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离网型光伏-风能-柴油混合系统的优化设计与调度策略:结合电化学、机械、化学及热能储能系统的比较研究
Optimum design and scheduling strategy of an off-grid hybrid photovoltaic-wind-diesel system with an electrochemical, mechanical, chemical and thermal energy storage systems: A comparative scrutiny
| 作者 | Clint Ameri Wankouo Ngouleu · Yemeli Wenceslas Koholé · Fodoup Cyrille Vincelas Fohagui · Ghislain Tchuen |
| 期刊 | Applied Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 377 卷 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | Comparison of Battery Pumped-Hydro Hydrogen and Thermal Energy Storage. |
语言:
中文摘要
摘要 全球对电力生产的需求正在稳步增长,使得采用混合系统成为一项关键解决方案。这些系统被用于为不同地区提供电力,以应对太阳能和风能资源的间歇性问题。通过整合两种或多种绿色能源,混合系统需要对不同配置进行技术经济性和环境影响评估,以确保可再生能源资源的高效利用。本研究针对喀麦隆库塞里地区,对包含电池储能(BES)、燃料电池储能(FCS)、抽水蓄能(HES)和热能储能(TES)单元的光伏/风能/柴油混合系统,与仅使用柴油发电的系统进行了深入的技术经济与环境性能分析。优化过程针对十二种不同的混合系统展开,这些系统包括光伏(PV)面板、风力涡轮机、柴油发电机、TES、HES、BES和FCS的不同组合。研究目标是确定每种系统配置中各组件的最佳容量,以有效满足库塞里地区三种不同活动水平——小规模活动(SA)、中等规模活动(MA)和高强度活动(HA)——下的电力负荷需求。各类情况下的最优组件配置通过净现值成本(NPC)这一优化准则来确定。为此,采用了布谷鸟搜索优化算法。随后,除柴油单独供电方案外,所有十二种经过优化的混合系统均通过多项指标进行评估与比较,包括净现值成本(NPC)、单位能源成本(COE)、多余能量比例(EEF)、可再生能源占比(REF)、供电不足概率(LPSP)以及年总温室气体排放量。优化结果表明,PV/Wind/Diesel/TES组合在经济性方面表现最为优越,在SA情景下其最小NPC和COE分别为13,942.9美元和0.2579美元/kWh;在MA情景下为20,228.2美元和0.2649美元/kWh;在HA情景下为32,158.6美元和0.2461美元/kWh。在可靠性方面,PV/Diesel/TES配置被认定为最可靠的系统结构,在SA情景下其LPSP、REF和EEF分别为0.49%、16.53%和99.08%;在MA情景下为0.43%、16.86%和99.11%;在HA情景下为0.38%、17.41%和98.98%。此外,PV/Diesel/TES配置也被证明是最具环境友好性的混合系统,相较于纯柴油系统,其年度污染物总排放量显著减少了98.44%(SA)、98.76%(MA)和98.79%(HA)。总体而言,配备TES的系统在技术经济性和环境性能方面均优于配备BES、HES和FCS单元的系统。
English Abstract
Abstract The global need for electricity generation is rising steadily, making the adoption of hybrid systems a crucial solution. These systems are employed to provide power across various regions, addressing the intermittent nature of solar and wind resources . By integrating two or more green energy sources, hybrid systems require a techno-economic and environmental evaluation of different configurations to ensure the efficient use of renewable energy resources . This study provides an in-depth techno-economic and environmental analysis of hybrid PV/Wind/Diesel systems incorporating battery energy storage (BES), fuel cell storage (FCS), pumped-hydro energy storage (HES), and thermal energy storage (TES) units in comparison to a diesel-only system in Kousseri, Cameroon. The optimization process were conducted for twelve different hybrid systems. These systems include combinations of photovoltaic (PV) panels, wind turbines , diesel generator, TES, HES, BES and FCS. The objective was to identify the optimal sizes of components for each system configuration that can effectively meet the electrical load requirements of three distinct activity profiles: small activity (SA), medium activity (MA), and heavy activity (HA) encountered at Kousseri. The optimal configuration of components for each case is established through the optimization criterion of net present cost ( NPC ). To achieve this goal, a cuckoo search optimization algorithm is employed. Subsequently, all twelve optimized hybrid systems, in addition to the diesel-only scenario, are assessed and compared using various metrics including NPC , cost of energy ( COE ), excess energy fraction ( EEF ), renewable energy fraction ( REF ), loss of power supply probability ( LPSP ), and the total annual greenhouse gas emissions generated. The optimisation results show that the PV/Wind/Diesel/TES combination was economically the most viable system with a minimum NPC and COE of 13,942.9 $ and 0.2579 $/kWh for the SA; 20,228.2 $ and 0.2649 $/kWh for the MA; and 32,158.6 $ and 0.2461 $/kWh for the HA. In terms of reliability, the PV/Diesel/TES configuration was found to be the most reliable configuration with a LPSP , REF and EEF of 0.49 % , 16.53 % and 99.08 % for SA, 0.43 % , 16.86 % and 99.11 % for MA, and 0.38 % , 17.41 % and 98.98 % for HA. The PV/Diesel/TES configuration also emerged as the most environmentally friendly hybrid system, demonstrating a significant reduction of 98.44 % for SA, 98.76 % for MA, and 98.79 % for HA in yearly total pollutants emissions compared to the diesel-only system. Overall, the systems with TES options have shown better techno-economic and environmental performance compared with the systems with BES, HES and FCS units.
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SunView 深度解读
该研究对阳光电源混合储能系统具有重要参考价值。研究表明PV/柴油/热储能配置在经济性和环保性上表现最优,验证了我司ST系列PCS与光储柴一体化方案的技术路线正确性。热储能系统优于电化学储能的结论,启发我司可探索PowerTitan系统与热储能的混合配置,针对离网场景开发多能互补解决方案。研究采用的布谷鸟算法优化思路,可集成至iSolarCloud平台,提升容量配置和能量管理策略的智能化水平,特别适用于非洲等离网市场的SG逆变器+储能系统组合应用。