Article: Ideal planning of power grid integrating various small-scale power generating with biogeography-based optimisation Journal: International Journal of Critical Infrastructures (IJCIS) 2025 Vol.21 No.4 pp.385 - 412 Abstract: Gasoline cars are being replaced by electric vehicles (EVs), which add to the strain on the power grid due to their charging needs. Uncontrolled EVs can disrupt the grid; therefore, reliable planning is necessary. Increased distributed generation (DG) resources, especially renewable energy, may disrupt the electrical system. Effective mitigation requires demand-side planning and wise utilisation of emerging technologies, including energy storage. This study recommends optimising EV and DG charging and discharging schedules to fulfil regulated planning needs. Power company schedules depend on parking lot traffic to meet grid goals. The primary objectives are to maximise vehicle holders' and companies' earnings, minimise losses, and reduce parking lot travel time. Investigating critical load sensitivity improves charge and discharge control. The proposed approach utilises a hybrid biogeographic harmony search (BHS). BHS models island species movement, speciation, and extinction using biogeographical mathematics. A sample test system illustrates the method and concept in various settings. Optimal distribution resource management increases network profitability by 8.4% and dependability by 6.63% in outage indices. This holistic strategy highlights flexible models facing greater EV integration and DG resource usage, with numerical figures demonstrating over an 8% network performance gain. Inderscience Publishers - linking academia, business and industry through research

Title: Ideal planning of power grid integrating various small-scale power generating with biogeography-based optimisation

Authors: Jianying Guo

Addresses: Department of Mechanical and Electronic Engineering, Xinzhou Vocational and Technical College, Xinzhou, China

Abstract: Gasoline cars are being replaced by electric vehicles (EVs), which add to the strain on the power grid due to their charging needs. Uncontrolled EVs can disrupt the grid; therefore, reliable planning is necessary. Increased distributed generation (DG) resources, especially renewable energy, may disrupt the electrical system. Effective mitigation requires demand-side planning and wise utilisation of emerging technologies, including energy storage. This study recommends optimising EV and DG charging and discharging schedules to fulfil regulated planning needs. Power company schedules depend on parking lot traffic to meet grid goals. The primary objectives are to maximise vehicle holders' and companies' earnings, minimise losses, and reduce parking lot travel time. Investigating critical load sensitivity improves charge and discharge control. The proposed approach utilises a hybrid biogeographic harmony search (BHS). BHS models island species movement, speciation, and extinction using biogeographical mathematics. A sample test system illustrates the method and concept in various settings. Optimal distribution resource management increases network profitability by 8.4% and dependability by 6.63% in outage indices. This holistic strategy highlights flexible models facing greater EV integration and DG resource usage, with numerical figures demonstrating over an 8% network performance gain.

Keywords: electric vehicles; parking zone; renewable energy sources; distributed generation; DG; harmony search algorithm; HS; biogeography-based optimisation algorithm; BBO.

DOI: 10.1504/IJCIS.2025.148327

International Journal of Critical Infrastructures, 2025 Vol.21 No.4, pp.385 - 412

Received: 30 Nov 2023
Accepted: 22 Mar 2024
Published online: 02 Sep 2025 *

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Title: Ideal planning of power grid integrating various small-scale power generating with biogeography-based optimisation

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