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Multi-criteria PSO-based optimal design of grid-connected hybrid renewable energy systems
International Journal of Green Energy ( IF 3.3 ) Pub Date : 2020-07-14 , DOI: 10.1080/15435075.2020.1779072
Fariborz Mansouri Kouhestani 1 , James Byrne 1 , Daniel Johnson 1 , Locke Spencer 2 , Bryson Brown 3 , Paul Hazendonk 4 , Jeremy Scott 2
Affiliation  

Human-induced climate change through the over liberation of greenhouse gases, resulting in devastating consequences to the environment, is a concern of considerable global significance which has fuelled the diversification to alternative renewable energy sources. The unpredictable nature of renewable resources is an impediment to developing renewable projects. More reliable, effective, and economically feasible renewable energy systems can be established by consolidating various renewable energy sources such as wind and solar into a hybrid system using batteries or back-up units like conventional energy generators or grids. The precise design of these systems is a critical step toward their effective deployment. An optimal sizing strategy was developed based on a heuristic particle swarm optimization (PSO) technique to determine the optimum number and configuration of PV panels, wind turbines, and battery units by minimizing the total system life-cycle cost while maximizing the reliability of the hybrid renewable energy system (HRES) in matching the electricity supply and demand. In addition, by constraining the amount of conventional electricity purchased from the grid, environmental concerns were also considered in the presented method. Various systems with different reliabilities and potential of reducing consumer’s CO2 emissions were designed and the behavior of the proposed method was comprehensively investigated. An HRES may reduce the annualized cost of energy and carbon footprint significantly.



中文翻译:

基于多标准PSO的并网混合可再生能源系统的优化设计

由于温室气体的过度释放而导致的人为气候变化,对环境造成了毁灭性后果,这是全球具有重大意义的关切,这推动了替代可再生能源的多样化。可再生资源的不可预测性阻碍了可再生能源项目的发展。通过使用电池或备用单元(如常规能源发电机或电网)将各种风能和太阳能等可再生能源整合到混合系统中,可以建立更可靠,有效和经济上可行的可再生能源系统。这些系统的精确设计是有效部署它们的关键一步。基于启发式粒子群优化(PSO)技术开发了一种最佳尺寸确定策略,通过最小化系统的总生命周期成本,同时最大程度地提高混合动力车的可靠性,来确定光伏电池板,风力涡轮机和电池组的最佳数量和配置可再生能源系统(HRES)匹配电力供需。另外,通过限制从电网购买的常规电力的量,在提出的方法中还考虑了环境问题。具有不同可靠性和降低消费者二氧化碳排放潜力的各种系统 另外,通过限制从电网购买的常规电力的量,在提出的方法中还考虑了环境问题。具有不同可靠性和降低消费者二氧化碳排放潜力的各种系统 另外,通过限制从电网购买的常规电力的量,在提出的方法中还考虑了环境问题。具有不同可靠性和降低消费者二氧化碳排放潜力的各种系统设计了2种排放物,并对所提出方法的行为进行了全面研究。HRES可以显着降低能源和碳足迹的年度成本。

更新日期:2020-08-23
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