Comparison of the influence of photovoltaic and wind power on the Spanish electricity prices by means of artificial intelligence techinques

Azofra, D.; Martínez, E.; Jiménez, E.; Blanco‐Fernández, Julio; Azofra, F.; Sáenz-Díez, J.C.

doi:10.1016/j.rser.2014.10.048

Cited by 20 publications

(9 citation statements)

References 21 publications

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“…In [24] a agent-based simulation platform enabled a detailed analysis of the price change caused by renewable energy in Germany and the authors of [25] developed a price demand dispatch model for the Australian National Electricity Market. Another interesting methodology is described in [26,27], where an artificial intelligence-based technique (M5P algorithm) was employed in order to quantify the merit order effect in Spain. Finally, a combination of simulation and empirical analyses was used for example in [18] for the German and in [28] for the Italian electricity market.…”

Section: Introductionmentioning

confidence: 99%

The market value and impact of offshore wind on the electricity spot market: Evidence from Germany

Ederer

2015

Applied Energy

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Section: Introductionmentioning

confidence: 99%

The market value and impact of offshore wind on the electricity spot market: Evidence from Germany

Ederer

2015

Applied Energy

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“…For the Spanish market [34], transformed the results of other previous studies such as [36][37][38] into homogeneous units (€/MWh per each additional GWh of renewable production) and highlighted a price effect of around −2 €/MWh, without significant variation (the merit order effect ranges from −1.1 to −3.99 €/MWh). Researchers have continued intensively estimating the effect of renewable energies on the wholesale electricity market (merit order effect) in Spain: [39,40], among others. Reference [39], by using artificial intelligence techniques, analyzed and compared the merit order effects of Photovoltaic and Wind Power on spot electricity prices in year 2012 (under the Wind Power received subsidies).…”

Section: Scenariosmentioning

confidence: 99%

“…Researchers have continued intensively estimating the effect of renewable energies on the wholesale electricity market (merit order effect) in Spain: [39,40], among others. Reference [39], by using artificial intelligence techniques, analyzed and compared the merit order effects of Photovoltaic and Wind Power on spot electricity prices in year 2012 (under the Wind Power received subsidies). The results indicated that final electricity prices are decreased by 9.10 €/MWh and 2.18 €/MWh in the case of Wind power and Photovoltaic Power, respectively.…”

Section: Scenariosmentioning

confidence: 99%

Assessing Socioeconomic Impacts of Integrating Distributed Energy Resources in Electricity Markets through Input-Output Models

2019

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In competitive electricity markets, the growth of electricity generated by renewable sources will reduce the market price of electricity assuming marginal cost pricing. However, small renewable distributed generation (RDG) alone cannot modify the formation of electricity prices. By aggregating small RDG units into a Virtual Power Plants (as a single unit market) they are capable of dealing at the wholesale electricity market analogous to large-scale producer following in changes in wholesale prices. This paper investigates the socioeconomic impacts of different type of RDG technologies on Spanish economic sectors and households. To this end, we applied an input-output price model to detail the activities more sensitive to changes in electricity price due to RDG technologies deployment and the associated modifications in income and total output associated with the households’ consumption variation. Detailed Spanish electricity generation disaggregation of the latest available Spanish Input-Output table, which refers to 2015, was considered. It was found that the integration of RDG units in the electricity market project a better situation for the economy and Spanish households. This paper’s scope and information can be used to benefit decision-making with respect to electricity pricing policies.

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“…Once the scenarios have been defined, it is necessary to generate a model that simulates the matching of the price of energy, thus determining the inversely proportional relationship between the % of integration of renewables in the Pool and the price of the resulting energy [2][3][4][5][6].…”

Section: Simulation Modelmentioning

confidence: 99%

“…The ex-post economic analysis of photovoltaic power in the Spanish grid was analysed in [2] by modelling alternative scenarios. The analysis of wind power merit-order and feed-intariffs effect by a variability analysis of the Spanish electricity market was developed in [3], while [4] compared the influence of photovoltaic and wind power on the Spanish electricity prices by means of artificial intelligence techniques and [5] did a similar comparison of biomass, solar-thermal and small hydraulic power. Finally [6] presented the economical-environmental impact analysis of subsidised renewable energy sources for electricity (RES-E) in the Spanish system.…”

Section: Introductionmentioning

confidence: 99%

A Simulation-based Analysis of the Influence of Renewables on the Spanish Electricity Prices

Azofra¹,

Macías²,

Cámara³

et al. 2018

SNE

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Spain is at the forefront of renewable energy worldwide with a great integration level in its generation mix. This has put Spain in the situation that other countries that support renewable energy will be in a short-medium term. However active measures to support renewable energy have been losing strength in recent times seeking to reduce the deficit. On the one hand, the bonus for each technology is different and, on the other hand, their integration level in the mix, and thus its influence on the Pool, is uneven. This work aims to provide information and conclusions about the actual economic impact of each renewable technology on the pool and the electricity tariff for the Spanish case. For doing so, simulation and artificial intelligence techniques are applied in order to model the energy pool and simulate the electricity prices in five fictitious scenarios that suppress out of the generation mix, respectively, wind, photovoltaic, biomass, small hydraulic, and solar thermal. This way, based on the simulation, and ex-post analysis can be developed in order to obtain conclusions and knowledge, useful for other countries as well as for future decision making in the Spanish power system.

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Comparison of the influence of photovoltaic and wind power on the Spanish electricity prices by means of artificial intelligence techinques

Cited by 20 publications

References 21 publications

The market value and impact of offshore wind on the electricity spot market: Evidence from Germany

The market value and impact of offshore wind on the electricity spot market: Evidence from Germany

Assessing Socioeconomic Impacts of Integrating Distributed Energy Resources in Electricity Markets through Input-Output Models

A Simulation-based Analysis of the Influence of Renewables on the Spanish Electricity Prices

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