A Two-Layer Framework for Quantifying Demand Response Flexibility at Bulk Supply Points

A Two-Layer Framework for Quantifying Demand Response Flexibility at Bulk Supply Points

TitleA Two-Layer Framework for Quantifying Demand Response Flexibility at Bulk Supply Points
Publication TypeJournal Article
Year of Publication2018
AuthorsKe Wang, Rongxin Yin, Liangzhong Yao, Jianguo Yao, Taiyou Yong, Nicholas DeForest
JournalIEEE Transactions on Smart Grid
Volume9
Issue4
Pagination3616 - 3627
Date Published12/2016
ISSN1949-3053
Abstract

Demand response (DR) currently plays a significant role in the operation of the electric grid. As a result, quantification of DR flexibility is an important aspect in the utilization of various DR resources. Generally, the evaluation of DR flexibility at bulk supply points (BSPs) is a challenging problem, especially without the monitoring of downstream customers' load profiles in some areas. To solve this problem, we develop a two-layer DR flexibility estimation framework. In the top layer, a top-down optimization approach is proposed to disaggregate the BSP load into different building categories based on a suite of prototype building (PB) load profiles. In the bottom layer, simplified DR estimation models are deployed to quantify the theoretical DR flexibility of each PB type. Key advantages of this framework include: 1) quantifying DR flexibility at BSPs without relying on smart meter data or detailed customer surveys and 2) providing day-ahead, hour-ahead, and near real-time prediction of DR resources based on weather forecasts and other data. Case studies demonstrate the effectiveness of load disaggregation and DR flexibility quantification at a BSP. The prediction is compared with detailed physical models, and the mean relative errors for upper/lower DR capacity at the BSP are 1.5% and 3.1%, respectively.

DOI10.1109/TSG.2016.2636873
Short TitleIEEE Trans. Smart Grid
Refereed DesignationRefereed