Global Energy Interconnection最新文献_第9页

Analysis and construction of evaluation index system of inter-provincial electricity spot markets 省际电力现货市场评价指标体系分析与构建

IF 1.9 Q4 ENERGY & FUELS

Global Energy Interconnection

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.

由于中国中东部地区新能源装机规模与负荷持续增长之间的矛盾，电力市场的平衡问题日益突出，通过跨省电力现货市场解决这一问题迫在眉睫。首先，总结了跨省电力现货市场的发展历史和建设现状；其次，从市场运行框架、交易申报、结算方式等方面对跨省电力现货市场机制设计进行了梳理；随后，构建了跨省电力现货市场评价指标体系，包括电力互助支持、新能源消费、市场化配置的经济效益和市场化配置的社会效益四个主题；最后，基于2022年市场运行数据，运用算法对省际电力现货市场运行情况进行综合分析，验证了所提指标体系的可行性和实用性。

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引用次数: 0

Model simulation of thermal environment and energy effects of rooftop distributed photovoltaics 屋顶分布式光伏热环境与能量效应模型仿真

IF 1.9 Q4 ENERGY & FUELS

Global Energy Interconnection

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.

屋顶分布式光伏（DPV）系统有望缓解夏季城市制冷需求造成的能源危机，并减轻与城市热岛相关的二次危害。在本研究中，屋顶dpv的参数化方案被纳入天气、研究和预报模型。以2022年8月12日至16日中国江苏省的热浪为天气背景，模拟不同发电效率的屋顶光伏对城市热环境和能源供应的影响。结果表明：(1)屋顶dpv通过减弱到达地表的太阳辐射降低了城市2 m处的气温；随着太阳能电池板效率的提高，冷却效果变得更加显著，尤其是在夜间。海拔2米的白天和夜间气温分别下降约0.1°C - 0.4°C和0.2°C - 0.7°C；(2)安装屋顶dpv可以降低边界层温度，白天（08:00可达0.7°C）和夜间（20:00可达0.6°C）降温效果显著；(3)如果所有建筑物都安装屋顶光伏，其发电量可以满足江苏省热浪期间的总电力需求。30%的发电效率和40%的屋顶光伏安装，产生的电力可以满足全部电力需求。

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引用次数: 0

Two-stage photovoltaic power forecasting method with an optimized transformer 优化变压器的两阶段光伏功率预测方法

IF 1.9 Q4 ENERGY & FUELS

Global Energy Interconnection

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.

准确的光伏发电功率预测是电力系统稳定可靠运行的重要保证。针对光伏系统的非线性、波动性和周期性等复杂特性，提出了一种基于优化变压器结构的两阶段光伏预测方法。在第一阶段，利用一个倒置的变压器骨干来考虑光伏电力系列的多元相关性，并捕获其非线性和波动性。引入ProbSparse attention来减少高内存占用和解决计算过载问题。第二阶段，提出加权序列分解模块提取光伏功率序列的周期性，并通过加性重构得到最终预测结果。在两个公开数据集上的实验表明，该方法具有较高的预测精度、鲁棒性和计算效率。该模型的均方根误差比传统变压器提高了31.23%，均方根误差比基线模型提高了12.57%。

引用次数: 0

Capacity planning of hydro-wind-solar hybrid power systems considering hydropower forbidden zones 考虑水电禁区的水风光电混合发电系统容量规划

IF 1.9 Q4 ENERGY & FUELS

Global Energy Interconnection

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.

在水电-风能-太阳能发电系统的容量规划中，利用柔性水电来补充可变的风能-太阳能发电是至关重要的。水力发电机组的运行必须避开特定的限制运行区域，即禁区，以避免水力发电机组振动带来的风险。限制区对水能发电和水能-风能-太阳能发电系统的灵活调节都造成了限制。因此，在确定水电可补偿的最优风能-太阳能发电容量时，必须考虑fz。本文提出了一个将FZ约束纳入CPHPS问题的数学模型。首先，利用集合理论将水电厂机组的限制区转换为水电厂的限制区；其次，建立了CPHPS的数学模型，将水电站的FZ约束与其他运行约束（如功率平衡约束、新能耗限制、水力发电函数等）耦合。第三，采用逐次逼近的动态规划方法对模型进行求解。最后，以清水河水能-风能-太阳能系统为例，验证了该模型的有效性。

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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

Global Energy Interconnection

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

Global Energy Interconnection

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

Global Energy Interconnection

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

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

Global Energy Interconnection

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

Optimal hydrogen-battery energy storage system operation in microgrid with zero-carbon emission 零碳排放微电网中氢电池储能系统的优化运行

IF 1.9 Q4 ENERGY & FUELS

Global Energy Interconnection

Pub Date : 2024-10-01 DOI: 10.1016/j.gloei.2024.10.006

Huayi Wu , Zhao Xu , Youwei Jia

To meet the greenhouse gas reduction targets and address the uncertainty introduced by the surging penetration of stochastic renewable energy sources, energy storage systems are being deployed in microgrids. Relying solely on short-term uncertainty forecasts can result in substantial costs when making dispatch decisions for a storage system over an entire day. To mitigate this challenge, an adaptive robust optimization approach tailored for a hybrid hydrogen battery energy storage system (HBESS) operating within a microgrid is proposed, with a focus on efficient state-of-charge (SoC) planning to minimize microgrid expenses. The SoC ranges of the battery energy storage (BES) are determined in the day- ahead stage. Concurrently, the power generated by fuel cells and consumed by electrolysis device are optimized. This is followed by the intraday stage, where BES dispatch decisions are made within a predetermined SoC range to accommodate the uncertainties realized. To address this uncertainty and solve the adaptive optimization problem with integer recourse variables in the intraday stage, we proposed an outer-inner column-and-constraint generation algorithm (outer-inner-CCG). Numerical analyses underscored the high effectiveness and efficiency of the proposed adaptive robust operation model in making decisions for HBESS dispatch.

为了实现减少温室气体排放的目标，并解决随机可再生能源激增所带来的不确定性，人们正在微电网中部署储能系统。在对储能系统进行全天调度决策时，仅依靠短期不确定性预测可能会导致大量成本。为了缓解这一挑战，我们提出了一种为在微电网中运行的混合氢电池储能系统（HBESS）量身定制的自适应稳健优化方法，重点关注高效的充电状态（SoC）规划，以最大限度地降低微电网成本。电池储能（BES）的 SoC 范围在日前阶段确定。同时，对燃料电池产生的电能和电解装置消耗的电能进行优化。随后是日内阶段，在这一阶段，BES 调度决策将在预定的 SoC 范围内做出，以适应已实现的不确定性。为了解决这种不确定性，并在日内阶段解决带有整数追索变量的自适应优化问题，我们提出了一种外-内列和约束生成算法（outer-inner-CCG）。数值分析表明，所提出的自适应稳健运行模型在 HBESS 调度决策中具有很高的有效性和效率。

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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

Global Energy Interconnection

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