Distributed Control Design for Balancing the Grid Using Flexible Loads

Yue Chen (1) , Md Umar Hashmi (2) , Joel Mathias (1) , Ana Bušić (2, 3) , Sean Meyn (1)

1 UF - University of Florida [Gainesville]
2 DYOGENE - Dynamics of Geometric Networks
3 LINCS - Laboratory of Information, Network and Communication Sciences

Inexpensive energy from the wind and the sun comes with unwanted volatility, such as ramps with the setting sun or a gust of wind. Controllable generators manage supply-demand balance of power today, but this is becoming increasingly costly with increasing penetration of renewable energy. It has been argued since the 1980s that consumers should be put in the loop: " demand response " will help to create needed supply-demand balance. However, consumers use power for a reason, and expect that the quality of service (QoS) they receive will lie within reasonable bounds. Moreover, the behavior of some consumers is unpredictable, while the grid operator requires predictable controllable resources to maintain reliability. The goal of this chapter is to describe an emerging science for demand dispatch that will create virtual energy storage from flexible loads. By design, the grid-level services from flexible loads will be as controllable and predictable as a generator or fleet of batteries. Strict bounds on QoS will be maintained in all cases. The potential economic impact of these new resources is enormous. California plans to spend billions of dollars on batteries that will provide only a small fraction of the balancing services that can be obtained using demand dispatch. The potential impact on society is enormous: a sustainable energy future is possible with the right mix of infrastructure and control systems.

Domaines: Systèmes et contrôle [cs.SY]; Energie électrique; Optimisation et contrôle [math.OC]; Probabilités [math.PR]

Yue Chen, Md Umar Hashmi, Joel Mathias, Ana Bušić, Sean Meyn. Distributed Control Design for Balancing the Grid Using Flexible Loads. S. Meyn; T. Samad; I. Hiskens; J. Stoustrup. IMA Volume on the Control of Energy Markets and Grids, 162, Springer, pp.383-411, 2018. ⟨hal-01656726⟩