Advanced energy studies to improve the penetration of renewable energy and electric vehicles



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This dissertation results from a combined effort to support the penetration of renewable energy into the electrical system and accelerate the shift to less pollutant electricity generation. This dissertation presents an advanced study to accelerate Renewable Energy Resources integration. Several terms should be addressed in terms of cost, technology, control, load side management, and others to enhance the integration. This work is divided into three chapters that try to address some of the challenges. In the first part, the financial/cost feasibility is discussed. Then, it intends to answer the question: Is it viable to build a city with 100% RES? If yes, how much would be the overnight cost? To respond to these questions, a city in west Texas with a 100 MW capacity has been assumed to operate with wind, solar, and Battery Energy Storage System (BESS) disconnected from the grid. Additionally, the cost of the system is compared with other commonly used sources. The second part discusses the performance/technology of one of the main renewable energy resources. An algorithm for enhancing solar generation in the shading and underperformance conditions is brought. Global searching is a method that gives the capability of finding the GMPP of PV arrays under different shading and partial shading conditions. the global search techniques are often well-developed and known. However, restarting conditions have not been fully investigated in the global search. The ones that approached this issue proposed to trigger the new GMPP search based on power variation, irradiance variation, or fixed time step. This work proposed a novel restarting condition based on an outlier statistical analysis. The PV plant electrical measurements are centralized in the plant’s central controller, where the algorithm is computed over the operation day. This work has different contributions such as Evaluation and discussion of the current techniques used for restart conditions of GMPPT, explanation of the necessity of a more efficient and assertive GMPP search restarting condition, propose a novel algorithm based on statistical analysis to detect shading arrays and create flags to restart their GMPP search. Additionally, it provides an efficient and assertive restarting condition solution that can be easily deployed on real PV plants and evaluate the proposed algorithm performance in locating the shading condition with real data from a 150-kW PV plant. In the third part, the load controllability/management with the use of Electric Vehicles (EV) to support the penetration of renewable energy is discussed. Here, the Vehicle to Grid (V2G) technology is used to support the system's operation. Furthermore, a control using virtual inertia is proposed to be applied to electric vehicles to support the microgrid operation with RES. The implemented control system overcomes challenging situations such as load changing and transient conditions by managing the power of the battery and PV and regulating the voltage and frequency in the islanded mode. Moreover, the EV provides reactive power support to the microgrid operation.

Embargo status: Restricted until 06/2172. To request the author grant access, click on the PDF link to the left.



Renewable Energy Resources, Electric Vehicles, Wind, Solar, PV, Battery Energy Storage, BESS, Advanced Control.