Impact of Demand Response on Optimal Sizing of Distributed Generation and Customer Tariff

Krishna Mohan Reddy Pothireddy, Sandeep Vuddanti and Surender Reddy Salkuti
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Krishna Mohan Reddy Pothireddy: Department of Electrical Engineering, National Institute of Technology Andhra Pradesh (NIT-AP), Tadepalligudem 534101, India
Sandeep Vuddanti: Department of Electrical Engineering, National Institute of Technology Andhra Pradesh (NIT-AP), Tadepalligudem 534101, India
Surender Reddy Salkuti: Department of Railroad and Electrical Engineering, Woosong University, Daejeon 34606, Korea

Energies, 2021, vol. 15, issue 1, 1-31

Abstract: Due to the surge in load demand, the scarcity of fossil fuels, and increased concerns about global climate change, researchers have found distributed energy resources (DERs) to be alternatives to large conventional power generation. However, a drastic increase in the installation of distributed generation (DGs) increases the variability, volatility, and poor power quality issues in the microgrid (MG). To avoid prolonged outages in the distribution system, the implementation of energy management strategies (EMS) is necessary within the MG environment. The loads are allowed to participate in the energy management (EM) so as to reduce or shift their demands to non-peak hours such that the maximum peak in the system gets reduced. Therefore, this article addresses the complication of solutions, merits, and demerits that may be encountered in today’s power system and encompassed with demand response (DR) and its impacts in reducing the installation cost, the capital cost of DGs, and total electricity tariff. Moreover, the paper focuses on various communication technologies, load clustering techniques, and sizing methodologies presented.

Keywords: distributed energy resources; demand response; microgrid; load clustering techniques; sizing methodologies; communication technologies (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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