Novel PSO-GA complex nonlinear optimizatıon of hybrid renewable energy systems: PV-wind-PTC integratıon with energy storage systems

Date

2024-6-26

Author

Medghalchi, Zahra

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Over recent years, there has been a notable surge in the adoption of renewable energy sources, driven by mounting concerns surrounding climate change and the finite nature of fossil fuel resources. In this study, the photovoltaic (PV) system is examined in integration with various Energy Storage Systems (ESS), including batteries and fuel cells. Additionally, it is assessed in hybrid systems that incorporate wind turbines and parabolic trough collector (PTC) systems (integrated with Thermal Energy Storage (TES) and Organic Rankine Cycle (ORC)) for electricity production. The primary objective is to minimize the weighted average cost of energy (waCOE) while ensuring a specific renewable energy fraction (𝐹 𝑅𝐸𝑆 ). To achieve this, a novel hybrid optimization system utilizing Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) is employed to optimize the capacities of all system components, including the PV panels, wind turbine, battery, electrolyzer, hydrogen tank, fuel cell, trough collector, TES, turbine, evaporator, heat exchangers, condenser, and pump. Additionally, this work optimizes the flow rates vi of the heat transfer fluid and working fluid under realistic operating conditions, considering the fluctuating efficiency of the ORC and the impact of partial load on turbine efficiency, thus presenting a complex and nonlinear optimization problem. Eight scenarios representing different integrated systems are investigated and compared both technically and economically. A case study is conducted on a university campus located on a Mediterranean island, which relies on imported fossil fuel for electricity production. The findings reveal that a PV-PTC-ORC-TES hybrid system comprising a 1414××3838 Trough collector, a 11..7676 𝑀𝑊𝑀𝑊 PV, a 121121..5353 𝑘𝑊𝑘𝑊ℎℎ heat storage, and an 774774..6565 𝑘𝑊𝑘𝑊 ORC has the lowest waCOE at 00..23782378 €€//𝑘𝑊𝑘𝑊ℎℎ. This system achieves a demand-supply fraction (DSF) of 5757..18%18% with an 𝐹𝐹𝑅𝐸𝑆𝑅𝐸𝑆 of 8282..00%00%. The study concludes that a hybrid system incorporating PV and PTC/ORC is highly effective in the examined region due to the abundant solar energy available.

Subject Keywords

Parabolic Trough Collector, Organic Rankine Cycle, Hybrid PV & Wind Systems, Hybrid PSO & GA Optimization, Battery & Electrolyzer-Fuel Cell

URI

https://hdl.handle.net/11511/110468

Collections

Graduate School of Natural and Applied Sciences, Thesis