Distributed Learning Control for Economic Power Dispatch: A Privacy Preserved Approach

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Abstract

We present a privacy-preserving distributed reinforcement learning-based control scheme to address the problem of frequency control and economic dispatch in power generation systems. The proposed control approach requires neither a priori system model knowledge nor the mathematical formulation of the generation cost functions. Due to not requiring the generation cost models, the control scheme is capable of dealing with scenarios in which the cost functions are hard to formulate and/or non-convex. Furthermore, it is privacy-preserving, i.e. none of the units in the network needs to communicate its cost function and/or control policy to its neighbors. To realize this, we propose an actor-critic algorithm with function approximation in which the actor step is performed individually by each unit with no need to infer the policies of others. Moreover, in the critic step each generation unit shares its estimate of the local measurements and the estimate of its cost function with the neighbors, and via performing a consensus algorithm, a consensual estimate is achieved. The performance of our proposed control scheme, in terms of minimizing the overall cost while persistently fulfilling the demand and fast reaction and convergence of our distributed algorithm, is demonstrated on a benchmark case study.

Original languageEnglish
Title of host publication2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)
Subtitle of host publicationProceedings
Place of PublicationPiscataway
PublisherIEEE
Pages821-826
Number of pages6
ISBN (Electronic)978-1-7281-5635-4
ISBN (Print)978-1-7281-5636-1
DOIs
Publication statusPublished - 2020
Event29th IEEE International Symposium on Industrial Electronics - Delft, Netherlands
Duration: 17 Jun 202019 Jun 2020
http://isie2020.org/index.php

Conference

Conference29th IEEE International Symposium on Industrial Electronics
Abbreviated titleISIE 2020
CountryNetherlands
CityDelft
Period17/06/2019/06/20
OtherVirtual/online event due to COVID-19
Internet address

Bibliographical note

Virtual/online event due to COVID-19

Keywords

  • distributed reinforcement learning
  • economic dispatch
  • frequency control
  • power system privacy

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