A centralized-based method to determine the local voltage control strategies of distributed generator operation in active distribution networks

The increasing penetration of distributed generators (DGs) exacerbates the risk of voltage violations in active distribution networks (ADNs). The var capacity provided by DG inverters is a potential solution for voltage regulation. The conventional centralized control strategies limited by computation and communication burdens are difficult to meet the requirement of rapid voltage control. However, the local control strategies based on real-time measurements have a fast response to the frequent fluctuations of DG outputs. The performance of these local controllers depends on the tuning of the control parameters. This paper proposes a centralized-based method to determine the local voltage control strategies for DGs. A centralized parameter tuning model of control curves is built, in which Q-V and Pcurt-V curves of DG inverters are mathematically formulated based on piecewise linearization. The original mixed-integer nonlinear programming (MINLP) model is converted into an effectively solved mixed-integer second-order cone programming (MISOCP) model using convex relaxation. The potential benefits of DG inverters are explored to regulate both reactive and curtailed active power, based on local voltage measurements. Case studies on a modified PG&E 69-node distribution system are carried out to verify the effectiveness of the proposed method. Results show that power losses of ADNs are significantly reduced and voltage profiles are also improved.

[1]  S. Granville,et al.  Strategic bidding under uncertainty: a binary expansion approach , 2005, IEEE Transactions on Power Systems.

[2]  Arindam Ghosh,et al.  Smart Robust Resources Control in LV Network to Deal With Voltage Rise Issue , 2013, IEEE Transactions on Sustainable Energy.

[3]  Shahram Jadid,et al.  A new approach for real time voltage control using demand response in an automated distribution system , 2014 .

[4]  Steven H. Low,et al.  Branch Flow Model: Relaxations and Convexification—Part II , 2012 .

[5]  Steven H. Low,et al.  Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence , 2014, IEEE Transactions on Control of Network Systems.

[6]  Siamak Arzanpour,et al.  Smart grid adaptive energy conservation and optimization engine utilizing Particle Swarm Optimization and Fuzzification , 2016 .

[7]  Qian Ai,et al.  Optimal scheduling strategy for virtual power plants based on credibility theory , 2016 .

[8]  G.P. Harrison,et al.  Centralized and Distributed Voltage Control: Impact on Distributed Generation Penetration , 2007, IEEE Transactions on Power Systems.

[9]  Gabriela Hug,et al.  Hybrid approach for planning and operating active distribution grids , 2016, 1610.07863.

[10]  Jianzhong Wu,et al.  Coordinated Control Method of Voltage and Reactive Power for Active Distribution Networks Based on Soft Open Point , 2017, IEEE Transactions on Sustainable Energy.

[11]  K. Fujisawa,et al.  Semidefinite programming for optimal power flow problems , 2008 .

[12]  C. Borges,et al.  Active distribution network integrated planning incorporating distributed generation and load response uncertainties , 2011, 2012 IEEE Power and Energy Society General Meeting.

[13]  Wei Yuan,et al.  A Two-Stage Robust Reactive Power Optimization Considering Uncertain Wind Power Integration in Active Distribution Networks , 2016, IEEE Transactions on Sustainable Energy.

[14]  Philip Ogunbona,et al.  Economic-emission dispatch problem: A semi-definite programming approach , 2014 .

[15]  Sungwoo Bae,et al.  Decentralized control of a scalable photovoltaic (PV)-battery hybrid power system , 2017 .

[16]  M. E. Baran,et al.  Optimal capacitor placement on radial distribution systems , 1989 .

[17]  F. S. Hover,et al.  Convex Models of Distribution System Reconfiguration , 2012, IEEE Transactions on Power Systems.

[18]  Ken KURODA,et al.  A hybrid multi-objective optimization method considering optimization problems in power distribution systems , 2015 .

[19]  Gérard Cornuéjols,et al.  An algorithmic framework for convex mixed integer nonlinear programs , 2008, Discret. Optim..

[20]  Amin Kargarian,et al.  Reactive power market management considering voltage control area reserve and system security , 2011 .

[21]  He Meng,et al.  Optimal voltage regulation for distribution networks with multi-microgrids , 2018 .

[22]  Ahmet Onen,et al.  Configurable, Hierarchical, Model-based, Scheduling Control with photovoltaic generators in power distribution circuits , 2015 .

[23]  Ramesh C. Bansal,et al.  Integration of PV and BES units in commercial distribution systems considering energy loss and voltage stability , 2014 .

[24]  Peng Li,et al.  An enhanced SOCP-based method for feeder load balancing using the multi-terminal soft open point in active distribution networks , 2017 .

[25]  Jianzhong Wu,et al.  Optimal operation of soft open points in medium voltage electrical distribution networks with distributed generation , 2016 .

[26]  Taher Niknam,et al.  A new fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators , 2010 .

[27]  Reinhard Madlener,et al.  Wind Farm Siting Using a Spatial Analytic Hierarchy Process Approach: A Case Study of the Städteregion Aachen , 2016 .

[28]  Van Bokhoven Piecewise-linear modelling and analysis , 1981 .

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

[30]  A. Bose,et al.  Mixed-integer second-order cone programing model for VAR optimisation and network reconfiguration in active distribution networks , 2016 .

[31]  P. Rodriguez,et al.  Local Reactive Power Control Methods for Overvoltage Prevention of Distributed Solar Inverters in Low-Voltage Grids , 2011, IEEE Journal of Photovoltaics.

[32]  Mario Paolone,et al.  Optimal Allocation of Dispersed Energy Storage Systems in Active Distribution Networks for Energy Balance and Grid Support , 2014, IEEE Transactions on Power Systems.

[33]  R Tonkoski,et al.  Coordinated Active Power Curtailment of Grid Connected PV Inverters for Overvoltage Prevention , 2011, IEEE Transactions on Sustainable Energy.

[34]  Gerard Ledwich,et al.  Improving voltage profile of residential distribution systems using rooftop PVs and Battery Energy Storage systems , 2014 .

[35]  Tao Yu,et al.  Hierarchically correlated equilibrium Q-learning for multi-area decentralized collaborative reactive power optimization , 2016 .

[36]  R. Jabr Radial distribution load flow using conic programming , 2006, IEEE Transactions on Power Systems.

[37]  Taher Niknam,et al.  A new HBMO algorithm for multiobjective daily Volt/Var control in distribution systems considering Distributed Generators , 2011 .

[38]  R. Jabr,et al.  Minimum Loss Network Reconfiguration Using Mixed-Integer Convex Programming , 2012, IEEE Transactions on Power Systems.