrates affinity propagation clustering with the crop growth cycle demand, and formulates irrigation planning model based on typical scenarios, covering the entire production season of crops. Numerical simulation results reveal that the proposed approach improves the operation security and ensure the agricultural production of the combined agriculture and power system.

KW - Combined agriculture and power system

KW - day-ahead dispatch

KW - irrigation load

KW - long-term planning

KW - multi-time-scale operation

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U2 - 10.1007/978-981-95-7334-9_17

DO - 10.1007/978-981-95-7334-9_17

M3 - 会议稿件

AN - SCOPUS:105039299523

SN - 9789819573332

T3 - Lecture Notes in Electrical Engineering

SP - 161

EP - 175

BT - The Proceedings of the 20th Annual Conference of China Electrotechnical Society

A2 - Yang, Qingxin

A2 - Xu, Dianguo

A2 - Ye, Xuerong

A2 - Nie, Qiuyue

A2 - Guan, Yueshi

PB - Springer Science and Business Media Deutschland GmbH

T2 - 20th Annual Conference of China Electrotechnical Society, ACCES 2025

Y2 - 19 September 2025 through 21 September 2025

ER -

Wang Y, Yi Z , Xu Y , Tu Z, Rong S, Liu Y. Multi-Time-Scale Irrigation Optimization Approach for the Combined Agriculture and Power System. In Yang Q, Xu D, Ye X, Nie Q, Guan Y, editors, The Proceedings of the 20th Annual Conference of China Electrotechnical Society. Springer Science and Business Media Deutschland GmbH. 2026. p. 161-175. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-95-7334-9_17

Multi-Time-Scale Irrigation Optimization Approach for the Combined Agriculture and Power System

Abstract

Publication series

Conference

UN SDGs

Keywords

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