Day-ahead interval optimization of electricity-gas-heat integrated energy system considering uncertainty of wind and PV

DU Yongfeng

doi:10.19666/j.rlfd.202108154

English

您当前的位置：

首页 >

文章列表页 >

Day-ahead interval optimization of electricity-gas-heat integrated energy system considering uncertainty of wind and PV

Thermal Power Generation Vol. 51, Issue 2, Pages: 85-91(2022)

更新时间：2025-05-30

- Day-ahead interval optimization of electricity-gas-heat integrated energy system considering uncertainty of wind and PV
- 作者机构：
  
  湛江科技学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202108154
  CLC： TK01;TM73
- Published：2022
- 稿件说明：
移动端阅览
DU Yongfeng. Day-ahead interval optimization of electricity-gas-heat integrated energy system considering uncertainty of wind and PV[J]. Thermal Power Generation, 2022, 51(2): 85-91.
DOI：

DU Yongfeng. Day-ahead interval optimization of electricity-gas-heat integrated energy system considering uncertainty of wind and PV[J]. Thermal Power Generation, 2022, 51(2): 85-91. DOI： 10.19666/j.rlfd.202108154.

摘要

为探究风电、光伏出力的不确定性及储能系统对电气热综合能源系统运行的影响，建立了考虑风电与光伏出力不确定性的电气热综合能源系统日前区间优化模型，利用区间数表示电气热综合能源系统中风电、光伏出力的不确定性，并考虑电网络、天然气网络及热网络等不同设备的上、下限约束。将该模型转化为混合整数线性规划模型，并通过区间线性规划方法求解。利用某园区电气热综合能源系统，对夏、冬季典型日风电、光伏出力不同不确定性程度及储能设备的作用进行了定量与定性仿真分析，验证了所提模型的准确性、经济性及有效性。

Abstract

To study the influences of the uncertainty of wind power output and photovoltaic(PV) power output as well as the energy storage system on operation performance of electricity-gas-heat integrated energy system(IES)

a day-ahead interval optimization model for the electricity-gas-heat IES is established considering the uncertainty of wind power output and PV power output and the influence of energy storage system. The model uses the interval number to represent the uncertainty of wind power and PV power in the electricity-gas-heat IES

and considers the upper and lower limits constraints of different equipment in the electricity network

gas network and heat network.The model is transformed into a mixed integer linear programming model and solved by the interval linear programming method. Finally

for a park electro-gas-heat IES

quantitative and qualitative simulation analysis is carried out for a typical day in summer and winter

and the result verifies the accuracy

economy and effectiveness of the proposed model.

关键词

Keywords

references

Views

512

下载量

CSCD

Alert me when the article has been cited

提交

Publicity Resources

ANALYSIS OF ACCURACY FOR STEAM FLOW RATE MEASUREMENT

Interval master-slave game optimal scheduling of virtual power plant with electric vehicle

Day-ahead scheduling strategy optimization of electric-thermal integrated energy system for improvement of new energy consumption

Deep peak shaving method of electrolytic aluminum load cooperating with thermal power and energy storage system based on Wasserstein distance distribution robust

Double-layer optimal allocation of heat storage capacity in combined solar thermal-wind power generation system

Related Author

LI Zhong-liangCentral Training Department

JIA Yibo

WANG Han

BU Feifei

HAN Ding

BAI Hongkun

WANG Yuanyuan

HUA Yuanpeng

Related Institution

Hunan Electric Power Company

State Grid Henan Electric Power Company Economic and Technical Research Institute

College of Electronic Information Engineering, Hebei University

Hebei Province Smart Grid Distribution Technology Innovation Center (Shijiazhuang Kelin Electric Co., Ltd.)

Renewable Energy Generation and Grid Control Engineering Research Center of the School of Electrical Engineering, Xinjiang University, Ministry of Education

AI问答

⁰