Customized normalization clustering meth-odology for consumers with heterogeneous characteristics
Abstract The increasing use and development of renewable energy sources and distributed generation, brought several changes to the power system operation. Electricity markets worldwide are complex and dynamic environments with very particular characteristics, resulting from their restructuring and evolution into regional and continental scales, along with the constant changes brought by the increasing necessity for an adequate integration of renewable energy sources. With the eminent implementation of micro grids and smart grids, new business models able to cope with the new opportunities are being developed. Virtual Power Players are a new type of player, which allows aggregating a diversity of entities, e.g. generation, storage, electric vehicles, and consumers, to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players` benefits. This paper proposes a clustering methodology regarding the remuneration and tariff of VPP. It proposes a model to implement fair and strategic remuneration and tariff methodologies, using a clustering algorithm, applied to load values, submitted to different types of normalization process, which creates sub-groups of data according to their correlations. The clustering process is evaluated so that the number of data sub-groups that brings the most added value for the decision making process is found, according to the players characteristics. The proposed clustering methodology has been tested in a real distribution network with 30 bus, including residential and commercial consumers, photovoltaic generation and storage units
- Referencias
- Cómo citar
- Del mismo autor
- Métricas
Anil K. Jain, 2010. "Data Clustering: 50 years beyond K-Means". Pattern Recognition Letters, Elsevier, Vol. 31, Issue 8, pp.651-666. - https://doi.org/10.1016/j.patrec.2009.09.011
Anil K. Jain, M.N Murty, P.J. Flynn, 1999. "Data Clustering: A Review." ACM Computing Surveys, 31 (3). pp. 264-323. - https://doi.org/10.1145/331499.331504
Anthony C. Chrysopoulos, Andreas L. Symeonidis, Pericles A. Mitkas, 2009. "Improving agent bidding in power stock markets through a data mining enhanced agent platform". Agents and Data Mining Interaction"; Lecture Notes in Computer Science - https://doi.org/10.1007/978-3-642-03603-3_9
Blumsack S and Fernandez A., 2012. "Ready or not, here comes the smart grid!" Energy. 2012; 37(1): 61-8 - https://doi.org/10.1016/j.energy.2011.07.054
CAISO - California Independent System Operator. Available: http://www.caiso.com [accessed on July 2017]
Canizes B., Silva M., Faria P., Ramos S., Vale Z., 2015. "Resource Scheduling in Residential Microgrids Considering Energy Selling to External Players", Power Systems Conference (PSC 2015), South Carolina, USA, 10-13 March - https://doi.org/10.1109/PSC.2015.7101700
C. Ribeiro, T. Pinto, Z. Vale, 2016. "Customized Normalization Method to enhance the Clustering process of Consumption Profiles", 7th International Symposium on Ambient Intelligence (ISAMI'16), Spain, 1st-3rd June - https://doi.org/10.1007/978-3-319-40114-0_8
C. Ribeiro, T. Pinto, M. Silva, S. Ramos, Z. Vale, 2015. "Data Mining approach for Decision Support in real data based Smart Grid scenario" IATEM, Valencia, Spain, 1-4 September - https://doi.org/10.1109/DEXA.2015.33
C. Ribeiro, T. pinto, H. Morais, Z. Vale, G. Santos, 2013. "Intelligent Remuneration and Tariffs in for Virtual Power Players", IEEE PowerTech (POWERTECH) Grenoble, France, 16-20 June - https://doi.org/10.1109/PTC.2013.6652157
C. KienY, B. Berseneff, N. Hadjsaid, Y. Besanger, J. Maire, 2009. "On the concept and the interest of Virtual Power plant: some results from the European project FENIX", IEEE Power and Energy Society General Meeting, Calgary, Canada, 26-30, July - https://doi.org/10.1109/PES.2009.5275526
Dore A. and Regazzoni C., 2010, "Interaction Analysis with a Bayesian Trajectory Model", IEEE Intelligent Systems, vol. 25, no. 3, pp. 32-40 - https://doi.org/10.1109/MIS.2010.37
EPEXSPOT - European Power Exchange Products Day-Ahead Auction, 2015. Available: https://www.epexspot.com/en/product-info/auction, [accessed on July 2017].
Erev, I. and Roth, A.,1998. "Predicting how people play games with unique, mixed-strategy equilibria", American Economic Review, vol. 88, pp. 848-881
G. Chicco and I. Ilie, 2009. "Support Vector Clustering of Electrical Load Pattern Data". IEEE Transactions on Power Systems, vol.24, no.3, pp.1619-1628, August - https://doi.org/10.1109/TPWRS.2009.2023009
G. Chicco, R. Napoli, P. Postolache, M. Scutariu, C. Toader, 2003. "Customer Characterization Options for Improving the Tariff Offer", IEEE Transactions on Power Systems, Vol. 18, nº 1, pp. 381-387, February - https://doi.org/10.1109/TPWRS.2002.807085
G. Gan, C. Ma, J. Wu, 2007. "Data Clustering Theory, Algorithms and Applications", ASA-SIAM Series on Statistics and Applied Probability, SIAM, Philadelphia, ASA, Alexandria, VA - https://doi.org/10.1137/1.9780898718348
I. Praça, C. Ramos, Z. Vale, M. Cordeiro, 2003. "MASCEM: A Multi-Agent System that Simulates Competitive Electricity Markets", IEEE Intelligent Systems, 18, 6, pp. 54-60 - https://doi.org/10.1109/MIS.2003.1249170
MIBEL - Mercado Ibérico de Electricidade, 2017. Available: http://www.mibel.com/, [accessed on July 2017]
Mohammad Shahidehpour, Hatim Yamin, Zuyi Li., 2002. "Market Operations in Electric Power Systems: Forecasting, Scheduling, and Risk Management", Wiley-IEEE Press, pp. 233-274 - https://doi.org/10.1002/047122412X
Nord Pool Spot - Trading, Day-ahead market Elspot, 2016. Available: http://www.nordpoolspot.com/TAS/Day-ahead-market-Elspot/, [accessed on July 2017].
Oliveira P., Pinto T., Morais H., Vale Z., 2012. "MASGriP - A Multi-Agent Smart Grid Simulation Plataform," IEEE Power and Energy Society General Meeting, San Diego, California USA, pp. 1-10 - https://doi.org/10.1109/PESGM.2012.6345649
S. Ramos, J. Duarte, J. Soares, Z. vale, F. Duarte, 2012. "Typical Load Profiles in the Smart Grid Context - A Clustering Methods Comparison", IEEE Power and Energy Society General Meeting, San Diego CA, USA, 22-26 July - https://doi.org/10.1109/PESGM.2012.6345565
Sharma K.C., Bhakar R., Tiwari, H.P., 2014. "Strategic bidding for wind power producers in electricity markets." Energy Conversion and Management 2014, 86, 259-267, DOI: 10.1016/j.enconman.2014.05.002. - https://doi.org/10.1016/j.enconman.2014.05.002
Sioshansi, F.P., 2013. "Evolution of Global Electricity Markets - New paradigms, new challenges, new approaches", Academic Press.
Sousa T., Morais H., Vale Z., Faria P., Soares J., 2012. "Intelligent Energy Resource Management Considering Vehicle-to-Grid: A Simulated Annealing Approach," Smart Grid, IEEE Trans. on, 3, 535-542. - https://doi.org/10.1109/TSG.2011.2165303
T. Pinto, Z. Vale, F. Rodrigues, H. Norais, I. Praça, 2011. "Strategic Bidding Methodology for Electricity Markets using Adaptive Learning", Modern Approaches in Applied Intelligence, vol. 6704, pp.490-500 - https://doi.org/10.1007/978-3-642-21827-9_50
T. Pinto, Z. Vale, H. Morais, I.Praça, C. Ramos, 2009. "Multi-Agent Based Electricity Market Simulator With VPP: Conceptual and Implementation Issues", IEEE PES General Meeting. - https://doi.org/10.1109/PES.2009.5275565
Z. Vale, T. Pinto, I. Praça, H. Morais, 2011. "MASCEM - Electricity markets simulation with strategically acting players", IEEE Intelligent Systems, vol. 26, n. 2, Special Issue on AI in Power Systems and Energy Markets. - https://doi.org/10.1109/MIS.2011.3
Z. Vale, H. Morais, P. Faria, H. Khodr, J. Ferreira, P. Kadar, 2010. "Distributed Energy Resources Management with Cyber-Physical SCADA in the Context of Future Smart Grids", 15thIEEE Mediterranean Elect. Conf., Malta, 25-28 April. - https://doi.org/10.1109/MELCON.2010.5476239
Anil K. Jain, M.N Murty, P.J. Flynn, 1999. "Data Clustering: A Review." ACM Computing Surveys, 31 (3). pp. 264-323. - https://doi.org/10.1145/331499.331504
Anthony C. Chrysopoulos, Andreas L. Symeonidis, Pericles A. Mitkas, 2009. "Improving agent bidding in power stock markets through a data mining enhanced agent platform". Agents and Data Mining Interaction"; Lecture Notes in Computer Science - https://doi.org/10.1007/978-3-642-03603-3_9
Blumsack S and Fernandez A., 2012. "Ready or not, here comes the smart grid!" Energy. 2012; 37(1): 61-8 - https://doi.org/10.1016/j.energy.2011.07.054
CAISO - California Independent System Operator. Available: http://www.caiso.com [accessed on July 2017]
Canizes B., Silva M., Faria P., Ramos S., Vale Z., 2015. "Resource Scheduling in Residential Microgrids Considering Energy Selling to External Players", Power Systems Conference (PSC 2015), South Carolina, USA, 10-13 March - https://doi.org/10.1109/PSC.2015.7101700
C. Ribeiro, T. Pinto, Z. Vale, 2016. "Customized Normalization Method to enhance the Clustering process of Consumption Profiles", 7th International Symposium on Ambient Intelligence (ISAMI'16), Spain, 1st-3rd June - https://doi.org/10.1007/978-3-319-40114-0_8
C. Ribeiro, T. Pinto, M. Silva, S. Ramos, Z. Vale, 2015. "Data Mining approach for Decision Support in real data based Smart Grid scenario" IATEM, Valencia, Spain, 1-4 September - https://doi.org/10.1109/DEXA.2015.33
C. Ribeiro, T. pinto, H. Morais, Z. Vale, G. Santos, 2013. "Intelligent Remuneration and Tariffs in for Virtual Power Players", IEEE PowerTech (POWERTECH) Grenoble, France, 16-20 June - https://doi.org/10.1109/PTC.2013.6652157
C. KienY, B. Berseneff, N. Hadjsaid, Y. Besanger, J. Maire, 2009. "On the concept and the interest of Virtual Power plant: some results from the European project FENIX", IEEE Power and Energy Society General Meeting, Calgary, Canada, 26-30, July - https://doi.org/10.1109/PES.2009.5275526
Dore A. and Regazzoni C., 2010, "Interaction Analysis with a Bayesian Trajectory Model", IEEE Intelligent Systems, vol. 25, no. 3, pp. 32-40 - https://doi.org/10.1109/MIS.2010.37
EPEXSPOT - European Power Exchange Products Day-Ahead Auction, 2015. Available: https://www.epexspot.com/en/product-info/auction, [accessed on July 2017].
Erev, I. and Roth, A.,1998. "Predicting how people play games with unique, mixed-strategy equilibria", American Economic Review, vol. 88, pp. 848-881
G. Chicco and I. Ilie, 2009. "Support Vector Clustering of Electrical Load Pattern Data". IEEE Transactions on Power Systems, vol.24, no.3, pp.1619-1628, August - https://doi.org/10.1109/TPWRS.2009.2023009
G. Chicco, R. Napoli, P. Postolache, M. Scutariu, C. Toader, 2003. "Customer Characterization Options for Improving the Tariff Offer", IEEE Transactions on Power Systems, Vol. 18, nº 1, pp. 381-387, February - https://doi.org/10.1109/TPWRS.2002.807085
G. Gan, C. Ma, J. Wu, 2007. "Data Clustering Theory, Algorithms and Applications", ASA-SIAM Series on Statistics and Applied Probability, SIAM, Philadelphia, ASA, Alexandria, VA - https://doi.org/10.1137/1.9780898718348
I. Praça, C. Ramos, Z. Vale, M. Cordeiro, 2003. "MASCEM: A Multi-Agent System that Simulates Competitive Electricity Markets", IEEE Intelligent Systems, 18, 6, pp. 54-60 - https://doi.org/10.1109/MIS.2003.1249170
MIBEL - Mercado Ibérico de Electricidade, 2017. Available: http://www.mibel.com/, [accessed on July 2017]
Mohammad Shahidehpour, Hatim Yamin, Zuyi Li., 2002. "Market Operations in Electric Power Systems: Forecasting, Scheduling, and Risk Management", Wiley-IEEE Press, pp. 233-274 - https://doi.org/10.1002/047122412X
Nord Pool Spot - Trading, Day-ahead market Elspot, 2016. Available: http://www.nordpoolspot.com/TAS/Day-ahead-market-Elspot/, [accessed on July 2017].
Oliveira P., Pinto T., Morais H., Vale Z., 2012. "MASGriP - A Multi-Agent Smart Grid Simulation Plataform," IEEE Power and Energy Society General Meeting, San Diego, California USA, pp. 1-10 - https://doi.org/10.1109/PESGM.2012.6345649
S. Ramos, J. Duarte, J. Soares, Z. vale, F. Duarte, 2012. "Typical Load Profiles in the Smart Grid Context - A Clustering Methods Comparison", IEEE Power and Energy Society General Meeting, San Diego CA, USA, 22-26 July - https://doi.org/10.1109/PESGM.2012.6345565
Sharma K.C., Bhakar R., Tiwari, H.P., 2014. "Strategic bidding for wind power producers in electricity markets." Energy Conversion and Management 2014, 86, 259-267, DOI: 10.1016/j.enconman.2014.05.002. - https://doi.org/10.1016/j.enconman.2014.05.002
Sioshansi, F.P., 2013. "Evolution of Global Electricity Markets - New paradigms, new challenges, new approaches", Academic Press.
Sousa T., Morais H., Vale Z., Faria P., Soares J., 2012. "Intelligent Energy Resource Management Considering Vehicle-to-Grid: A Simulated Annealing Approach," Smart Grid, IEEE Trans. on, 3, 535-542. - https://doi.org/10.1109/TSG.2011.2165303
T. Pinto, Z. Vale, F. Rodrigues, H. Norais, I. Praça, 2011. "Strategic Bidding Methodology for Electricity Markets using Adaptive Learning", Modern Approaches in Applied Intelligence, vol. 6704, pp.490-500 - https://doi.org/10.1007/978-3-642-21827-9_50
T. Pinto, Z. Vale, H. Morais, I.Praça, C. Ramos, 2009. "Multi-Agent Based Electricity Market Simulator With VPP: Conceptual and Implementation Issues", IEEE PES General Meeting. - https://doi.org/10.1109/PES.2009.5275565
Z. Vale, T. Pinto, I. Praça, H. Morais, 2011. "MASCEM - Electricity markets simulation with strategically acting players", IEEE Intelligent Systems, vol. 26, n. 2, Special Issue on AI in Power Systems and Energy Markets. - https://doi.org/10.1109/MIS.2011.3
Z. Vale, H. Morais, P. Faria, H. Khodr, J. Ferreira, P. Kadar, 2010. "Distributed Energy Resources Management with Cyber-Physical SCADA in the Context of Future Smart Grids", 15thIEEE Mediterranean Elect. Conf., Malta, 25-28 April. - https://doi.org/10.1109/MELCON.2010.5476239
Ribeiro, C., Pinto, T., Vale, Z., & Baptista, J. (2018). Customized normalization clustering meth-odology for consumers with heterogeneous characteristics. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 7(2), 53–69. https://doi.org/10.14201/ADCAIJ2018725369
Most read articles by the same author(s)
- Tiago Pinto, Luis Marques, Tiago M Sousa, Isabel Praça, Zita Vale, Samuel L Abreu, Data-Mining-based filtering to support Solar Forecasting Methodologies , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 6 No. 3 (2017)
- Ricardo Faia, Tiago Pinto, Fernando Lezama, Zita Vale, Juan Manuel Corchado, Alfonso González-Briones, Prosumers Flexibility as Support for Ancillary Services in Low Voltage Level , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 11 No. 1 (2022)
- Gabriel Santos, Tiago Pinto, Zita Vale, Isabel Praça, Hugo Morais, Enabling Communications in Heterogeneous Multi-Agent Systems: Electricity Markets Ontology , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 5 No. 2 (2016)
- Aria Jozi, Tiago Pinto, Isabel Praça, Francisco Silva, Brigida Teixeira, Zita Vale, Genetic fuzzy rule-based system using MOGUL learning methodology for energy consumption forecasting , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 8 No. 1 (2019)
- Ricardo Faia, Tiago Pinto, Zita Vale, Dynamic Fuzzy Clustering Method for Decision Support in Electricity Markets Negotiation , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 5 No. 1 (2016)
Downloads
Download data is not yet available.
+
−