Probabilistic Assessment of Photovoltaic Hosting Capacity in Finnish LV Networks

Arshad, Ammar; Lehtonen, Matti

doi:10.1109/isgteurope.2019.8905450

Cited by 5 publications

(8 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As for example, the production of photovoltaic energy from a particular PVP is uncertain, as it depends on solar irradiation, which in turn is influenced by changes in climatic conditions. Apart from these uncertainties, the power demand from consumers, the size of the PVP that will be added to the grid, their respective geographic location and many other technical and constructive characteristics are often unknown [12,[18][19][20]. Therefore, stochastic methods consider the possibility of occurrence and the variations present on the distribution network amidst these uncertainties and culminate into a probabilistic power flow.…”

Section: Stochastic Methodsmentioning

confidence: 99%

Hosting Capacity Calculation Deploying a Hybrid Methodology: A Case Study Concerning the Intermittent Nature of Photovoltaic Distributed Generation and the Variable Nature of Energy Consumption in a Medium Voltage Distribution Network

Lima

Freitas

2022

Energies

View full text Add to dashboard Cite

The main methods employed for Hosting Capacity (HC) calculations are basically classified into deterministic, stochastic and time series. In this scenario, the authors herein propose a hybrid methodology, which shows efficiency and ease of implementation. Besides the method presented, it is also calculated a hosting capacity of a real feeder which was modeled and analyzed taking into consideration variations in load and power injected by distributed generation sources. The proposed hybrid method deploys just one time series with the feeder power demand data, which are easily obtained from the feeder’s origin substation. Low voltage loads were modeled by the ratio between their maximum demands and the feeder maximum demand, making easier to start up the grid model implementation. Hence, the advantages of the proposed methodology can be summarized in: (a) easy to obtain the input parameters; (b) agility in implementing the study; (c) higher processing speed and (d) results consistent with the time series method. Finally, in view of the advantages and obtained results, the proposed hybrid methodology shows itself as a promising and attractive tool for the studies of hosting capacity by the utilities.

show abstract

Section: Stochastic Methodsmentioning

confidence: 99%

Hosting Capacity Calculation Deploying a Hybrid Methodology: A Case Study Concerning the Intermittent Nature of Photovoltaic Distributed Generation and the Variable Nature of Energy Consumption in a Medium Voltage Distribution Network

Lima

Freitas

2022

Energies

View full text Add to dashboard Cite

show abstract

“…In the case of balanced and unbalanced PV installations, the largest HC value was observed when the overvoltage limit was +10% of the nominal 19 . The network reinforcement along with the use of OLTC improved the OV tolerance to 60% penetration from 30% (no OLTC employed).…”

Section: Limiting Constraintsmentioning

confidence: 98%

“…As per the literature, the HC definition is relative to the reference that is being utilized in the study and varies between 20% and 200% of the selected reference 19 . The utilized references for the determination of HC are: …”

Section: Hosting Capacity Defining Criteriamentioning

confidence: 99%

“…The HC relative to the roof space is the ratio of the available space for the PV system installation at the customer vicinity to the total PV capacity integration. Arshad and Lehtonen 19 considered roof space availability as a major defining parameter. According to the study the purely rural region has many empty spaces so HC can be enhanced.…”

Section: Hosting Capacity Defining Criteriamentioning

confidence: 99%

“…Implementing voltage regulators can also become useful in regulating voltage levels 59 . Different kinds of literature also presented the idea of optimal placement of battery energy storage system (BESS) to control voltages in a distribution network 19,60 . Usage of these techniques is presented in detail in Section 6.…”

Section: Limiting Constraintsmentioning

confidence: 99%

See 2 more Smart Citations

Hosting capacity in distribution grids: A review of definitions, performance indices, determination methodologies, and enhancement techniques

Qamar

Arshad

Mahmoud

et al. 2023

Energy Science & Engineering

Self Cite

View full text Add to dashboard Cite

For the past few years, the world has seen a great shift toward renewable energy resources from conventional ones. But the ever‐increasing integration of distributed generation (DG) to the electrical network leads to integration limiting constraints like overvoltage, under voltage, harmonics, equipment ampacity violations, and failure of protection schemes. Therefore, an extensive investigation of the methodologies in which DGs can be incorporated into the electrical network is presented in this manuscript. This article provides an extensive review of all the hosting capacity (HC) terms, references, limiting constraints of the studied networks, geographical segregation, and their determination methodologies. Moreover, the factors defining the HCs of various networks and the architectures employed to increase them, are also explained briefly in the conducted review study.

show abstract

Photovoltaic hosting capacity improvement based on the economic comparison between curtailment and network upgrade

Fatima

Püvi

Pourakbari‐Kasmaei

et al. 2023

IET Generation Trans & Dist

Self Cite

View full text Add to dashboard Cite

The upcoming network investment decisions and regulatory framework adopted by distribution system operators (DSOs) are most likely to be impacted by the integration of fluctuating distributed generation. The economical hosting capacity (HC) improvement method is investigated in this paper as a trade‐off between curtailment and upgrade using a Monte Carlo simulation procedure. The associated costs of both methods are vital indicators for network operators that are trying to maximize the HC and minimize cost. In addition, the breakeven point where curtailment and upgrade costs intersect is the decisive point at which network upgrade becomes sensible as marginal curtailment cost exceeds upgrade cost. A shift in global climate conditions can impact the photovoltaic (PV) levels that motivate network operators to investigate PV penetration, especially in colder climate regions. Thus, the primary objective of this paper is to investigate the shift of the breakeven point to guide DSOs to either adopt PV curtailment as a temporary measure or grid upgrade as a risk aversion strategy considering Finnish climate and load patterns. The real‐time load and PV generation data are utilized for the simulations to consider the dynamic performance indication of three Finnish distribution networks. Curtailment remains a low‐cost option to obtain a percentage HC rise of 13%, 7%, and 8% for rural, suburban, and urban regions, respectively, beyond which curtailment compensation cost surpasses upgrade cost. In essence, PV curtailment serves as an immediate and least‐cost solution to relieve network violations and defer network investment until the HC level (118%, 106%, 97%) making the upgrade a practical option afterwards.

show abstract

Probabilistic Assessment of Photovoltaic Hosting Capacity in Finnish LV Networks

Cited by 5 publications

References 28 publications

Hosting Capacity Calculation Deploying a Hybrid Methodology: A Case Study Concerning the Intermittent Nature of Photovoltaic Distributed Generation and the Variable Nature of Energy Consumption in a Medium Voltage Distribution Network

Hosting Capacity Calculation Deploying a Hybrid Methodology: A Case Study Concerning the Intermittent Nature of Photovoltaic Distributed Generation and the Variable Nature of Energy Consumption in a Medium Voltage Distribution Network

Hosting capacity in distribution grids: A review of definitions, performance indices, determination methodologies, and enhancement techniques

Photovoltaic hosting capacity improvement based on the economic comparison between curtailment and network upgrade

Contact Info

Product

Resources

About