NDLI: Probabilistic direct load flow algorithm for unbalanced distribution networks considering uncertainties of PV and load

Content Provider	IET Digital Library
Author	Fu, Yang Liu, Huanhuan Su, Xiangjing Mi, Yang Tian, Shuxin
Abstract	The increasing penetration of distributed generations such as rooftop photovoltaics (PVs) brings about great challenges to distribution network planning and operation, due to the great uncertainty and intermittence. Although many probabilistic load flow (PLF) approaches have been proposed to handle uncertainties in power systems, PLFs for unbalanced distribution networks with superior computational performance are still under demand. Therefore, this study presents a novel PLF algorithm for unbalanced distribution networks considering the uncertainties introduced by PVs and loads. Taking PVs and loads as the random inputs while three-phase voltages and network loss as the random outputs, the proposed PLF integrates the cumulant method and the Gram–Charlier expansion with the advanced direct load flow (DLF) approach to effectively address the unbalanced distribution PLF problems. Finally, the effectiveness and superior performance in terms of efficiency, accuracy, and robustness of the proposed PLF algorithm are verified by detailed simulations and compared with the Monte–Carlo Simulation method on a real Australian unbalanced distribution network.
Starting Page	1968
Ending Page	1980
Page Count	13
ISSN	17521416
Volume Number	13
e-ISSN	17521424
Issue Number	Issue 11, Aug (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/13/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2018.5802
Journal	IET Renewable Power Generation
Publisher Date	2019-05-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Advanced Direct Load Flow Approach Australian Unbalanced Distribution Network Distributed Generations Distributed Power Generation Distribution Network Distribution Network Planning Great Uncertainty Handle Uncertainties Intermittence Load Flow Monte Carlo Method Network Loss Novel PLF Algorithm Optimisation Technique Power Distribution Planning Power System Planning And Layout Probabilistic Direct Load Flow Algorithm Probabilistic Load Flow Approach Probability PVs Statistics Unbalanced Distribution Network Unbalanced Distribution PLF Problem
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Heuristic probabilistic power flow algorithm for microgrids operation and planning

New approach for the probabilistic power flow of distribution systems based on data clustering

PPSO method for distribution network reconfiguration considering the stochastic uncertainty of wind turbine, photovoltaic and load

Optimal distributed generation placement under uncertainties based on point estimate method embedded genetic algorithm

Multi-objective planning model for multi-phase distribution system under uncertainty considering reconfiguration

Probabilistic optimal robust multistage feeder routing under load forecasting uncertainty

A Novel Hybrid Approach for Optimal Placement of Non-Dispatchable Distributed Generations in Radial Distribution System

Monte-Carlo based approach to consider the cost of voltage dip and long duration interruption in optimal planning of SDGs

A Parallel Probabilistic Load Flow Method Considering Nodal Correlations

Probabilistic direct load flow algorithm for unbalanced distribution networks considering uncertainties of PV and load

Similar Documents

Heuristic probabilistic power flow algorithm for microgrids operation and planning

New approach for the probabilistic power flow of distribution systems based on data clustering

PPSO method for distribution network reconfiguration considering the stochastic uncertainty of wind turbine, photovoltaic and load

Optimal distributed generation placement under uncertainties based on point estimate method embedded genetic algorithm

Multi-objective planning model for multi-phase distribution system under uncertainty considering reconfiguration

Probabilistic optimal robust multistage feeder routing under load forecasting uncertainty

A Novel Hybrid Approach for Optimal Placement of Non-Dispatchable Distributed Generations in Radial Distribution System

Monte-Carlo based approach to consider the cost of voltage dip and long duration interruption in optimal planning of SDGs

A Parallel Probabilistic Load Flow Method Considering Nodal Correlations

Probabilistic direct load flow algorithm for unbalanced distribution networks considering uncertainties of PV and load