Optimal Demand Response Using Battery Storage Systems and Electric Vehicles in Community Home Energy Management System-Based Microgrids

• DOI: 10.3390/en16135024
• Publication Date: 2023-06-29T05:43:13Z
• Authors: Ayesha Abbasi; Kiran Sultan; Sufyan Afsar; Muhammad Adnan Aziz; Hassan Abdullah K...
• Keywords: Peaking power plant; Demand Response; Peak demand; Load profile; Load management; Energy management system

Demand response (DR) strategies are recieving much attention recently for their applications in the residential sector. Electric vehicles (EVs), which considered to be a fairly new consumer load power sector, have opened up opportunities by providing active utilization of EVs as storage unit. Considering capacities, they can used vehicle-to-grid (V2G) or vehicle-to-community (V2C) options instead taking peak times from grid itself. This paper suggests community-based home energy management system microgrids achieve flatter demand and shaving using particle swarm optimization (PSO) user-defined constraints. A dynamic clustered scheduling scheme is proposed, including method managing rules specifically designed PV systems that grid-connected alongside battery electric vehicles. The technique being proposed involves determining limits feed-in dynamically, estimated demands profiles following day. Additionally, an optimal rule-based presented utility sets charge/discharge schedules EV one day ahead. Utilizing PSO algorithm, inputs implementing strategy calculated, resulting average improvement about 7% percentage (PPS) when tested MATLAB numerous case studies.