Stochastic Predictive Control of Multi-Microgrid Systems

In this paper, integrated operation management of cooperative microgrids is formulated in the framework of stochastic predictive control. In the proposed scheme, a joint probabilistic constraint on the microgrids power exchange with the main grid couples operation of individual microgrids. In order to tackle the coupling constraint, a cooperative energy management strategy is proposed in which based on the statistical characteristics of uncertain parameters, the deterministic counterpart of the problem is derived and an efficient solution strategy is achieved. The proposed strategy is evaluated for an illustrative test case including two microgrids based on modified CIGRE benchmark. Moreover, statistical analysis is conducted to evaluate robustness characteristics of the solution strategy.

[1]  J. Oyarzabal,et al.  Management of microgrids in market environment , 2005, 2005 International Conference on Future Power Systems.

[2]  Riccardo Scattolini,et al.  Stochastic Model Predictive Control of constrained linear systems with additive uncertainty , 2009, 2009 European Control Conference (ECC).

[3]  Hak-Man Kim,et al.  A Multiagent-Based Hierarchical Energy Management Strategy for Multi-Microgrids Considering Adjustable Power and Demand Response , 2018, IEEE Transactions on Smart Grid.

[4]  Roberto Sacile,et al.  Decentralized Control of the Power Flows in a Network of Smart Microgrids Modeled as a Team of Cooperative Agents , 2014, IEEE Transactions on Control Systems Technology.

[5]  J. M. Maestre,et al.  Distributed Model Predictive Control: An Overview and Roadmap of Future Research Opportunities , 2014, IEEE Control Systems.

[6]  Kai Strunz,et al.  Cooperative MPC-Based Energy Management for Networked Microgrids , 2017, IEEE Transactions on Smart Grid.

[7]  Masahiro Ono,et al.  Decentralized chance-constrained finite-horizon optimal control for multi-agent systems , 2010, 49th IEEE Conference on Decision and Control (CDC).

[8]  K. Strunz,et al.  Design of benchmark of medium voltage distribution network for investigation of DG integration , 2006, 2006 IEEE Power Engineering Society General Meeting.

[9]  Farzad Noorian,et al.  Risk Management using Model Predictive Control , 2015 .

[10]  Claudio A. Cañizares,et al.  A Centralized Energy Management System for Isolated Microgrids , 2014, IEEE Transactions on Smart Grid.

[11]  Marcello Farina,et al.  An approach to output-feedback MPC of stochastic linear discrete-time systems , 2015, Autom..

[12]  Qian Ai,et al.  New modeling framework considering economy, uncertainty, and security for estimating the dynamic interchange capability of multi-microgrids , 2017 .

[13]  A. Karimpour,et al.  Optimal operation management of a microgrid based on MOPSO and Differential Evolution algorithms , 2012, Iranian Conference on Smart Grids.

[14]  Michael Negnevitsky,et al.  A Decentralized Model Predictive Control for Operation of Multiple Distributed Generators in an Islanded Mode , 2017, IEEE Transactions on Industry Applications.

[15]  Peng Kou,et al.  Distributed EMPC of multiple microgrids for coordinated stochastic energy management , 2017 .

[16]  Roberto Sacile,et al.  Coordinated Model Predictive-Based Power Flows Control in a Cooperative Network of Smart Microgrids , 2015, IEEE Transactions on Smart Grid.

[17]  Kankar Bhattacharya,et al.  Optimal energy management and smart charging of PEVs in isolated microgrids , 2015, 2015 IEEE Electrical Power and Energy Conference (EPEC).

[18]  Josep M. Guerrero,et al.  Stochastic Predictive Control of Multi-Microgrid Systems , 2018, 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

[19]  Salman Mohagheghi,et al.  An Automation Scheme for Emergency Operation of a Multi-Microgrid Industrial Park , 2018, IEEE Transactions on Industry Applications.

[20]  Amjad Anvari-Moghaddam,et al.  Optimal operation management of a regional network of microgrids based on chance‐constrained model predictive control , 2018, IET Generation, Transmission & Distribution.

[21]  Qian Ai,et al.  Interactive Model for Energy Management of Clustered Microgrids , 2016, IEEE Transactions on Industry Applications.

[22]  Marcello Farina,et al.  Distributed Predictive Control of stochastic linear systems with chance constraints , 2016, 2016 American Control Conference (ACC).

[23]  Josep M. Guerrero,et al.  A hierarchical energy management strategy for interconnected microgrids considering uncertainty , 2019, International Journal of Electrical Power & Energy Systems.