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Erschienen in: Energy Systems 4/2014

01.12.2014 | Original Paper

The effects of stochastic market clearing on the cost of wind integration: a case of New Zealand electricity market

verfasst von: Javad Khazaei, Golbon Zakeri, Geoffrey Pritchard

Erschienen in: Energy Systems | Ausgabe 4/2014

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Abstract

Introducing wind generation into an electricity market can incur an extra cost resulting from the volatile nature of wind. To reduce this cost, an alternative stochastic market clearing mechanism is proposed in the literature (Wong and Fuller in IEEE Trans Power Syst 22(2):631–638, 2007; Pritchard et al. in Oper Res 2010; Bouffard et al. in IEEE Trans Power Syst 20(4):1818–1826, 2005). However, implementing a stochastic market clearing can also impose some extra cost on the market. Therefore, it is essential to estimate the efficiency gain resulting from implementing a stochastic market clearing mechanism. We describe the result of an empirical study to quantify value of a stochastic clearing mechanism for the New Zealand electricity market. We extend our analysis for possible larger wind integration in the future.

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Fußnoten
1
Wind generation can be thought of as decreasing demand. Hence, volatility in wind generation is equivalent to volatility in demand. Therefore our models are effectively general enough to cope with demand volatility as well, although we have not implemented this in our experiments. Our experiments are based on historical periods. During these periods demand was realized and the CDS has measurements of all nodal demands. Through aggregating these we arrive at our demand figures for the simplified NZ model.
 
2
Schedule, Price and Dispatch.
 
3
This approximation also ensures that our model is compatible with the original SPD formulation.
 
4
Effectively, demand must always be satisfied.
 
5
These days are chosen because they can provide a variety of results.
 
6
Another option is to compare these two mechanism based on the expected cost of generation (see [15]). Our cost comparison, however, is based directly on actual wind generation rather than the constructed scenarios we have used for the model. Having run the numerical experiments for 6 months does make the overall result much like an expected value; it could be argued that this is actually better than computing expected values with respect to the small number of scenarios used in the stochastic program.
 
Literatur
1.
Zurück zum Zitat Wong, S., Fuller, J.: Pricing energy and reserves using stochastic optimization in an alternative electricity market. IEEE Trans. Power Syst. 22(2), 631–638 (2007)CrossRef Wong, S., Fuller, J.: Pricing energy and reserves using stochastic optimization in an alternative electricity market. IEEE Trans. Power Syst. 22(2), 631–638 (2007)CrossRef
2.
Zurück zum Zitat Pritchard, G., Zakeri, G., Philpott, A.: A single-settlement, energy-only electric power market for unpredictable and intermittent participants. Oper. Res. 58(4-part-2), 1210–1219 (2010) Pritchard, G., Zakeri, G., Philpott, A.: A single-settlement, energy-only electric power market for unpredictable and intermittent participants. Oper. Res. 58(4-part-2), 1210–1219 (2010)
3.
Zurück zum Zitat Bouffard, F., Galiana, F., Conejo, A.: Market-clearing with stochastic security-part i: formulation. IEEE Trans. Power Syst. 20(4), 1818–1826 (2005)CrossRef Bouffard, F., Galiana, F., Conejo, A.: Market-clearing with stochastic security-part i: formulation. IEEE Trans. Power Syst. 20(4), 1818–1826 (2005)CrossRef
6.
Zurück zum Zitat Philpott, A., Guan, Z., Khazaei, J., Zakeri, G.: Production inefficiency of electricity markets with hydro generation. Util. Policy 18, 174–185 (2010)CrossRef Philpott, A., Guan, Z., Khazaei, J., Zakeri, G.: Production inefficiency of electricity markets with hydro generation. Util. Policy 18, 174–185 (2010)CrossRef
8.
Zurück zum Zitat Alvey, T., Goodwin, D., Ma, X., Streiffert, D., Sun, D.: A security-constrained bid-clearing system for the new zealand wholesale electricity market. IEEE Trans. Power Syst. 13, 340–346 (1998)CrossRef Alvey, T., Goodwin, D., Ma, X., Streiffert, D., Sun, D.: A security-constrained bid-clearing system for the new zealand wholesale electricity market. IEEE Trans. Power Syst. 13, 340–346 (1998)CrossRef
9.
12.
Zurück zum Zitat Pritchard, G.: Short-term variations in wind power: some quantile-type models for probabilistic forecasting. Wind Energy 14(2), 255–269 (2011)CrossRef Pritchard, G.: Short-term variations in wind power: some quantile-type models for probabilistic forecasting. Wind Energy 14(2), 255–269 (2011)CrossRef
13.
Zurück zum Zitat Edwards, P.J.: Wind energy resource studies in New Zealand. Solar Wind Technol. 7(1), 9–14 (1990)CrossRef Edwards, P.J.: Wind energy resource studies in New Zealand. Solar Wind Technol. 7(1), 9–14 (1990)CrossRef
15.
Zurück zum Zitat Maggioni, F., Wallace, S.W.: Analyzing the quality of the expected value solution in stochastic programming. Ann. Oper. Res. 200(1), 37–54 (2012)MathSciNetMATHCrossRef Maggioni, F., Wallace, S.W.: Analyzing the quality of the expected value solution in stochastic programming. Ann. Oper. Res. 200(1), 37–54 (2012)MathSciNetMATHCrossRef
Metadaten
Titel
The effects of stochastic market clearing on the cost of wind integration: a case of New Zealand electricity market
verfasst von
Javad Khazaei
Golbon Zakeri
Geoffrey Pritchard
Publikationsdatum
01.12.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Energy Systems / Ausgabe 4/2014
Print ISSN: 1868-3967
Elektronische ISSN: 1868-3975
DOI
https://doi.org/10.1007/s12667-014-0120-x

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