Nerea Ruiz

ORCID: 0000-0003-0738-8645
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About
Contact & Profiles
Research Areas
  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Energy Load and Power Forecasting
  • Smart Grid Security and Resilience
  • Integrated Energy Systems Optimization
  • Microgrid Control and Optimization
  • Energy Efficiency and Management
  • Power Systems and Renewable Energy
  • Advanced Control Systems Optimization
  • Building Energy and Comfort Optimization
  • Hybrid Renewable Energy Systems
  • Business Strategy and Innovation
  • Optimal Power Flow Distribution

Euskadiko Parke Teknologikoa
2009-2023

Tecnalia
2009-2019

Technical Resources International (United States)
2019

Colciencias
2019

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> In the framework of liberalized electricity markets, distributed generation and controllable demand have opportunity to participate in real-time operation transmission distribution networks. This may be done by using virtual power plant (VPP) concept, which consists aggregating capacity many energy resources (DER) order make them more accessible manageable across markets. paper provides an...

10.1109/tpwrs.2009.2016607 article EN IEEE Transactions on Power Systems 2009-03-30

Flexibility of distributed energy resources is increasingly needed in the electricity markets and grids. But this dispersed flexibility can be used efficiently only if it aggregated to wholesale market products. A set software tools was developed for an actor or a company who aggregates flexible household demand network operators. The comprise 1) short term forecasting prices, 2) loads their responses control signals, 3) optimal selection signals consequently also each situation, 4) relevant...

10.1109/energycon.2012.6348227 article EN 2012-09-01

This paper describes a tool for an Aggregator to forecast the aggregated load demand response of group domestic customers subscribed indirect control program based on price/volume signals. The employs bottom-up approach physical end-use models where individual responses random sample are combined in order build model. Simulation is carried out with optimization algorithm mixed integer linear programming that minimizes electricity bill whilst maintaining consumer's comfort level. To improve...

10.1002/etep.1905 article EN International Transactions on Electrical Energy Systems 2014-04-08

Many projections of near-future electricity system foresee a constantly increasing necessity power flexibility services. In particular, thanks to the growing presence renewable generation and innovative load technologies, distribution resources are becoming attractive productsin ancillary services markets. order open market gates flexibility, constant interactions between transmission operators required European project SmartNet is investigating in detail possible coordination schemes among...

10.5281/zenodo.3248777 article EN 2019-06-03

This paper describes the approach taken in collaborative project INERTIA [1] with objective of introducing Internet Things — Services principles for enabling Demand Response (DR) operations. Nowadays, continuously increasing presence distributed intermittent energy sources along inelasticity demand pose significant challenges and undoubtedly have considerably negative impact on overall operation electricity grid. Furthermore, market is considered as inherently incomplete imperfectly...

10.1109/powereng.2015.7266329 article EN 2015-05-01

The research leading to this article has received funding from the European Union’s Horizon 2020 and innovation programme under grant agreement No 691405.

10.34890/722 article EN 2019-06-03

The research leading to this publication has received funding from the European Union’s Horizon 2020 and innovation programme under grant agreement No 691405.

10.5281/zenodo.3248867 article EN 2019-06-03

This paper presents and approach for optimizing the operation of a micro-Combined Heat Power system (µCHP) in real time price market scenario. The ob jective is to determine optimal set-point µCHP following five minutes according th e realtime signal sent by System Operator (SO) so as maximise profits obtained from device while thermal demand requirements are fulfil led. control algorithm makes use relative pri ce concept decision making process well p rice sensitivity information end-user....

10.1049/cp.2013.0548 article EN 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013) 2013-01-01
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