Mechanisms and Policies for Controlling Distributed Solar Capacity

The rapid expansion of intermittent grid-tied solar capacity is making the job of balancing electricity’s real-time supply and demand increasingly challenging. Recent work proposes mechanisms for actively controlling solar power in the grid at individual sites by enabling software to cap it as a fraction of its time-varying maximum output. However, while enforcing an equal fraction of each solar site’s time-varying maximum output results in “fair” short-term contributions of solar power across all sites, it does not result in “fair” long-term contributions of solar energy. Enforcing fair long-term energy access is important when controlling distributed solar capacity, since limits on solar output impact the compensation users receive for net metering and the battery capacity required to store excess solar energy. This discrepancy arises from fundamental differences in enforcing “fair” access to the grid to contribute solar energy, compared to analogous fair sharing in networks and processors. To address the problem, we first present both a centralized and distributed algorithm to enable control of distributed solar capacity that enforces fair grid energy access. We then present multiple policies that show how utilities can leverage this new distributed rate-limiting mechanism to reduce variations in grid demand from intermittent solar generation.

[1]  J. Farmer,et al.  How Predictable is Technological Progress? , 2015, 1502.05274.

[2]  Richard M. Swanson,et al.  A vision for crystalline silicon photovoltaics , 2006 .

[3]  L. A. C. Lopes,et al.  Droop-based active power curtailment for overvoltage prevention in grid connected PV inverters , 2010, 2010 IEEE International Symposium on Industrial Electronics.

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

[5]  Prashant J. Shenoy,et al.  Enforcing fair grid energy access for controllable distributed solar capacity , 2017, BuildSys@SenSys.

[6]  Lennart Söder,et al.  Wind and solar curtailment , 2013 .

[7]  Catherine Rosenberg,et al.  Distributed control of electric vehicle charging , 2013, e-Energy '13.

[8]  Prashant J. Shenoy,et al.  SunShade: Enabling Software-Defined Solar-Powered Systems , 2017, 2017 ACM/IEEE 8th International Conference on Cyber-Physical Systems (ICCPS).

[9]  D. Turcotte,et al.  Active power curtailment of PV inverters in diesel hybrid mini-grids , 2009, 2009 IEEE Electrical Power & Energy Conference (EPEC).

[10]  Johannes Gehrke,et al.  Gossip-based computation of aggregate information , 2003, 44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings..

[11]  Vijay Arya,et al.  iPlug: Decentralised dispatch of distributed generation , 2016, 2016 8th International Conference on Communication Systems and Networks (COMSNETS).

[12]  Prashant J. Shenoy,et al.  Distributed Rate Control for Smart Solar Arrays , 2017, e-Energy.

[13]  Luiz A. C. Lopes,et al.  Impact of active power curtailment on overvoltage prevention and energy production of PV inverters connected to low voltage residential feeders , 2011 .