Comprehensive framework for smart residential demand side management with electric vehicle integration and advanced...

Area of Science:

• Electrical Engineering
• Computer Science
• Energy Systems

Background:

• The increasing adoption of electric vehicles (EVs) in residential sectors presents opportunities for improved energy utilization.
• Effective residential demand side management (RDSM) is crucial for economic energy consumption, grid stability, and reliability, especially during peak loads.
• EVs' bidirectional charging and storage capabilities can be leveraged within RDSM strategies.

Purpose of the Study:

• To formulate a robust and efficient RDSM technique for optimizing energy utilization scheduling.
• To investigate the multifaceted impact of EVs on RDSM, considering various operational modes and interactions.
• To analyze the synergistic effects of EVs with renewable energy sources (RES) and energy storage devices (ESDs) for enhanced residential energy management (REM).

Main Methods:

• A single-objective optimization formulation was developed, prioritizing economic energy utilization.
• The Binary Whale Optimization Algorithm (BWOA) was employed to schedule EV energy utilization within RDSM.
• Simulations were conducted to analyze EV roles as loads, storage devices, and in bidirectional operations, alongside RES and ESD integration.

Main Results:

• The proposed BWOA approach effectively schedules energy utilization, demonstrating EVs' significant impact on RDSM.
• Analysis revealed EVs' potential as flexible loads, storage devices, and supportive components for RES and ESDs.
• Consumer load priorities were successfully incorporated into the energy management framework.

Conclusions:

• EVs play a pivotal role in enhancing residential energy management (REM) through optimized scheduling.
• The integration of EVs with RES and ESDs offers substantial economic, environmental, and reliability benefits.
• The developed RDSM technique, utilizing BWOA, provides an effective solution for managing complex residential energy systems with EV penetration.