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A Framework for Lifetime Management and Optimization of Hybrid Renewable Energy System Based on Integrated Methodology of Design and Energy Management System (Operation). Case study: Integrated Photovoltaic/wind Turbine System

Behzadi Forough, Atefeh | 2018

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 51026 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Roshandel, Ramin
  7. Abstract:
  8. In this project, a comprehensive methodology is developed to present the lifetime management and optimization framework for hybrid renewable energy systems. The main purpose of this work is to minimize the lifetime cost and improve the system reliability based on the interaction between different optimization levels related to different steps in the system lifetime. The proposed methodology is generally presented by providing a connection between the three specified optimization levels: 1) Planning: including design and long-term optimization models which is performed before system operation, 2) Real-time operation: By employing the receding horizon optimization which is applied from the beginning of the operation to the end of the system lifetime in each time-step, and 3) modification of the design of the energy storage system based on the real operation of the renewable energy system. In the long-term optimization model, the overall operation pattern of system is determined using ageing models. Afterward, the operation limitations together with the optimal sizes of the system are applied to present the real-time operation scheduling based on achieving long-term objectives. In the real-time optimization, the real data are used which measured from the installed hybrid renewable energy system at the Energy Engineering department. Lastly, a model for the correction of the size of the energy storage system is developed to achieve the dispatchability. The achieved results prove the ability and capability of the developed framework to explain the effective connection between different optimization levels in order to improve the technical and economic performance
  9. Keywords:
  10. Design Optimization ; Dispatching ; Renewable Energy Resources ; Life Time Optimization ; Life Time Management ; Long-term Optimization ; Predictive Horizon Optimization ; Ageing Model

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