[Oral Presentation]Day-ahead optimal dispatch of integrated energy system considering wind power forecasting and integrated demand response

Day-ahead optimal dispatch of integrated energy system considering wind power forecasting and integrated demand response

ID：136 Submission ID：1746 View Protection：ATTENDEE Updated Time：2020-10-29 10:26:38 Hits：242 Oral Presentation

Start Time：2020-11-04 11:15 （Asia/Shanghai）

Duration：15min

Session：[A] Power System » [A4] Session 21 and Session 26

Video No Permission Presentation File

Tips: The file permissions under this presentation are only for participants. You have not logged in yet and cannot view it temporarily.

Abstract

Due to natural conditions in northern China, heat power is the main energy supply, and there is a large proportion of wind power connected to the grid. During the heating period in winter, combined heat and power (CHP) unit operates in the “determining power generation by heat” mode, which coincides with the time when wind power is abundant, resulting in serious wind abandonment in the system. Aiming at the uncertainty of wind power output, this paper uses Autoregressive Moving Average model (ARMA) model and Latin hypercube sampling to generate a large number of scenes, and K-means clustering algorithm to form typical scene sets. Considering the structure of the distribution network and the gas network, a multi-energy flow calculation model is established. Based on the energy hub model, a day-ahead optimal dispatch model of the Electricity-Gas-Heat-Cooling Integrated Energy System (EGHC-IES) is established, taking into account the comprehensive demand response on the user side, wind power output forecast and energy storage. The results of the case studies shows that the optimized dispatching solution can promote the consumption of renewable energy and improve energy efficiency.

Keywords

EGHC-IES, energy hub model, P2G, multi-energy flow calculation, demand response, energy storage

Speaker

Shuhe Yan

Student Xi'an Jiaotong University

Submission Author

Shaoqi Yu Xi'an Jiaotong University；School of Electronic Engineering

Shuhe Yan Xi'an Jiaotong University

Xingyang Liu Xi'an Jiaotong University

Bin Liu Xi'an Jiaotong University

Chang Xiong Xi'an Jiaotong University

Jiachen Liu Xi'an Jiaotong University