Modelling of Multi-Terminal HVDC Systems in Optimal Power Flow - - PowerPoint PPT Presentation

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Modelling of Multi-Terminal HVDC Systems in Optimal Power Flow - - PowerPoint PPT Presentation

Modelling of Multi-Terminal HVDC Systems in Optimal Power Flow Formulation Mohamadreza Baradar, Student Member, IEEE, Mohammad R. Hesamzadeh, Member, IEEE and Mehrdad Ghandhari, Member, IEEE, Royal Institute of Technology Stockholm, October 2012


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Modelling of Multi-Terminal HVDC Systems in Optimal Power Flow Formulation

Mohamadreza Baradar, Student Member, IEEE, Mohammad R. Hesamzadeh, Member, IEEE and Mehrdad Ghandhari, Member, IEEE, Royal Institute of Technology Stockholm, October 2012

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  • Concern about the restricted power exchange due to lack of a

strong interconnection between the countries within EU.

  • Necessity of improving the level of power exchange as a

results of development of the renewable energies.

  • Multi-terminal HVDC (MTDC) systems:

 one the cost efficient ways to aggregate a huge amount of energy through interconnection of several renewable energy sources  Connect the aggregated power to the existing AC systems through a common DC network

  • MTDC systems can also be used for bulding an embedded DC

grid in the large AC grids

Multi-terminal HVDC (MTDC) systems

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Suppergrid Offshore Proposal

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Steady State Modeling of the MTDC in the Existing AC Systems

  • Extensive research to reveal steady state and dynamic behavior of

such hybrid AC-DC grids.

  • This study focuses on the modeling of VSC-based MTDC

systems in the optimal power flow formulation.

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AC Grid with Embedded MTDC System

PCCs+1

QCONVN PCONVs+1 PDCs+1 PCONV1 PDC1

PCC1 PCCs PCCN

PCONVs VDC1 VDCs VDCs+1 PDCs Zeqs+1 ZeqN Zeq1 Zeqs DC Network PDCN VDCN AC System QCONVs+1 PCONVN QCONVs QCONV1

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Steady State Model of VSC Station

PCC T D C F jBF ZT ZL RDC CDC RDC CDC

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AC and DC Sides Operating Modes

QCONV PCC PCONV Zeq PDC PCC PCONV Vset Zeq PDC

Active and reactive power control mode Active and AC voltage control mode

AC side control modes:

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AC and DC Sides Operating Modes

VDC PDC PDCset VDC PDC VDCset PDCmax PDCmin VDC PDC VDCset PDCset

Inverter Rectifier Inverter Rectifier Inverter Rectifier

Constant DC voltage mode DC voltage droop mode Constant DC power mode

DC SIDE DC side control modes:

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AC and DC Sides Operating Modes

  • DC slack bus:

One converter s is considered as a DC slack converter to regulate its DC voltage around a specified value.

PCCs+1

QCONVN PCONVs+1 PDCs+1 PCONV1 PDC1

PCC1 PCCs PCCN

PCONVs VDC1 VDCs VDCs+1 PDCs Zeqs+1 ZeqN Zeq1 Zeqs DC Network PDCN VDCN AC System QCONVs+1 PCONVN QCONVs QCONV1

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AC-DC OPF FORMULATION FOR MTDC SYSTEM

  • x is the vector of variables
  • F(x) is a scalar function of the vector x known as objective

function which can be fuel cost, active power losses or control

  • components. In this paper the objective function of the optimal power flow formulation

is the total cost of providing active powers.

  • H(x) is the equality constraint driven from the equations of

combined AC and DC systems.

  • G(x) is a vector containing inequality constraints such as power

transfer limit through the AC and DC lines.

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AC Grid Equations

  • Equality Constraints:
  • AC state variables can be defined:
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  • Inequality Constraints:

The boundary conditions on

  • nodal voltages
  • generator active and reactive powers
  • powers passing through the AC lines

AC Grid Equations

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Converters variables

  • The mismatch equations applying to PCC buses are as follows:
  • PCONVi and QCONVi are converter powers at PCCs and are set to zero for non-

PCC buses.

  • Moreover, QCONVi of the PCC bus whose converter is in the PV control mode

is set to zero.

  • Coverter variables:

PDCi D C F ICONV, ACi ICONVi QCONVi PGDi PINJ, ACi PINJ, DCi PCONVi QINJ, ACi QGDi ZL jBF Vi ZT IBi

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DC Grid Equations

  • Equality Constraints:
  • The DC mismatch equations:

where

  • DC state variables can be defined as follows:
  • Inequality Constraints:

VDC1 RDC1i VDCi VDCk RDC12 VDC2 RDC1k RDC2i PDC1 PDC2 PDCi PDCk DC grid PINJ,DC1

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Slack Station Equation

  • PCONVs power at the PCC connected to slack converter is

determined based on the DC network losses and other converters’ powers:

  • PL,stationi is the total loss in each converter station which is a

function of AC variables

  • PL,DC , DC network losses , is a function of DC variables
  • Therfore, PCONVs is obtained based on DC, AC and converter

variables (XDC, XAC and XC ).

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The whole AC-DC Equations

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Case Study

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Simulation Results

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Simulation Results

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CONCLUSION

  • This paper presents an optimal power flow formulation for hybrid AC-

DC networks.

  • The constraints deviled into three groups of equations: (a) AC grid

constraints, (b) multi-terminal HVDC constraints, and (c) DC grid constraints .

  • The formulated AC-DC OPF is coded in GAMS platform and tested on

IEEE 30 Bus system. Two scenarios of with and without MTDC system are studied and compared.

  • The AC-DC OPF results from the system with MTDC shows better

voltage profile as compared to the one without the MTDC. However, the total generation operating cost in the with-MTDC case is slightly increased.

  • Further research is currently ongoing to give us more insight to the
  • problem. The issue of locating the global optimum is also under

research.

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Thanks for your attention