Spot market analysis with stochastic representation for wind and photovoltaic generation
Published 2018-01-10
Keywords
- Power dispatch,
- spot market,
- stochastic analysis,
- photovoltaic generation,
- wind generation
How to Cite
Abstract
This paper analyzes the impact of photovoltaic and wind power plants on the price of Spot market, when a nonliberalized energy market and a profit-based dispatch strategy for renewable plants are used, that allow them dispatching the power at an offer price equal to zero. The Replicator Dynamics technique uses marginal utility of the power plants to optimize the dispatch, reaching the optimal when marginal utility of the plants become equal. The study also includes stochastic representation for wind velocity and solar radiation to analyze the variations in the marginal utility for three cases: including wind power plants, including photovoltaic power plants, and including both wind and photovoltaic power plants simultaneously. Results indicate that the dispatch strategy generates variations of up to 21.9% in the marginal utility, affecting the thermal plants with reductions of up to 58.6% in the power delivered when Photovoltaic Generation is included, and even causing this power fall to zero when wind power generation is included.
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References
C. B. B.M. Buchholz, “The impact of dispersed power generation in distribution systems,” Qual. Secur. Electr. Power Deliv. Syst. 2003. CIGRE/IEEE PES Int. Symp., pp. 198–203, 2003.
G. Kosmadakis, S. Karellas, and E. Kakaras, “Renewable and Conventional Electricity Generation Systems : Technologies and Diversity of Energy Systems,” Renew. Energy Gov., vol. 23, pp. 9–30, 2013.
K. Würzburg, X. Labandeira, and P. Linares, “Renewable generation and electricity prices : Taking stock and new evidence for Germany and Austria,” Energy Econ., vol. 40, pp. 159–171, 2013.
L. Dusonchet and E. Telaretti, “Comparative economic analysis of support policies for solar PV in the most representative EU countries,” Renew. Sustain. Energy Rev., vol. 42, pp. 986– 998, 2015.
L. Gabriel and M. Díaz, “Comparación de métodos de asignación a redes para distintos volumenes de transito,” Rev. UIS Ing., vol. 9, no. 1, pp. 77–84, 2010.
V. Toro-tovar, S. Rivera, and E. Mojica-nava, “Mejoras de la regulación de frecuencia utilizando el aumento de inercia de microrredes interconectadas,” Rev. UIS Ing., vol. 16, no. 2, pp. 35–42, 2017.
O. González, A. Pavas, and S. Sánchez, “Cuantificación del ahorro de energía eléctrica en clientes residenciales mediante acciones de gestión de demanda,” Rev. UIS Ing., vol. 16, no. 2, pp. 217–225, 2017.
R. Wilson, “Architecture of Power Markets,” Econométrica, vol. 70, no. 4, pp. 1299–1340, 2002.
A. H. Fathima and K. Palanisamy, “Optimization in microgrids with hybrid energy systems – A review,” Renew. Sustain. Energy Rev., vol. 45, pp. 431–446, May, 2015.
A. Brooks, E. Lu, D. Reicher, C. Spirakis, and B. Weihl, “Demand dispatch,” IEEE Power Energy Mag., vol. 8, no. 3, pp. 20–29, 2010.
N. C. Abdullah Urkmez, “Determining Spot price and economic dispatch in deregulated power systems,” J. Math. Comput. Appl., vol. 15, no. 1, pp. 25–33, 2010.
A. Altunkaynak, T. Erdik, and S. Zekai, “Theoretical derivation of wind power probability distribution function and applications,” J. Appl. Energy, vol. 92, pp. 809– 814, 2012.
S. Mohammadi, S. Soleymani, and B. Mozafari, “Scenario-based stochastic operation management of MicroGrid including Wind, Photovoltaic, Micro-Turbine, Fuel Cell and Energy Storage Devices,” Int. J. Electr. Power Energy Syst., vol. 54, pp. 525–535, Jan. 2014
D. Arango and R. Urrego, “Despacho económico en microredes con penetración de energía renovable usando algoritmo de punto interior y restricciones lineales,” Ing. y Cienc., vol. 13, no. 25, pp. 123–152, 2017.
J. Arevalo, F. Santos, and S. Rivera, “Application of analytical uncertainty costs of solar, wind and electric vehicles in optimal power dispatch,” Rev. Ing., vol. 22, no. 3, pp. 1– 23, 2017.
S. Mathew, G. S. Philip, and C. M. Lim, “Analysis of Wind Regimes and Performance of Wind Turbines,” Adv. Wind Energy Convers. Technol., pp. 71–83, 2011.
E. Mojica-Nava, C. Barreto, and N. Quijano, “Population Games Methods for Distributed Control of Microgrids,” IEEE Trans. Smart Grid, vol. PP, no. 99, pp. 1–1, 2015.