Research on nodal wind power values and optimal accommodation based on locational marginal price

Yuewen Jiang*, Liyun Guo, Shi You

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Under the current grid operation mode, reasonable integration of wind power is conducive to the exertion of its value. In this paper, the line flow transmission margin value considering wind power integration is assimilated into the locational marginal price (LMP). Accordingly, the LMP includes four components: energy consumption, network loss, congestion and line flow transmission margin. Based on the LMP difference of load nodes before and after wind power integration and the idea of power flow tracing, the specific values of different grid-connected wind farms at each node are evaluated, namely, the energy value and the network value of wind power. The load nodes that have a critical impact on wind power accommodation for each wind farm are identified. Moreover, the reserve cost caused by the uncertainty of wind power is considered, in which the maximum total value of all wind farms is set as the optimal objective. Finally, this paper analyses the LMP, value and accommodation of a single wind farm in detail through a microgrid system and an IEEE 118-bus system with multiple wind farms to verify the proposed method.

Original languageEnglish
JournalInternational Journal of Electrical Power and Energy Systems
Volume109
Pages (from-to)343-350
ISSN0142-0615
DOIs
Publication statusPublished - 1 Jul 2019

Keywords

  • LMP
  • Wind power accommodation
  • Wind power value

Cite this

@article{4da28ebcd5d946d2b3ef38997e9f3d9c,
title = "Research on nodal wind power values and optimal accommodation based on locational marginal price",
abstract = "Under the current grid operation mode, reasonable integration of wind power is conducive to the exertion of its value. In this paper, the line flow transmission margin value considering wind power integration is assimilated into the locational marginal price (LMP). Accordingly, the LMP includes four components: energy consumption, network loss, congestion and line flow transmission margin. Based on the LMP difference of load nodes before and after wind power integration and the idea of power flow tracing, the specific values of different grid-connected wind farms at each node are evaluated, namely, the energy value and the network value of wind power. The load nodes that have a critical impact on wind power accommodation for each wind farm are identified. Moreover, the reserve cost caused by the uncertainty of wind power is considered, in which the maximum total value of all wind farms is set as the optimal objective. Finally, this paper analyses the LMP, value and accommodation of a single wind farm in detail through a microgrid system and an IEEE 118-bus system with multiple wind farms to verify the proposed method.",
keywords = "LMP, Wind power accommodation, Wind power value",
author = "Yuewen Jiang and Liyun Guo and Shi You",
year = "2019",
month = "7",
day = "1",
doi = "10.1016/j.ijepes.2019.02.001",
language = "English",
volume = "109",
pages = "343--350",
journal = "International Journal of Electrical Power & Energy Systems",
issn = "0142-0615",
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}

Research on nodal wind power values and optimal accommodation based on locational marginal price. / Jiang, Yuewen; Guo, Liyun; You, Shi.

In: International Journal of Electrical Power and Energy Systems, Vol. 109, 01.07.2019, p. 343-350.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Research on nodal wind power values and optimal accommodation based on locational marginal price

AU - Jiang, Yuewen

AU - Guo, Liyun

AU - You, Shi

PY - 2019/7/1

Y1 - 2019/7/1

N2 - Under the current grid operation mode, reasonable integration of wind power is conducive to the exertion of its value. In this paper, the line flow transmission margin value considering wind power integration is assimilated into the locational marginal price (LMP). Accordingly, the LMP includes four components: energy consumption, network loss, congestion and line flow transmission margin. Based on the LMP difference of load nodes before and after wind power integration and the idea of power flow tracing, the specific values of different grid-connected wind farms at each node are evaluated, namely, the energy value and the network value of wind power. The load nodes that have a critical impact on wind power accommodation for each wind farm are identified. Moreover, the reserve cost caused by the uncertainty of wind power is considered, in which the maximum total value of all wind farms is set as the optimal objective. Finally, this paper analyses the LMP, value and accommodation of a single wind farm in detail through a microgrid system and an IEEE 118-bus system with multiple wind farms to verify the proposed method.

AB - Under the current grid operation mode, reasonable integration of wind power is conducive to the exertion of its value. In this paper, the line flow transmission margin value considering wind power integration is assimilated into the locational marginal price (LMP). Accordingly, the LMP includes four components: energy consumption, network loss, congestion and line flow transmission margin. Based on the LMP difference of load nodes before and after wind power integration and the idea of power flow tracing, the specific values of different grid-connected wind farms at each node are evaluated, namely, the energy value and the network value of wind power. The load nodes that have a critical impact on wind power accommodation for each wind farm are identified. Moreover, the reserve cost caused by the uncertainty of wind power is considered, in which the maximum total value of all wind farms is set as the optimal objective. Finally, this paper analyses the LMP, value and accommodation of a single wind farm in detail through a microgrid system and an IEEE 118-bus system with multiple wind farms to verify the proposed method.

KW - LMP

KW - Wind power accommodation

KW - Wind power value

U2 - 10.1016/j.ijepes.2019.02.001

DO - 10.1016/j.ijepes.2019.02.001

M3 - Journal article

VL - 109

SP - 343

EP - 350

JO - International Journal of Electrical Power & Energy Systems

JF - International Journal of Electrical Power & Energy Systems

SN - 0142-0615

ER -