Towards Prosumer Flexibility Markets: A Photovoltaic and Battery Storage Model

Nalini, Babu Kumaran; Eldakadosi, Mohamed; You, Zhengjie; Zadé, Michel; Tzscheutschler, Peter; Wagner, Ulrich

doi:10.1109/isgteurope.2019.8905622

Cited by 6 publications

(10 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Positive flexibility is used when the grid faces any deficit of energy and the prosumer feeds-in additional energy or refrains from withdrawing any scheduled grid charging. Typical example of these flexibility types is curtailment of PV feed-in as negative flexibility service 𝑝 𝑡,𝑓𝑙𝑒𝑥 − 𝑝𝑣 and the positive flexibility service 𝑝 𝑡,𝑓𝑙𝑒𝑥 + bes which corresponds to refrain from charging the battery Figure 1 Optimal operation schedule with PV-BES systems [9] at scheduled time step. A basic representation of the flexibility power calculation of the PV and battery systems are shown using the equations 6-8.…”

Section: Table 1 Flexibility Definitionmentioning

confidence: 99%

“…The flexibility equations are solved considering the device constraints such as SOC limits, charging limits, etc. A detailed understanding on the flexibility quantification can be gathered from [9].…”

Section: 𝑝 𝑡𝑓𝑙𝑒𝑥mentioning

confidence: 99%

“…Fonteijn et al demonstrates a generic four step congestion management approach using prosumer flexibility [6]. Several methods have also been proposed to quantify the flexibility from prosumers devices such photovoltaics (PV) and battery system, electric vehicles, heat pumps to allow interaction of prosumers with the DSOs using flexibility markets [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Does Oversizing Improve Prosumer Profitability in a Flexibility Market? - A Sensitivity Analysis using PV-battery System

Nalini¹,

Zadé²,

You³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

The possibilities to involve small-scale prosumers for ancillary services in the distribution grid through aggregators and local flexibility markets, question whether it is profitable for prosumers to oversize proactively. In this analysis, a Python model is developed to identify the cost optimal operation plan of the PVbattery system and to evaluate the device flexibility. An economic assessment is carried out to derive the costbenefit of sizing based on the mean electricity price. A sensitivity analysis is performed with the above results to study the profitable sizing of PV-battery systems with flexibility services. The results show promising advantage of oversizing although limitations prevail with the extent of flexibility services offered.

show abstract

Section: Table 1 Flexibility Definitionmentioning

confidence: 99%

Section: 𝑝 𝑡𝑓𝑙𝑒𝑥mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Does Oversizing Improve Prosumer Profitability in a Flexibility Market? - A Sensitivity Analysis using PV-battery System

Nalini¹,

Zadé²,

You³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, the increasing decentralisation of the energy system requires greater flexibility at the distribution grid level, for example, stronger load balancing 4 . Such flexibility in the distribution grid can be initially offered by the decentralised energy units and prosumers in buildings and city districts, such as heat pumps, heat storage, photovoltaic (PV) battery systems, charging stations for electric vehicles and so forth 4–7 . Moreover, the small decentralised energy units can be pooled together to provide a higher amount of flexibility.…”

Section: Introductionmentioning

confidence: 99%

“…4 Such flexibility in the distribution grid can be initially offered by the decentralised energy units and prosumers in buildings and city districts, such as heat pumps, heat storage, photovoltaic (PV) battery systems, charging stations for electric vehicles and so forth. [4][5][6][7] Moreover, the small decentralised energy units can be pooled together to provide a higher amount of flexibility. However, the energy units in buildings are not installed to provide flexibility, but for other purposes, such as heating, hot water treatment and increasing self-consumption.…”

mentioning

confidence: 99%

Quantifying power and energy fluctuations of photovoltaic systems

Maitanova¹,

Schlüters²,

Hanke³

et al. 2022

Energy Science & Engineering

View full text Add to dashboard Cite

The high share of power generation based on fluctuating renewable energy sources, especially wind and solar, has increased the levels of variability and uncertainty in power systems. The aim of this study is to develop a method for quantifying the variability of photovoltaic (PV) systems. The developed method investigates the power measurements of a PV system and quantifies its power and energy fluctuations in three steps. The first includes a classification of days into three classes according to the variability and power output of the PV system. The second consists of computing the empirical cumulative distribution functions of PV power ramps for the given classes. The third calculates the PV daily energy fluctuations based on predicted PV power output. This method of PV variability quantification was then applied to seven rooftop PV systems in different locations that feature different installed capacities, years of installation, orientations and solar cell types. The testing of this method indicates that it can be used to quantify the power and energy fluctuations of different PV systems, independent of their locations and technical characteristics. The proposed method was developed as part of a general approach for quantifying the flexibility potential of buildings and city districts with PV systems.

show abstract