Sep 2026· International Journal of Applied Power Engineering (IJAPE)· 0 citations· 24 references
Abstract
This paper presents a comparative study between hybrid particle swarm optimization (PSO) and genetic algorithm (GA) for energy management in residential microgrids equipped with photovoltaic generation, stationary battery storage, and bidirectional electric vehicles (V2G). The system comprises 40 apartments, 1000 m² solar panels, 1 MWh battery storage, and 15 electric vehicles with V2G capability. A multi-objective optimization framework minimizes daily operational costs while satisfying mobility requirements, state-of-charge constraints, and battery aging considerations. Simulation results demonstrate that hybrid PSO significantly outperforms GA, achieving a net daily profit of 279 C (compared to 100 C cost for GA) through strategic energy arbitrage and massive grid sales (2232 kWh/day vs 3.7 kWh/day for GA). The PSO-based approach achieves 28% energy autonomy while generating substantial revenue from feed-in tariffs. The methodology provides a scalable framework for real-world V2G-integrated microgrids, with ongoing experimental validation at the ESTACA V2G testbed.
The prompt adoption of Electric Vehicles (EVs) offers substantial challenges to modern power distribution systems, incorporating enlarged power demand, voltage variability, and elevated energy losses. To solve such problems, this paper proposes an integrated optimization scheme for the simultaneous allocation of EV Cha...
A. I. Omar, Mahmoud M. Elbaz, Mahmoud N. Ali et al.· Scientific Reports· 0 citations
The increasing electricity demand associated with agricultural irrigation has created a need for energy-efficient and economically viable renewable energy systems. This paper presents a techno-economic optimization framework for a solar-powered agricultural microgrid intended to supply irrigation pump loads. The propos...
P. Phad, J. Helonde, P. Burade· International journal of com...· 0 citations
The inherent intermittency of renewable energy sources and the mismatch between generation and community load demand pose significant challenges to the reliability of microgrids. To address these issues, this paper proposes a robust multi-objective optimization framework for the capacity sizing of a Hybrid Renewable En...
Pu-Zhuang Liu, Nor Azwan Bin Mohamed Kamari· IOP Conference Series: Earth...· 0 citations
This paper presents an energy management strategy for coordinating the active and reactive power of battery energy storage systems (BESSs) in active distribution networks. The model minimizes energy-purchase, maintenance, and degradation costs while considering efficiencies, self-discharge, converter limits, and cyclin...
L. Grisales-Noreña, V. M. Garrido Arevalo, O. Montoya· 2026 IEEE Colombian Conferen...· 0 citations
The decarbonization of isolated island power systems is hindered by dependence on diesel generation, limited operational flexibility, and pronounced seasonal demand variability. Lampedusa constitutes a representative Mediterranean case study, characterized by an isolated diesel-based power system with limited renewable...
Pietro Arduino, F. Provenzano, Bruno Provenza et al.· Energies· 0 citations
Ensuring the reliability and stability of standalone microgrids (MGs) is fundamental to the effective integration of renewable energy sources, which are inherently uncertain. This work presents a stochastic optimization model using mixed-integer linear programming (MILP) to determine the optimal operation of electric v...
B. Sherkhane, S. Chavan, Aishwrya A. Apte· Future Energy· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
