Synchrophasors-based distributed secondary voltage/var control via cellular network

The impact of the increasing connection of distributed generation to medium voltage (MV) feeders, with particular reference to photovoltaic (PV) units, justifies the investigation on secondary voltage/VAR control (VVC) schemes able to improve the utilization of available control resources and to reduce reactive power flows. The paper deals with a secondary VVC scheme based on a distributed multi-agent approach that requires only the estimation of the reactive power flows between the buses where the PV units with reactive power control capability are connected. Phasor Measurement Units (PMUs) are used to get the relevant information. In general, distributed control approaches are expected to work adequately even by using communication infrastructures with lower performances than those required by centralized approaches. The paper addresses such an issue by the analysis of the distributed VVC performance when a shared cellular network is used for the cooperative adjustment of PV inverters reactive power outputs and of tap positions of transformers equipped with on-load tap changers. The analysis is carried out by using a specifically developed ICT (Information and Communications Technology)-power co-simulation platform. It is shown that the VVC scheme has adequate performances also in the presence of significant levels of background traffic and data loss.

[1]  Wei Zhang,et al.  Distributed Multiple Agent System Based Online Optimal Reactive Power Control for Smart Grids , 2014, IEEE Transactions on Smart Grid.

[2]  Sandro Zampieri,et al.  Distributed multi-hop reactive power compensation in smart micro-grids subject to saturation constraints , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[3]  Gang Wang,et al.  Stochastic Reactive Power Management in Microgrids With Renewables , 2015 .

[4]  Alberto Borghetti,et al.  ICT-power co-simulation platform for the analysis of communication-based volt/var optimization in distribution feeders , 2014, ISGT 2014.

[5]  Devavrat Shah,et al.  Gossip Algorithms , 2009, Found. Trends Netw..

[6]  Balasubramaniam Natarajan,et al.  Voltage/VAR Control in Distribution Networks via Reactive Power Injection Through Distributed Generators , 2012, IEEE Transactions on Smart Grid.

[7]  V. Calderaro,et al.  Optimal Decentralized Voltage Control for Distribution Systems With Inverter-Based Distributed Generators , 2014, IEEE Transactions on Power Systems.

[8]  Ehab F. El-Saadany,et al.  A Novel Cooperative Protocol for Distributed Voltage Control in Active Distribution Systems , 2013, IEEE Transactions on Power Systems.

[9]  Muhidin Lelic,et al.  Current trends on applications of PMUs in distribution systems , 2013, 2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT).

[10]  Michael Chertkov,et al.  Options for Control of Reactive Power by Distributed Photovoltaic Generators , 2010, Proceedings of the IEEE.

[11]  Dionysios Aliprantis,et al.  Distributed Volt/VAr Control by PV Inverters , 2013, IEEE Transactions on Power Systems.

[12]  Sairaj V. Dhople,et al.  Optimal Dispatch of Photovoltaic Inverters in Residential Distribution Systems , 2013, IEEE Transactions on Sustainable Energy.

[13]  Sami Repo,et al.  Coordinated Voltage Control in Distribution Networks Including Several Distributed Energy Resources , 2014, IEEE Transactions on Smart Grid.

[14]  Zhihua Qu,et al.  Realizing Unified Microgrid Voltage Profile and Loss Minimization: A Cooperative Distributed Optimization and Control Approach , 2014, IEEE Transactions on Smart Grid.

[15]  Alberto Borghetti,et al.  Volt/var optimization of unbalanced distribution feeders via mixed integer linear programming , 2015 .

[16]  F. de Leon,et al.  Unbalanced Multiphase Load-Flow Using a Positive-Sequence Load-Flow Program , 2008, IEEE Transactions on Power Systems.

[17]  Lars Nordström,et al.  SITL and HLA co-simulation platforms: Tools for analysis of the integrated ICT and electric power system , 2013, Eurocon 2013.

[18]  Frede Blaabjerg,et al.  Reactive power injection strategies for single-phase photovoltaic systems considering grid requirements , 2014, 2014 IEEE Applied Power Electronics Conference and Exposition - APEC 2014.

[19]  Mario Paolone,et al.  A Synchrophasor Estimation Algorithm for the Monitoring of Active Distribution Networks in Steady State and Transient Conditions , 2011 .

[20]  M.E. Baran,et al.  A Multiagent-Based Dispatching Scheme for Distributed Generators for Voltage Support on Distribution Feeders , 2007, IEEE Transactions on Power Systems.

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

[22]  A. Borghetti,et al.  Reactive power control of photovoltaic units over wireless cellular networks , 2015, 2015 IEEE Eindhoven PowerTech.

[23]  Paolo Mattavelli,et al.  Improving Microgrid Performance by Cooperative Control of Distributed Energy Sources , 2014, IEEE Transactions on Industry Applications.

[24]  R. Albarracin,et al.  Photovoltaic reactive power limits , 2013, 2013 12th International Conference on Environment and Electrical Engineering.

[25]  Timothy C. Green,et al.  Communication Infrastructures for Distributed Control of Power Distribution Networks , 2011, IEEE Transactions on Industrial Informatics.

[26]  Alberto Borghetti,et al.  Simulation of the Volt/Var Control in Distribution Feeders by Means of a Networked Multiagent System , 2014, IEEE Transactions on Industrial Informatics.

[27]  Leopoldo G. Franquelo,et al.  Grid-Connected Photovoltaic Systems: An Overview of Recent Research and Emerging PV Converter Technology , 2015, IEEE Industrial Electronics Magazine.

[28]  H. A. Smolleck,et al.  A straightforward method for incorporating mutually-coupled circuits into the bus admittance matrix using the concept of artificial branches , 1990 .

[29]  T. Niknam,et al.  Scenario-Based Multiobjective Volt/Var Control in Distribution Networks Including Renewable Energy Sources , 2012, IEEE Transactions on Power Delivery.

[30]  M. Laughton Analysis of unbalanced polyphase networks by the method of phase co-ordinates. Part 1: System representation in phase frame of reference , 1968 .

[31]  Alex Q. Huang,et al.  Accommodating High PV Penetration on Distribution Feeders , 2012, IEEE Transactions on Smart Grid.

[32]  T. Inoue,et al.  Three-phase cogenerator and transformer models for distribution system analysis , 1991 .

[33]  Paolo Mattavelli,et al.  Distribution Loss Minimization by Token Ring Control of Power Electronic Interfaces in Residential Microgrids , 2012, IEEE Transactions on Industrial Electronics.

[34]  Sandro Zampieri,et al.  A Distributed Control Strategy for Reactive Power Compensation in Smart Microgrids , 2011, IEEE Transactions on Automatic Control.

[35]  Hen-Geul Yeh,et al.  Adaptive VAR Control for Distribution Circuits With Photovoltaic Generators , 2012, IEEE Transactions on Power Systems.

[36]  Mats Larsson,et al.  Coordination of cascaded tap changers using a fuzzy-rule-based controller , 1999, Fuzzy Sets Syst..

[37]  Jamshid Aghaei,et al.  Probabilistic PMU Placement in Electric Power Networks: An MILP-Based Multiobjective Model , 2015, IEEE Transactions on Industrial Informatics.

[38]  Ajay R. Mishra,et al.  Advanced Cellular Network Planning and Optimisation: 2G/2.5G/3G...Evolution to 4G , 2006 .

[39]  D. J. Hill,et al.  Smart grids as distributed learning control , 2012, 2012 IEEE Power and Energy Society General Meeting.

[40]  Saeid Esmaeili,et al.  Volt/var/THD control in distribution networks considering reactive power capability of solar energy conversion , 2014 .