Transmission network expansion planning with stochastic multivariate load and wind modeling

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Title: Transmission network expansion planning with stochastic multivariate load and wind modeling
Authors: Sun, M
Konstantelos, I
Strbac, G
Item Type: Conference Paper
Abstract: The increasing penetration of intermittent energy sources along with the introduction of shiftable l oad elements renders transmission network expansion planning (TNEP) a challenging task . In particular, t he ever - expanding spectrum of possible operating points necessitate s the consideration of a very large number of scenarios within a cost - benefit framewo rk, leading to computational issues. On the other hand, failure to adequately capture the behavior of stochastic parameters can lead to inefficient expansion plans. This paper proposes a novel TNEP framework that accommodates multiple sources of operation al stochasticity . Inter - spatial dependencies between load s in various locations and intermittent generation units ’ output are captured by using a multivariate Gaussian copula. This statistical model forms the basis of a Monte Carlo analysis framework for exploring the uncertainty state - space. Benders decomposition is applied to efficiently split the investment and operation problems . The advantages of the proposed model are demonstrated through a case study on the IEEE 1 18 - bus system . By evaluating the confidence interval of the optimality gap , the advantages of the proposed approach over conventional techniques are clearly demonstrated.
Issue Date: 16-Oct-2016
Date of Acceptance: 31-May-2016
Publisher: IEEE
Copyright Statement: © 2016 IEEE. This paper is embargoed until publication.
Conference Name: PMAPS 2016
Publication Status: Accepted
Start Date: 2016-10-16
Finish Date: 2016-10-20
Conference Place: Beijing
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering
Centre for Environmental Policy
Faculty of Natural Sciences

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