Multi-Period Modeling of Behind-the-Meter Flexibility

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Pinto, R (Author) Other; Manuel Matos (Author) FEUP; Bessa, RJ (Author) Other; Gouveia, J (Author) Other; Gouveia, C (Author) Other

Conference proceedings International

Title: 2017 IEEE MANCHESTER POWERTECH

IEEE Manchester PowerTech

Manchester, ENGLAND, JUN 18-22, 2017

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 7 Citations

Other information

Authenticus ID: P-00N-090

DOI: 10.1109/ptc.2017.7980956

Abstract (EN): Reliable and smart information on the flexibility provision of Home Energy Management Systems (HEMS) represents great value for Distribution System Operators and Demand/flexibility Aggregators while market agents. However, efficiently delimiting the HEMS multi-temporal flexibility feasible domain is a complex task. The algorithm proposed in this work is able to efficiently learn and define the feasibility search space endowing DSOs and aggregators with a tool that, in a reliable and time efficient faction, provides them valuable information. That information is essential for those agents to comprehend the fully grid operation and economic benefits that can arise from the smart management of their flexible assets. House load profile, photovoltaic (PV) generation forecast, storage equipment and flexible loads as well as pre-defined costumer preferences are accounted when formulating the problem. Support Vector Data Description (SVDD) is used to build a model capable of identifying feasible HEMS flexibility offers. The proposed algorithm performs efficiently when identifying the feasibility of multi-temporal flexibility offers.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6