A Multi-objective Optimization Approach for Photovoltaic and Battery Sizing in an Off-Grid Power System

Wei, Fanhao; Yang, Guoming; Yang, Dazhi

doi:10.1109/segre58867.2023.00065

2023 International Conference on Smart Electrical Grid and Renewable Energy (SEGRE) 2023

DOI: 10.1109/segre58867.2023.00065

|View full text |Cite

A Multi-objective Optimization Approach for Photovoltaic and Battery Sizing in an Off-Grid Power System

Fanhao Wei,

Guoming Yang,

Dazhi Yang

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Multi-Objective Optimization for Pareto Frontier Sensitivity Analysis in Power Systems

Giannelos,

Zhang,

Zhang

et al. 2024

Sustainability

View full text Add to dashboard Cite

The Pareto frontier, a concept rooted in economics and multi-objective optimization, represents the interplay between two objectives. In the context of power systems, it is often the case that different objectives have to be considered at the same time, such as the minimization of the operational cost and the minimization of greenhouse gas emissions. However, whether both objectives are achievable or not largely depends on the specific technoeconomic characteristics of the generation units involved. In this context, the current paper presents the Pareto frontier for different combinations of technoeconomic characteristics of generation units, and different types of functions for the operational cost and CO2 emissions, as well as various technologies, including Combined Heat and Power, heat-only and thermal power stations. The analysis reveals a range of shapes for the resulting Pareto frontier and underlines the critical patterns and dependencies within the energy system’s operational framework, highlighting the complex interplay between environmental impact and economic feasibility.

show abstract

Multi-Objective Optimization for Pareto Frontier Sensitivity Analysis in Power Systems

Giannelos,

Zhang,

Zhang

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A Multi-objective Optimization Approach for Photovoltaic and Battery Sizing in an Off-Grid Power System

Cited by 1 publication

References 11 publications

Multi-Objective Optimization for Pareto Frontier Sensitivity Analysis in Power Systems

Multi-Objective Optimization for Pareto Frontier Sensitivity Analysis in Power Systems

Contact Info

Product

Resources

About