Distributed control of reactive power flow in a radial distribution circuit with high photovoltaic penetration

We show how distributed control of reactive power can serve to regulate voltage and minimize resistive losses in a distribution circuit that includes a significant level of photovoltaic (PV) generation. To demonstrate the technique, we consider a radial distribution circuit with a single branch consisting of sequentially-arranged residential-scale loads that consume both real and reactive power. In parallel, some loads also have PV generation capability. We postulate that the inverters associated with each PV system are also capable of limited reactive power generation or consumption, and we seek to find the optimal dispatch of each inverter's reactive power to both maintain the voltage within an acceptable range and minimize the resistive losses over the entire circuit. We assume the complex impedance of the distribution circuit links and the instantaneous load and PV generation at each load are known. We compare the results of the optimal dispatch with a suboptimal local scheme that does not require any communication. On our model distribution circuit, we illustrate the feasibility of high levels of PV penetration and a significant (20% or higher) reduction in losses.

[1]  Kevin P. Schneider,et al.  Modern Grid Initiative Distribution Taxonomy Final Report , 2008 .

[2]  Michael Chertkov,et al.  Message passing for optimization and control of a power grid: model of a distribution system with redundancy. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  M. E. Baran,et al.  Optimal sizing of capacitors placed on a radial distribution system , 1989 .

[4]  Felix F. Wu,et al.  Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing , 1989, IEEE Power Engineering Review.

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

[6]  Felix F. Wu,et al.  Network reconfiguration in distribution systems for loss reduction and load balancing , 1989 .

[7]  Devavrat Shah,et al.  Belief Propagation for Min-Cost Network Flow: Convergence and Correctness , 2010, Oper. Res..

[8]  Sandia Report,et al.  Distributed Photovoltaic Systems Design and Technology Requirements , 2008 .

[9]  Sean R Eddy,et al.  What is dynamic programming? , 2004, Nature Biotechnology.

[10]  A. E. Emanuel,et al.  Photovoltaic generation effects on distribution feeders , 1991 .

[11]  Michael Coddington,et al.  Interconnecting PV on New York City's Secondary Network Distribution System , 2009 .

[12]  J. Bebic,et al.  Distribution System Voltage Performance Analysis for High-Penetration Photovoltaics , 2008 .

[13]  Michael Chertkov,et al.  Message Passing for Integrating and Assessing Renewable Generation in a Redundant Power Grid , 2009, 2010 43rd Hawaii International Conference on System Sciences.

[14]  S. Oren,et al.  Optimal Transmission Switching—Sensitivity Analysis and Extensions , 2008, IEEE Transactions on Power Systems.

[15]  Felix F. Wu,et al.  Efficient integer optimization algorithms for optimal coordination of capacitors and regulators , 1990 .

[16]  Kory Hedman,et al.  Optimal transmission switching — Sensitivity analysis and extensions , 2009, 2009 IEEE Power & Energy Society General Meeting.