NDLI: Placement of large-scale utility-owned wind distributed generation based on probabilistic forecasting of line congestion

Content Provider	IET Digital Library
Author	Masaud, Tarek Medalel Mistry, Ronak Deepak Sen, P. K.
Abstract	Integration of large-scale utility-owned distributed generation (DG) units can be a vital technique in relieving transmission line congestion and improving the reliability of the power grid. However, the impact of DG installation on line congestion management is significant at locations where transmission lines are most heavily loaded. This study presents a novel probabilistic method to forecast the most heavily loaded lines in the transmission network that might be at a higher risk of congestion. The proposed method can be utilised for determining candidate lines to install DG with the objective of relieving line congestion. The proposed method adopts the cumulative probability distribution function that accounts for the uncertainty of line loading. Furthermore, a congestion improvement ratio is developed to investigate the DG location impact on line congestion. The forecasting method is tested on a small modified IEEE 5-Bus system. In order to demonstrate the proposed forecasting method on a larger and more complex system with several generators, the method is also tested on IEEE 30-Bus test system. The simulation results have confirmed the effectiveness of the proposed method.
Starting Page	979
Ending Page	986
Page Count	8
ISSN	17521416
Volume Number	11
e-ISSN	17521424
Issue Number	Issue 7, Jun (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/11/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2016.0944
Journal	IET Renewable Power Generation
Publisher Date	2017-04-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Congestion Improvement Ratio Cumulative Probability Distribution Function DG Installation DG Location Impact Distributed Power Generation IEEE 30-bus Test System Large-scale Utility-owned DG Units Large-scale Utility-owned Wind Distributed Generation Line Congestion Management Line Loading Uncertainty Load Forecasting Power Generation Reliability Power Grid Reliability Power System Planning And Layout Power Transmission Line Probabilistic Forecasting Reliability Small-modified IEEE 5-bus System Transmission Line Congestion Transmission Network Wind Power Plant
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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