| Summary: | 碩士 === 國立成功大學 === 電機工程學系 === 106 === This thesis is aimed at realizing the maximum profits of parking lot owners and the minimum cost of EV users at the same time. The background is to install EV charging stations in a parking lot with limited power resources to optimize the overall schedule of EVs and participate in the market mechanism for supporting services. In addition, this thesis also considers the loss of battery degradation due to participating in the ancillary market and adds this cost to the objectives function. The decentralized differential evolution (DE) algorithm for optimal scheduling is applied in the commercial parking lot with the user's probabilistic behavior models simulated. In the simulation results, the relevance of electricity price information and ramping ancillary service market participation are compared and analyzed. The impact of user behavior on individual costs are discussed as well.
Key words: decentralized architecture, optimal scheduling of charging and discharging, electric vehicle (EV), flexible ramping market (FRM), battery degradation
|
|---|
