In this section
@inproceedings{Sun:2016:10.1109/PMAPS.2016.7764088,
author = {Sun, M and Konstantelos, I and Strbac, G},
doi = {10.1109/PMAPS.2016.7764088},
publisher = {IEEE},
title = {Transmission network expansion planning with stochastic multivariate load and wind modeling},
url = {http://dx.doi.org/10.1109/PMAPS.2016.7764088},
year = {2016}
}
TY - CPAPER
AB - The increasing penetration of intermittent energy sources along with the introduction of shiftable load elements renders transmission network expansion planning (TNEP) a challenging task. In particular, the ever-expanding spectrum of possible operating points necessitates the consideration of a very large number of scenarios within a cost-benefit framework, 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 operational stochasticity. Inter-spatial dependencies between loads 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 118-bus system. By evaluating the confidence interval of the optimality gap, the advantages of the proposed approach over conventional techniques are clearly demonstrated.
AU - Sun,M
AU - Konstantelos,I
AU - Strbac,G
DO - 10.1109/PMAPS.2016.7764088
PB - IEEE
PY - 2016///
TI - Transmission network expansion planning with stochastic multivariate load and wind modeling
UR - http://dx.doi.org/10.1109/PMAPS.2016.7764088
UR - http://hdl.handle.net/10044/1/42430
ER -