MOPSO-based multi-objective TSO planning considering uncertainties

Qi Wang; Chunyu Zhang; Yi Ding; Jacob Østergaard

doi:10.1109/ISGTEurope.2014.7028762

MOPSO-based multi-objective TSO planning considering uncertainties

Qi Wang
, Chunyu Zhang
, Yi Ding
, Jacob Østergaard

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

The concerns of sustainability and climate change have posed a significant growth of renewable energy associated with smart grid technologies. Various uncertainties are the major problems need to be handled by transmission system operator (TSO) planning. This paper mainly focuses on three uncertain factors, i.e. load growth, generation capacity and line faults, and aims to enhance the transmission system via the multi-objective TSO planning (MOTP) approach. The proposed MOTP approach optimizes three objectives simultaneously, namely the probabilistic available transfer capability (PATC), investment cost and power outage cost. A two-phase MOPSO algorithm is employed to solve this optimization problem, which can accelerate the convergence and guarantee the diversity ofPareto-optimal front set as well. The feasibility and effectiveness of both the proposed multi-objective planning approach and the improved MOPSO have been verified by the 77-bus system.

Original language	English
Title of host publication	Proceedings of IEEE PES ISGT Europe 2014:
Number of pages	5
Publisher	IEEE
Publication date	2014
DOIs	https://doi.org/10.1109/ISGTEurope.2014.7028762
Publication status	Published - 2014
Event	2014 IEEE PES Innovative Smart Grid Technologies Conference, Europe - Istanbul Technical University, Istanbul, Turkey Duration: 12 Oct 2014 → 15 Oct 2014 Conference number: 5 https://ieeexplore.ieee.org/xpl/conhome/7001799/proceeding

Conference

Conference	2014 IEEE PES Innovative Smart Grid Technologies Conference, Europe
Number	5
Location	Istanbul Technical University
Country/Territory	Turkey
City	Istanbul
Period	12/10/2014 → 15/10/2014
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7001799/proceeding

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 13 Climate Action

Keywords

Multi-objective TSO planning
Uncertainties
Smart grid
Two-phase MOPSO

Access to Document

10.1109/ISGTEurope.2014.7028762

MOPSO based multi objective TSO planning considering uncertainties revisedSubmitted manuscript, 393 KB

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Cite this

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title = "MOPSO-based multi-objective TSO planning considering uncertainties",

abstract = "The concerns of sustainability and climate change have posed a significant growth of renewable energy associated with smart grid technologies. Various uncertainties are the major problems need to be handled by transmission system operator (TSO) planning. This paper mainly focuses on three uncertain factors, i.e. load growth, generation capacity and line faults, and aims to enhance the transmission system via the multi-objective TSO planning (MOTP) approach. The proposed MOTP approach optimizes three objectives simultaneously, namely the probabilistic available transfer capability (PATC), investment cost and power outage cost. A two-phase MOPSO algorithm is employed to solve this optimization problem, which can accelerate the convergence and guarantee the diversity ofPareto-optimal front set as well. The feasibility and effectiveness of both the proposed multi-objective planning approach and the improved MOPSO have been verified by the 77-bus system.",

keywords = "Multi-objective TSO planning, Uncertainties, Smart grid, Two-phase MOPSO",

author = "Qi Wang and Chunyu Zhang and Yi Ding and Jacob {\O}stergaard",

year = "2014",

doi = "10.1109/ISGTEurope.2014.7028762",

language = "English",

booktitle = "Proceedings of IEEE PES ISGT Europe 2014:",

publisher = "IEEE",

address = "United States",

note = "2014 IEEE PES Innovative Smart Grid Technologies Conference, Europe, ISCT Europe 2014 ; Conference date: 12-10-2014 Through 15-10-2014",

url = "https://ieeexplore.ieee.org/xpl/conhome/7001799/proceeding",

}

TY - GEN

T1 - MOPSO-based multi-objective TSO planning considering uncertainties

AU - Wang, Qi

AU - Zhang, Chunyu

AU - Ding, Yi

AU - Østergaard, Jacob

N1 - Conference code: 5

PY - 2014

Y1 - 2014

N2 - The concerns of sustainability and climate change have posed a significant growth of renewable energy associated with smart grid technologies. Various uncertainties are the major problems need to be handled by transmission system operator (TSO) planning. This paper mainly focuses on three uncertain factors, i.e. load growth, generation capacity and line faults, and aims to enhance the transmission system via the multi-objective TSO planning (MOTP) approach. The proposed MOTP approach optimizes three objectives simultaneously, namely the probabilistic available transfer capability (PATC), investment cost and power outage cost. A two-phase MOPSO algorithm is employed to solve this optimization problem, which can accelerate the convergence and guarantee the diversity ofPareto-optimal front set as well. The feasibility and effectiveness of both the proposed multi-objective planning approach and the improved MOPSO have been verified by the 77-bus system.

AB - The concerns of sustainability and climate change have posed a significant growth of renewable energy associated with smart grid technologies. Various uncertainties are the major problems need to be handled by transmission system operator (TSO) planning. This paper mainly focuses on three uncertain factors, i.e. load growth, generation capacity and line faults, and aims to enhance the transmission system via the multi-objective TSO planning (MOTP) approach. The proposed MOTP approach optimizes three objectives simultaneously, namely the probabilistic available transfer capability (PATC), investment cost and power outage cost. A two-phase MOPSO algorithm is employed to solve this optimization problem, which can accelerate the convergence and guarantee the diversity ofPareto-optimal front set as well. The feasibility and effectiveness of both the proposed multi-objective planning approach and the improved MOPSO have been verified by the 77-bus system.

KW - Multi-objective TSO planning

KW - Uncertainties

KW - Smart grid

KW - Two-phase MOPSO

U2 - 10.1109/ISGTEurope.2014.7028762

DO - 10.1109/ISGTEurope.2014.7028762

M3 - Article in proceedings

BT - Proceedings of IEEE PES ISGT Europe 2014:

PB - IEEE

T2 - 2014 IEEE PES Innovative Smart Grid Technologies Conference, Europe

Y2 - 12 October 2014 through 15 October 2014

ER -

MOPSO-based multi-objective TSO planning considering uncertainties

Abstract

Conference

UN SDGs

Keywords

Access to Document

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