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

Content Provider	IET Digital Library
Author	Fu, Long Meng, Ke Liu, Bin Dong, Zhao Yang
Abstract	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.
Starting Page	2673
Ending Page	2683
Page Count	11
ISSN	17521416
Volume Number	13
e-ISSN	17521424
Issue Number	Issue 14, Oct (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/13/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2019.0305
Journal	IET Renewable Power Generation
Publisher Date	2019-08-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Applying Decomposition Appropriate Unit Commitment Requirements Complex Scheduling Problem Different Controllable Device Distributed Power Generation Distribution Network Dynamical Feature Dynamical Property Existing Centralised Distributed Scheduling Model Integer Programming Iteration Technics Linear Programming Load Flow Logical Feature Microgrid System Mixed Integer Linear Reformulation Mixed Integer Second-order Cone Programming Framework Nonlinear Power Flow Constraint Optimal Energy Scheduling Problem Optimal Scheduling Optimisation Optimisation Technique Power Flow Constraint Power Generation Dispatch Power Generation Scheduling Power System Economics Power System Managemen Power System Operation Promising But Challenging Research Topics Scheduling Tertiary Level Control
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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