在可再生综合系统中安置燃料电池和 UPFC 以降低风险并实现社会福利最大化

IF 2.6 4区 工程技术 Q3 ENERGY & FUELS Frontiers in Energy Research Pub Date : 2024-08-29 DOI:10.3389/fenrg.2024.1428458
Subhojit Dawn, Shreya Shree Das, M. Ramesh, G. Seshadri, Sai Ram Inkollu, Thandava Krishna Sai Pandraju, Umit Cali, Taha Selim Ustun
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引用次数: 0

摘要

传统能源的枯竭导致全球各地对可再生能源的兴趣与日俱增。可再生能源的使用降低了电力市场的经济风险。本研究提出了一种利用太阳能光伏作为可再生能源、燃料电池作为储能系统以及柔性交流输电网络(FACTS)的方法,以降低放松管制网络中的系统风险。实际可再生能源数据与预期可再生能源数据之间的差异是造成可再生能源集成系统不平衡定价(DP)的主要原因。将 FC 与统一功率流控制器(UPFC)集成在一起可在应对不平衡定价方面发挥重要作用,强调在放松管制的环境中优化盈利能力和社会福利。本文还评估了系统电压大纲和 LBMP(基于位置的边际定价)方案,包括集成和不集成太阳能发电。本文提出了两个不同的因素,即总线敏感性指数 (BSI) 和线路拥塞系数 (LCF),以确定系统中安装太阳能发电和统一功率流控制器的关键总线和线路。研究还采用了条件风险值(CVaR)和风险值(VaR)来评估系统风险。利用实时 IEEE 39 总线新英格兰系统,采用包括序列二次编程和粘液模算法 (SMA) 在内的多种优化算法来估算所考虑系统的财务风险。分析表明,随着 UPFC 和燃料电池在可再生集成系统中的应用,风险系数值会有所提高。
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Risk alleviation and social welfare maximization by the placement of fuel cell and UPFC in a renewable integrated system
The depletion of conventional energy sources has led to an increase in interest in renewable energy across the globe. The usage of renewable energy has lowered economic risk in the electricity markets. This study presents an approach to utilize solar photovoltaic as a renewable energy source, fuel cells as the energy storage system, and Flexible AC Transmission networks (FACTS) to reduce system risk in deregulated networks. The difference between real and expected renewable energy data is the primary cause of disequilibrium pricing (DP) in the renewable energy-integrated system. Integration of the FCs with a Unified Power Flow Controller (UPFC) can play an important role in coping with the disequilibrium pricing, emphasizing optimizing profitability and societal welfare in a deregulated environment. The paper also evaluates the system voltage outline and LBMP (location-based marginal pricing) scenarios, both with and without the integration of solar power. Two distinct factors, i.e., Bus Sensitivity Index (BSI) and Line Congestion Factor (LCF), have been proposed to identify the key buses and lines for solar power and Unified Power Flow Controller installation in the system. The study also employs conditional-value-at-risk (CVaR) and value-at-risk (VaR) to assess the system’s risk. Using a real-time IEEE 39-bus New England system, multiple optimization algorithms including Sequential Quadratic Programming and the Slime Mould Algorithm (SMA) are employed to estimate the financial risk of the considered system. This analysis demonstrates that the risk coefficient values improve with the placement of UPFC and fuel cells in the renewable incorporated system.
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来源期刊
Frontiers in Energy Research
Frontiers in Energy Research Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
3.90
自引率
11.80%
发文量
1727
审稿时长
12 weeks
期刊介绍: Frontiers in Energy Research makes use of the unique Frontiers platform for open-access publishing and research networking for scientists, which provides an equal opportunity to seek, share and create knowledge. The mission of Frontiers is to place publishing back in the hands of working scientists and to promote an interactive, fair, and efficient review process. Articles are peer-reviewed according to the Frontiers review guidelines, which evaluate manuscripts on objective editorial criteria
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