Portfolio optimization of distributed energy resources and techno-economic optimization analysis of energy storage to address capacity issues and support higher renewable energy levels on the electrical grid
Abstract/Contents
- Abstract
- Distributed energy resources (DER) have significant potential to defer the need for electrical infrastructure upgrades and are also useful for solving issues related to high penetrations of renewable generating resources. In this defense, two projects will be discussed. The first is a novel modeling framework for portfolio optimization of DER to solve problems on the electrical distribution network, dubbed "Hot Spots." The model optimizes over four different resources - distributed solar, energy storage, energy efficiency, and demand response - seeking a minimum cost portfolio that meets the desired outcomes input by a utility planner. Because the mathematical framework treats these outcomes as constraints in the model, multiple objectives can be achieved simultaneously. Common objectives include system peak shaving, load shaping and smoothing, and use of local energy production, among others. Case study results indicate that load reductions through DER can be achieved at a lower cost than an infrastructure capacity upgrade. Further, limiting the system ramp rate can be achieved with little additional cost beyond that of addressing the system's capacity constraint. The model shows the beneficial use of DER to address both distribution system capacity issues and shape load simultaneously. The second project is an analysis of how independent energy storage technology providers optimize equipment sizing and dispatch to generate bid prices for a resource adequacy contract. Contracts like these are a common way to procure energy storage for capacity planning purposes. With the goal of combating the "duck curve, " the storage system acts as an evening "peaker" plant and is expected to absorb excess solar energy that might be otherwise curtailed. Results indicate that utility solicitations for discharged-based storage products should consider the role of charging, round-trip efficiency, and emission impacts beyond the bid price. It is possible for inefficient storage systems to outbid efficient technologies and thus diminish emission reductions, even when carbon prices are considered. Further, lack of charging constraints might result in storage operations that limit the value of the storage in enabling more renewable energy deployment.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Yeskoo, Timothy Wolf |
|---|---|
| Degree supervisor | Jacobson, Mark Z. (Mark Zachary) |
| Thesis advisor | Jacobson, Mark Z. (Mark Zachary) |
| Thesis advisor | Brandt, Adam (Adam R.) |
| Thesis advisor | Gragg, Diana |
| Degree committee member | Brandt, Adam (Adam R.) |
| Degree committee member | Gragg, Diana |
| Associated with | Stanford University, Civil & Environmental Engineering Department |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Timothy Wolf Yeskoo. |
|---|---|
| Note | Submitted to the Civil & Environmental Engineering Department. |
| Thesis | Thesis Ph.D. Stanford University 2020. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Timothy Wolf Yeskoo
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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