Energy Management of Microgrids with a Novel Customer Dissatisfaction Constrained Price-based Demand Response Program

This paper proposes a novel customer dissatisfaction-constrained price-based demand response (PBDR) program implemented to cope with the increasing energy needs. The load aggregator (LA) collects the customer’s priority setting and the preferred load-shift intervals. It then optimizes the energy consumption pattern to satisfy the end-user’s profit, taking his/her dissatisfaction cost into consideration. The microgrid operator (MGO) communicates with the load aggregator to collect the optimized load pattern and incorporates it into the microgrid’s energy management structure to boost the technical and economical attributes of microgrids. Numerous case studies show that the proposed algorithm is quite effective in decreasing the cost for the microgrid operator, as well as ensuring consistent user participation in the DR program with enhanced benefits.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905939
Primary Topic
Smart Grid Energy Management
Type
article
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article

Energy Management of Microgrids with a Novel Customer Dissatisfaction Constrained Price-based Demand Response Program

Nibir Baran Roy, Debapriya Das, Kutikuppala Nareshkumar
Smart Grid Energy Management
article

Energy Management of Microgrids with a Novel Customer Dissatisfaction Constrained Price-based Demand Response Program

Nibir Baran Roy, Debapriya Das, Kutikuppala Nareshkumar
article en

Abstract

This paper proposes a novel customer dissatisfaction-constrained price-based demand response (PBDR) program implemented to cope with the increasing energy needs. The load aggregator (LA) collects the customer’s priority setting and the preferred load-shift intervals. It then optimizes the energy consumption pattern to satisfy the end-user’s profit, taking his/her dissatisfaction cost into consideration. The microgrid operator (MGO) communicates with the load aggregator to collect the optimized load pattern and incorporates it into the microgrid’s energy management structure to boost the technical and economical attributes of microgrids. Numerous case studies show that the proposed algorithm is quite effective in decreasing the cost for the microgrid operator, as well as ensuring consistent user participation in the DR program with enhanced benefits.

Indian Institute of Technology Indore (IN)
Affordable and clean energy
Openalex Percentile: Top 74%
Smart Grid Energy Management
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Energy Management of Microgrids with a Novel Customer Dissatisfaction Constrained Price-based Demand Response Program — Nibir Baran Roy, Debapriya Das, et al. · (2024) | TGRS Research Map | TGRS