Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources

This paper proposes a multiobjective optimization technique that maximizes the active power generation from single-phase distributed generators, and minimizes the unbalance factor at the point of common coupling of the network. Such technique is incorporated into a centralized control strategy for optimal power flow control purpose. The centralized control strategy used herein is the Power-Based Control that coordinates the distributed units to contribute to the network's active and reactive power needs, per phase, in proportion of their power capacity. The simulation results of a simplified network with three single-phase distributed generators validate the proposal in terms of power flow control, voltage regulation and power quality.

[1]  Ali Davoudi,et al.  Hierarchical Structure of Microgrids Control System , 2012, IEEE Transactions on Smart Grid.

[2]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[3]  Tommaso Caldognetto,et al.  Power-based control of low-voltage microgrids , 2014, 2014 IEEE Energy Conversion Congress and Exposition (ECCE).

[4]  Roberta Oliveira Parreiras.  Algoritmos evolucionários e técnicas de tomada de decisão em análise multicritério , 2006 .

[5]  Steven H. Low,et al.  Optimal inverter VAR control in distribution systems with high PV penetration , 2011, 2012 IEEE Power and Energy Society General Meeting.

[6]  S. Buso,et al.  Coordinated control of distributed generators in meshed low-voltage microgrids: Power flow control and voltage regulation , 2016, 2016 17th International Conference on Harmonics and Quality of Power (ICHQP).

[7]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[8]  José Antenor Pomilio,et al.  Optimized Compensation of Unwanted Current Terms by AC Power Converters Under Generic Voltage Conditions , 2016, IEEE Transactions on Industrial Electronics.

[9]  Vitor Nazário Coelho,et al.  Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids , 2017 .

[10]  Tommaso Caldognetto,et al.  Centralized Control of Distributed Single-Phase Inverters Arbitrarily Connected to Three-Phase Four-Wire Microgrids , 2017, IEEE Transactions on Smart Grid.

[11]  P Mattavelli,et al.  Conservative Power Theory, a Framework to Approach Control and Accountability Issues in Smart Microgrids , 2011, IEEE Transactions on Power Electronics.

[12]  Xi Xiao,et al.  A Hierarchical Energy Management System Based on Hierarchical Optimization for Microgrid Community Economic Operation , 2016, IEEE Transactions on Smart Grid.

[13]  Nikos D. Hatziargyriou,et al.  Centralized Control for Optimizing Microgrids Operation , 2008 .

[14]  Johan Driesen,et al.  Combined Central and Local Active and Reactive Power Control of PV Inverters , 2014, IEEE Transactions on Sustainable Energy.

[15]  Tommaso Caldognetto,et al.  Integration and control of heterogeneous power sources in meshed distribution grids , 2016, 2016 IEEE 7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG).