Energy unit cost assessment of six photovoltaic-battery configurations

Kosmadakis, Ioannis; Elmasides, Costas; Koulinas, Georgios K.; Tsagarakis, Konstantinos P.

doi:10.1016/j.renene.2021.03.010

Cited by 34 publications

(13 citation statements)

References 71 publications

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“…Popular battery technologies include Lithium-ion (Li-ion), Lead-Acid (PbA), and Nickel-Metal Hydride (Ni-MH) [31]. Among these, Li-ion batteries have become the prevailing technology used in large BESS [32], as the system described in this paper, due to the higher energy density, the higher round trip efficiency, the longer life span, the fast response time, and the decrease in cost seen in recent years [33][34][35].…”

Section: The Case Study: a 288 Mw Pv Plant With 922 Mw/2752 Mwh Integ...mentioning

confidence: 99%

Efficiency Comparison of DC and AC Coupling Solutions for Large-Scale PV+BESS Power Plants

Franco

Morandi

Raboni³

et al. 2021

Energies

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In large-scale photovoltaic (PV) power plants, the integration of a battery energy storage system (BESS) permits a more flexible operation, allowing the plant to support grid stability. In hybrid PV+BESS plants, the storage system can be integrated by using different power conversion system (PCS) layouts and different charge–discharge strategies. In the AC-coupling layout, the BESS is connected to the ac-side of the system through an additional inverter. In the DC-coupling layout, the BESS is connected to the dc-side, with or without a dedicated dc–dc converter, and no additional inverter is needed. Referring to a 288 MWp PV plant with a 275 MWh BESS, this paper compares the PCS efficiency between AC- and DC-coupling solutions. The power injected into the grid is obtained considering providing primary power-frequency regulation services. A charging and discharging strategy of the BESS is proposed to ensure cyclic battery energy shifting. The power flows in the different components of the system that are obtained under realistic operating conditions, and total energy losses and annual average efficiency are calculated accordingly. Finally, results show a higher efficiency of DC-coupling compared to the AC-coupling layout.

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Section: The Case Study: a 288 Mw Pv Plant With 922 Mw/2752 Mwh Integ...mentioning

confidence: 99%

Efficiency Comparison of DC and AC Coupling Solutions for Large-Scale PV+BESS Power Plants

Franco

Morandi

Raboni³

et al. 2021

Energies

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“…A resource intensive way to manage photovoltaic integration is to invest in large-scale battery resources to complement the photovoltaic generation capacity, and one line of research is to investigate the optimal sizing of battery storages for this purpose e.g., (Kong et al, 2019;Kosmadakis et al, 2021;Muñoz-Rodríguez et al, 2021). A more intelligent and less resource intensive approach is to employ a VPP Thavlov and Bindner (2015) to coordinate diverse energy resources such as photovoltaic generation, smart loads and electric vehicles.…”

Section: Nowcasting For Vpp With Photovoltaic Generationmentioning

confidence: 99%

Solar Irradiance Nowcasting for Virtual Power Plants Using Multimodal Long Short-Term Memory Networks

et al. 2021

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The rapid penetration of photovoltaic generation reduces power grid inertia and increases the need for intelligent energy resources that can cope in real time with the imbalance between power generation and consumption. Virtual power plants are a technology for coordinating such resources and monetizing them, for example on electricity markets with real-time pricing or on frequency reserves markets. Accurate short-term photovoltaic generation forecasts are essential for such virtual power plants. Although significant research has been done on medium- and long-term photovoltaic generation forecasting, the short-term forecasting problem requires special attention to sudden fluctuations due to the high variability of cloud cover and related weather events. Solar irradiance nowcasting aims to resolve this variability by providing reliable short-term forecasts of the expected power generation capacity. Sky images captured in proximity to the photovoltaic panels are used to determine cloud behavior and solar intensity. This is a computationally challenging task for conventional computer vision techniques and only a handful of Artificial Intelligence (AI) methods have been proposed. In this paper, a novel multimodal approach is proposed based on two Long Short-Term Memory Networks (LSTM) that receives a temporal image modality of a stream of sky images, a temporal numerical modality of a time-series of past solar irradiance readings and cloud cover readings as inputs for irradiance nowcasting. The proposed nowcasting pipeline consists of a preprocessing module and an irradiance augmentation module that implements methods for cloud detection, Sun localization and mask generation. The complete approach was empirically evaluated on a real-world solar irradiance case study across the four seasons of the northern hemisphere, resulting in a mean improvement of 39% for multimodality.

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“…In this work, we attempted to simplify the analysis by making design assumptions based on local practical considerations. For instance, the total inverter AC capacity is limited to a maximum of 15 MW because the Mauritian utility has limited the AC capacity of the IPP PV plants to 15 MW. In the model, due to the choice of inverters, the total AC capacity has been set to 14.63 MWac.…”

Section: Technical Parametersmentioning

confidence: 99%

Techno-Economic Analysis of Utility-Scale Solar Photovoltaic Plus Battery Power Plant

Edoo

King

2021

Energies

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Decarbonizing the global power sector is a key requirement to fight climate change. Consequently, the deployment of renewable energy (RE) technologies, notably solar photovoltaic (PV), is proceeding rapidly in many regions. However, in many of these regions, the evening peak is predominantly being served by fossil-fired generators. Furthermore, as the evening peak is projected to increase in the coming years, there are plans to install more fossil-fired peaking generators. A cleaner alternative is to enable solar PV plants to provide clean power after sunset by pairing them with large-scale lithium-ion batteries to provide evening peak generation. In this work, we performed a techno-economic analysis of a solar PV plus battery (PVB) power plant using the island of Mauritius as a case study. We assessed the impacts of the battery size, inverter loading ratio (ILR), tracking type, and curtailment on the levelized cost of electricity (LCOE). The main results show that the LCOE of utility-scale PVB systems are comparable to that of fossil-fired peaking generators for this case study. Tracking was shown to exacerbate the clipping loss problem and its benefits on LCOE reduction decrease as the ILR increases. The availability of the PVB system to serve the evening peak was found to be high. The curtailment analysis also showed that planners must not rely solely on storage, but rather should also improve grid flexibility to keep PVB integration affordable. Overall, the practical insights generated will be useful to utility planners in charting their generation expansion strategy.

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Energy unit cost assessment of six photovoltaic-battery configurations

Cited by 34 publications

References 71 publications

Efficiency Comparison of DC and AC Coupling Solutions for Large-Scale PV+BESS Power Plants

Efficiency Comparison of DC and AC Coupling Solutions for Large-Scale PV+BESS Power Plants

Solar Irradiance Nowcasting for Virtual Power Plants Using Multimodal Long Short-Term Memory Networks

Techno-Economic Analysis of Utility-Scale Solar Photovoltaic Plus Battery Power Plant

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