publication . Preprint . 2014

Aggregated Demand Modelling Including Distributed Generation, Storage and Demand Response

Marzooghi, Hesamoddin; Hill, David J.; Verbic, Gregor;
Open Access English
  • Published: 09 Dec 2014
Abstract
It is anticipated that penetration of renewable energy sources (RESs) in power systems will increase further in the next decades mainly due to environmental issues. In the long term of several decades, which we refer to in terms of the future grid (FG), balancing between supply and demand will become dependent on demand actions including demand response (DR) and energy storage. So far, FG feasibility studies have not considered these new demand-side developments for modelling future demand. In Australia, installed rooftop photovoltaic (PV) generation has been increasing significantly in recent years, and this is increasingly influence the nett load profile for F...
Subjects
free text keywords: Mathematics - Optimization and Control, 93A30
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23 references, page 1 of 2

Australian Government, Department of Industry, “Energy Facts, Statistics and Publications”, (Department of Industry of Australian Government, 2014). [Online]. Available: http://www.innovation.gov.au/Energy/Pages/default.aspx.

EPRI, “The Integrated Grid Realizing the Full Value of Central and Distributed Energy Resources”, (EPRI, 2014), pp. 1-44.

Rocky Mountain Institute, Homer Energy, Cohnreznick Think Energy, “The Economics of Grid Defection When and Where Distributed Solar Generation Plus Storage Competes with Traditional Utility Service”, Tech. Rep., 2014, pp. 1-73.

[4] Parkinson, G.: “People power: Rooftop solar PV reaches 3GW in Australia”, http://reneweconomy.com.au/2013/people-power-rooftop-solar-pv-reaches-3gw-in-australia-99543.

AEMO, “2012 NTNDP Assumptions and Inputs”, 2012. [Online]. Available: http://www.aemo.com.au/Electricity/Planning/NationalTransmission-Network-Development-Plan/Assumptions-and-Inputs.

AEMO, “Solar PV Forecast for AEMO 2012-2022”, (SunWiz and SolarBusinessServices, 2012), pp. 1-49.

[8] Szatow, T., Moyse, D.: “What Happens When We Un-Plug? Exploring the Consumer and Market Implications of Viable, off-Grid Energy Supply, Research Phase 1: Identifying off-Grid Tipping Points”, (Energy for the People and Alternative Technology Association, 2014), pp. 1-58.

Wright, M., Hearps, P.: “Zero Carbon Australia Stationary Energy Plan”, (The University of Melbourne Energy Research Institute, 2010), pp. 1-171.

Elliston, B., Diesendorf, M., MacGill, I.: “Simulations of Scenarios with 100% Renewable Electricity in the Australian National Electricity Market”, Energy Policy, 2012, 45, pp. 606-613. [OpenAIRE]

Elliston, B., MacGill, I., Diesendorf, M.: “Least Cost 100% Renewable Electricity Scenarios in the Australian National Electricity Market”, Energy Policy, 2013, 59, pp. 270-282. [OpenAIRE]

Budischak, C., Sewell, D., Thomson, H., Mach, L., Veron, D. E., Kempton, W.: “Cost-Minimized Combinations of Wind Power, Solar Power and Electrochemical Storage, Powering the Grid up to 99.9% of the Time”, Journal of Power Sources, 2013, 225, pp. 60-74. [OpenAIRE]

Hart, E. K., Jacobson, M. Z.: “A Monte Carlo Approach to Generator Portfolio Planning and Carbon Emissions Assessments of Systems with Large Penetrations of Variable Renewables”, Renewable Energy, 2011, 36, (8), pp. 2278-2286.

Tischer, H., Verbic, G.: “Towards a Smart Home Energy Management System-A Dynamic Programming Approach”, in the Innovative Smart Grid Technologies Asia, 2011.

Tsang, I. W.-H., Kwok, J. T.-Y., Zurada, J. M.: “Generalized Core Vector Machines,” IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council, 2006, 17, (5), pp. 1126-40.

Gibbard M., Vowles, D.: “Simplified 14-Generator Model of the SE Australian Power System”, (The University of Adelaide, 2010), pp.

23 references, page 1 of 2
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