Transmission loading relief solutions for congestion management

Tak Niimura; Satoshi Niioka; Ryuichi Yokoyama

doi:10.1016/S0378-7796(03)00088-9

Transmission loading relief solutions for congestion management

Tak Niimura^*, Satoshi Niioka, Ryuichi Yokoyama

^*Corresponding author for this work

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

21 Citations (Scopus)

Abstract

This paper proposes an approach to transmission congestion management in a deregulated power system. Congestion in a transmission system can result in very high locational prices for electricity determined by marginal costs from optimal power flow (OPF) solutions. In heavily congested conditions, physical transmission congestion can be relieved by curtailing a small portion of non-firm transactions. Resultant marginal cost-based electricity prices should drastically decrease. Simple and transparent indices are introduced so that both load and supplier can express their levels of acceptance of the congestion management process, and the system operator can select the most effective and desirable congestion relief measures. The proposed approach is tested on a modified IEEE 30 bus system.

Original language	English
Pages (from-to)	73-78
Number of pages	6
Journal	Electric Power Systems Research
Volume	67
Issue number	2
DOIs	https://doi.org/10.1016/S0378-7796(03)00088-9
Publication status	Published - 2003 Nov

Keywords

Congestion
Electricity utility deregulation
Load curtailment
Optimal power flow
Pool system
Redispatch

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1016/S0378-7796(03)00088-9

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abstract = "This paper proposes an approach to transmission congestion management in a deregulated power system. Congestion in a transmission system can result in very high locational prices for electricity determined by marginal costs from optimal power flow (OPF) solutions. In heavily congested conditions, physical transmission congestion can be relieved by curtailing a small portion of non-firm transactions. Resultant marginal cost-based electricity prices should drastically decrease. Simple and transparent indices are introduced so that both load and supplier can express their levels of acceptance of the congestion management process, and the system operator can select the most effective and desirable congestion relief measures. The proposed approach is tested on a modified IEEE 30 bus system.",

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AU - Niimura, Tak

AU - Niioka, Satoshi

AU - Yokoyama, Ryuichi

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N2 - This paper proposes an approach to transmission congestion management in a deregulated power system. Congestion in a transmission system can result in very high locational prices for electricity determined by marginal costs from optimal power flow (OPF) solutions. In heavily congested conditions, physical transmission congestion can be relieved by curtailing a small portion of non-firm transactions. Resultant marginal cost-based electricity prices should drastically decrease. Simple and transparent indices are introduced so that both load and supplier can express their levels of acceptance of the congestion management process, and the system operator can select the most effective and desirable congestion relief measures. The proposed approach is tested on a modified IEEE 30 bus system.

AB - This paper proposes an approach to transmission congestion management in a deregulated power system. Congestion in a transmission system can result in very high locational prices for electricity determined by marginal costs from optimal power flow (OPF) solutions. In heavily congested conditions, physical transmission congestion can be relieved by curtailing a small portion of non-firm transactions. Resultant marginal cost-based electricity prices should drastically decrease. Simple and transparent indices are introduced so that both load and supplier can express their levels of acceptance of the congestion management process, and the system operator can select the most effective and desirable congestion relief measures. The proposed approach is tested on a modified IEEE 30 bus system.

KW - Congestion

KW - Electricity utility deregulation

KW - Load curtailment

KW - Optimal power flow

KW - Pool system

KW - Redispatch

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Transmission loading relief solutions for congestion management

Abstract

Keywords

ASJC Scopus subject areas

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