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不同气候区考虑燃气与电力公用事业的可再生能源及电池储能系统的经济技术分析与优化
Techno-economic analysis and optimization of renewable sources and battery energy storage system across diverse climatic zones considering gas and electrical utilities
语言:
中文摘要
摘要 可再生能源由于排放较低、具有可持续性和经济性,被认为是一种环境友好的能源。本研究聚焦于在巴基斯坦不同气候区的住宅部门实施本地化的可再生能源发电系统。该研究开展了技术经济性、环境影响、鲁棒性以及成本方面的综合分析。通过技术经济优化,旨在最小化微电网系统的净现值成本(NPC)和平均化度电成本(COE),同时最大化住宅部门微电网的可再生能源占比(RF)。中部和北部地区具备良好的太阳辐照资源,因此最优的微电网(MG)配置为光伏(PV)-电池储能系统(BESS)结合柴油发电机(DG)。而南部地区风能资源更具经济可行性,因此大多数地区的最优微电网配置为光伏-风力发电(WT)-电池储能系统联合配置。本文对仅使用柴油发电机(DG)满足负荷需求的基础案例,与采用可再生能源结合DG的 proposed 案例进行了对比分析。结果表明,在引入可再生能源(RERs)后,不仅显著减少了温室气体排放,还提高了可再生能源占比,同时降低了NPC和LCOE,从而有助于实现联合国可持续发展目标SDG-7(经济适用的清洁能源)和SDG-13(气候行动)。在所提出的方案中,进一步对不同公用事业组合进行了比较:第一种配置同时包含燃气和电力公用事业,另一种则仅依赖电力公用事业来满足负荷需求。结果表明,仅使用电力公用事业的配置在效率和经济性方面更优。
English Abstract
Abstract Renewables are considered eco-friendly due to less emission, sustainability, and economical basis. The study focuses on implementation of indigenous renewable generation sources across residential sector of different climatic zones of Pakistan. This study carried-out techno-economic, environmental, robust, and cost analysis. Techno-economic optimization is performed to minimize net present cost (NPC), Levelized cost of electricity (COE) and to maximize renewable fraction (RF) for micro grid of a residential sector. Central and North region has a viable profile for solar irradiance. On that account best MG configuration is PV-BESS along with DG . While for South region wind profile is profitable. So optimum MG configuration in most regions is PV-WT-BESS. A comparative comparison is made for base case having just diesel generator (DG) to fulfil load demand and proposed case having renewables along with DG . Results shows that by adding RERs not only Greenhouse gas emissions are minimizing but also renewable fraction is increased besides minimizing NPC and LCOE. This led us to satisfy SDG-7 and SDG-13. In proposed case another comparison is made between combination of utilities. First configuration has both gas and electrical utility while other has just electrical utility to fulfil load demand. Results show that electrical utility is more efficient and economical.
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SunView 深度解读
该研究针对不同气候区的光储柴微网优化,与阳光电源ST系列储能变流器及PowerTitan系统高度契合。研究验证了PV-BESS配置在高辐照区域的经济性优势,可指导SG系列光伏逆变器与储能系统的协同优化。多能源互补拓扑与阳光电源GFM/GFL控制技术结合,能提升微网稳定性。研究中LCOE与NPC双目标优化方法,可应用于iSolarCloud平台的智能配置算法,为户用光储系统在新兴市场的推广提供技术依据。