NDLI: Locational Capacity Credit Evaluation

Content Provider	IEEE Xplore Digital Library
Author	Pudaruth, G.R. Furong Li
Copyright Year	1969
Abstract	Boosted by U.K. governmental targets of securing 10% of electricity generation from renewable resources by 2010 and 20% by 2020 and widespread public support for renewable energy, distributed generators (DGs) are rapidly increasing in electrical power systems. Among the renewable DGs, wind energy is emerging as the popular choice due to its mature technology and low operation and maintenance costs. This paper utilizes the reliability aspects of electrical power systems to provide a probabilistic approach to determine the capacity credit (CC) of distributed generators. Monte Carlo simulations are employed to cater for the stochastic nature of the simulations and each trial is validated using the Newton-Raphson optimal load flow solution. Bernoulli trials are used to simulate the availability of network components. An algorithm to evaluate the capacity credit due to distributed generation (DG) connected in the network is shown. Hence, the amount of conventional generation which can be backed off from the bulk supply point (BSP) of the distribution network can be quantified. Wind energy production is known to depend on the wind regime experienced by the wind turbines, as well as the geographical landscape and the presence of wind obstacles, which in turn determines capacity credit. Having verified that adding a specific DG at each node does not violate any operating constraints, it was assumed that thermal constraints would not affect CC in this particular system. In a more in-depth study, it is shown in this paper that capacity credit also varies with the different voltage levels at which the wind turbine generators are connected and the loading level of the distribution network. Moreover, it is shown that CC does not vary with the base case reliability, but rather with wind penetration levels.
Sponsorship	IEEE Power Engineering Society
Starting Page	1072
Ending Page	1079
Page Count	8
File Size	566657
File Format	PDF
ISSN	08858950
Volume Number	24
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind energy generation Power system reliability Distributed power generation Power generation Power system simulation Wind energy Wind turbines Renewable energy resources Maintenance Costs wind energy Capacity credit distribution systems Monte Carlo simulation power system planning
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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

Reliability Evaluation for Distribution System With Renewable Distributed Generation During Islanded Mode of Operation

Impact of demand response on capacity credit of renewable distributed generation

Reliability Evaluation Considering Wind and Hydro Power Coordination

Comparison of Capacity Credit Calculation Methods for Conventional Power Plants and Wind Power

Distributed Energy Resources Impact on Distribution System Reliability Under Load Transfer Restrictions

Chronological Power Flow for Planning Transmission Systems Considering Intermittent Sources

A simplified wind power generation model for reliability evaluation

A comparison between chronological and probabilistic methods to estimate wind power capacity credit

Analytical and Monte Carlo approaches to evaluate probability distributions of interruption duration

Locational Capacity Credit Evaluation

Similar Documents

Reliability Evaluation for Distribution System With Renewable Distributed Generation During Islanded Mode of Operation

Impact of demand response on capacity credit of renewable distributed generation

Reliability Evaluation Considering Wind and Hydro Power Coordination

Comparison of Capacity Credit Calculation Methods for Conventional Power Plants and Wind Power

Distributed Energy Resources Impact on Distribution System Reliability Under Load Transfer Restrictions

Chronological Power Flow for Planning Transmission Systems Considering Intermittent Sources

A simplified wind power generation model for reliability evaluation

A comparison between chronological and probabilistic methods to estimate wind power capacity credit

Analytical and Monte Carlo approaches to evaluate probability distributions of interruption duration

Locational Capacity Credit Evaluation