Article

Estimating the impacts of demand response by simulating householdbehaviours under price and CO2signals

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tTo facilitate the implementation of demand response (DR), it is necessary to establish proper methods toestimate and verify the load impacts of it. This paper develops a simulation model to investigate the jointinfluence of price and CO2signals in a DR program in the ex ante evaluation. It consists of a Markov-chainload model for forecasting the power demands of residential consumers and a scheduling program forproviding optimal schedules for smart appliances. A case study of the Stockholm Royal Seaport projectis analysed to demonstrate how to apply the simulation model to assess a DR program by simulatingconsumers’ behaviour change in response to the DR signals. The results show that consumers’ attitude tothe signals and willingness to change (expressed by weight  and time preference) largely affect the loadshift, bill saving and emission reduction. Moreover, by observing the load shifts over different lengthsof the testing period, the model could also provide suggestions on the required testing period to getsufficient load data to distinguish the load patterns between consumers in different testing groups

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Ketersediaan

Informasi Detail

Judul Seri

Electric Power Systems Research

No. Panggil

ATC PO ONG e

Penerbit

Sweden : Elsevier., 2014

Deskripsi Fisik

12 p.

Bahasa

English

ISBN/ISSN

0378-7796

Klasifikasi

PO

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

online resource

Edisi

-

Subjek

Demand response
Emission facto
Ex ante evaluationa

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Meng Song

Versi lain/terkait

Lampiran Berkas

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