Chance-constrained optimal dispatch of integrated electricity and natural gas systems considering medium and long-term electricity transactions

Gang Wu; Yue Xiang; Junyong Liu; Xin Zhang; Shuoya Tang

doi:10.17775/CSEEJPES.2019.00320

欢迎来到能源电力期刊网！

English Version 读者登录期刊登录

您当前的位置：

首页 >

文章列表页 >

Chance-constrained optimal dispatch of integrated electricity and natural gas systems considering medium and long-term electricity transactions

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

- Chance-constrained optimal dispatch of integrated electricity and natural gas systems considering medium and long-term electricity transactions
- Chance-constrained optimal dispatch of integrated electricity and natural gas systems considering medium and long-term electricity transactions
- 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：315-323
- 作者机构：
  
  1. Sichuan University,,, CN,Sichuan,Chengdu
  2. Cranfield University, Cranfield, Central Bedfordshire,GB
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2019.00320
  中图分类号：
- 纸质出版：2019
- 稿件说明：
移动端阅览
Gang Wu, Yue Xiang, Junyong Liu, 等. Chance-constrained optimal dispatch of integrated electricity and natural gas systems considering medium and long-term electricity transactions[J]. 中国电机工程学会电力与能源系统学报(英文), 2019,5(3):315-323.

Gang Wu, Yue Xiang, Junyong Liu, et al. Chance-constrained optimal dispatch of integrated electricity and natural gas systems considering medium and long-term electricity transactions[J]. CSEE Journal of Power and Energy Systems, 2019, 5(3): 315-323.
Gang Wu, Yue Xiang, Junyong Liu, 等. Chance-constrained optimal dispatch of integrated electricity and natural gas systems considering medium and long-term electricity transactions[J]. 中国电机工程学会电力与能源系统学报(英文), 2019,5(3):315-323. DOI： 10.17775/CSEEJPES.2019.00320.

Gang Wu, Yue Xiang, Junyong Liu, et al. Chance-constrained optimal dispatch of integrated electricity and natural gas systems considering medium and long-term electricity transactions[J]. CSEE Journal of Power and Energy Systems, 2019, 5(3): 315-323. DOI： 10.17775/CSEEJPES.2019.00320.

摘要

Abstract

A novel stochastic optimal dispatch model is proposed considering medium and long-term electricity transactions for a wind power integrated energy system using chance constrained programming. The electricity contract decomposition problem is introduced into the day-ahead optimal dispatch plan formulation progress. Considering the case that decomposition results may be not executable in the dispatch plan

a coordinated optimization strategy based on the Lagrange multiplier is proposed to eliminate the non-executable electric quantity. At the same time

the uncertainties and correlation of wind power are considered in the dispatch model

and the original stochastic dispatch problem is transformed into a mixed integer second-order cone programming problem using second-order cone relaxation and sample average approximation approach. Case study results demonstrate the validity of the proposed method.

关键词

Keywords

references

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

Stochastic Economic Dispatch Based Optimal Market Clearing Strategy Considering Flexible Ramping Products Under Wind Power Uncertainties

Data-driven Based Uncertainty Set Modeling Method for Microgrid Robust Optimization with Correlated Wind Power

A day-ahead economic dispatch method considering extreme scenarios based on wind power uncertainty

Two-Stage Stochastic Scheduling of Virtual Power Plant Based on Transactive Control

Preventive-Corrective Control for Static Voltage Stability Under Multiple $N-1$ Contingencies Considering Wind Power Uncertainty