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Synergetic control for zonal distribution systems

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Title: Synergetic control for zonal distribution systems


1
Automatic Control Systems Department
NEW COORDINATING CONTROL STRATEGIES FOR POWER
SYSTEM OBJECTS (RESULTS AND PERSPECTIVES)
Anatoly KOLESNIKOV Gennadiy VESELOV Andrew
POPOV Boris DOLGOPJATOV Victor BELJAEV Andrew
KUZMENKO Alexander KOLESNIKOV
The highest wisdom is the ability to control
without using force Vovenarg
2
New Control Strategies
Problems
3
Simulation of Power System
Problems and Approaches
  • High order of the system
  • Non-linearity of the system caused by the
    presence of nonlinear components and connections
  • Stiffness of the system
  • Sparse matrices describing the system

Physical Object
  • Koshi task solution
  • Newton formula
  • Runge-Kutta methods
  • Explicit and implicit difference schemes
  • Terminal task solution
  • grid methods
  • variation methods

4
Particularities of the Simulation Tasks for
Controllable Systems
5
Functional Topology of Power System
6
Basic features of autonomous electric power
systems
  • Dynamic nature
  • Non-linearity
  • High dimension
  • Multiple connectivity
  • Presence of interacting subsystems
  • Amorphous structure
  • Possibility of chaotic behavior

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9
Structural hierarchy of power system
The whole power system
Subsystems of power system
groups of PSs objects,tied together by common
task, place, load, feeding etc.
Local objects of power system
sources, converters and consumers of electric
power
Hierarchy of automatic regulators
10
PSs Control Strategy Building
Main stages
  • Development of local control strategies for
    PSs objects
  • Development of coordinating control strategies
    for PSs interacting subsystems
  • Development of global control strategy for
    whole power system

Main problems
  • Analysis of fundamental properties of real PSs
    objects and processes of interaction in real PSs
    subsystems
  • Synthesis of local, coordinating and global
    regulators

11
New Control Strategies
Results of Research
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14
Development of New Control Strategy for
Turbo-generators
The Structure of Power System with a
Turbo-generator
15
Simulation Results for a Large Power
Turbogenerator
16
Simulation Results for the Turbogenerator of
Limited Power
17
Development of New Control Strategy for DC EMS
Structure of DC EMS Vector Control
Armature voltage
Excitation voltage
Power Bus
Control
Developed control strategies
  • Ensure performing by DC EMS various
    technological missions
  • shafts rotation speed stabilization
  • shafts rotation angle stabilization (positioning
    task)
  • regime of mechanical oscillation generator
    (mechanical oscillator )

Technological invariants
  • Ensure power losses minimization in power
    channels of DC EMS (power-saving control)

Power invariant
18
Examples of DC EMS control strategies
closed-loop systems simulation
2. Mechanical oscillator mode
1. Shafts rotation speed stabilization
3D phase portrait projection to space X1X2X3
(angle-speed-armature current)
In this case attractor of closed-loop system is
the cycle in phase space that located on the
intersection of invariant manifolds
hyper-surfaces of 4th order. In synergetic
synthesis procedure equations of well-known
oscillators (Van der Paul, Rayleigh, Poincare
etc.) were used.
Transients in phase coordinates and control
3D phase portrait
Transients in phase coordinates and control
19
Strategies of DC EMS power-saving control
Electric Power
Losses
Mechanical Power
20
Development of New Control Strategy for AC EMS
21
Examples of AC EMS control strategies
closed-loop systems simulation
Asynchronous Drive with a Shorted Rotor
22
Examples of AC EMS control strategies
closed-loop systems simulation
Synchronous Drive
23
Examples of AC EMS control strategies
closed-loop systems simulation
Synchronous Drive with constant magnet
24
Development of Coordinating Control Strategies
for PSs Subsystems
Power system consist of great number of
interacted objects. There can be the situation,
when local regulators dont ensure effective
realization of the objects technological
missions. In that case its necessary to
coordinate the joint work of interacted
objects.Systems designers have the task of
coordinating control strategies building.
Main types of objects interaction
Through common load (electrical or mechanical)
Through common feeding bus
25
Development of Coordinating Control Strategies
for Turbogenerators
working on common load
The Structure of Power System with pair
Turbo-generators
26
Simulation Results for the Large Power Group
Turbo-generators
27
Development of Coordinating Control Strategies
for a Group of Consumers
Fed from a Common Source of Limited Power
Interaction of consumers through a common source
is a characteristic feature of autonomous
systems. In this case the main function of
coordinating regulators is a power redistribution
in regimes of feeding worsening
Total Control Strategy for Subsystem Source -
Consumers Group
28
Basic Principles of Power Redistribution
  • Equal-priority
  • when the importance of all consumers in the
    group is equal.
  • Hierarchical
  • when all the consumers, depending on the
    importance of the task that they solve, should be
    clearly located at the steps of hierarchical
    ladder. That is they should have a certain level
    of priority.

Basic Stages of Control Strategies Building
1. Synthesis the local strategies for every
consumer of group 2. Building the model of
objects interaction through common source 3.
Determination of energy redistribution scheme and
set priority hierarchy (if it necessary) 4.
Synthesis a coordinating control strategy
29
Example of coordinating control strategy
Source Static Characteristic
Group hierarchy
DC EMS 1
DC EMS 2
DC EMS 3
EMS 1 stabilization of rotation speed
Group technological combination
EMS 2 mechanical oscillation regime
EMS 3 stabilization of rotation speed
30
Closed-loop system simulation
31
New Control Strategies
Perspectives
32
Recommendations for the Future Development of the
Power System Control Strategies
Local Level of Power System
  • Working out in detail of the mathematical
    models and basic laws of vector control for the
    local PSs objects that were obtained during the
    work on the project
  • Determining and classifying the disturbances
    the influencing the system from the natural and
    technological environment and building the
    control algorithms guarantying invariance of the
    controlled objects to the external disturbances
  • Researching the conditions of chaotic switching
    modes emergence and accounting the probability of
    such modes in the PSs objects control strategies
  • Estimation of the dissipate processes in the
    PSs objects and search for power-saving local
    control strategies

33
Group and Zonal Level of Power System
  • Perfecting the developed principles methods and
    ways of building the coordinating control
    strategies for the power system
  • Search for the most power-effective algorithms
    of coordination allowing to distribute power in
    multiply connected system with limited resources
  • Development of the methods of estimation of
    connective stability of the autonomous PS
    subsystems methods of synthesis of the
    structural-adaptive regulators that would ensure
    stability of the subsystems and would perform
    adequate power redistribution in case of changing
    of the group (zonal) configuration

34
Global Level of Power System
  • Development of the new approaches to the
    physical and mathematical decomposition of power
    systems
  • Development of the methods of estimation of
    connecting stability in the complex power systems
  • Development of the synergetic theory of
    computerized synthesis of coordinating systems of
    decentralized control of PS as multiply
    connected dynamic systems
  • Development of the methods of determining the
    informational and entropy qualities of the PS
  • Determining the conditions of chaotic modes
    emerging (spontaneous behavior) in the objects
    and PS subsystems
  • Development of the methods of directed
    self-organization of nonlinear dynamic systems
    for building the algorithms of control excluding
    or using the chaotic modes of behavior
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