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Hierarchical aggregation method for a scalable implementation of demand side management

journal contribution
posted on 2018-08-01, 00:00 authored by B Amarasekara, Chathu RanaweeraChathu Ranaweera, R Evans, A Nirmalathas
© 2017 Elsevier Ltd Demand side management (DSM) aims to efficiently manage power flow by engaging energy customers, through offering incentives via price signals to alter their consumption patterns or directly controlling their loads. However, the integration of renewable energy generators and batteries in residential premises requires new approaches for DSM as they offer more flexibility. Moreover, as there are often a large number of residential energy customers within a distribution network, it is quite challenging to accommodate all of them in the DSM. In this paper, we propose an Aggregated Method (AM) that allows the treatment of distribution grid as a composition of several microgrids, which helps to aggregate underlying energy customers’ power and energy constraints and operating preferences. In addition, we provide methods for distributing the aggregated energy demand decisions among the participating energy customers. In contrast to the alternative centralized method, our approach requires less computational time to obtain decisions and hence scales well with increasing network size. Moreover, our results indicate that when using our method, energy customers receive more benefits through satisfying their energy requirements and operating conditions. Our overall analyses showed that the proposed framework can be easily adopted by the electricity market operators to create scalable DSM programs.

History

Journal

Computers and Operations Research

Volume

96

Pagination

188 - 199

Publisher

Elsevier

Location

Amsterdam, The Netherlands

ISSN

0305-0548

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

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