A New Decomposition Based Method for Optimal Expansion Planning of Large Transmission Networks

Victor Levi, Milan Calovic

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This paper presents a new method for long range transmission network expansion planning based on the decomposition principle. The overall transmission expansion planning task is divided into two problems, the first one dealing with investments, and the second with operations. The investment problem is specified as the minimum cost of network programming, leading to the decomposition into the model of minimum load curtailment and the proposed model of (local) marginal network. The operation model problem is solved by applying Monte Carlo simulation with suitable control strategies and additional reliability constraints. The final result is the software package, verified on test examples, as well as on the real transmission netork of the power pool of eastern Yugoslavia.
    Original languageEnglish
    Pages (from-to)937-943
    JournalIEEE Transactions on Power Systems
    Volume6
    Issue number3
    Publication statusPublished - Aug 1991

    Keywords

    • Transmission network expanson planning; Decompsition-aggregation planning methodology; Linear Programming; Monte Carlo simulation

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