A stochastic MILP model for long-term hydrothermal scheduling considering water resource management

Bo Tong; Qiaozhu Zhai; Xiaohong Guan

A stochastic MILP model for long-term hydrothermal scheduling considering water resource management

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University

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

1 Scopus citations

Abstract

A multistage scenario tree based stochastic model is proposed for long-term hydrothermal scheduling (LHTS) in this paper to hedge against the uncertainties of natural inflows, water demand, grid load and wind power generation. With scenarios reduction, a 3-stage, 81-scenario stochastic tree is established based on stochastic weather condition and net load. In addition, detailed formulations of hydrothermal system and water resource management such as water supply/recession procedure, distributed water usage allocation policy and etc. are also included in the basic nonlinear model. Then the nonlinear functions in the formulation such as thermal generating costs function, hydro power production function, water recession function and reservoir evaporation function are replaced by their piecewise linear equivalents and the stochastic mixed integer linear programming (MILP) formulation is solved by commercial solver CPLEX. The numerical results show that the proposed stochastic MILP model for LHTS is efficient.

Original language	English
Title of host publication	Proceedings of the 32nd Chinese Control Conference, CCC 2013
Publisher	IEEE Computer Society
Pages	2603-2608
Number of pages	6
ISBN (Print)	9789881563835
State	Published - 18 Oct 2013
Event	32nd Chinese Control Conference, CCC 2013 - Xi'an, China Duration: 26 Jul 2013 → 28 Jul 2013

Publication series

Name	Chinese Control Conference, CCC
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	32nd Chinese Control Conference, CCC 2013
Country/Territory	China
City	Xi'an
Period	26/07/13 → 28/07/13

UN SDGs

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

SDG 6 Clean Water and Sanitation

Keywords

Stochastic programming
long-term hydrothermal scheduling
mixed integer linear programming
water resource management

Cite this

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title = "A stochastic MILP model for long-term hydrothermal scheduling considering water resource management",

abstract = "A multistage scenario tree based stochastic model is proposed for long-term hydrothermal scheduling (LHTS) in this paper to hedge against the uncertainties of natural inflows, water demand, grid load and wind power generation. With scenarios reduction, a 3-stage, 81-scenario stochastic tree is established based on stochastic weather condition and net load. In addition, detailed formulations of hydrothermal system and water resource management such as water supply/recession procedure, distributed water usage allocation policy and etc. are also included in the basic nonlinear model. Then the nonlinear functions in the formulation such as thermal generating costs function, hydro power production function, water recession function and reservoir evaporation function are replaced by their piecewise linear equivalents and the stochastic mixed integer linear programming (MILP) formulation is solved by commercial solver CPLEX. The numerical results show that the proposed stochastic MILP model for LHTS is efficient.",

keywords = "Stochastic programming, long-term hydrothermal scheduling, mixed integer linear programming, water resource management",

author = "Bo Tong and Qiaozhu Zhai and Xiaohong Guan",

year = "2013",

month = oct,

day = "18",

language = "英语",

isbn = "9789881563835",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "2603--2608",

booktitle = "Proceedings of the 32nd Chinese Control Conference, CCC 2013",

note = "32nd Chinese Control Conference, CCC 2013 ; Conference date: 26-07-2013 Through 28-07-2013",

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A stochastic MILP model for long-term hydrothermal scheduling considering water resource management. / Tong, Bo; Zhai, Qiaozhu ; Guan, Xiaohong.
Proceedings of the 32nd Chinese Control Conference, CCC 2013. IEEE Computer Society, 2013. p. 2603-2608 6639865 (Chinese Control Conference, CCC).

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

TY - GEN

T1 - A stochastic MILP model for long-term hydrothermal scheduling considering water resource management

AU - Tong, Bo

AU - Zhai, Qiaozhu

AU - Guan, Xiaohong

PY - 2013/10/18

Y1 - 2013/10/18

N2 - A multistage scenario tree based stochastic model is proposed for long-term hydrothermal scheduling (LHTS) in this paper to hedge against the uncertainties of natural inflows, water demand, grid load and wind power generation. With scenarios reduction, a 3-stage, 81-scenario stochastic tree is established based on stochastic weather condition and net load. In addition, detailed formulations of hydrothermal system and water resource management such as water supply/recession procedure, distributed water usage allocation policy and etc. are also included in the basic nonlinear model. Then the nonlinear functions in the formulation such as thermal generating costs function, hydro power production function, water recession function and reservoir evaporation function are replaced by their piecewise linear equivalents and the stochastic mixed integer linear programming (MILP) formulation is solved by commercial solver CPLEX. The numerical results show that the proposed stochastic MILP model for LHTS is efficient.

AB - A multistage scenario tree based stochastic model is proposed for long-term hydrothermal scheduling (LHTS) in this paper to hedge against the uncertainties of natural inflows, water demand, grid load and wind power generation. With scenarios reduction, a 3-stage, 81-scenario stochastic tree is established based on stochastic weather condition and net load. In addition, detailed formulations of hydrothermal system and water resource management such as water supply/recession procedure, distributed water usage allocation policy and etc. are also included in the basic nonlinear model. Then the nonlinear functions in the formulation such as thermal generating costs function, hydro power production function, water recession function and reservoir evaporation function are replaced by their piecewise linear equivalents and the stochastic mixed integer linear programming (MILP) formulation is solved by commercial solver CPLEX. The numerical results show that the proposed stochastic MILP model for LHTS is efficient.

KW - Stochastic programming

KW - long-term hydrothermal scheduling

KW - mixed integer linear programming

KW - water resource management

UR - https://www.scopus.com/pages/publications/84890519439

M3 - 会议稿件

AN - SCOPUS:84890519439

SN - 9789881563835

T3 - Chinese Control Conference, CCC

SP - 2603

EP - 2608

BT - Proceedings of the 32nd Chinese Control Conference, CCC 2013

PB - IEEE Computer Society

T2 - 32nd Chinese Control Conference, CCC 2013

Y2 - 26 July 2013 through 28 July 2013

ER -

A stochastic MILP model for long-term hydrothermal scheduling considering water resource management

Abstract

Publication series

Conference

UN SDGs

Keywords

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