Time-series analysis of photovoltaic distributed generation impacts on a local distributed network

Abstract

Abstract-Increasing penetration level of photovoltaic (PV) distributed generation (DG) into distribution networks will have many impacts on nominal circuit operating conditions including voltage quality and reverse power flow issues. In U.S. most studies on PVDG impacts on distribution networks are performed for west coast and central states. The objective of this paper is to study the impacts of PVDG integration on local distribution network based on real-world settings for network parameters and time-series analysis. PVDG penetration level is considered to find the hosting capacity of the network without having major issues in terms of voltage quality and reverse power flow. Time-series analyses show that distributed installation of PVDGs on commercial buses has the maximum network energy loss reduction and larger penetration ratios for them. Additionally, the penetration ratio thresholds for which there will be no power quality and reverse power flow issues and optimal allocation of PVDG and penetration levels are identified for different installation scenarios.

The Concept of Dynamic Hosting Capacity for Distributed Energy Resources: Analytics and Practical Considerations

“…As described before through the state of art, recent research has tended to focus on hosting capacity calculation at specific instants of time [30,32,33,37]. These references mostly show the hosting capacity related to voltage regulation and reverse power flow.…”

“…Moreover, general aspects of the hosting capacity calculations have also been discussed, such as performance indices, limits, and calculation methods. Those aspects are discussed in relation to other phenomena as well (overcurrent, voltage unbalance, harmonic, among others) [4,10,11,13,14,[18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37].…”

A Review of the Tools and Methods for Distribution Networks’ Hosting Capacity Calculation

“…The constant values of the DERs in the constant generation method are replaced by the generation profiles of the DERs. Profiles are assigned to all the dynamic components of the network and then load flow calculations are performed for the smallest time step available for the data set [19,[42][43][44]. The size, location or number of DERs is varied until one of the performance indices is violated [19,29,32,44].…”

“…Profiles are assigned to all the dynamic components of the network and then load flow calculations are performed for the smallest time step available for the data set [19,[42][43][44]. The size, location or number of DERs is varied until one of the performance indices is violated [19,29,32,44]. The time series method is highly dependent on data where more data can reveal more information about the effects of DERs dynamics on the HC [19,44].…”

Modeling a Grid-Connected PV/Battery Microgrid System with MPPT Controller

“…6. Perturb -and -observe approach [7] The incremental conductance algorithm (INC) is founded upon the fact that the MPP can be evaluated when the power versus voltage curve is equal to 0. Therefore it is determined that / is equal to zero.…”