A linear method for determining the hosting capacity of radial distribution systems

Abad, Mohammad Seydali Seyf; Verbič, Gregor; Chapman, Archie C.; Ma, Jin

doi:10.1109/aupec.2017.8282428

Cited by 6 publications

(9 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The quadratic terms in (4), (5) and 7are the sources of non-convexity in the optimization problem (1). These terms are small and ignoring them in the HC problem results in a sufficiently accurate linear model [15,19].…”

Section: Distribution System Modelmentioning

confidence: 99%

“…These terms are small and ignoring them in the HC problem results in a sufficiently accurate linear model [15,19]. Therefore, equations (4), (5) and 7can be written as:…”

Section: Distribution System Modelmentioning

confidence: 99%

“…The HC problem has been studied considering different constraints [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. In [3,4], optimal power flow methods were proposed to solve the HC problem.…”

Section: Introductionmentioning

confidence: 99%

“…In [3,4], optimal power flow methods were proposed to solve the HC problem. Analytical [5,6], heuristic [7,8], and sequential power flow-based methods [9,10] were also developed to determine the HC. Nonetheless, the uncertainties related to loads, output power of DGs and the impact of electric vehicles (EVs) were not considered in those studies.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Distributionally Robust Distributed Generation Hosting Capacity Assessment in Distribution Systems

Abad

Ahmadyar

et al. 2018

Energies

Self Cite

View full text Add to dashboard Cite

Uncertainties associated with the loads and the output power of distributed generations create challenges in quantifying the integration limits of distributed generations in distribution networks, i.e., hosting capacity. To address this, we propose a distributionally robust optimization-based method to determine the hosting capacity considering the voltage rise, thermal capacity of the feeders and short circuit level constraints. In the proposed method, the uncertain variables are modeled as stochastic variables following ambiguous distributions defined based on the historical data. The distributionally robust optimization model guarantees that the probability of the constraint violation does not exceed a given risk level, which can control robustness of the solution. To solve the distributionally robust optimization model of the hosting capacity, we reformulated it as a joint chance constrained problem, which is solved using the sample average approximation technique. To demonstrate the efficacy of the proposed method, a modified IEEE 33-bus distribution system is used as the test-bed. Simulation results demonstrate how the sample size of historical data affects the hosting capacity. Furthermore, using the proposed method, the impact of electric vehicles aggregated demand and charging stations are investigated on the hosting capacity of different distributed generation technologies.

show abstract

Section: Distribution System Modelmentioning

confidence: 99%

“…These terms are small and ignoring them in the HC problem results in a sufficiently accurate linear model [15,19]. Therefore, equations (4), (5) and 7can be written as:…”

Section: Distribution System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Distributionally Robust Distributed Generation Hosting Capacity Assessment in Distribution Systems

Abad

Ahmadyar

et al. 2018

Energies

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [21], a bilevel programming model was built to calculate the maximal allowable DER penetration capacity while considering load uncertainty and voltage constraints, and an active distribution network management approach was proposed in [22] to maximize DER hosting capacity. A novel method based on linear programming was proposed [23] to attenuate steady state over voltage problems and determine a good approximation of the maximum DER penetration level in radial distribution networks. The authors of [17]- [23] considered the maximal allowable DER penetration mainly from the perspective of the original system structure, which limits the development of DER access.…”

Section: Introductionmentioning

confidence: 99%

Positive Sequence Current Phase-Based Improved Reverse-Power Protection and a PV Hosting Capacity Assessment Method for Spot Networks

et al. 2020

View full text Add to dashboard Cite

A spot network is a special low-voltage distribution network with multiple sources supplying it in parallel. It can significantly enhance supply reliability and is beneficial for integrating a distributed energy resource (DER). However, because traditional reverse power protection in spot networks cannot identify the reverse power cause, DERs, especially photovoltaic (PV) hosting capacity, are limited. Meanwhile, no uniform method exists for assessing the PV injection capacity in spot networks. Based on comparing the positive sequence current phase, this article presents an improved reverse power protection and PV hosting capacity assessment method for spot networks. Current variation is adopted to identify the reverse power cause, and a spot network equivalent model with PV is built. The positive sequence current phase relationship at the reverse power protection location is analysed when different types of short circuit faults occur. A short circuit fault section can be determined by comparing the positive sequence current phase. The influence of the PV output current on the improved reverse power protection performance is analysed. Then, a PV hosting capacity assessment method with improved reverse power is presented based on the PV influence on protection instead of on node voltage. A simulation model based on an actual project is constructed using PSCAD software. The simulation results show that the improved reverse power protection significantly enhances the ability to inject PV into the spot network and operates correctly under faults. The theoretical PV hosting capacity agrees with the simulation results. INDEX TERMS Spot network, reverse power protection, photovoltaic, hosting capacity, assessment method.

show abstract

Distributed generation hosting capacity analysis: An approach using interval-affine arithmetic and power flow sensitivities

Moro,

Trindade,

Costa

et al. 2024

Electric Power Systems Research

View full text Add to dashboard Cite

A linear method for determining the hosting capacity of radial distribution systems

Cited by 6 publications

References 13 publications

Distributionally Robust Distributed Generation Hosting Capacity Assessment in Distribution Systems

Distributionally Robust Distributed Generation Hosting Capacity Assessment in Distribution Systems

Positive Sequence Current Phase-Based Improved Reverse-Power Protection and a PV Hosting Capacity Assessment Method for Spot Networks

Distributed generation hosting capacity analysis: An approach using interval-affine arithmetic and power flow sensitivities

Contact Info

Product

Resources

About