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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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Planning stand-alone electricity generation systems, a multiple objective optimization and fuzzy decision making

J D Rivera-Niquepa^1,2, P M De Oliveira-De Jesus², J C Castro-Galeano¹

¹Electromechanical Engineering Department, Universidad Pedagógica y Tecnológica de Colombia, Colombia.

|March 18, 2020

Summary

This study introduces a new fuzzy optimization method for planning off-grid electricity systems, considering cost, environment, and social impacts. The approach enhances decision-making by integrating technical, economic, environmental, and social factors for better energy solutions.

Keywords:

Energy Energy economics Energy storage technology Energy sustainability Fuzzy satisfaction method Local wealth creation Multiple objective Power generation Renewable energy Renewable energy resources Stand alone generation system

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Area of Science:

Energy Systems Engineering
Optimization Theory
Environmental Science

Background:

Stand-alone electricity generation systems are crucial for off-grid electrification.
Traditional planning methods often overlook the multifaceted impacts of these systems.
Integrating economic, environmental, and social factors is essential for sustainable energy solutions.

Purpose of the Study:

To develop a fuzzy-multiple objective optimization methodology for planning stand-alone electricity generation systems.
To incorporate technical, economic, environmental, and social impacts into the decision-making process.
To evaluate system reliability over the project lifetime.

Main Methods:

A fuzzy-multiple objective optimization methodology was employed.
The fuzzy satisfaction method (FSM) was utilized to account for four key performance indexes (KPIs): technical, economic, environmental, and social.
System reliability was assessed for each Pareto set solution.

Main Results:

The fuzzy satisfaction method successfully integrated four key performance indexes.
Societal impact, specifically local wealth creation, was included in the FSM for the first time.
A Colombian case study demonstrated the methodology's effectiveness.

Conclusions:

Simultaneous consideration of technical, economic, environmental, and social objectives is vital for evaluating off-grid energy solutions.
The proposed methodology offers a novel approach to decision-making in energy system planning.
The inclusion of societal impact enhances the comprehensiveness of energy system evaluations.