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Optimization of PV power plant operation through energy storage providing ancillary services
Renewables are gaining importance in electrical grids and markets nowadays, and in parallel, they are subjected to more and more stringent requirements for their grid integration. One tool for this kind of energy sources to be integrated is the field of energy storage. This project proposes a methodology for the economic optimization of the sizing of a battery bank, which enhance s the participation of a PV power plant in network primary frequency support. Moreover, the energy storage system is used as a mea n to minimise penalization s due to forecasting errors, made by the producer in the schedule of the energy that will be sold in the day - ahead mark et (DM). The methodology consists in the formulation and the resolution of a Linear Programming (LP) problem, implemented in GAMS, applied to a 5 MW PV power plant, equipped with Nickel - Manganese - Cobalt (NMC) batteries , in the Spanish energy market. However, the primary frequency control analysis, is performed considering real data extrapolated from the UK market regulation, since in Spain, this type of service is mandatory, but not remunerated. The project aim is, therefore, the study of a near future scenario in which renewable producers are totally integrated in the electricity market and they cou ld receive adequate remunerations for ancillary services support (as it is already enabled in the UK electricity market). For the forecasting error adjustment, instead, t he Spanish deviations management market is taken into account, following its current l egislations. Finally, data for solar power generation and batteries costs are estimated from literature. Results suggest that the implementation of a battery bank represents a profitable solution for the provision of frequency response support, since the p ower plant can work near its maximum power point, increasing its total income of around 2.08 M € (24 % more) within 15 years (life time of the storage device) . In order to enhance this service, the energy storage system should be sized at 345 kWh . The energy forecasting correction, instead, expects a battery bank of around 332 kWh, sinc e the provision of both services make the battery charging and discharging at the same time, decreasing the final energy managed. With this configuration, the power plant produ cer is increasi ng the profits of about 280 000 € (3% more) , comparing with the case in which the power plant is not equipped with energy storage and the forecasting errors are not managed. In conclusion, the implementation of batteries generates an economic improvement , increasing in both configura tions the power plant income, thus considering the related initial investment totally warranted. Moreover, the use of an optimization software as GAMS avoids the risk of batteries over - dimensioning, which let be worth nothing the economic advantages obtain ed with ancillary services provision
Optimization of PV power plant operation through energy storage providing ancillary services
Renewables are gaining importance in electrical grids and markets nowadays, and in parallel, they are subjected to more and more stringent requirements for their grid integration. One tool for this kind of energy sources to be integrated is the field of energy storage. This project proposes a methodology for the economic optimization of the sizing of a battery bank, which enhance s the participation of a PV power plant in network primary frequency support. Moreover, the energy storage system is used as a mea n to minimise penalization s due to forecasting errors, made by the producer in the schedule of the energy that will be sold in the day - ahead mark et (DM). The methodology consists in the formulation and the resolution of a Linear Programming (LP) problem, implemented in GAMS, applied to a 5 MW PV power plant, equipped with Nickel - Manganese - Cobalt (NMC) batteries , in the Spanish energy market. However, the primary frequency control analysis, is performed considering real data extrapolated from the UK market regulation, since in Spain, this type of service is mandatory, but not remunerated. The project aim is, therefore, the study of a near future scenario in which renewable producers are totally integrated in the electricity market and they cou ld receive adequate remunerations for ancillary services support (as it is already enabled in the UK electricity market). For the forecasting error adjustment, instead, t he Spanish deviations management market is taken into account, following its current l egislations. Finally, data for solar power generation and batteries costs are estimated from literature. Results suggest that the implementation of a battery bank represents a profitable solution for the provision of frequency response support, since the p ower plant can work near its maximum power point, increasing its total income of around 2.08 M € (24 % more) within 15 years (life time of the storage device) . In order to enhance this service, the energy storage system should be sized at 345 kWh . The energy forecasting correction, instead, expects a battery bank of around 332 kWh, sinc e the provision of both services make the battery charging and discharging at the same time, decreasing the final energy managed. With this configuration, the power plant produ cer is increasi ng the profits of about 280 000 € (3% more) , comparing with the case in which the power plant is not equipped with energy storage and the forecasting errors are not managed. In conclusion, the implementation of batteries generates an economic improvement , increasing in both configura tions the power plant income, thus considering the related initial investment totally warranted. Moreover, the use of an optimization software as GAMS avoids the risk of batteries over - dimensioning, which let be worth nothing the economic advantages obtain ed with ancillary services provision
Optimization of PV power plant operation through energy storage providing ancillary services
2018-09-17
Theses
Electronic Resource
English
DDC:
690
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