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Effects of demand response programs on distribution system operation
Affiliation:1. Department of Electrical and Electronic Engineering, Instituto Tecnológico de Morelia, Morelia, Mich., Mexico;2. Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan;1. Department of Electrical Engineering, Science & Research Branch, Islamic Azad University, Tehran, Iran;2. SNL/CIPCE, School of ECE, College of Eng., University of Tehran, Tehran, Iran;3. Department of Electrical Engineering, Ferdowsi University of Mashhad, Iran;1. DEIB, Politecnico di Milano, via Ponzio 34/5, 20133 Milano, Italy;2. LRI, Paris-Sud University, Bat. 650, rue Noetzlin, 91405 Orsay, France;3. IUF, Institut Universitaire de France, France;4. LIPADE, Paris Descartes University, 45 rue des Saints Peres, 75270 Paris, France;1. Department of Electrical and Computer Engineering, University of Kurdistan, Sanandaj, PO Box 416, Kurdistan, Iran;2. C-MAST, University of Beira Interior, Covilhã 6201-001, Portugal;3. Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran;4. INESC-TEC and the Faculty of Engineering of the University of Porto, Porto 4200-465, Portugal;5. INESC-ID, Instituto Superior Técnico, University of Lisbon, Lisbon 1049-001, Portugal;1. Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran;2. Renewable Energy Research Center, Sahand University of Technology, Tabriz, Iran;3. Department of Electrical Engineering, Ilkhchi Branch, Islamic Azad University, Ilkhchi, Iran;4. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran;5. Electrical and Electronics Engineering Department, Mu?la S?tk? Koçman University, Mu?la, Turkey
Abstract:This paper discusses an analytical approach illustrating the effects of demand response (DR) programs on network operation efficiency. The contribution of DR is estimated using price elasticity of demand under two mechanisms of dynamic pricing: Critical Peak Pricing (CPP) tariff and Hourly Pricing (HP). Numerical examples are provided to explore the effects of DR on distribution networks’ operation.
Keywords:Dynamic pricing  Demand response  Distribution management system  Network reconfiguration
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