{"id":397,"date":"2018-05-11T09:26:26","date_gmt":"2018-05-11T09:26:26","guid":{"rendered":"http:\/\/localhost\/?page_id=397"},"modified":"2022-10-10T15:28:57","modified_gmt":"2022-10-10T15:28:57","slug":"home-cabecalho-fixo-do-tema","status":"publish","type":"page","link":"https:\/\/optigrid.lneg.pt\/","title":{"rendered":"Home"},"content":{"rendered":"\t\t
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Methodology for Analysis of Dynamic Line Capacity
and Optimized Management of Electric Grids <\/b>

(PTDC \/ EEI-EEE \/ 31711\/2017)\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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This project aims the development of a methodology and an operational tool for the Dynamic Line Rating (DLR) analysis of potentially congested electrical networks for optimal integration of renewable energy sources (REs) in a cost-efficient way. DLR steady-state analysis is traditionally used to assess the seasonal capacities of power systems lines. The OptiGRID project will demonstrate the benefits of using DLR techniques namely in terms of 1) increasing the RES penetration levels and reducing the need for curtailment in the power system and 2) reducing the number of market splitting hours in the Electricity Market and consequent impact on electricity market prices, thus contributing to a more sustainable, energy and cost-efficient economy. The implementation of DLR analysis will play a key role in increasing RES penetration levels into the existing power system, without requiring grid reinforcement. The resulting additional power line capacity from DLR analysis alleviates congestion problems and allowing higher levels of distributed RES capacity in the power system. This becomes of particular importance in systems with high generation of wind power (as in the Portuguese case) because of the existing correlation between the higher line rating and the increased wind power generation achieved under high wind speed conditions, where the extra cooling effect of wind speed provides the alleviation of congestions and the consequent accommodation of higher wind power levels. <\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Schematic representation of a quasi-stationary approach for DLR analysis of potentially congested networks.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Although the benefits of applying DLR techniques have local nature and depend on weather conditions, preliminary studies indicate an increase of the line capacity up to 20%, significantly more than the one obtained by the usual conservative static approach. This increase on the line capacity is also important for system operators concerning power exchanges with neighbouring countries. The Import\/Export capacity is dependent on some relevant branches (not only the tie-lines) which will benefit from the increased capacity allowed by applying DLR techniques. This is especially important when the power exchanges limited by line capacity may cause a market split with an impact on the corresponding market prices. The envisaged tool will allow the assessment of DLR analysis facilitate massive integration of RES considering not only actual operational conditions, topology, and electrical characteristics of the transmission network (TN) but also the foreseen expansions of the TN accommodating higher renewable levels. Suitable case studies will be developed under OptiGRID considering current and future scenarios of high RES penetration levels in the power system, as well as different constraints.<\/p>

Characteristics<\/b>
This work is funded by national funds through the FCT \u2013 Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia, I.P., under the grant\u00a0PTDC\/EEI-EEE\/31711\/2017.<\/span><\/p>

Project Financial data <\/b><\/div>

Date of approval: 06.07.2018
Total eligible cost: 239.874,06\u20ac<\/span><\/p>

Project Duration<\/b><\/div>

Start date: 01.10.2018
End date: 30.09.2021<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Objectives
<\/b>The goal of this project is the development of a methodology and an operational tool for the Dynamic Line Rating (DLR) analysis of potentially congested electrical networks to allow an optimal integration of renewable power in a cost-efficient way. The OptGRID project (and tool developed) will demonstrate the benefits of using Dynamic Line Rating (DLR) techniques namely in terms of: 1) increasing the levels of renewable penetration (avoided curtailment) in the power system and 2) reducing the number of market splitting hours in the Electricity Market and consequent impact on electricity market prices. The goals of the project will be achieved through the application of its tools to different case studies bearing in mind current and future scenarios of high renewable power penetration levels in the power system, as well as different constraints occurring in the operation of the Electricity Market, which may cause the activation of market splitting mechanism.<\/p>

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Workflow of the project\u2019s methodology.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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The Dynamic Line Rating Process: the DLR analysis will be used to assess the actual capacity (ampacity) for the lines near congestion. Since the cable temperature is a preeminent factor in computing the power line\u2019s ampacity, its thermal behavior assessment leads to a quasi-stationary approach modeled as an iterative process with a time step of one hour over the day-ahead energy market time horizon. For each iteration step, the power flow values from an OPF (Optimal Power Flow), without DLR, are to be used to obtain the actual values flowing in each one of the near congested power lines. Those current values are then used to compute the cables resistance used on the thermal equilibrium balance to assess the hourly \u201creal\u201d ampacity values of the power line.

WP1 Coordination and management <\/b>
The present WP is dedicated to the project management and coordination, including the elaboration of an exploitation plan for the project results.

WP2 Meteorological, network and market data <\/b>
This WP deals with the necessary data to conduct OptiGRID research activities. It will make use of:
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\u00b7<\/b> Meteorological data: hourly forecast meteorological data with a time horizon comprising the day-ahead market;
\u00b7<\/b> Transmission network data: transmission network technical and geographical information;
\u00b7<\/b> Electricity market data: Electricity prices, market splitting activation market related to market operation.

The data from this task will feed the DLR and the optimal power flow (OPF) modules, developed within the project, for application to each case study.

WP3 Development of models for active, high efficiency electric network operation
<\/b>In this WP, three major objectives are to be achieved:

\u00b7<\/b> Develop, adapt and incorporate mathematical models, for networks with high levels of variable renewable generation (VRE), to the study of the constraints arising at national transmission grid (RNT) operation, from both the high penetration level of renewable energy and the impositions ensuing from the energy market operation thus allowing to quantify the benefits resulting from including the DLR analysis.

\u00b7<\/b> Build a DLR analysis software, which will incorporate the developed models under a structured operational methodology, to allow automated DLR analysis in large-scale power networks with high levels of distributed VRE.

\u00b7<\/b> Develop a Geographic Information System (GIS) interface, as a user-friendly interaction platform, to aggregate a set of procedures suitable to perform the diverse analysis defined in the present project and guide the user through the different steps in each procedure.

WP4 Development of RES Case Studies <\/b>
In this task three case-studies will be defined:

\u00b7<\/b> A region with large distributed wind capacity;
\u00b7<\/b> A region with large PV production
\u00b7<\/b> Market splitting occurrence in MIBEL due to congestion in interconnections.
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Given the fact that 20% of the overhead power lines in the RNT are exploited near their thermal limits, and the operational gains granted by using DLR, an analysis of the utilization rate of the lines in the region of case studies is proposed to identify potentially congested lines.

WP5 Implementation of models. Analysis of results
<\/b>This task will use the models and tools developed in the scope of OptiGRID. It will apply them to the three different case studies built within WP 4. The impact of applying the DLR analysis tool to real case studies will be demonstrated and analyzed.

WP6 Dissemination and valorization of OptiGRID results<\/b>
The dissemination and valorization activities developed in this task are planned to communicate project activities and outcomes to a wide audience, which includes industry, academia, policymakers, and the general public. In this WP a dissemination plan will be developed and implemented.

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LNEG<\/b>
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R&D NESTER<\/b>
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Team<\/strong><\/b><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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LNEG\u00a0\u00a0
<\/b>Ana Estanqueiro (Coordinator)
Teresa Sim\u00f5es
Ant\u00f3nio Couto
Joaquim Duque
Hugo Algarvio
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R&D NESTER
<\/b>Rui Pestana (Co-Coordinator)
Nuno Souza e Silva
Jo\u00e3o Esteves
Cao Yang
Isabel Alvite<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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OptiGRID Workshop<\/b><\/h1>

Localiza\u00e7\u00e3o: Edif\u00edcio Solar XXI, LNEG – Campus do Lumiar
<\/b>Evento a realizar: 20\/09\/2022<\/b>
Hor\u00e1rio: 14:30-16:30<\/b>
Data de Publica\u00e7\u00e3o: 09 setembro, 2022<\/b><\/p>

O LNEG e o R&D NESTER t\u00eam o prazer de o\/a convidar para a apresenta\u00e7\u00e3o dos resultados do projeto OptiGRID. Neste projecto foi desenvolvida uma ferramenta operacional que permite avaliar a capacidade de transmiss\u00e3o das linhas el\u00e9tricas (OptiRES.line). Esta ferramenta, OptiRES.line modela o comportamento das linhas, em particular perto de congestionamento, e calcula as suas \u201campacidades\u201d din\u00e2micas para a avalia\u00e7\u00e3o do tr\u00e2nsito de energia optimizado.<\/p>

O funcionamento da ferramenta ser\u00e1 demonstrado nesta sess\u00e3o, atrav\u00e9s da aplica\u00e7\u00e3o a tr\u00eas casos de estudo reais, em Portugal. Dois deles envolvem redes regionais com elevados n\u00edveis de produ\u00e7\u00e3o, respectivamente, de energia e\u00f3lica e solar e o terceiro envolve as linhas internacionais portuguesas permitindo avaliar o grau de redu\u00e7\u00e3o das condi\u00e7\u00f5es conducentes \u00e0 separa\u00e7\u00e3o dos mercados, no \u00e2mbito do MIBEL.<\/p>

O projeto OptiGRID foi parcialmente financiado pela FCT – Funda\u00e7\u00e3o de Ci\u00eancia e Tecnologia PTDC\/EEI-EEE\/31711\/2017.<\/p>

Consulte o programa do evento<\/b><\/a>.<\/p>

Inscreva-se\u00a0aqui<\/b><\/a>\u00a0de forma gratuita.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Documents<\/strong><\/p>\n

Deliverables
\n<\/strong>Deliverable 2.1: Validation of transmission network and MIBEL data<\/a><\/u>
\nDeliverable 2.2: Meteorological forecast data – Coupling NWP and CFD Modelling. Merging the datasets<\/a><\/u>
\nDeliverable 3.1: Development of mathematical DLR and power system models<\/a><\/u>
\nDeliverable 4.1: Development of RES Case studies A and B: regions predominantly with a) wind distributed generation and b) with photovoltaic distributed generation<\/u> (Public Version)<\/a>
\nDeliverable 4.2: Case study C – Market splitting scenarios in MIBEL<\/a><\/u><\/p>\n


\nScientific<\/strong> Publications
\n<\/strong>
\nInternational journals<\/b>
\nCouto, Ant\u00f3nio, J. Silva, P. Costa, D. Santos, T. Sim\u00f5es, and A. Estanqueiro, \u201cTowards a high-resolution offshore wind Atlas – The Portuguese Case,\u201d J. Phys. Conf. Ser., vol. 1356, no. 012029, p. 14, Oct. 2019 [Open access]. URL: https:\/\/iopscience.iop.org\/article\/10.1088\/1742-6596\/1356\/1\/012029<\/a><\/u><\/p>\n

Couto, Ant\u00f3nio, and Ana Estanqueiro. “Exploring Wind and Solar PV Generation complementarity to meet electricity demand.” Energies 13, no. 16 (2020): 4132. [Open access]. https:\/\/www.mdpi.com\/1996-1073\/13\/16\/4132<\/a><\/u><\/p>\n

Couto, Ant\u00f3nio, Paula Costa, and Teresa Sim\u00f5es. “Identification of Extreme Wind Events Using a Weather Type Classification.” Energies 14, no. 13 (2021): 3944. [Open access]. https:\/\/www.mdpi.com\/1996-1073\/14\/13\/3944<\/a><\/u><\/p>\n

Couto, Ant\u00f3nio, and Ana Estanqueiro. “Assessment of wind and solar PV local complementarity for the hybridization of the wind power plants installed in Portugal.” Journal of Cleaner Production 319 (2021): 128728. [Subscript]. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0959652621029279<\/a><\/u><\/p>\n

Algarvio, Hugo. “Least-Cost Non-RES Thermal Power Plants Mix in Power Systems with Majority Penetrations of Renewable Energy.” Electricity 2, no. 4 (2021): 403-422. [Open access]. https:\/\/www.mdpi.com\/2673-4826\/2\/4\/24<\/a><\/u><\/p>\n


\nInternational<\/strong> conferences<\/strong>
Estanqueiro, Ana, Claes Ahlrot, Joaquim Duque, Duarte Santos, Jake P. Gentle, Alexander W. Abboud, Kateryna Morozovska, Patrik Hilber, L. Soder, and Thomas Kanefendt. “DLR use for optimization of network design with very large wind (and VRE) penetration.” In WIW18-263 Presentation. Wind Integration Workshop. 2018. [Open access]. https:\/\/www.diva-portal.org\/smash\/get\/diva2:1260903\/FULLTEXT01.pdf<\/a><\/u><\/p>\n

Algarvio, H., Lopes, F., Santana, J., \u201cHydro-Wind Balance in Daily Electricity Markets: A Case-Study\u201d, in International Conference on Practical Applications of Agents and Multi-Agent Systems, \u00c1vila, Spain, 27 June 2019, 26 slides. [Subscript] https:\/\/www.springerprofessional.de\/en\/hydro-wind-balance-in-daily-electricity-markets-a-case-study\/16845216<\/a><\/u><\/p>\n

Couto, Ant\u00f3nio, Joaquim Duque, Hugo Algarvio, Ana Estanqueiro, Rui Pestana, Jo\u00e3o Esteves, and Yang Cao. “Impact of the dynamic line rating analysis in regions with high levels of wind and solar PV generation.” In 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), pp. 1206-1210. IEEE, 26-28 Outubro 2020. [Subscript] https:\/\/ieeexplore.ieee.org\/document\/9248765<\/a><\/u><\/p>\n

Rui Pestana, Jo\u00e3o Esteves, Yang Cao, Ana Estanqueiro, Joaquim Duque, Ant\u00f3nio Couto, Hugo Algarvio and Teresa Sim\u00f5es. “Aplica\u00e7\u00e3o do Dynamic Line Rating para minimizar o Market Split no MIBEL” In Evex2021, 6-10 Dezembro 2021.<\/span><\/p>\n

Algarvio, Hugo, Ant\u00f3nio Couto, Joaquim Duque, Ana Estanqueiro Rui Pestana, Jo\u00e3o Esteves, and Yang Cao. <\/span>\u201cIncrease Cross-Border Capacity to Reduce Market Splitting of Day-Ahead Electricity Markets\u2013A Dynamic Line Rating Approach\u201d. In IEEE\/PES Transmission and Distribution Conference and Exposition (T&D), 25<\/span><\/span>-29 Abril 2022<\/span><\/span>. IEEE, 2022. [Subscript]<\/span><\/span> <\/span><\/span><\/p>\n


\nNational conferences<\/strong>
\nAlgarvio, H., \u201cWind Power Integration in Electricity Markets\u201d, in 2019 Annual MIT Portugal Conference, poster, Azores, 30 Setembro 2019<\/p>\n

Couto, Ant\u00f3nio, P. Ferreira, e Ana Estanqueiro. “Centrais h\u00edbridas: caracteriza\u00e7\u00e3o da complementaridade e\u00f3lica e solar fotovoltaica em Portugal.” In CIES2020-XVII Congresso Ib\u00e9rico e XIII Congresso Ibero-americano de Energia Solar, pp. 57-65. LNEG-Laborat\u00f3rio Nacional de Energia e Geologia, 3 a 5 de novembro de 2020. [Open access]. https:\/\/repositorio.lneg.pt\/bitstream\/10400.9\/3343\/1\/Cies2020_1_1005.pdf<\/a><\/u><\/p>\n

Algarvio, Hugo, Ant\u00f3nio Couto, Fernando Lopes, e Ana Estanqueiro. “Participa\u00e7\u00e3o estrat\u00e9gica dos parques e\u00f3licos nos mercados de eletricidade.” In CIES2020-XVII Congresso Ib\u00e9rico e XIII Congresso Ibero-americano de Energia Solar, pp. 97-105. LNEG-Laborat\u00f3rio Nacional de Energia e Geologia, 3 a 5 de novembro de 2020. [Open access]. https:\/\/repositorio.lneg.pt\/bitstream\/10400.9\/3348\/1\/Cies2020_1_1009.pdf<\/a><\/u><\/p>\n


\nAdvanced Education<\/strong> (Master Thesis)
\nFrederico Melo \u201cAcoplamento modelos mesoescala\/microescala – calibra\u00e7\u00e3o para aplica\u00e7\u00f5es de an\u00e1lise din\u00e2mica da capacidade de transmiss\u00e3o de linhas el\u00e9ctricas\u201d, Tese de mestrado integrado em Engenharia da Energia e do Ambiente, Universidade de Lisboa, Faculdade de Ci\u00eancias, 2020. URL: https:\/\/repositorio.ul.pt\/bitstream\/10451\/45457\/1\/ulfc125990_tm_Frederico_Melo.pdf<\/a><\/u><\/p>\n

Jo\u00e3o Cravinho \u201cPrevis\u00e3o de curto tempo da produ\u00e7\u00e3o e\u00f3lica nacional\u201d, Tese de mestrado integrado em Engenharia da Energia e do Ambiente, Universidade de Lisboa, Faculdade de Ci\u00eancias, 2021.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\tLNEG - Laborat\u00f3rio Nacional de Energia e Geologia<\/b>\n
Estrada da Portela, Bairro do Zambujal\n
Apartado 7586 \u2013 Alfragide\n
2610-999 Amadora\n
PORTUGAL\t\t\t\t\t<\/p>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\tMonday - Friday<\/b>\n
9h00 > 12h30 - 14h00 > 17h30\n
\n
Project Coordinator<\/b>\n
Ana Estanqueiro\n
Tel. (+351) 21 092 46 00\n
Email: ana.estanqueiro@lneg.pt\n\n

Co-Coordinator<\/b>\n
Rui Pestana\n
Tel. (+351) 21 001 13 00\n
Email: rui.pestana@rdnester.pt\n\t\t\t\t\t<\/p>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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