Modeling operational effects of wind generation within national long-term infrastructure planning software

Venkat Krishnan; Trishna Das; Eduardo Ibanez; Cristian A. Lopez; James D. McCalley

doi:10.1109/TPWRS.2012.2216293

Modeling operational effects of wind generation within national long-term infrastructure planning software

Venkat Krishnan
, Trishna Das
, Eduardo Ibanez
, Cristian A. Lopez
, James D. McCalley

Iowa State University
Transmission and Grid Integration Group
National Renewable Energy Laboratory
University of Puerto Rico

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

Abstract

This paper describes new investment planning software which is multi-sector (fuels, electric, and transportation), multiobjective, national, and long-term (40 years) that identifies a set of non-dominated national investment strategies. It optimizes three objectives: cost, emissions, and system resilience to major disruptions such as the Katrina and Rita hurricanes. Solutions are identified in terms of technologies (generation, transmission, fuel infrastructure, and transportation infrastructure), capacity, investment year, and geographic location. Network topology is respected. This paper focuses on modeling operational effects of growing wind generation in terms of regulation, reserves, ramping capability and capacity, and their influence on planning the future generation portfolios.

Original language	English
Pages (from-to)	1308-1317
Number of pages	10
Journal	IEEE Transactions on Power Systems
Volume	28
Issue number	2
DOIs	https://doi.org/10.1109/TPWRS.2012.2216293
Publication status	Published - 2013
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 17 Partnerships for the Goals

Keywords

Infrastructure planning
Ramping capability
Resilience
Sustainability
Wind variability

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10.1109/TPWRS.2012.2216293

Cite this

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title = "Modeling operational effects of wind generation within national long-term infrastructure planning software",

abstract = "This paper describes new investment planning software which is multi-sector (fuels, electric, and transportation), multiobjective, national, and long-term (40 years) that identifies a set of non-dominated national investment strategies. It optimizes three objectives: cost, emissions, and system resilience to major disruptions such as the Katrina and Rita hurricanes. Solutions are identified in terms of technologies (generation, transmission, fuel infrastructure, and transportation infrastructure), capacity, investment year, and geographic location. Network topology is respected. This paper focuses on modeling operational effects of growing wind generation in terms of regulation, reserves, ramping capability and capacity, and their influence on planning the future generation portfolios.",

keywords = "Infrastructure planning, Ramping capability, Resilience, Sustainability, Wind variability",

author = "Venkat Krishnan and Trishna Das and Eduardo Ibanez and Lopez, \{Cristian A.\} and McCalley, \{James D.\}",

year = "2013",

doi = "10.1109/TPWRS.2012.2216293",

language = "English",

volume = "28",

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journal = "IEEE Transactions on Power Systems",

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AU - Krishnan, Venkat

AU - Das, Trishna

AU - Ibanez, Eduardo

AU - Lopez, Cristian A.

AU - McCalley, James D.

PY - 2013

Y1 - 2013

N2 - This paper describes new investment planning software which is multi-sector (fuels, electric, and transportation), multiobjective, national, and long-term (40 years) that identifies a set of non-dominated national investment strategies. It optimizes three objectives: cost, emissions, and system resilience to major disruptions such as the Katrina and Rita hurricanes. Solutions are identified in terms of technologies (generation, transmission, fuel infrastructure, and transportation infrastructure), capacity, investment year, and geographic location. Network topology is respected. This paper focuses on modeling operational effects of growing wind generation in terms of regulation, reserves, ramping capability and capacity, and their influence on planning the future generation portfolios.

AB - This paper describes new investment planning software which is multi-sector (fuels, electric, and transportation), multiobjective, national, and long-term (40 years) that identifies a set of non-dominated national investment strategies. It optimizes three objectives: cost, emissions, and system resilience to major disruptions such as the Katrina and Rita hurricanes. Solutions are identified in terms of technologies (generation, transmission, fuel infrastructure, and transportation infrastructure), capacity, investment year, and geographic location. Network topology is respected. This paper focuses on modeling operational effects of growing wind generation in terms of regulation, reserves, ramping capability and capacity, and their influence on planning the future generation portfolios.

KW - Infrastructure planning

KW - Ramping capability

KW - Resilience

KW - Sustainability

KW - Wind variability

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M3 - Article

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JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

IS - 2

ER -

Modeling operational effects of wind generation within national long-term infrastructure planning software

Abstract

UN SDGs

Keywords

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