Optimal Energy Management of Non-Conventional Units for Spinning Reserve and Regulation – Case Study on C-Zone Micro-Grid in SGESC

  • 粘 善

Student thesis: Doctoral Thesis

Abstract

In order to mitigate the global warming and environmental changes countries around the world have developed green energy industries to replace the traditional energy sources Smart grid and green energy policy have become a global trend nowadays and it has also drive the development of related industries such as energy storage and electric vehicles The micro-grid is gradually becoming popular because it’s hard to obtain the site for constructing a centralized power plant and the novel energy resources have decentralized characteristics Integrating multiple distributed energy resources effectively will be a key technology in future This thesis develops an optimal scheduling model and real-time energy management strategy to integrate the distributed energy resources and loads based on actual micro-grid architecture of the C-zone in SGESC Through effectively operating vanadium redox battery energy storage system (VRBESS) and electric vehicles (EV) maximize the overall profit for micro-grid The optimal scheduling model including many factors such as time-of-use (TOU) electric vehicle charging station (EVCS) operation mode and ancillary services market In this thesis the improved particle swarm optimization is applied to trade off the costs and profits contained in micro-grid to achieve optimal scheduling and operation Moreover the proposed energy management strategy is used to handle the real time events in this system including EV charging demand excessive forecast error and real time energy regulation demand The simulation results show that the proposed energy management system (EMS) can deal with different TOU tariff schemes and contracted capacity and also increase the profit in the context of participating in ancillary services The numerical results reveal that it can bring up to 12 5% electricity bill reduction for micro-grid under certain conditions
Date of Award2020
Original languageEnglish
SupervisorHong-Tzer Yang (Supervisor)

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