Regulating power management in interconnected microgrids

An effective regulating power management is needed in next generation interconnected microgrids to mitigate the effect of load-generation imbalance in the system. The objective of this paper is to present a two-stage regulating power management scheme in an interconnected microgrid (MG) system. First, in a day-ahead power management, the power generation set-points are determined in the individual MGs considering predicted demand and power from renewable energy sources. Second, in a real-time regulating power management, a network operator establishes a set of power flow interactions among MGs to mitigate the load-generation imbalances in MGs. These interactions are obtained using a convex multi-constraint optimization problem and a cooperative developed algorithm. A simple suboptimal greedy solution is also proposed. Numerical results demonstrate the effectiveness of the proposed real-time regulating power management in cooperation with day-ahead scheduling to reduce the system load-generation imbalance,...

[1]  Prodromos Daoutidis,et al.  Microgrid/Macrogrid Energy Exchange: A Novel Market Structure and Stochastic Scheduling , 2017, IEEE Transactions on Smart Grid.

[2]  Anastasios G. Bakirtzis,et al.  Optimal Bidding Strategy for Electric Vehicle Aggregators in Electricity Markets , 2013, IEEE Transactions on Power Systems.

[3]  Hedayat Saboori,et al.  Stochastic analysis of wind energy uncertainty impact on ISO risk-taking in joint energy and reserve markets using conditional value at risk , 2016 .

[4]  H. Hindi,et al.  Coordinating regulation and demand response in electric power grids using multirate model predictive control , 2011, ISGT 2011.

[5]  Frede Blaabjerg,et al.  Decentralized Economic Dispatch Scheme With Online Power Reserve for Microgrids , 2017, IEEE Transactions on Smart Grid.

[6]  Jhi-Young Joo,et al.  Multi-layered optimization of demand resources using Lagrange dual decomposition , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[7]  Xiaobo Dou,et al.  Interval power flow analysis via multi-stage affine arithmetic for unbalanced distribution network , 2017 .

[8]  Jie Li,et al.  A Bi-Level Energy-Saving Dispatch in Smart Grid Considering Interaction Between Generation and Load , 2015, IEEE Transactions on Smart Grid.

[9]  Yih-Der Lee,et al.  Ancillary voltage control for a distribution feeder by using energy storage system in microgrid , 2016, 2016 IEEE 7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG).

[10]  David Dallinger,et al.  Vehicle-to-Grid Regulation Reserves Based on a Dynamic Simulation of Mobility Behavior , 2011, IEEE Transactions on Smart Grid.

[11]  Na Li,et al.  Real-Time Energy Management in Microgrids , 2017, IEEE Transactions on Smart Grid.

[12]  Valeriy Vyatkin,et al.  Optimization of decentralized energy storage flexibility for frequency reserves , 2015, IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society.

[13]  Nikolaos Gatsis,et al.  Decentralized Stochastic Optimal Power Flow in Radial Networks With Distributed Generation , 2016, IEEE Transactions on Smart Grid.

[14]  Deepa Kundur,et al.  Distributed Optimization of Dispatch in Sustainable Generation Systems via Dual Decomposition , 2015, IEEE Transactions on Smart Grid.

[15]  Jie Duan,et al.  Day-Ahead Smart Grid Cooperative Distributed Energy Scheduling With Renewable and Storage Integration , 2016, IEEE Transactions on Sustainable Energy.

[16]  Long Bao Le,et al.  Risk-Constrained Profit Maximization for Microgrid Aggregators With Demand Response , 2015, IEEE Transactions on Smart Grid.

[17]  Magdy M. A. Salama,et al.  Distributed generation technologies, definitions and benefits , 2004 .

[18]  Javad Salehi,et al.  Optimal operation of distribution networks with presence of distributed generations and battery energy storage systems considering uncertainties and risk analysis , 2017 .

[19]  Kalpana Chauhan,et al.  Optimization of grid energy using demand and source side management for DC microgrid , 2017 .

[20]  Xu Rong,et al.  A review on distributed energy resources and MicroGrid , 2008 .

[21]  Majid Nayeripour,et al.  A new distribution power system planning approach for distributed generations with respect to reliability assessment , 2016 .

[22]  H. Bevrani,et al.  Adaptive Energy Consumption Scheduling for Connected Microgrids Under Demand Uncertainty , 2013, IEEE Transactions on Power Delivery.

[23]  Victor O. K. Li,et al.  Capacity management of vehicle-to-grid system for power regulation services , 2012, 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm).

[24]  Marc Ross,et al.  Evaluation of energy consumption, emissions and cost of plug-in hybrid vehicles , 2009 .

[25]  H. Bevrani,et al.  Statistical Cooperative Power Dispatching in Interconnected Microgrids , 2013, IEEE Transactions on Sustainable Energy.