Thesis
Towards feed-in-tariff policy design considering multiple objectives and incomplete preferences
Washington State University
Master of Science (MS), Washington State University
2012
Handle:
https://hdl.handle.net/2376/103212
Abstract
The focus of this thesis is on policy design problems related to large scale complex systems such as the decentralized energy infrastructure. In such systems, the policy affects the technical decisions made by stakeholders (e.g., energy producers), and the stakeholder decisions are coordinated by market mechanisms. The decentralized decisions of the stakeholders affect the sustainability of the overall system. Hence, appropriate design of policies is an important aspect of achieving sustainability. The state-of-the-art computational approach to policy design problem is to model decisions as a two level problem (bilevel program), specifically by using mathematical programs with equilibrium constraints. However, this approach is limited to single-objective policy design problems and is based on the assumption that the policy designer has complete information of the stakeholders’ preferences. In this thesis, we take a step towards addressing these two limitations. The approach is based on the integration of multi-objective mathematical programs with equilibrium constraints with games with vector payoffs, and Nash equilibria of games with incomplete preferences. We illustrate the approach using a simple example from the design of feed-in-tariff (FIT) policy with two stakeholders. The contributions of this thesis include a mathematical formulation of the FIT policy, the extension of computational policy design problems to multiple objectives, and the consideration of incomplete preferences of stakeholders.
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Details
- Title
- Towards feed-in-tariff policy design considering multiple objectives and incomplete preferences
- Creators
- Bryant Daniel Hawthorne
- Contributors
- Jitesh H. Panchal (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Mechanical and Materials Engineering, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; Pullman, Wash. :
- Identifiers
- 99900525090601842
- Language
- English
- Resource Type
- Thesis