Dissertation
OPTIMAL PLANNING AND OPERATION OF DISTRIBUTION SYSTEMS WITH MASSIVE ELECTRIC VEHICLES
Washington State University
Doctor of Philosophy (PhD), Washington State University
01/2022
DOI:
https://doi.org/10.7273/000004410
Handle:
https://hdl.handle.net/2376/118842
Abstract
The concern for global warming and the development of battery technology have promoted the adoption of electric vehicles (EVs) in recent years. The increasing penetration of EVs brings both challenges and opportunities to distribution systems. In the planning stage, system operators need to consider where to build public charging stations considering both economic and technology constraints. In the operation stage, system operators can take advantage of the EVs flexibility to mitigate operational issues and participate in markets. Therefore, it is of great importance to improve distribution system planning and operation with the trend of massive EV penetration.The objectives of my research are as follows: (1) to develop tools to generate synthetic distribution test feeders; (2) to develop methods to allocate public charging stations considering hosting capacity; (3) to develop methods solving voltage violations quickly and flexibility; and (4) to develop methods to evaluate the aggregate EVs flexibility.
In this dissertation, we outline my contributions to the team effort to develop CP-SyNet, a tool to generate customizable cyber-physical synthetic distribution test feeders. CP-SyNet generates three-phase unbalanced test feeders according to users' requirements, while simultaneously considering both the cyber side and the physical side of the network for more advanced analysis.
In the system planning stage, this dissertation proposes a comprehensive planning method for allocating charging stations considering realistic distribution and transportation operations. A new concept of extra load hosting capacity (ELHC) is proposed to evaluate the maximum extra load that the system can absorb without operational violations.
In the system operation stage, this dissertation proposes a decentralized voltage control algorithm which considers the coordination of EVs and Photovoltaics (PV) inverters. The approach involves clustering of the distribution network that considers EV flexibility and prediction period and solving voltage problems in each cluster using the proposed model predictive control (MPC)-based algorithm.
To evaluate the flexibility of massive EVs, this dissertation proposes a coordinated evaluation method, where distribution system operators (DSO) first evaluate EV aggregators' operational boundaries to exploit distribution level services and transmission system operators (TSO) then determine EV charging schedules and ancillary service capacity simultaneously, considering the requirement from DSO.
Metrics
Details
- Title
- OPTIMAL PLANNING AND OPERATION OF DISTRIBUTION SYSTEMS WITH MASSIVE ELECTRIC VEHICLES
- Creators
- Lusha Wang
- Contributors
- Noel Schulz (Advisor)Anamika Dubey (Advisor)Anurag Srivastava (Committee Member)Assefaw Gebremedhin (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- School of Electrical Engineering and Computer Science
- Theses and Dissertations
- Doctor of Philosophy (PhD), Washington State University
- Publisher
- Washington State University
- Number of pages
- 169
- Identifiers
- 99900883238301842
- Language
- English
- Resource Type
- Dissertation