Stochastic dynamic economic dispatch of wind-integrated electricity and natural gas systems considering security risk constraints

Zexing Chen; Gelan Zhu; Yongjun Zhang; Tianyao Ji; Ziwen Liu; Xiaoming Lin; Zexiang Cai

doi:10.17775/CSEEJPES.2019.00150

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Stochastic dynamic economic dispatch of wind-integrated electricity and natural gas systems considering security risk constraints

Special Section Papers | 更新时间：2025-12-18

- Stochastic dynamic economic dispatch of wind-integrated electricity and natural gas systems considering security risk constraints
- Stochastic dynamic economic dispatch of wind-integrated electricity and natural gas systems considering security risk constraints
- 中国电机工程学会电力与能源系统学报(英文) 2019年5卷第3期页码：324-334
- 作者机构：
  
  1. South China University of Technology,,, CN,Guangdong,Guangzhou
  2. Hohai University,,, CN,Jiangsu,Nanjing
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2019.00150
  中图分类号：
- 纸质出版：2019
- 稿件说明：
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Zexing Chen, Gelan Zhu, Yongjun Zhang, 等. Stochastic dynamic economic dispatch of wind-integrated electricity and natural gas systems considering security risk constraints[J]. 中国电机工程学会电力与能源系统学报(英文), 2019,5(3):324-334.

Zexing Chen, Gelan Zhu, Yongjun Zhang, et al. Stochastic dynamic economic dispatch of wind-integrated electricity and natural gas systems considering security risk constraints[J]. CSEE Journal of Power and Energy Systems, 2019, 5(3): 324-334.
Zexing Chen, Gelan Zhu, Yongjun Zhang, 等. Stochastic dynamic economic dispatch of wind-integrated electricity and natural gas systems considering security risk constraints[J]. 中国电机工程学会电力与能源系统学报(英文), 2019,5(3):324-334. DOI： 10.17775/CSEEJPES.2019.00150.

Zexing Chen, Gelan Zhu, Yongjun Zhang, et al. Stochastic dynamic economic dispatch of wind-integrated electricity and natural gas systems considering security risk constraints[J]. CSEE Journal of Power and Energy Systems, 2019, 5(3): 324-334. DOI： 10.17775/CSEEJPES.2019.00150.

摘要

Abstract

As the proportion of wind power generation increases in power systems

it is necessary to develop new ways for wind power accommodation and improve the existing power dispatch model. The power-to-gas technology

which offers a new approach to accommodate surplus wind power

is an excellent way to solve the former. Hence

this paper proposes to involve power-to-gas technology in the integrated electricity and natural gas systems (IEGSs). To solve the latter

on one hand

a new indicator

the scale factor of wind power integration

is introduced into the wind power stochastic model to better describe the uncertainty of grid-connected wind power; on the other hand

for quantizing and minimizing the impact of the uncertainties of wind power and system loads on system security

security risk constraints are established for the IEGS by the conditional value-at-risk method. By considering these two aspects

an MILP formulation of a security-risk based stochastic dynamic economic dispatch model for an IEGS is established

and GUROBI obtained from GAMS is used for the solution. Case studies are conducted on an IEGS consisting of a modified IEEE 39-bus system and the Belgium 20-node natural gas system to examine the effectiveness of the proposed dispatch model.

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