The New Energy Demand Equation Response Mechanisms for Consumers and Prosumers
A new energy management tool IDRPO is integrated demand response and prosumer optimization. IDRPO uses pro-consumer grid integration, consumer-centered energy management, and green energy allocation methods to stabilize the grid, boost energy efficiency, and empower energy users. This combination approach solves the current energy demand equation’s evolving issues. Method 1 maximizes energy consumption via consumer-centric energy management (CCEM). CCEM stabilizes the grid and saves money with flexible demand, real-time pricing, and consumer options. CCEM’s mathematical models help make sensible decisions like using energy off-peak and joining demand response programs. The Prosumer System Integration Model (PGIM) in method 2 determines if integrating prosumers to the energy system is feasible and inexpensive. PGIM determines customer assistance based on grid dependability, surplus energy, and power usage. This approach balances grid reliability and energy production. Method 3 shows how to transfer green energy to the grid using REAA. To ensure the project is cost-effective and environmentally friendly, REAA calculates the EII and CBR. The options reduce pollutants and boost the economy, improving green energy. The IDRPO’s strategy promotes grid safety, low prices, long-term solutions, consumer choice, and energy flexibility. It claims to solve all energy sector issues by respecting the law and improving the market.
Authors
- Neelu Gupta (ORCID: https://orcid.org/0000-0003-4885-1827)
- Lavish Kansal (ORCID: https://orcid.org/0000-0002-7504-8311)
- Q. Mohammad
- Gaurav Kumar
- V Asha (ORCID: https://orcid.org/0009-0003-0802-7849)
- Rowsonara Begum
Institutions
- Lovely Professional University (IN)
- University of Babylon (IQ)
- Horizon College and Seminary (CA)
- Birla Institute of Technology and Science - Hyderabad Campus (IN)
Publication Details
- Published
- 2024-09-18
- DOI
- https://doi.org/10.1109/ic3i61595.2024.10829096
- Primary Topic
- Smart Grid Energy Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00