A Distributed Cooperative Load Control Approach For Ancillary Services In Smart Grid

Abstract

In this work, we propose a distributed cooperative control approach to enable autonomous load control for ancillary services. Controllable loads (CL) (which include heating ventilating and air conditioning (HVAC) units and electric vehicles (EV)) may have heterogeneous dynamics and different operational constraints, but they can be controlled through a local network to provide for fast and efficient ancillary services such as frequency regulation. On a higher level, a real time power flow is solved in the network by sensing local frequency deviation to obtain a reference signal for power injection at each node. Using this signal, a fair power consumption ratio is calculated accordingly and all the controllable loads obtain a consensus that corresponds to frequency stabilization. A distributed leader-follower cooperative load control algorithm is developed for the CLs to contribute equitably towards frequency stabilization. The controllable loads and smart sensing nodes exchange minimum information through their local communication network and converge on the power consumption ratio at steady state, thus maintaining system stability and obtaining the nominal frequency. The time evolution of the loads due to control action is also investigated and analytical results are illustrated through simulations.

Publication Date

6-29-2017

Publication Title

Proceedings of the American Control Conference

Number of Pages

1401-1406

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.23919/ACC.2017.7963149

Socpus ID

85027037536 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85027037536

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