COCAPLEN: Computational Capacity Planning in Electricity Networks

COCAPLEN Capacity Planning

COCAPLEN: Computational Capacity Planning in Electricity Networks
This ability reduces large investment risks, which eases the integration of renewable energy production technologies and sustains a reliable electricity supply.

COCAPLEN: Computational Capacity Planning in Electricity Networks

Development of novel ICT tools for scenario simulation and decision-making in NCP

  • Thema: virtual infrastructures
  • Onderwerp: IT: Distributed Service Platform

COCAPLEN scenario simulation

The project develops novel ICT tools for scenario simulation and decision-making in NCP.

It develops network models and simulation platforms for realistic network and usage outcomes from parameter and scenario choices, and develops advanced and dedicated multi-objective optimization techniques in the field of EAs using those platforms.

COCAPLEN project focuses on computational optimization in Network Capacity Planning (NCP) and develops novel ICT tools for scenario simulation and decisionmaking in NCP.

  • It develops network models and simulation platforms for realistic network and usage outcomes from parameter and scenario choices
  • it develops advanced and dedicated multiobjective optimization techniques in the field of evolutionary algorithms, especially estimation-ofdistribution agorithms (EDAs), using those platforms in order to deal with the high complexity.

Foundations for future software systems

The project will deliver the foundations for future software systems that will enable regulators, network operators, consultants, and applied energy researchers to make informed decisions on electricity networks.

Especially, network operators will be enabled to incorporate the high uncertainty and complexity of the electricity sector in its planning processes.

This ability reduces large investment risks, which eases the integration of renewable energy production technologies and sustains a reliable electricity supply.

Decentralized durable energy supply in future networks

The project contributes to decentralized durable energy supply in future networks, with reliability of supply and cost-effectiveness.

Progress

  • On the electrical engineering side, literature overviews and requirements analyses have been performed that outline key aspects to be considered in network capacity planning (NCP), based on current manual network expansion planning processes and strategies.
  • These findings have been published in two electrical engineering conferences (UPEC 2012 and IEEE Young Researchers Symposium in Electrical Power Engineering 2012).
  • These results also serve as a foundation for discussions between TU/e and CWI leading to designing computer-science models that can be used for optimization in network planning.
  • An important topic regarding the dynamics of multi-objective evolutionary algorithms, the main optimization paradigm in COCAPLEN, has been studied.
  • Results have been presented at a computer science conference (PPSN 2012).
  • More recently, in cooperation, models have been developed to describe electric elements of a conventional medium-voltage (MV) distribution network and its working constraints (e.g. power flow capacity and voltage requirement).
  • First results for automated planning via optimization are currently being obtained and appear promising.

Researchers

Duration

August 2011 – November 2015

Financing

TKI S2SGDNV GL

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