Effective Dynamic Scheduling of Reconfigurable Microgrids

This paper develops an effective model for microgrid optimal scheduling with dynamic network reconfiguration. Network reconfiguration can effectively alter local power flow and thus provide an opportunity to reduce microgrid distribution network losses during grid-connected operation (supporting microgrid economic objectives) and to reduce potential load curtailments during the islanded operation (supporting microgrid reliability objectives). The proposed optimal scheduling model is decomposed into a grid-connected operation master problem and an islanded operation subproblem. A novel and highly accurate dynamic linear power flow model, with the ability of line switching, is developed and included in both problems. The optimal schedule determined in the master problem is assessed to meet the microgrid islanding feasibility in the subproblem. If infeasible, the decision variables are amended using the islanding cuts, which will accordingly revise the network reconfiguration, as well as the schedule of dispatchable units, energy storage, and adjustable loads. The simulation results on a test microgrid demonstrate the effectiveness and satisfying performance of the proposed model.

[1]  Alejandro Garces,et al.  A Linear Three-Phase Load Flow for Power Distribution Systems , 2016, IEEE Transactions on Power Systems.

[2]  Taher Niknam,et al.  Stochastic Reconfiguration and Optimal Coordination of V2G Plug-in Electric Vehicles Considering Correlated Wind Power Generation , 2015, IEEE Transactions on Sustainable Energy.

[3]  Saeed Jazebi,et al.  Distribution Network Reconfiguration in the Presence of Harmonic Loads: Optimization Techniques and Analysis , 2014, IEEE Transactions on Smart Grid.

[4]  Bo Zhou,et al.  Vulnerability assessment and reconfiguration of microgrid through search vector artificial physics optimization algorithm , 2014 .

[5]  Ramon Zamora,et al.  Real-Time Implementation of Intelligent Reconfiguration Algorithm for Microgrid , 2014 .

[6]  Taher Niknam,et al.  Optimal Distribution Feeder Reconfiguration for Reliability Improvement Considering Uncertainty , 2014, IEEE Transactions on Power Delivery.

[7]  M. Shahidehpour,et al.  Microgrid-Based Co-Optimization of Generation and Transmission Planning in Power Systems , 2013, IEEE Transactions on Power Systems.

[8]  G. B. Jasmon,et al.  Network reconfiguration for load balancing in distribution networks , 1999 .

[9]  Taher Niknam,et al.  Optimal operation management of fuel cell/wind/photovoltaic power sources connected to distribution networks , 2011 .

[10]  D. Shirmohammadi,et al.  Reconfiguration of electric distribution networks for resistive line losses reduction , 1989 .

[11]  Amin Khodaei,et al.  Microgrid Optimal Scheduling With Multi-Period Islanding Constraints , 2014, IEEE Transactions on Power Systems.

[12]  Ghadir Radman,et al.  Effective Energy Management of Hybrid AC–DC Microgrids With Storage Devices , 2019, IEEE Transactions on Smart Grid.

[13]  Javier Contreras,et al.  Joint expansion planning of distributed generation and distribution networks , 2015 .

[14]  G. Giannakis,et al.  Risk-Constrained Microgrid Reconfiguration Using Group Sparsity , 2013, IEEE Transactions on Sustainable Energy.

[15]  J. Martí,et al.  Linear Power-Flow Formulation Based on a Voltage-Dependent Load Model , 2013, IEEE Transactions on Power Delivery.

[16]  J. Martí,et al.  Linear Current Flow Equations With Application to Distribution Systems Reconfiguration , 2015, IEEE Transactions on Power Systems.

[17]  Antonio J. Conejo,et al.  Decomposition Techniques in Mathematical Programming: Engineering and Science Applications , 2006 .

[18]  W. Marsden I and J , 2012 .

[19]  K. M. Nor,et al.  Improved three-phase power-flow methods using sequence components , 2005, IEEE Transactions on Power Systems.

[20]  Marcos J. Rider,et al.  Multistage Long-Term Expansion Planning of Electrical Distribution Systems Considering Multiple Alternatives , 2016, IEEE Transactions on Power Systems.

[21]  Wencong Su,et al.  Stochastic Energy Scheduling in Microgrids With Intermittent Renewable Energy Resources , 2014, IEEE Transactions on Smart Grid.

[22]  Taher Niknam,et al.  Impact of Hydrogen Production and Thermal Energy Recovery of PEMFCPPs on Optimal Management of Renewable Microgrids , 2015, IEEE Transactions on Industrial Informatics.

[23]  M. M. Adibi,et al.  Distribution Feeder Reconfiguration for Service Restoration and Load Balancing , 2000 .

[24]  William Kersting,et al.  Distribution System Modeling and Analysis , 2001, Electric Power Generation, Transmission, and Distribution: The Electric Power Engineering Handbook.

[25]  J. Teng A direct approach for distribution system load flow solutions , 2003 .

[26]  Arkadi Nemirovski,et al.  On Polyhedral Approximations of the Second-Order Cone , 2001, Math. Oper. Res..