Abstract
As global demand for energy continues to grow and electricity assets are aging, one of the challenges is to meet the energy demand without causing too much stress on the power system. Congestion occurs when transmission capacity is not sufficient to accommodate system constraints to meet the energy demand. This study aims to investigate how a virtual power plant (VPP), including solar photovoltaic (PV) generation and energy storage capacity, can help to alleviate congestion. In this paper, locational marginal price (LMP) is used as economic indicator to quantity the cost of congestion, the difference in LMP between two connected buses indicates the degree of congestion. After identifying the congested lines, a power flow sensitivity analysis is carried out to identify nodes that have the most impacts on those congested lines. Solar PV and energy storage is optimally installed in those nodes to manage congestion. The effectiveness of the proposed method is tested on IEEE 14-bus system.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE Innovative Smart Grid Technologies - Asia |
| Subtitle of host publication | Smart Grid for Smart Community, ISGT-Asia 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538649503 |
| DOIs | |
| Publication status | Published - Jun 8 2018 |
| Event | 7th IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2017 - Auckland, New Zealand Duration: Dec 4 2017 → Dec 7 2017 |
Publication series
| Name | 2017 IEEE Innovative Smart Grid Technologies - Asia: Smart Grid for Smart Community, ISGT-Asia 2017 |
|---|
Conference
| Conference | 7th IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2017 |
|---|---|
| Country | New Zealand |
| City | Auckland |
| Period | 12/4/17 → 12/7/17 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Control and Optimization
- Safety, Risk, Reliability and Quality
Cite this
Congestion management in smart grids using virtual power plants as flexible resources. / Junhua, Min; Kumar, H. S.V.Sivanand; Srinivasan, Dipti.
2017 IEEE Innovative Smart Grid Technologies - Asia: Smart Grid for Smart Community, ISGT-Asia 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6 (2017 IEEE Innovative Smart Grid Technologies - Asia: Smart Grid for Smart Community, ISGT-Asia 2017).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Congestion management in smart grids using virtual power plants as flexible resources
AU - Junhua, Min
AU - Kumar, H. S.V.Sivanand
AU - Srinivasan, Dipti
PY - 2018/6/8
Y1 - 2018/6/8
N2 - As global demand for energy continues to grow and electricity assets are aging, one of the challenges is to meet the energy demand without causing too much stress on the power system. Congestion occurs when transmission capacity is not sufficient to accommodate system constraints to meet the energy demand. This study aims to investigate how a virtual power plant (VPP), including solar photovoltaic (PV) generation and energy storage capacity, can help to alleviate congestion. In this paper, locational marginal price (LMP) is used as economic indicator to quantity the cost of congestion, the difference in LMP between two connected buses indicates the degree of congestion. After identifying the congested lines, a power flow sensitivity analysis is carried out to identify nodes that have the most impacts on those congested lines. Solar PV and energy storage is optimally installed in those nodes to manage congestion. The effectiveness of the proposed method is tested on IEEE 14-bus system.
AB - As global demand for energy continues to grow and electricity assets are aging, one of the challenges is to meet the energy demand without causing too much stress on the power system. Congestion occurs when transmission capacity is not sufficient to accommodate system constraints to meet the energy demand. This study aims to investigate how a virtual power plant (VPP), including solar photovoltaic (PV) generation and energy storage capacity, can help to alleviate congestion. In this paper, locational marginal price (LMP) is used as economic indicator to quantity the cost of congestion, the difference in LMP between two connected buses indicates the degree of congestion. After identifying the congested lines, a power flow sensitivity analysis is carried out to identify nodes that have the most impacts on those congested lines. Solar PV and energy storage is optimally installed in those nodes to manage congestion. The effectiveness of the proposed method is tested on IEEE 14-bus system.
UR - http://www.scopus.com/inward/record.url?scp=85049995345&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049995345&partnerID=8YFLogxK
U2 - 10.1109/ISGT-Asia.2017.8378464
DO - 10.1109/ISGT-Asia.2017.8378464
M3 - Conference contribution
T3 - 2017 IEEE Innovative Smart Grid Technologies - Asia: Smart Grid for Smart Community, ISGT-Asia 2017
SP - 1
EP - 6
BT - 2017 IEEE Innovative Smart Grid Technologies - Asia
PB - Institute of Electrical and Electronics Engineers Inc.
ER -