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Analysis and construction of evaluation index system of inter-provincial electricity spot markets
IF 1.9 Q4 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.001
Hao Yue , Yu Zhang , Jiahao Guo , Yang Hu , Chengmei Wei , Heping Jia , Dunnan Liu , Dunjian Xie
Because of the contradiction between the scale of new energy installations and the continuous load growth in the central and eastern regions of China, the balance problems of the electricity market are becoming increasingly prominent, and it is urgent to solve such problems through inter-provincial electricity spot markets. First, the development history and construction status of the inter-provincial electricity spot market are summarized; second, the mechanism design of the inter-provincial electricity spot market is sorted out in terms of the market operation framework, transaction declaration, and clearing methods; subsequently, the evaluation index system of the inter-provincial electricity spot market is constructed, including four themes of electricity mutual aid and support, new energy consumption, economic benefits of market-based allocation, and social benefits of market-based allocation; finally, the operation of the inter-provincial electricity spot market is comprehensively analyzed by the algorithm based on the market operation data of 2022, which proves the feasibility and practicality of the proposed index system.
{"title":"Analysis and construction of evaluation index system of inter-provincial electricity spot markets","authors":"Hao Yue ,&nbsp;Yu Zhang ,&nbsp;Jiahao Guo ,&nbsp;Yang Hu ,&nbsp;Chengmei Wei ,&nbsp;Heping Jia ,&nbsp;Dunnan Liu ,&nbsp;Dunjian Xie","doi":"10.1016/j.gloei.2024.11.001","DOIUrl":"10.1016/j.gloei.2024.11.001","url":null,"abstract":"<div><div>Because of the contradiction between the scale of new energy installations and the continuous load growth in the central and eastern regions of China, the balance problems of the electricity market are becoming increasingly prominent, and it is urgent to solve such problems through inter-provincial electricity spot markets. First, the development history and construction status of the inter-provincial electricity spot market are summarized; second, the mechanism design of the inter-provincial electricity spot market is sorted out in terms of the market operation framework, transaction declaration, and clearing methods; subsequently, the evaluation index system of the inter-provincial electricity spot market is constructed, including four themes of electricity mutual aid and support, new energy consumption, economic benefits of market-based allocation, and social benefits of market-based allocation; finally, the operation of the inter-provincial electricity spot market is comprehensively analyzed by the algorithm based on the market operation data of 2022, which proves the feasibility and practicality of the proposed index system.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 6","pages":"Pages 697-706"},"PeriodicalIF":1.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Model simulation of thermal environment and energy effects of rooftop distributed photovoltaics
IF 1.9 Q4 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.007
Hai Zhou , Weidong Chen , Siyu Hu , Fan Yang
Rooftop distributed photovoltaic (DPV) systems show promise for alleviating the energy crisis resulting from summer urban cooling demands and mitigating secondary hazards associated with urban heat islands. In this study, a parametric scheme for rooftop DPVs was incorporated into the Weather, Research and Forecasting model. The period from August 12–16, 2022, during a heatwave in Jiangsu Province, China, was selected as the weather background to simulate the impact of rooftop DPVs with varying power generation efficiencies on urban thermal environments and energy supply. The results indicate that (1) rooftop DPVs reduce urban air temperatures at 2 m by weakening the solar radiation reaching the surface. As solar panel efficiency improves, the cooling effects become more significant, particularly at night. Day and night air temperatures at 2 m can decrease by approximately 0.1 °C–0.4 °C and 0.2°C–0.7 °C, respectively; (2) Installing rooftop DPVs can lower boundary layer temperatures, with pronounced cooling effects during the day (up to 0.7 °C at 08:00) and night (up to 0.6 °C at 20:00); (3) If all buildings are equipped with rooftop DPVs, the electricity generated could meet Jiangsu Province’s total electricity demand during heatwaves. With 30% generation efficiency and rooftop DPVs installed at 40% of buildings, the electricity produced can meet the entire electricity demand.
{"title":"Model simulation of thermal environment and energy effects of rooftop distributed photovoltaics","authors":"Hai Zhou ,&nbsp;Weidong Chen ,&nbsp;Siyu Hu ,&nbsp;Fan Yang","doi":"10.1016/j.gloei.2024.11.007","DOIUrl":"10.1016/j.gloei.2024.11.007","url":null,"abstract":"<div><div>Rooftop distributed photovoltaic (DPV) systems show promise for alleviating the energy crisis resulting from summer urban cooling demands and mitigating secondary hazards associated with urban heat islands. In this study, a parametric scheme for rooftop DPVs was incorporated into the Weather, Research and Forecasting model. The period from August 12–16, 2022, during a heatwave in Jiangsu Province, China, was selected as the weather background to simulate the impact of rooftop DPVs with varying power generation efficiencies on urban thermal environments and energy supply. The results indicate that (1) rooftop DPVs reduce urban air temperatures at 2 m by weakening the solar radiation reaching the surface. As solar panel efficiency improves, the cooling effects become more significant, particularly at night. Day and night air temperatures at 2 m can decrease by approximately 0.1 °C–0.4 °C and 0.2°C–0.7 °C, respectively; (2) Installing rooftop DPVs can lower boundary layer temperatures, with pronounced cooling effects during the day (up to 0.7 °C at 08:00) and night (up to 0.6 °C at 20:00); (3) If all buildings are equipped with rooftop DPVs, the electricity generated could meet Jiangsu Province’s total electricity demand during heatwaves. With 30% generation efficiency and rooftop DPVs installed at 40% of buildings, the electricity produced can meet the entire electricity demand.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 6","pages":"Pages 723-732"},"PeriodicalIF":1.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Two-stage photovoltaic power forecasting method with an optimized transformer
IF 1.9 Q4 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.011
Yanhong Ma , Feng Li , Hong Zhang , Guoli Fu , Min Yi
Accurate photovoltaic (PV) power forecasting ensures the stability and reliability of power systems. To address the complex characteristics of nonlinearity, volatility, and periodicity, a novel two-stage PV forecasting method based on an optimized transformer architecture is proposed. In the first stage, an inverted transformer backbone was utilized to consider the multivariate correlation of the PV power series and capture its non-linearity and volatility. ProbSparse attention was introduced to reduce high-memory occupation and solve computational overload issues. In the second stage, a weighted series decomposition module was proposed to extract the periodicity of the PV power series, and the final forecasting results were obtained through additive reconstruction. Experiments on two public datasets showed that the proposed forecasting method has high accuracy, robustness, and computational efficiency. Its RMSE improved by 31.23% compared with that of a traditional transformer, and its MSE improved by 12.57% compared with that of a baseline model.
{"title":"Two-stage photovoltaic power forecasting method with an optimized transformer","authors":"Yanhong Ma ,&nbsp;Feng Li ,&nbsp;Hong Zhang ,&nbsp;Guoli Fu ,&nbsp;Min Yi","doi":"10.1016/j.gloei.2024.11.011","DOIUrl":"10.1016/j.gloei.2024.11.011","url":null,"abstract":"<div><div>Accurate photovoltaic (PV) power forecasting ensures the stability and reliability of power systems. To address the complex characteristics of nonlinearity, volatility, and periodicity, a novel two-stage PV forecasting method based on an optimized transformer architecture is proposed. In the first stage, an inverted transformer backbone was utilized to consider the multivariate correlation of the PV power series and capture its non-linearity and volatility. ProbSparse attention was introduced to reduce high-memory occupation and solve computational overload issues. In the second stage, a weighted series decomposition module was proposed to extract the periodicity of the PV power series, and the final forecasting results were obtained through additive reconstruction. Experiments on two public datasets showed that the proposed forecasting method has high accuracy, robustness, and computational efficiency. Its RMSE improved by 31.23% compared with that of a traditional transformer, and its MSE improved by 12.57% compared with that of a baseline model.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 6","pages":"Pages 812-824"},"PeriodicalIF":1.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Capacity planning of hydro-wind-solar hybrid power systems considering hydropower forbidden zones
IF 1.9 Q4 ENERGY & FUELS Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.002
Zhiyu Yan , Lu Zhang , Fulong Song
In the capacity planning of hydro-wind-solar power systems (CPHPS), it is crucial to use flexible hydropower to complement the variable wind-solar power. Hydropower units must be operated such that they avoid specific restricted operation zones, that is, forbidden zones (FZs), to avoid the risks associated with hydropower unit vibration. FZs cause limitations in terms of both the hydropower generation and flexible regulation in the hydro-wind-solar power systems. Therefore, it is essential to consider FZs when determining the optimal wind-solar power capacity that can be compensated by the hydropower. This study presents a mathematical model that incorporates the FZ constraints into the CPHPS problem. Firstly, the FZs of the hydropower units are converted into those of the hydropower plants based on set theory. Secondly, a mathematical model was formulated for the CPHPS, which couples the FZ constraints of hydropower plants with other operational constraints (e.g., power balance constraints, new energy consumption limits, and hydropower generation functions). Thirdly, dynamic programming with successive approximations is employed to solve the proposed model. Lastly, case studies were conducted on the hydro-wind-solar system of the Qingshui River to demonstrate the effectiveness of the proposed model.
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引用次数: 0
Adaptive VSG control of flywheel energy storage array for frequency support in microgrids 用于微电网频率支持的飞轮储能阵列自适应 VSG 控制
IF 1.9 Q4 ENERGY & FUELS Pub Date : 2024-10-01 DOI: 10.1016/j.gloei.2024.10.002
Penghui Ren , Jingwen Zheng , Liang Qin , Ruyin Sun , Shiqi Yang , Jiangjun Ruan , Kaipei Liu
The application of virtual synchronous generator (VSG) control in flywheel energy storage systems (FESS) is an effective solution for addressing the challenges related to reduced inertia and inadequate power supply in microgrids. Considering the significant variations among individual units within a flywheel array and the poor frequency regulation performance under conventional control approaches, this paper proposes an adaptive VSG control strategy for a flywheel energy storage array (FESA). First, by leveraging the FESA model, a variable acceleration factor is integrated into the speed-balance control strategy to effectively achieve better state of charge (SOC) equalization across units. Furthermore, energy control with a dead zone is introduced to prevent SOC of the FESA from exceeding the limit. The dead zone parameter is designed based on the SOC warning intervals of the flywheel array to mitigate its impact on regular operation. In addition, VSG technology is applied for the grid-connected control of the FESA, and the damping characteristic of the VSG is decoupled from the primary frequency regulation through power differential feedback. This ensures optimal dynamic performance while reducing the need for frequent involvement in frequency regulation. Subsequently, a parameter design method is developed through a small-signal stability analysis. Consequently, considering the SOC of the FESA, an adaptive control strategy for the inertia damping and the P/ω droop coefficient of the VSG control is proposed to optimize the grid support services of the FESA. Finally, the effectiveness of the proposed control methods is demonstrated through electromagnetic transient simulations using MATLAB/Simulink.
在飞轮储能系统(FESS)中应用虚拟同步发电机(VSG)控制是解决与微电网中惯性减小和供电不足有关的挑战的有效方案。考虑到飞轮阵列中各个单元之间的显著差异,以及传统控制方法下较差的频率调节性能,本文提出了飞轮储能阵列(FESA)的自适应 VSG 控制策略。首先,利用飞轮储能阵列模型,在速度平衡控制策略中集成了可变加速因子,以有效实现各单元之间更好的电荷状态(SOC)均衡。此外,还引入了带死区的能量控制,以防止 FESA 的 SOC 超过极限。死区参数是根据飞轮阵列的 SOC 警告间隔设计的,以减轻其对正常运行的影响。此外,还将 VSG 技术应用于 FESA 的并网控制,并通过功率差反馈将 VSG 的阻尼特性与主频率调节解耦。这样既能确保最佳的动态性能,又能减少频繁参与频率调节的需要。随后,通过小信号稳定性分析开发了一种参数设计方法。因此,考虑到 FESA 的 SOC,提出了 VSG 控制的惯性阻尼和 P/ω 下降系数的自适应控制策略,以优化 FESA 的电网支持服务。最后,通过使用 MATLAB/Simulink 进行电磁瞬态仿真,证明了所提控制方法的有效性。
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引用次数: 0
An overview of grid-forming technology and its application in new-type power system 电网形成技术及其在新型电力系统中的应用概述
IF 1.9 Q4 ENERGY & FUELS Pub Date : 2024-10-01 DOI: 10.1016/j.gloei.2024.10.003
Zehong Liu , Yu Sun , Chao Ma
To address the global climate crisis, achieving energy transitions is imperative. Establishing a new-type power system is a key measure to achieve CO2 emissions peaking and carbon neutrality. The core goal is to transform renewable energy resources into primary power sources. The large-scale integration of high proportions of renewable energy sources and power electronic devices will dramatically change the operational mechanisms and control strategies of power systems. Existing wind and solar converters mostly adopt the grid-following control mode, which leads to significant challenges in system security and stability as it is insufficient to support the frequency and voltage of the grid. On the other hand, grid- forming control technology (GFM) can provide voltage and frequency support for the system, and thus becomes an effective measure to improve the inertia and damping characteristics of power systems. This paper illustrates the principles, control strategies, equipment types, application scenarios, and project implementation of grid-forming technology. The simulation and analysis based on a renewable-dominated real new-type power system show that GFM can significantly enhance the frequency and voltage support capacity of the power system, improve renewable energy accommodation capacity and grid transmission capacity under weak grid conditions, and play an important role in enhancing the stability and power supply reliability of renewable-dominated new-type power systems.
为应对全球气候危机,实现能源转型势在必行。建立新型电力系统是实现二氧化碳排放调峰和碳中和的关键措施。其核心目标是将可再生能源转化为一次能源。大规模集成高比例的可再生能源和电力电子设备,将极大地改变电力系统的运行机制和控制策略。现有的风能和太阳能变流器大多采用电网跟随控制模式,这种模式不足以支持电网的频率和电压,从而给系统的安全性和稳定性带来巨大挑战。另一方面,电网形成控制技术(GFM)可为系统提供电压和频率支持,从而成为改善电力系统惯性和阻尼特性的有效措施。本文阐述了电网成形技术的原理、控制策略、设备类型、应用场景和项目实施。基于以可再生能源为主的实际新型电力系统的仿真分析表明,GFM 可显著增强电力系统的频率和电压支持能力,提高弱电网条件下的可再生能源接纳能力和电网输送能力,对提高以可再生能源为主的新型电力系统的稳定性和供电可靠性具有重要作用。
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引用次数: 0
Optimization dispatching strategy for an energy storage system considering its unused capacity sharing 考虑未使用容量共享的储能系统优化调度策略
IF 1.9 Q4 ENERGY & FUELS Pub Date : 2024-10-01 DOI: 10.1016/j.gloei.2024.10.008
Hejun Yang , Zhaochen Yang , Siyang Liu , Dabo Zhang , Yun Yu
In renewable energy systems, energy storage systems can reduce the power fluctuation of renewable energy sources and compensate for the prediction deviation. However, if the renewable energy prediction deviation is small, the energy storage system may work in an underutilized state. To efficiently utilize a renewable-energy-sided energy storage system (RES), this study proposed an optimization dispatching strategy for an energy storage system considering its unused capacity sharing. First, this study proposed an unused capacity-sharing strategy for the RES to fully utilize the storage’s unused capacity and elevate the storage’s service efficiency. Second, RES was divided into “deviation-compensating energy storage (DES)” and “sharing energy storage (SES)” to clarify the function of RES in the operation process. Third, this study established an optimized dispatching model to achieve the lowest system operating cost wherein the unused capacity- sharing strategy could be integrated. Finally, a case study was investigated, and the results indicated that the proposed model and algorithm effectively improved the utilization of renewable-energy-side energy storage systems, thereby reducing the total operation cost and pressure on peak shaving.
在可再生能源系统中,储能系统可以减少可再生能源的功率波动,补偿预测偏差。然而,如果可再生能源预测偏差较小,储能系统可能会处于未充分利用状态。为了有效利用可再生能源侧储能系统(RES),本研究提出了一种考虑未使用容量共享的储能系统优化调度策略。首先,本研究提出了可再生能源储能系统的闲置容量共享策略,以充分利用储能系统的闲置容量,提高储能系统的服务效率。其次,将可再生能源分为 "偏差补偿储能(DES)"和 "共享储能(SES)",以明确可再生能源在运行过程中的作用。第三,本研究建立了一个优化的调度模型,以实现最低的系统运行成本,其中可将闲置容量共享策略纳入其中。最后,进行了案例研究,结果表明所提出的模型和算法有效提高了可再生能源侧储能系统的利用率,从而降低了总运行成本和削峰压力。
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引用次数: 0
Economic analysis of hydrogen production from electrolyzed water technology by provinces in China 中国各省电解水制氢技术的经济分析
IF 1.9 Q4 ENERGY & FUELS Pub Date : 2024-10-01 DOI: 10.1016/j.gloei.2024.10.004
Xiao Han , Jiangpeng Feng , Yunhao Zhao , Wenlei Bai
A novel model for measuring the economics of hydrogen generation via electrolytic water projects was constructed. The model overcomes the current problem of incomplete and inaccurate assessments of the price of producing hydrogen via water, which are caused by ignoring the indirect carbon costs of different power generation sources in the process of determining the cost of producing hydrogen via water. The model was used to analyze the price of producing hydrogen via water electrolysis and its sensitivity to the electricity costs of hydrogen production and carbon prices in various provinces of China. With the continuing increase in the penetration of novel energy in China’s power system and the gradual decline in electricity prices, the price of producing hydrogen via electrolytic water is expected to be close to or even lower than that of producing hydrogen via coal in the future. Geographical differences also have a significant impact on the price of producing hydrogen, which is typically higher in the southeastern coastal region than in the western region, because of the local price of electricity and the composition of the energy sources. Provinces that have been effective in developing novel energy sources, such as Qinghai, Sichuan, and others, have been effective in the hydrogen energy industry. Sichuan and other provinces with significant new energy development have a clear advantage in the hydrogen industry. Because provinces with low hydrogen production costs can transport hydrogen to provinces with high hydrogen production costs through pipelines, hydrogen pipelines are planned from Shaanxi to Henan and from Xinjiang to Nei Mongol. These study results reveal the relative economic advantages of producing hydrogen via water electrolysis under various energy and electricity price policies and provide new perspectives on China’s energy strategy and the growth of the hydrogen energy sector.
我们建立了一个衡量电解水制氢项目经济性的新模型。该模型克服了目前由于在确定电解水制氢成本的过程中忽略了不同发电来源的间接碳成本而导致的对电解水制氢价格评估不全面和不准确的问题。该模型用于分析中国各省电解水制氢的价格及其对制氢电力成本和碳价格的敏感性。随着新型能源在中国电力系统中渗透率的不断提高以及电价的逐步下降,预计未来电解水制氢的价格将接近甚至低于煤炭制氢的价格。地域差异对制氢价格的影响也很大,由于当地的电价和能源构成,东南沿海地区的制氢价格通常高于西部地区。青海、四川等在开发新型能源方面卓有成效的省份,在氢能产业方面也卓有成效。四川等新能源发展成效显著的省份在氢能产业方面优势明显。由于制氢成本低的省份可以通过管道将氢气输送到制氢成本高的省份,因此规划了从陕西到河南、从新疆到内蒙古的氢气管道。这些研究结果揭示了在不同的能源和电价政策下,通过电解水制氢的相对经济优势,为中国的能源战略和氢能产业的发展提供了新的视角。
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引用次数: 0
Adaptive linear active disturbance-rejection control strategy reduces the impulse current of compressed air energy storage connected to the grid 自适应线性有源干扰抑制控制策略可降低并网压缩空气储能的脉冲电流
IF 1.9 Q4 ENERGY & FUELS Pub Date : 2024-10-01 DOI: 10.1016/j.gloei.2024.10.001
Jianhui Meng , Yaxin Sun , Zili Zhang
The merits of compressed air energy storage (CAES) include large power generation capacity, long service life, and environmental safety. When a CAES plant is switched to the grid-connected mode and participates in grid regulation, using the traditional control mode with low accuracy can result in excess grid-connected impulse current and junction voltage. This occurs because the CAES output voltage does not match the frequency, amplitude, and phase of the power grid voltage. Therefore, an adaptive linear active disturbance-rejection control (A-LADRC) strategy was proposed. Based on the LADRC strategy, which is more accurate than the traditional proportional integral controller, the proposed controller is enhanced to allow adaptive adjustment of bandwidth parameters, resulting in improved accuracy and response speed. The problem of large impulse current when CAES is switched to the grid-connected mode is addressed, and the frequency fluctuation is reduced. Finally, the effectiveness of the proposed strategy in reducing the impact of CAES on the grid connection was verified using a hardware-in-the-loop simulation platform. The influence of the k value in the adaptive- adjustment formula on the A-LADRC was analyzed through simulation. The anti-interference performance of the control was verified by increasing and decreasing the load during the presynchronization process.
压缩空气储能(CAES)具有发电量大、使用寿命长、环保安全等优点。当 CAES 发电站切换到并网模式并参与电网调节时,使用精度较低的传统控制模式可能会导致并网脉冲电流和结点电压过高。出现这种情况的原因是 CAES 输出电压与电网电压的频率、幅值和相位不匹配。因此,有人提出了一种自适应线性有源干扰抑制控制(A-LADRC)策略。与传统的比例积分控制器相比,线性有源干扰抑制控制策略的精度更高,在此基础上,对控制器进行了改进,允许对带宽参数进行自适应调节,从而提高了精度和响应速度。解决了 CAES 切换到并网模式时的大脉冲电流问题,并降低了频率波动。最后,利用硬件在环仿真平台验证了所提策略在减少 CAES 对并网影响方面的有效性。通过仿真分析了自适应调整公式中 k 值对 A-LADRC 的影响。通过在预同步过程中增加和减少负载,验证了控制的抗干扰性能。
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引用次数: 0
Optimal scheduling of zero-carbon park considering variational characteristics of hydrogen energy storage systems 考虑氢储能系统变异特性的零碳园区优化调度
IF 1.9 Q4 ENERGY & FUELS Pub Date : 2024-10-01 DOI: 10.1016/j.gloei.2024.10.007
Jun Yin , Heping Jia , Laijun Chen , Dunnan Liu , Shengwei Mei , Sheng Wang
Zero-carbon parks have broad prospects in carbon neutralization. As an energy hub, hydrogen energy storage plays an important role in zero-carbon parks. However, the nonlinear characteristics of hydrogen energy storage systems (HESSs) have a significant impact on the system economy. Therefore, considering the variable working condition characteristics of HESSs, a hybrid operation method is proposed for HESS, to support the efficient and economic operation of zero-carbon parks, by analyzing the operating principle of a zero-carbon park with HESS, the system structure framework and variable condition linearization model of the equipment in HESS are established. Moreover, considering the energy output characteristics of hydrogen energy storage equipment under variable working conditions, a multimodule hybrid operation strategy is proposed for electrolytic and fuel cells, effectively meeting the thermoelectric load demand of zero- carbon parks in different scenarios. Finally, the economy of the proposed hybrid operation strategy was verified in typical scenarios, using a zero-carbon park embedded with a HESS.
零碳园区在碳中和方面前景广阔。作为能源枢纽,氢储能在零碳园区中发挥着重要作用。然而,氢储能系统(HESS)的非线性特性对系统的经济性有很大影响。因此,考虑到氢储能系统的变工况特性,提出了氢储能系统的混合运行方法,通过分析零碳园区氢储能系统的运行原理,建立了氢储能系统的系统结构框架和设备的变工况线性化模型,为零碳园区的高效经济运行提供支持。此外,考虑到氢储能设备在变工况下的能量输出特性,提出了电解槽与燃料电池的多模块混合运行策略,有效满足了零碳园区在不同场景下的热电负荷需求。最后,利用一个嵌入了氢能储存设备的零碳园区,在典型场景下验证了所提出的混合运行策略的经济性。
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引用次数: 0
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Global Energy Interconnection
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