Mixed-integer second-order cone programming framework for optimal scheduling of microgrids considering power flow constraints

Microgrids have been recognised as one of the most promising but challenging research topics over the last decade. The optimal energy scheduling problem is regarded as the most essential aspect in the tertiary level control in microgrids. However, most existing centralised or distributed scheduling...

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Vydáno v:	IET renewable power generation Ročník 13; číslo 14; s. 2673 - 2683
Hlavní autoři:	Fu, Long, Meng, Ke, Liu, Bin, Dong, Zhao Yang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 28.10.2019
Témata:	applying decomposition appropriate unit commitment requirements complex scheduling problems different controllable devices distributed power generation distribution networks dynamical feature dynamical properties existing centralised distributed scheduling models integer programming iteration technics linear programming load flow logical feature microgrids mixed integer linear reformulation mixed integer second‐order cone programming framework nonlinear power flow constraint optimal energy scheduling problem optimal scheduling optimisation power flow constraints power generation dispatch power generation scheduling promising but challenging research topics Research Article scheduling tertiary level control existing centralised distributed scheduling models integer programming distribution networks applying decomposition complex scheduling problems linear programming distributed power generation power generation scheduling dynamical properties optimisation nonlinear power flow constraint power flow constraints appropriate unit commitment requirements microgrids scheduling optimal energy scheduling problem promising but challenging research topics mixed integer second-order cone programming framework optimal scheduling logical feature mixed integer linear reformulation dynamical feature power generation dispatch iteration technics different controllable devices tertiary level control load flow
ISSN:	1752-1416, 1752-1424, 1752-1424
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Shrnutí:	Microgrids have been recognised as one of the most promising but challenging research topics over the last decade. The optimal energy scheduling problem is regarded as the most essential aspect in the tertiary level control in microgrids. However, most existing centralised or distributed scheduling models only focus on the logical and dynamical feature of microgrids’ operation or the non-linear power flow constraint, which would overact the system performance without considering appropriate unit commitment requirements. Moreover, applying decomposition and iteration technics to complex scheduling problems would encounter convergence issues. To address this concern, this study presents a mixed integer linear reformulation to characterise the operation of different controllable devices and convex relaxation techniques to cope with non-linear power flow constraints, leading to a mixed integer second-order cone programming framework in a concordant yet computationally efficient pattern, capturing non-linear, logical and dynamical properties of the optimal energy scheduling problem in microgrids. The effectiveness of the proposed framework is validated on the IEEE 33-bus distribution network with both grid-connected and islanded modes.
ISSN:	1752-1416 1752-1424 1752-1424
DOI:	10.1049/iet-rpg.2019.0305