@inproceedings{d80784263d1a46b78083db9d661a8938,
title = "Multi-period OPF with energy storages and renewable sources: A parallel moment approach",
abstract = "Multi-period optimal power flow (OPF) is a basic tool to achieve optimal operation of a power system with energy storages devices and renewable sources. A novel convex relaxation based decomposeition algorithm is proposed in this paper to solve the full AC multi-period OPF with energy storages and renewable sources. Based on alternating direction method of multipliers (ADMM), the original time-correlated non-convex optimization problem is decomposed into two subproblems. The first subproblem is non-convex and separable among different time slots. Moment relaxation can be constructed and solved for each time slot in parallel. The second subproblem is a convex quadratic program (QP) and separable among different buses, which can be solved in parallel by standard interior point (IPM) solver. Case study on a benchmark system demonstrates the effectiveness of the proposed algorithm.",
keywords = "Alternating direction method of multipliers, Correlative sparsity, Energy Storage, Moment relaxation, Optimal power flow, Polynomial optimization, Renewable Energy",
author = "Chao Duan and Lin Jiang and Wanliang Fang and Jun Liu",
note = "Funding Information: This work was supported in part by Engineering and Physical Sciences Research Council (EP/L014351/1) Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 ; Conference date: 17-07-2016 Through 21-07-2016",
year = "2016",
month = nov,
day = "10",
doi = "10.1109/PESGM.2016.7741519",
language = "English (US)",
series = "IEEE Power and Energy Society General Meeting",
publisher = "IEEE Computer Society",
booktitle = "2016 IEEE Power and Energy Society General Meeting, PESGM 2016",
address = "United States",
}
