Luis Alejandro Arias Barragán Edwin Rivas Trujillo Ph.D. Francisco Santamaría Ph.D. Línea de Investigación: Gestión de redes eléctricas Grupo de Investigación:

Presentación del tema: "Luis Alejandro Arias Barragán Edwin Rivas Trujillo Ph.D. Francisco Santamaría Ph.D. Línea de Investigación: Gestión de redes eléctricas Grupo de Investigación:"— Transcripción de la presentación:

1 Luis Alejandro Arias Barragán Edwin Rivas Trujillo Ph.D. Francisco Santamaría Ph.D. Línea de Investigación: Gestión de redes eléctricas Grupo de Investigación: Grupo de Compatibilidad Electromagnética-GCEM Platform model for the integration of users with distributed energy resources in distribution networks

2 Contextualization: Distributed Energy Resources Distributed Generation Energy Storage Systems Demand Response Dispersed Generation 2 3

3 Strategies of DER Integration de DER 3 FactorSCADAMicrogridVirtual Power Plant Main objective Control of DG devices, occasionally DR Control / Integration of DER in the network Management / Control and Integration of DER Application range Network elements Local sectors of the network Without any restrictions Infrastructure Control elements, sensors AMI (Advanced Measurements Instruments) devices, flow measurers, communications technology AMI devices, flow measurers, communications technology and energy market links OperationCentralized With the network or through islanding Centralized or decentralized Focus Technical efficiency of network elements Energy efficiency of the microgrid Energy and economic efficiency of the network Functional elements Control of DG, management of DR mechanisms DG control, storage control and DR Coordination / Control of DG, DR, storage systems, compensating elements, integration of electric vehicles

4 Network IEEE-34 nodes: Test Network

5 Caracteristics of test Network LOAD POWER LOAD POWER ACTIVE (kW) REACTIVE (kVAr) ACTIVE (kW) REACTIVE (kVAr) 81652,582424,512 84252,580627,514,5 86452,580227,514,5 85652,58463417 85452,58404731 8285,52,583048,521,5 8327,53,58366131,5 8108482267,535 8088484871,553,5 86214782084,543,5 8381478348945 818178,5860174106 8262010844432329 85824,512,5890450225

6 Users with DR and DG Users with DR and DG USER Installed Capacity (kW) Manageable Power (kW) DG Type DG POWER (kVA) 840473.2 - 83048.53.395 - 836614.27 - 82267.54.725 - 84871.55.005 - 82084.55.915 - 834896.23Photovoltaic10 86017412.18Photovoltaic15 84443230.24- 89045031.5Microturbine125

7

8

9 Extended data of User 834 registration in the platform User ID834 Installed power, kWManageable power, kWType of DG 896,23Photovoltaic10 Participation schedule in the DR program, hours 1234567891011121314151616 17 18 192021222324 001000110000000001100000 0.02 USD/kWh0.03 USD/kWh0.022 USD/kWh 0.025 USD/kWh

10 Demand Vector of Network Operator for one day Id No. 0001 Hour 123456789101112131415161718192021222324 kW201030--- 3530-------20 253510---

11 Sequence Diagramm

12 Optimization Problem of DR

13 Optimization Problem of DG

14 Conclusions The designed model of the integration platform is versatile and works for an unlimited number of users. It gathers the management-related characteristics of the distributed energy resources that are currently requested to the distribution networks. Modeling with UML allows the platform to be open to any type of software, hardware technology or search engine found on the Internet. The inclusion of the capacity to solve optimization problems in the integration platform makes it an effective tool for managing the resources of the network, thereby diminishing the impact of a massive participation of DER.

15 References References [1 ]S. Ruiz-Romero, A. Colmenar-Santos, F. Mur-Pérez, and Á. López-Rey, “Integration of distributed generation in the power distribution network: The need for smart grid control systems, communication and equipment for a smart city - Use cases,” Renew. Sustain. Energy Rev., vol. 38, pp. 223–234, 2014. [2]T. Ackermann, “Distributed resources and re-regulated electricity markets,” Electr. Power Syst. Res., vol. 77, no. 9, pp. 1148–1159, 2007. [3]T. Bruckner, R. Morrison, and T. Wittmann, “Public policy modeling of distributed energy technologies: strategies, attributes, and challenges,” Ecol. Econ., vol. 54, no. 2–3, pp. 328–345, 2005. [4]T. Dethlefs, T. Preisler, W. Renz, H. a W. Hamburg, and B. Tor, “A DER Registry System as an Infrastructural Component for future Smart Grid Applications Approaches on Data handling and main,” pp. 93–99, 2015. [5]J. Lai, H. Zhou, X. Lu, and Z. Liu, “Distributed power control for DERs based on networked multiagent systems with communication delays,” Neurocomputing, vol. 179, pp. 135–143, 2016. [6]S. You and H. Segerberg, “Integration of 100% micro-distributed energy resources in the low voltage distribution network: A Danish case study,” Appl. Therm. Eng., vol. 71, no. 2, pp. 797–808, 2013. [7]J. Schmutzler, C. Wietfeld, and C. A. Andersen, “Distributed energy resource management for electric vehicles using IEC 61850 and ISO/IEC 15118,” 2012 IEEE Veh. Power Propuls. Conf., pp. 1457–1462, 2012. [8]D. Muñoz-Álvarez, Á. I. Cadena, and J. M. Alzate, “Integrating variable distributed generation within short-term electricity markets,” 2012 IEEE PES Innov. Smart Grid Technol. ISGT 2012, pp. 1–8, 2012. [9] a. S. Dobakhshari, S. Azizi, and a. M. Ranjbar, “Control of microgrids: Aspects and prospects,” 2011 Int. Conf. Networking, Sens. Control. ICNSC 2011, no. April, pp. 38–43, 2011. [10] arias l Ramírez a., chica a., “MicroRed inteligente sustentable de biogás para zona no interconectada,” 2013. [11]P. B. Andersen, B. Poulsen, M. Decker, C. Traeholt, and J. Ostergaard, “Evaluation of a Generic Virtual Power Plant framework using service oriented architecture,” 2008 IEEE 2nd Int. Power Energy Conf., pp. 1212–1217, 2008. [12]K. Dietrich, J. M. Latorre, L. Olmos, and A. Ramos, “Modelling and assessing the impacts of self supply and market-revenue driven Virtual Power Plants,” Electr. Power Syst. Res., vol. 119, pp. 462–470, 2015. [13]Q. Fu et al., “Generation capacity design for a microgrid for measurable power quality indexes,” 2012 IEEE PES Innov. Smart Grid Technol. ISGT 2012, pp. 1–6, 2012. [14]K. Balamurugan, D. Srinivasan, and T. Reindl, “Impact of distributed generation on power distribution systems,” Energy Procedia, vol. 25, pp. 93– 100, 2012.