In the dynamic world of power systems, the integration of distributed energy resources (DERs) into distribution systems (DS) is no longer a futuristic dream but a pressing necessity. As the demand for electricity surges and technical and environmental challenges mount, the power sector is under immense pressure to optimize the allocation of DERs. Enter Rinchen Zangmo, a researcher from the School of Electronics & Electrical Engineering at Lovely Professional University, who has developed a groundbreaking approach to tackle these issues head-on.
Zangmo’s research, published in Scientific Reports, introduces the Multi-Objective Evolution of the Whale Optimisation Algorithm (MEWOA), an innovative optimisation method inspired by the hunting strategies of humpback whales. This algorithm is designed to address the complex challenges of integrating DERs into distribution systems, focusing on key factors such as voltage variation, power loss reduction, and operational cost.
“MEWOA has shown promising results in solving challenging optimisation issues,” Zangmo explains. “By optimising the location and sizing of DERs, we can significantly enhance the voltage profile, lessen power loss, and lower annual operating expenses.”
The implications of this research are vast and far-reaching. For energy providers, the ability to optimise DER integration means improved power quality, enhanced stability, and increased reliability. This translates to significant cost savings and revenue generation from reduced power loss. “The results demonstrate that MEWOA outperforms other optimisation techniques like the Grasshopper Optimisation Algorithm (GOA), the Dragonfly Algorithm (DA), and the Whale Optimisation Algorithm (WOA) in terms of convergence speed and solution quality,” Zangmo notes.
The commercial impact of this research is profound. Energy companies can leverage MEWOA to create more efficient and cost-effective distribution systems, ultimately benefiting consumers with more reliable and affordable electricity. The environmental benefits are equally compelling, as optimised DER integration can reduce the carbon footprint of power generation.
As the energy sector continues to evolve, Zangmo’s work sets a new benchmark for optimisation techniques in power systems. The successful implementation of MEWOA could revolutionise how DERs are integrated, paving the way for a more sustainable and efficient energy future. The research, published in Scientific Reports, underscores the potential of bio-inspired algorithms in solving complex energy challenges, offering a glimpse into the future of power system optimisation.
