Energy storage system planning and software GUI development

Nowadays, With the increasingly severe global energy crisis, new energy power generation technologies have flourished. However, the instability of photovoltaics and the problems that will affect the power quality when connected to the grid are the primary goals that need to be solved urgently. The u...

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Bibliographic Details
Main Author: Zhang, Xizhuo
Other Authors: Xu Yan
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/173629
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Institution: Nanyang Technological University
Language: English
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Summary:Nowadays, With the increasingly severe global energy crisis, new energy power generation technologies have flourished. However, the instability of photovoltaics and the problems that will affect the power quality when connected to the grid are the primary goals that need to be solved urgently. The use of energy storage systems can solve the problems caused by photovoltaic power generation very well, but Introducing energy storage systems will lead to increased investment costs, so it is very important to consider the actual needs and plan the capacity and location of the energy storage system key factor. This paper first introduces the classification of energy storage systems and the characteristics of different energy storage systems. It determines that the battery energy storage system will be used in this report. Then, based on practical considerations, a mathematical model is established for the whole system. First of all, corresponding constraints are established for the photovoltaic system, battery energy storage system (BESS), and distribution network system, and the objective function is established considering the actual situation of photovoltaic enterprise profits, which is essentially a mixed-integer linear programming question. Finally, the model was applied to a practical 8-node power distribution network, using the toolbox Yalmip in MATLAB and the commercial solver Gurobi to solve it and display the calculation results on the designed GUI interface, demonstrating the efficacy of optimal planning strategies for energy storage to maximize advantages.