<p>This paper presents a detailed analysis of Demand Response (DR) strategies aimed at improving electricity consumption patterns and reducing energy costs for various customer classes. Through mathematical modeling and simulation, the effects of load shifting and cost calculation under real-time pricing (RTP) schemes are evaluated. The approach incorporates pre-DR and post-DR load profiles, factoring in subsidies and charging coefficients. The proposed DR strategies are validated on the IEEE 33-bus distribution system, considering four distinct customer classes. The results demonstrate significant cost reductions and load balancing achieved through peak load reduction and strategic load shifting to off-peak hours. This not only enhances grid reliability but also provides economic benefits by lowering electricity bills for consumers. The findings highlight the importance of DR in modern energy systems, offering a robust framework for future research and practical implementation in smart grids. This study contributes to the ongoing efforts to promote energy efficiency and sustainability in the power sector.</p>

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Impact of class-specific demand response strategies on load profiles and cost reduction in power distribution networks

  • Vivek Kumar Jain,
  • Bhanu Pratap Soni,
  • Ankit Kumar Sharma

摘要

This paper presents a detailed analysis of Demand Response (DR) strategies aimed at improving electricity consumption patterns and reducing energy costs for various customer classes. Through mathematical modeling and simulation, the effects of load shifting and cost calculation under real-time pricing (RTP) schemes are evaluated. The approach incorporates pre-DR and post-DR load profiles, factoring in subsidies and charging coefficients. The proposed DR strategies are validated on the IEEE 33-bus distribution system, considering four distinct customer classes. The results demonstrate significant cost reductions and load balancing achieved through peak load reduction and strategic load shifting to off-peak hours. This not only enhances grid reliability but also provides economic benefits by lowering electricity bills for consumers. The findings highlight the importance of DR in modern energy systems, offering a robust framework for future research and practical implementation in smart grids. This study contributes to the ongoing efforts to promote energy efficiency and sustainability in the power sector.