Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed photovoltaic generation in the Australian National Electricity Market
被引:77
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作者:
McConnell, Dylan
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机构:
Univ Melbourne, Melbourne Energy Inst, Melbourne, Vic 3010, AustraliaUniv Melbourne, Melbourne Energy Inst, Melbourne, Vic 3010, Australia
McConnell, Dylan
[1
]
Hearps, Patrick
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Univ Melbourne, Melbourne Energy Inst, Melbourne, Vic 3010, AustraliaUniv Melbourne, Melbourne Energy Inst, Melbourne, Vic 3010, Australia
Hearps, Patrick
[1
]
Eales, Dominic
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机构:
Beyond Zero Emiss, Fitzroy, Vic 3065, AustraliaUniv Melbourne, Melbourne Energy Inst, Melbourne, Vic 3010, Australia
Eales, Dominic
[2
]
Sandiford, Mike
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Univ Melbourne, Melbourne Energy Inst, Melbourne, Vic 3010, AustraliaUniv Melbourne, Melbourne Energy Inst, Melbourne, Vic 3010, Australia
Sandiford, Mike
[1
]
Dunn, Rebecca
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机构:
Australian Natl Univ, Solar Thermal Grp, Canberra, ACT 0200, AustraliaUniv Melbourne, Melbourne Energy Inst, Melbourne, Vic 3010, Australia
Dunn, Rebecca
[3
]
Wright, Matthew
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Beyond Zero Emiss, Fitzroy, Vic 3065, AustraliaUniv Melbourne, Melbourne Energy Inst, Melbourne, Vic 3010, Australia
Wright, Matthew
[2
]
Bateman, Lachlan
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机构:
Clean Technol Partners, Melbourne, Vic 3004, AustraliaUniv Melbourne, Melbourne Energy Inst, Melbourne, Vic 3010, Australia
Bateman, Lachlan
[4
]
机构:
[1] Univ Melbourne, Melbourne Energy Inst, Melbourne, Vic 3010, Australia
[2] Beyond Zero Emiss, Fitzroy, Vic 3065, Australia
[3] Australian Natl Univ, Solar Thermal Grp, Canberra, ACT 0200, Australia
[4] Clean Technol Partners, Melbourne, Vic 3004, Australia
Merit order effect;
Photovoltaic generation;
Electricity market;
IMPACT;
POWER;
D O I:
10.1016/j.enpol.2013.01.052
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
In electricity markets that use a merit order dispatch system, generation capacity is ranked by the price that it is bid into the market. Demand is then met by dispatching electricity according to this rank, from the lowest to.the highest bid. The last capacity dispatched sets the price received by all generation, ensuring the lowest cost provision of electricity. A consequence of this system is that significant deployments of low marginal cost electricity generators, including renewables, can reduce the spot price of electricity. In Australia, this prospect has been recognized in concern expressed by some coalfired generators that delivering too much renewable generation would reduce wholesale electricity prices. In this analysis we calculate the likely reduction of wholesale prices through this merit order effect on the Australian National Electricity Market. We calculate that for 5 GW of capacity, comparable to the present per capita installation of photovoltaics in Germany, the reduction in wholesale prices would have been worth in excess of A$1.8 billion over 2009 and 2010, all other factors being equal. We explore the implications of our findings for feed-in tariff policies, and find that they could deliver savings to consumers, contrary to prevailing criticisms that they are a regressive form of taxation. (C) 2013 Elsevier Ltd. All rights reserved.
机构:
Ankara Univ, Fac Polit Sci, Dept Management, Quantitat Methods Div, Ankara, TurkiyeAnkara Univ, Fac Polit Sci, Dept Management, Quantitat Methods Div, Ankara, Turkiye
Gokgoz, Fazil
Yucel, Oyku
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Ankara Univ, Fac Polit Sci, Dept Management, Quantitat Methods Div, Ankara, TurkiyeAnkara Univ, Fac Polit Sci, Dept Management, Quantitat Methods Div, Ankara, Turkiye
机构:
School of Electrical Engineering and Telecommunications and Collaboration on Energy and Environmental Markets, University of New South Wales, SydneySchool of Electrical Engineering and Telecommunications and Collaboration on Energy and Environmental Markets, University of New South Wales, Sydney
机构:
Univ New S Wales, Sch Econ, Sydney, NSW 2052, Australia
CEEM, Sydney, NSW 2052, Australia
Oko Inst eV, Inst Appl Ecol, D-10179 Berlin, GermanyUniv New S Wales, Sch Econ, Sydney, NSW 2052, Australia
Cludius, Johanna
Hermann, Hauke
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机构:
Oko Inst eV, Inst Appl Ecol, D-10179 Berlin, GermanyUniv New S Wales, Sch Econ, Sydney, NSW 2052, Australia
Hermann, Hauke
Matthes, Felix Chr
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机构:
Oko Inst eV, Inst Appl Ecol, D-10179 Berlin, GermanyUniv New S Wales, Sch Econ, Sydney, NSW 2052, Australia
Matthes, Felix Chr
Graichen, Verena
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机构:
Oko Inst eV, Inst Appl Ecol, D-10179 Berlin, GermanyUniv New S Wales, Sch Econ, Sydney, NSW 2052, Australia