SYSYOCOct 24, 2019

Demand Dispatch with Heterogeneous Intelligent Loads

arXiv:1610.0081316 citationsh-index: 50
Originality Synthesis-oriented
AI Analysis

For grid operators, this provides a scalable method to use demand-side resources for grid balancing, but the approach is incremental as it extends prior randomized decision rules.

The paper presents a distributed control architecture that enables heterogeneous loads to collectively behave like an ideal battery for grid operators, achieving a nearly flat input-output response.

A distributed control architecture is presented that is intended to make a collection of heterogeneous loads appear to the grid operator as a nearly perfect battery. Local control is based on randomized decision rules advocated in prior research, and extended in this paper to any load with a discrete number of power states. Additional linear filtering at the load ensures that the input-output dynamics of the aggregate has a nearly flat input-output response: the behavior of an ideal, multi-GW battery system.

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