Demand Response Driven Load Pattern Elasticity Analysis for Smart Households

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Paterakis, NG (Author) Other; Catalao, JPS (Author) FEUP; Tascikaraoglu, A (Author) Other; Bakirtzis, AG (Author) Other; Erdinc, O (Author) Other

Conference proceedings International

Title: 2015 IEEE 5TH INTERNATIONAL CONFERENCE ON POWER ENGINEERING, ENERGY AND ELECTRICAL DRIVES (POWERENG)

Pages: 399-404

IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives

riga, LATVIA, MAY 11-13, 2015

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 6 Citations

Other information

Authenticus ID: P-00G-WK6

DOI: 10.1109/powereng.2015.7266350

Abstract (EN): The recent interest in smart grid vision enables several smart applications in different parts of the power grid structure, where specific importance should be given to the demand side. As a result, changes in load patterns due to demand response (DR) activities at end-user premises, such as smart households, constitute a vital point to take into account both in system planning and operation phases. In this study, the assessment of the impacts of pricing based DR strategies on smart household load pattern variations is provided. The household load data sets are acquired from a provided model of a smart household, including appliance scheduling. Then, an artificial neural network (ANN) approach based on Wavelet Transform (WT) is employed for the forecasting of responsive residential load behaviors to different pricing schemes. From the literature perspective this study contributes by considering DR impacts on load pattern forecasting, being a very useful tool for market participants such as aggregators in future pool-based market structures, or for load serving entities to discuss potential change requirements in existing DR strategies, or even to effectively plan new ones.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6