Application of fuzzy multiple goal programming on the selection for power plants considering site and environmental constraints

Abstract

A linear programming model with fuzzy multiple goals is presented herein from a cost-effective view to assess the impacts of environmental regulations to restrict carbon emissions on a generation plant. The model contains factors relevant to existing coal power plant scenarios, including clean coal technologies, fuel characteristics, technical alternatives, capital and operation costs, economic and regulatory environment, pipeline issues, and their bounded rationality. Moreover, to achieve the objective of cost minimization, whilst complying with the environmental regulation of carbon emission control in total scale from a long-term perspective, the model explores fuzzy multiple goals based on a power plant scheme. The proposed model was examined via implementations on a real power plant with varying characteristics through fuzzy analysis. Various designed scenarios are analyzed to reveal the option transactions in electricity generation alternatives with pipeline and distance schemes. The results obtained herein provide utility planners with further insight into the systematic analysis and potentials for the cost effectiveness in realistic applications.

Keywords:

• Bounded rationality
• fuzzy analysis
• option transactions
• electricity generation