Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.784875
Title: Maximum power point tracking and power reserve control for photovoltaic system
Author: Li, X.
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2019
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Abstract:
As global energy consumption is gradually increasing, a problem facing us is the environmental issues caused by the increasing energy demand. In order to overcome this problem, photovoltaic (PV) energy has been widely used in many countries around the world. Since the power generated by the PV systems mainly depends on the weather conditions, how to effectively obtain the maximum possible power from the PV system under various conditions is still a main problem. Furthermore, PV systems are also required to provide ancillary service as grid regulations and network codes have been also continuously revised. Therefore, the PV technology issues associated with the operating efficiency and system reliability improvement are still the ultimate goal to meet the rising energy demand. In this thesis, the PV-side control, such as maximum power point tracking (MPPT), global maximum power point tracking (GMPPT) and power reserve control (PRC), are studied. The MPPT and GMPPT based on modified Beta methods are proposed to overcome the technology issues involved with fast-changing weather conditions and PV mismatching condition, respectively. The MPPT dynamic and steady-state efficiency are firstly improved by Beta methods. Then, a PV string equivalent model is proposed to allow Beta methods to work under PV mismatching condition. Both of the simulation and experimental results are validated the effectiveness of the proposed Beta methods. Furthermore, a novel PRC method is also proposed to provide the ancillary service. With the simple real-time MPP estimation, the proposed PRC method exhibits fast speed and high robustness to estimate the MPP, and good compatibility with existing PV systems. The effectiveness of the proposed PRC method is also validated by simulation and experimental results.
Supervisor: Wen, Huiqing ; Jiang, Lin Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.784875  DOI:
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