DocumentCode :
3522370
Title :
Utilizing demand response programs in day ahead generation scheduling for micro-grids with renewable sources
Author :
Eghbal, Mehdi ; Saha, Tapan Kumar ; Mahmoudi-Kohan, Nadali
Author_Institution :
Queensland Geothermal Energy Centre of Excellence (QGECE), Univ. of Queensland, Brisbane, QLD, Australia
fYear :
2011
fDate :
13-16 Nov. 2011
Firstpage :
1
Lastpage :
6
Abstract :
This paper addresses the problem of day-ahead generation scheduling for isolated micro-grids with renewable energy generators. Geothermal, solar and diesel generator are considered as the only sources for supplying electricity to the micro-grid. The aim of this paper is to illustrate how demand response measures can be utilized to meet the demand during supply shortage and mitigate load shedding. The main objective is to meet the forecasted demand by optimal scheduling of available and forecasted generation sources and reduce total cost. The problem is formulated as non-linear optimisation problem and solved using GAMS software. Simulation results show that utilizing demand response measures during the day-ahead generations scheduling problem can improve the reliability and reduce total costs.
Keywords :
cost reduction; demand forecasting; diesel-electric generators; distributed power generation; geothermal power stations; load shedding; nonlinear programming; power generation economics; power generation scheduling; power grids; renewable energy sources; solar power stations; GAMS software; day-ahead generation scheduling; demand response program; diesel generator; forecasted generation source; geothermal generator; isolated microgrids; load shedding; nonlinear optimisation problem; optimal scheduling; renewable energy generator; renewable source; solar generator; total cost reduction; Batteries; Elasticity; Electricity; Generators; Load management; Load modeling; Reliability; Battery storage; Demand response programs; Geothermal; Solar Photovoltaic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies Asia (ISGT), 2011 IEEE PES
Conference_Location :
Perth, WA
Print_ISBN :
978-1-4577-0873-2
Electronic_ISBN :
978-1-4577-0874-9
Type :
conf
DOI :
10.1109/ISGT-Asia.2011.6167148
Filename :
6167148
Link To Document :
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