Multi-Objective Optimization of EV Charging Station Placement Using NSGA-II: Balancing Cost Efficiency and User Accessibility
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Research Focus
KONSERVASI ENERGI DAN ENERGI TERBARUKANTRANSPORTASI
Keyword
SPKLUMulti Objective OptimizationNon-dominated Sorting Genetic Algorithm II-NSGA IIElectric Vehicle (EV)
TRL Product Type:
Umum dan Hard Engineering
TRL:
5
CRL:
-

Summary

The project produces model focusing on optimizing the placement of electric vehicle (EV) charging stations using the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to address the growing demand for EV infrastructure. The current model is an enhancement of last year model aiming to simultaneously minimize total costs (including development, installation, operational, queuing, grid power loss, and travel costs) and maximize the popularity index of selected charging sites, representing user preferences. The model incorporates multiple constraints, such as site capacity, demand satisfaction, and maximum allowable distance between demand points and charging stations, to ensure feasible and efficient solutions.

The optimization process involves the creation of a multi-objective model that generates a diverse Pareto front of solutions, allowing decision-makers to evaluate trade-offs between cost-effectiveness and user accessibility. The model provide practical insights into strategic planning for EV charging infrastructure, balancing user needs, budgetary limitations, and policy requirements. This approach demonstrates the potential for improving EV adoption rates by developing a well-distributed, user-centric charging network that enhances accessibility and reduces range anxiety.

Product Impact

This EV charging station placement optimization model addresses several critical issues: 1. Insufficient Charging Infrastructure: Many areas still lack adequate EV charging facilities, causing range anxiety for EV drivers. By strategically placing charging stations where demand is highest, this model enhances accessibility for EV users, helping to eliminate charging "deserts" and supporting smoother travel routes. 2. Cost Inefficiency in Infrastructure Development: Developing EV infrastructure can be costly, especially if resources are misallocated. This product helps minimize costs by optimizing the locations of charging stations, ensuring that each dollar spent contributes to maximum coverage and user benefit. The tool considers various costs (development, operational, and travel) to prevent overspending and reduce unnecessary site placements. 3. Underutilization of Charging Stations: Without strategic placement, some charging stations may remain underutilized while others face over-demand. This model balances user distribution, ensuring that selected sites meet local demand and avoid unnecessary congestion, which ultimately enhances the user experience. 4. Environmental Impact: By optimizing charging infrastructure placement, the product supports the transition to EVs, helping reduce greenhouse gas emissions and pollution. It promotes more accessible EV charging, encouraging more users to adopt electric vehicles over traditional, fuel-based options. Communities and Industries Impacted by This Product 1. Urban and Regional Planning Authorities: This tool is invaluable to city planners and regional authorities aiming to develop EV infrastructure. It helps them make data-driven decisions that ensure equitable distribution of charging facilities, reducing reliance on fossil fuels and enhancing public transportation networks. 2. EV Infrastructure Development Companies: Companies specializing in EV charging infrastructure can use this model to optimize their deployment strategies, saving on installation and operational costs while maximizing user accessibility. The insights from this tool can guide infrastructure rollouts in new areas, enhancing network efficiency. 3. Automotive and EV Manufacturing Industry: By ensuring that charging stations are strategically placed and accessible, this product supports the growth of the EV market, as better infrastructure directly addresses range anxiety, one of the key concerns for potential EV buyers. 4. Environmental and Sustainability Organizations: This product’s influence on EV adoption aids sustainability initiatives, directly supporting organizations and policymakers who work to mitigate environmental impact through reduced emissions and pollution. 5. Real Estate and Commercial Centers: Shopping malls, office parks, and other commercial hubs benefit from optimized EV charging locations. This model helps determine the most effective placement of charging stations at these venues, attracting EV drivers and supporting green initiatives that appeal to environmentally conscious consumers. 6. General Public and EV Users: Ultimately, EV drivers are the primary beneficiaries, as this product helps provide a reliable, accessible network of charging stations. The strategic placement enhances user convenience, reduces travel time for charging, and contributes to a positive overall EV ownership experience, encouraging broader adoption.

Product Uniqueness

This product’s uniqueness lies in its multi-objective approach, detailed cost breakdown, real-world feasibility constraints, dynamic adaptability, user-centric focus, and regulatory alignment. These features combine to offer a sophisticated, flexible, and comprehensive solution that surpasses traditional models, making it a highly practical and impactful tool for modern EV infrastructure planning.
Inventor
SDG
-

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