On minimization of the group variability of intermittent renewable generators

Year 2021, Volume: 5 Issue: 4, 268 - 283, 31.12.2021

Dubravko Sabolić , Roman Malarić

https://doi.org/10.30521/jes.943813

Abstract

We discuss an approach to minimizing the group variability of generation in a system of intermittent renewable sources using the portfolio theory. The total variability of a system that can be modeled using various parameters as goal-functions is minimized given any desired level of expected long-term generation. An extensive analysis was carried out on a set of time series of measured generation data obtained from twenty wind plants in Croatia over five years in one hour and fifteen minutes, time resolutions. The choice of the goal function most relevant for the operational (and economic) consequences of short-term variability is discussed.

Keywords

Optimization, Renewable sources, Variability of electricity generation

Supporting Institution

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Project Number

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References

• [1] Sabolić, D, Župan, A, Malarić, R. Minimization of Generation Variability of a Group of Wind Plants. Journal of Sustainable Development of Energy, Water and Environment Systems 2017; 5(3): 466-479, DOI: 10.13044/j.sdewes.d5.0157
• [2] Roques, F, Hiroux, C, Saguan, M. Optimal Wind Power Deployment in Europe—A Portfolio Approach. Energy Policy 2010; 38: 3245–3256, DOI: 10.1016/j.enpol.2009.07.048
• [3] Katzenstein, W, Fertig, E, Apt, J. The Variability of Interconnected Wind Plants. Energy Policy 2010; 38: 4400–4410, DOI: 10.1016/j.enpol.2010.03.069
• [4] Ueckerdt, F, Hirth, L, Luderer, G, Edenhofer, O. System LCOE: What Are the Costs of Variable Renewables? Energy 2013; 63: 61-75, DOI: 10.1016/j.energy.2013.10.072
• [5] Gross, R, Heptonstall, P, Anderson, D, Green, T, Leach, M, Skea, J. The Cost and Impacts of Intermittency. London, UK: UK Energy Research Centre, 2006.
• [6] Milligan, M, Kirby, B. Calculating Wind Integration Costs: Separating Wind Energy Value From Integration Cost Impacts. Golden, Colorado, USA: National Renewable Energy Laboratory, 2009.
• [7] Smith, C, Milligan, M, DeMeo, E, Parsons, B. Utility Wind Integration and Operating Impact State of the Art. IEEE Trans. Power Syst. 2007; 22(3): 900-908, DOI: 10.1109/TPWRS.2007.901598
• [8] Holttinen, H, Melbom, P, Orths, A, Lange, B, O’Malley, M, Tande, JO, Estanqueiro, A, Gomez, E, Söder, L, Strbac, G, Smith, JC, van Hulle, F. Impacts of Large Amounts of Wind Power on Design and Operation of Power Systems, Results of IEA Collaboration. Wind Energy 2011; 14(2): 179-192, DOI: 10.1002/we.410
• [9] DeCesaro, J, Porter, K. Wind Energy and Power system Operations: A Review of Wind Integration Studies to Date. Golden, Colorado, USA: National Renewable Energy Laboratory, 2009.
• [10] GE Energy. Western Wind and Solar Integration Study. Golden, Colorado, USA: National Renewable Energy Laboratory, 2010.
• [11] Fripp, M, Wiser, RH. Effects of Temporal Wind Patterns in the Value of Wind-Generated Electricity in California and the Northwest. IEEE Trans. Power Syst. 2008; 23(2): 477-485, DOI: 10.1109/TPWRS.2008.919427
• [12] Mills, A, Wiser, R. Changes in the Economic Value of Variable Generation at High Penetrations Levels: A Pilot Case Study of California. Berkeley, California, USA: Ernest Orlando Lawrence Berkeley National Laboratory, 2012.
• [13] Nicolosi, M. The Economics of Renewable Electricity Market Integration, An empirical and Model-Based Analysis of Regulatory Frameworks and Their Impacts on the Power Market (PhD). Universität zu Köln, Germany, 2011.
• [14] Markowitz, H. Portfolio Selection. The Journal of Finance 1952; 7: 77-91. DOI: 10.1111/j.1540-6261.1952.tb01525.x
• [15] Elton, EJ, Gruber, MJ. Modern Portfolio Theory, 1950 to Date. Journal of Banking & Finance 1997; 21: 1743-1759, DOI: 10.1016/S0378-4266(97)00048-4
• [16] Sabolić, D, Župan, A, Malarić, R. Statistical Properties of Electricity Generation from a Large System of Wind Plants and Demand for Fast Regulation. Journal of Sustainable Development of Energy, Water and Environment Systems 2017; 5(3): 447-465, DOI: 10.13044/j.sdewes.d5.0156
• [17] Sabolić, D, Sičaja, I, Ivanković, I. Correlation between Wind Generation and Load in Croatian Power System. In: PGSRET 2019 International Conference on Power Generation Systems and Renewable Energy Technologies; 26-27 Aug. 2019: IEEE, pp. 9-12.
• [18] De Caro, F, De Stefani, J, Bontempi, G, Vaccaro, A, Villacci, D. Robust Assessment of Short-Term Wind Power Forecasting Models on Multiple Time Horizons. Technology and Economics of Smart Grids and Sustainable Energy 2020; 5: 19, DOI: 10.1007/s40866-020-00090-8
• [19] Gwabau, M, Raji, A. Dynamic Control of Integrated Wind Farm Battery Energy Storage Systems for Grid Connection. Sustainability 2021; 13: 3112. DOI: 10.3390/su13063112
• [20] Alismail, F, Abdulgalil, MA, Khalid, M. Optimal Coordinated Planning of Energy Storage and Tie-Lines to Boost Flexibility with High Wind Power Integration. Sustainability 2021; 1: 2526. DOI: 10.3390/su13052526