• No results found

University of Groningen Distributed control of power networks Trip, Sebastian

N/A
N/A
Protected

Academic year: 2021

Share "University of Groningen Distributed control of power networks Trip, Sebastian"

Copied!
3
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

University of Groningen

Distributed control of power networks

Trip, Sebastian

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

Document Version

Publisher's PDF, also known as Version of record

Publication date: 2017

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Trip, S. (2017). Distributed control of power networks: Passivity, optimality and energy functions. Rijksuniversiteit Groningen.

Copyright

Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons).

Take-down policy

If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum.

(2)

Summary

S

ocial and technological developments resulted in an increase of electricity de-mand, generated by an ever increasing amount of renewable energy sources. Despite its potential benefits, a continuation of these developments poses signifi-cant challenges to the planning and operation of the existing power networks. An important operational aspect in power networks is the regulation of its frequency, which is the focus of this work.

In the presence of more and smaller generation units, careful coordination among the individual parts in the power network is needed, ensuring proper overall functi-oning. We design and analyse distributed controllers, that ensure that actions taken by local controllers are consistent with global optimality objectives, such as the mi-nimization of generation costs. The total energy of the power network plays a major role in this process, enabling the derivation of useful system theoretic properties without detailed knowledge of all components. Particularly, this work shows that energy functions are suitable to derive passivity properties of various nonlinear po-wer system models, that form an excellent staring point for the controller design. Proposed controllers are shown to regulate the frequency and to obtain an econo-mic dispatch.

The presented results explicitly incorporate two aspects that received less atten-tion despite their practical importance. First, since generated control signals conti-nuously adjust set points at the generation side, it is important to take into account the behavior of the generation side in a satisfactory level of detail. To this end, this work incorporates the turbine-governor dynamics in a more realistic manner than generally done in stability studies on optimal frequency regulation.

Second, an important aspect of proposed distributed solutions is the exchange of information among controllers over an underlying communication infrastructure. The combination of the continuous physical system and the digital communication,

(3)

210 Summary leads to an overall (hybrid) cyber-physical system. As a result of the stability analy-sis, we derive explicit bounds on the required communication intervals.

We show that it is, although challenging, of importance to incorporate the gene-ration side and the communication network explicitly in the design phase of control-lers and that neglecting these aspects can result in an unjustified belief that stability of the network is guaranteed by suggested solutions.

Referenties

GERELATEERDE DOCUMENTEN

After showing (Section 3.2) that the dynamical model adopted to describe the power network is an incrementally pas- sive system with respect to solutions that are of interest

De Persis – “An internal model approach to frequency regulation in inverter-based microgrids with time-varying voltages,” Proceedings of the IEEE 53rd Conference on Decision and

4.2 Optimal regulation with input and flow constraints In this section we discuss the control objective and the various input and flow con- straints under which the objective should

Dissipation inequalities for non-passive dynamics The focus of this section was the characterization of the (optimal) steady state of the power network under constant power

This chapter proposes a distributed sliding mode control strategy for optimal Load Fre- quency Control (OLFC) in power networks, where besides frequency regulation also mi-

Communication requirements in a master-slave control structure Before we design the clock dynamics ˙ φ = f (φ) that ensure the stability of the system we make the following

broadcasting we, informally, mean that a node i sends (broadcasts) its current va- lue of θ i to its neighbouring nodes at discrete time instances.. Despite the

An important conclusion of this work is that it is important to incorporate the generation side and the communication network explicitly in the design phase of controllers and