A Novel Algorithm with Multiple Consumer Demand Response Priorities in Residential Unbalanced LV Electricity Distribution Networks

Ovidiu Ivanov, Samiran Chattopadhyay, Soumya Banerjee, Bogdan-Constantin Neagu, Gheorghe Grigoras and Mihai Gavrilas
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Ovidiu Ivanov: Department of Power Engineering, Gheorghe Asachi Technical University of Iasi, 700050 Iasi, Romania
Samiran Chattopadhyay: Department of Information Technology, Jadavpur University, Salt Lake Campus, Kolkata 700106, India
Soumya Banerjee: Department of Information Technology, Jadavpur University, Salt Lake Campus, Kolkata 700106, India
Bogdan-Constantin Neagu: Department of Power Engineering, Gheorghe Asachi Technical University of Iasi, 700050 Iasi, Romania
Gheorghe Grigoras: Department of Power Engineering, Gheorghe Asachi Technical University of Iasi, 700050 Iasi, Romania
Mihai Gavrilas: Department of Power Engineering, Gheorghe Asachi Technical University of Iasi, 700050 Iasi, Romania

Mathematics, 2020, vol. 8, issue 8, 1-24

Abstract: Demand Side Management (DSM) is becoming necessary in residential electricity distribution networks where local electricity trading is implemented. Amongst the DSM tools, Demand Response (DR) is used to engage the consumers in the market by voluntary disconnection of high consumption receptors at peak demand hours. As a part of the transition to Smart Grids, there is a high interest in DR applications for residential consumers connected in intelligent grids which allow remote controlling of receptors by electricity distribution system operators and Home Energy Management Systems (HEMS) at consumer homes. This paper proposes a novel algorithm for multi-objective DR optimization in low voltage distribution networks with unbalanced loads, that takes into account individual consumer comfort settings and several technical objectives for the network operator. Phase load balancing, two approaches for minimum comfort disturbance of consumers and two alternatives for network loss reduction are proposed as objectives for DR. An original and faster method of replacing load flow calculations in the evaluation of the feasible solutions is proposed. A case study demonstrates the capabilities of the algorithm.

Keywords: demand response; multi-objective optimization; MOPSO algorithm; residential electricity distribution networks (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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