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access icon free Two-stage algorithm for efficient transmission expansion planning with renewable energy resources

© The Institution of Engineering and Technology
Received 04/02/2016, Accepted 05/10/2016, Revised 05/09/2016, Published 22/02/2017

In this study, a ‘two-stage’ deterministic algorithm an for efficient transmission expansion planning with renewable energy (RE) resources under the assumption that existing conventional generators provide the reserve to mitigate RE generation forecast error has been proposed. Zero-RE penetration has been considered as a ‘reference scenario’, as well as cost-minimisation objective has been considered as a planning criterion in Stage 1. In the proposed algorithm, Stage 2 is required to be solved only if the network performance degrades in relation to the reference scenario. In Stage 2, congestion cost is also incorporated as a sub-objective. Here, the locational marginal prices of the unit scheduling problem obtained from the solution of Stage 1 have been used to calculate the congestion cost. In addition to being computationally tractable, the proposed algorithm guarantees performance improvement in the network. The planning horizon is divided into smaller blocks to facilitate delayed investment. When implemented on an IEEE 24-bus reliability test system, the proposed algorithm generated minimum cost plan with better performance.

Inspec keywords: power transmission planning; power generation scheduling; minimisation; power transmission reliability; deterministic algorithms; investment; renewable energy sources

Other keywords: planning horizon; RE generation forecast error mitigation; renewable energy resources; network performance; reference scenario; locational marginal prices; two-stage deterministic algorithm; zero-RE penetration; delayed investment; congestion cost; unit scheduling problem; IEEE 24-bus reliability test system; efficient transmission expansion planning; cost-minimisation objective

Subjects: Optimisation techniques; Reliability; a.c. transmission; Power system planning and layout

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