Optimization and Feasibility Analysis of Hybrid Distributed Generator Based System With a Comparison of Battery and Hydrogen Energy Storage for Residential Electrification

Energy Storage Pub Date : 2024-10-31 DOI:10.1002/est2.70075
Kalidas Pillai, Sivasankari Sundaram
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Abstract

Indeed, as India progresses towards its mission on green hydrogen production and the adoption of alternative fuels, the development of stand-alone systems supporting the integration of hydrogen energy becomes imperative. Optimal sizing of standalone hybrid systems presents a significant challenge to meet power reliability, technical and economic viability. The present study explores the topology of hybrid energy storage systems in the stand-alone scenario and assesses its technical and economic feasibility through an optimization approach. The objective is to size the components of the standalone system which includes PV generator, wind generator, hydrogen energy storage unit, battery storage unit (BES), electrolyzer and fuel cell rendering low value of loss of power supply probability (LPSP). Also, finest-fitting storage system for the Solar-wind Hybrid Stand-Alone Microgrid (HSAM) is identified. Modeling, simulation, and optimization of the HSAM are carried out using HOMER PRO. A load of 20.46 kWp and average yearly energy consumption of 165.44 kWh/day was considered for the technical and economic feasibility-based evaluation. Scaled annual average values of input metalogical data such as wind speed, temperature and solar irradiance is considered as sensitivity cases. Based on the simulation results, it can be observed that the proposed HSAM system with HyESS exhibits the lowest values for NPV, O&M Cost, and LCOE compared to other system configurations. From sensitivity analysis it is observed that with variation of resource based inputs like irradiance, wind speed and temperature, there is a fluctuation of nearly 10% in the NPV and LCOE of the HSAM system. The LCOE for this system is estimated to be $0.289/kWh, while the NPV is projected to be $274 470. The Internal Rate of Return (IRR) for the 25-year project is calculated to be 6.1%, indicating a favorable return on investment. Additionally, the Simple Payback Period is determined to be 8.7 years. Furthermore, validation of the optimal LPSP through HOMER is achieved through creation of an objective function employing a non-linear least square approach. The proposed HyESS outperforms the standard BES with an LPSP of 3.1 × 10−6 over 4.3 × 10−4. The suggested system achieves a high level of dependability through LPSP values that are significantly closer to zero, ensuring a reliable operation.

基于混合分布式发电机的系统优化和可行性分析,以及电池和氢能储存在住宅电气化中的比较
事实上,随着印度在绿色制氢和采用替代燃料方面取得进展,开发支持氢能集成的独立系统已势在必行。独立混合动力系统的优化选型对满足电力可靠性、技术和经济可行性提出了巨大挑战。本研究探讨了独立情景下混合储能系统的拓扑结构,并通过优化方法评估了其技术和经济可行性。目标是确定独立系统组件的大小,包括光伏发电机、风力发电机、氢储能装置、电池储能装置(BES)、电解槽和燃料电池,从而降低供电损失概率(LPSP)。此外,还确定了最适合太阳能-风能混合独立微电网(HSAM)的储能系统。使用 HOMER PRO 对 HSAM 进行了建模、仿真和优化。在技术和经济可行性评估中,考虑了 20.46 kWp 的负载和 165.44 kWh/day 的年平均能耗。输入的风速、温度和太阳辐照度等金属数据的年平均值被视为敏感情况。根据模拟结果可以看出,与其他系统配置相比,采用 HyESS 的拟议 HSAM 系统的净现值、运营和管理成本以及 LCOE 值最低。从敏感性分析中可以看出,随着辐照度、风速和温度等资源输入的变化,HSAM 系统的净现值和 LCOE 波动接近 10%。该系统的 LCOE 预计为 0.289 美元/千瓦时,而净现值预计为 274 470 美元。经计算,该项目 25 年的内部收益率 (IRR) 为 6.1%,表明投资回报率较高。此外,简单投资回收期确定为 8.7 年。此外,通过采用非线性最小二乘法创建目标函数,通过 HOMER 验证了最佳 LPSP。建议的 HyESS 性能优于标准 BES,其 LPSP 为 3.1 × 10-6 而不是 4.3 × 10-4。建议的系统通过大大接近零的 LPSP 值实现了高可靠性,确保了系统的可靠运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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