Flexible Transmission Expansion Planning With Uncertainties in an Electricity Market

J.H. Zhao; Z.Y. Dong; P. Lindsay; Kitpo Wong

doi:10.1109/TPWRS.2008.2008681

Flexible Transmission Expansion Planning With Uncertainties in an Electricity Market

J.H. Zhao, Z.Y. Dong, P. Lindsay, Kitpo Wong

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

138 Citations (Scopus)

Abstract

Deregulation of the electric power industry hasintroduced new uncertainties for market participants and madeplanning of transmission expansion more difficult. More flexibletransmission expansion plans are needed, to cope with theincreased risks. In this paper, a novel planning approach is proposedto meet the above challenge. In our approach, the planningprocess is modeled as a mixed integer nonlinear programming(MINLP) problem, so that conflicting objectives can be optimizedsimultaneously. To minimize planning risks, our method identifiesseveral scenarios based on statistics and expert knowledge; themost flexible expansion plan is selected as the plan that has leastadaptation cost. The proposed method is tested with the IEEE14-bus system. Promising results are obtained to demonstrate theeffectiveness of our method.

Original language	English
Pages (from-to)	479-488
Journal	IEEE Transactions on Power Systems
Volume	24
Issue number	1
DOIs	https://doi.org/10.1109/TPWRS.2008.2008681
Publication status	Published - 2009

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abstract = "Deregulation of the electric power industry hasintroduced new uncertainties for market participants and madeplanning of transmission expansion more difficult. More flexibletransmission expansion plans are needed, to cope with theincreased risks. In this paper, a novel planning approach is proposedto meet the above challenge. In our approach, the planningprocess is modeled as a mixed integer nonlinear programming(MINLP) problem, so that conflicting objectives can be optimizedsimultaneously. To minimize planning risks, our method identifiesseveral scenarios based on statistics and expert knowledge; themost flexible expansion plan is selected as the plan that has leastadaptation cost. The proposed method is tested with the IEEE14-bus system. Promising results are obtained to demonstrate theeffectiveness of our method.",

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AB - Deregulation of the electric power industry hasintroduced new uncertainties for market participants and madeplanning of transmission expansion more difficult. More flexibletransmission expansion plans are needed, to cope with theincreased risks. In this paper, a novel planning approach is proposedto meet the above challenge. In our approach, the planningprocess is modeled as a mixed integer nonlinear programming(MINLP) problem, so that conflicting objectives can be optimizedsimultaneously. To minimize planning risks, our method identifiesseveral scenarios based on statistics and expert knowledge; themost flexible expansion plan is selected as the plan that has leastadaptation cost. The proposed method is tested with the IEEE14-bus system. Promising results are obtained to demonstrate theeffectiveness of our method.

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Flexible Transmission Expansion Planning With Uncertainties in an Electricity Market

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