The impact of market coupling on Hungarian and Romanian electricity markets: Evidence from the regime-switching model

Abstract

This paper investigates the impact of market coupling on (1) electricity prices of Hungarian and Romanian markets and (2) the influence of renewable generation on price regimes by employing the Markov regime-switching model with time-varying transition probabilities. The study provides the evidence of the changes in regimes since market coupling. The results show that the persistence and occurrences of Hungarian price drops are significantly increased. Meanwhile, Romanian prices exhibit less and shorter living price jumps. Considering time-varying transition probabilities as functions of wind power production in Romania, the study also reveals that market coupling changed the influence of wind power production on the regime-switching mechanism of electricity prices.

Keywords

Market coupling electricity price Markov regime-switching model time-varying transition probabilities wind power production

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References

Finon

Romano

. Electricity market integration: redistribution effect versus resource reallocation. Energy Policy 2009; 37: 2977–2985.

Malaguzzi

. Welfare and competition effects of electricity interconnection between Ireland and Great Britain. Energy Policy 2009; 37: 4679–4688.

Zachmann

. Electricity wholesale market prices in Europe: convergence? Energ Econ 2008; 30: 1659–1671.

Creti

Fumagalli

. Integration of electricity markets in Europe: relevant issues for Italy. Energy Policy 2010; 38: 6966–6976.

Pellini

. Measuring the impact of market coupling on the Italian electricity market. Energy Policy 2012; 48: 322–333.

Hobbs

Rijkers

Boots

. The more cooperation, the more competition? A cournot analysis of the benefits of electric market coupling. Energy J 2005; 26: 69–98.

Denny

Tuohy

Meibom

et al.

The impact of increased interconnection on electricity systems with large penetrations of wind generation: a case study of Ireland and Great Britain. Energy Policy 2010; 38: 6946–6954.

Pean

Pirouti

Qadrdan

. Role of the gb-france electricity interconnectors in integration of variable renewable generation. Renew Energy 2016; 99: 307–314.

Ochoa

van Ackere

. Does size matter? Simulating electricity market coupling between Colombia and Ecuador. Energy 2015; 50: 1108–1124.

10.

Ochoa

van Ackere

. Winners and losers of market coupling. Energy 2015; 80: 522–534.

11.

Parisio

Bosco

. Electricity prices and cross-border trade: volume and strategy effects. Energ Econ 2008; 30: 1760–1775.

12.

Ehrenmann

Neuhoff

. A comparison of electricity market designs in networks. Oper Res 2009; 57: 274–286.

13.

Woo

Horowitz

Moore

et al.

The impact of wind generation on the electricity spot-market price level and variance: the Texas experience. Energy Policy 20111; 39: 3939–3944.

14.

Strbac

Black

Shakoor

et al.

Impact of wind generation on the operation and development of the UK electricity systems. Electr Pow Syst Res 2007; 77: 1214–1227.

15.

Amor

Villemeur

Pellat

et al.

Influence of wind power on hourly electricity prices and ghg (greenhouse gas) emissions: evidence that congestion matters from ontario zonal data. Energy 2014; 66: 458–469.

16.

Ketterer

. The impact of wind power generation on the electricity price in Germany. Energ Econ 2014; 44: 270–280.

17.

Martinez-Anido

Brinkman

Hodge

B-M

. The impact of wind power on electricity prices. Renew Energy 2016; 94: 474–487.

18.

Suomalainen

Pritchard

Sharp

et al.

Correlation analysis on wind and hydro resources with electricity demand and prices in New Zealand. Appl Energy 2015; 137: 445–462.

19.

Brancucci C and Hodge BM. Impact of utility-scale distributed wind on transmission-level system operations. NREL Technical Report, 2014.

20.

Clo

Cataldi

Zoppoli

. The merit-order effect in the Italian power market: the impact of solar and wind generation on national wholesale electricity prices. Energy Policy 2015; 77: 79–88.

21.

Kanamura

Ohashi

. On transition probabilities of regime switching in electricity prices. 2008; 30: 1158–1172.

22.

Mount

Ning

Cai

. Predicting price spikes in electricity markets using a regime-switching model with time-varying parameters. Energ Econ 2006; 28: 62–80.

23.

Huisman

. The influence of temperature on spike probability in day-ahead power prices. Energ Econ 2008; 30: 2697–2704.

24.

Kilic

Huisman

. A history of European electricity day-ahead prices. Appl Econ 2013; 45: 2683–2693.

25.

Janczura

Weron

. An empirical comparison of alternate regime-switching models for electricity spot prices. Energ Econ 2010; 32: 1059–1073.

26.

Janczura

Weron

. Efficient estimation of Markov regime-switching models: an application to electricity spot prices. StA Advan Stat Anal 2012; 96: 385–407.

27.

Cleveland

McRae

et al.

Stl: a seasonal-trend decomposition procedure based on loess. J Off Stat 1990; 6: 3–73.

28.

Hamilton

. Analysis of time series subject to changes in regime. J Econom 1990; 45: 39–70.

29.

Kim

. Dynamic linear models with Markov-switching. J Econom 1994; 60: 1–22.