International Journal of Electrical Power & Energy Systems最新文献_第7页

A receding horizon dynamic maintenance strategy with distribution network reconfiguration and multi-fault interaction 配电网重构和多故障交互的退层动态维护策略

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-03-01 Epub Date: 2026-03-05 DOI: 10.1016/j.ijepes.2026.111715

Jiayang Zhang, Shengjun Huang, Qingxia Li, Xueyang Zhang, Jian Zhang, Tao Zhang

In the context of increasing extreme weather events and human-induced disasters, enhancing the resilience of distribution networks has become a critical challenge for power systems. Traditional post-disaster maintenance strategies often rely on static decision-making models, which fail to account for the dynamic evolution of network topology and the coupling effects of multi-type faults during the restoration process. To address these limitations, this paper proposes a dynamic maintenance restoration strategy with network reconfiguration for the distribution network. A novel multi-fault set, denoted as

(L_{O}, N_{O}, L_{C}, N_{C})

, has been developed to address physical damage and malfunctions in protection systems comprehensively. This set is integrated into a multi-stage optimization framework that synchronizes maintenance scheduling with network reconfiguration. The framework utilizes a mixed-integer linear programming formulation aimed at maximizing the recovery efficiency of system load. In the IEEE 33-bus test system, the proposed method outperforms traditional and heuristic methods in various fault scenarios. It improves the RES by 3.06% to 22.42% over static strategies and by 0.07% to 12.42% over heuristic methods. Additionally, it reduces maintenance path lengths by 20.04% to 34.77% and enhances weighted load restoration by 4.85% to 51.86%.

在极端天气事件和人为灾害日益增多的背景下，提高配电网的弹性已成为电力系统面临的重要挑战。传统的灾后维护策略往往依赖于静态决策模型，无法考虑网络拓扑的动态演变和多类型故障在恢复过程中的耦合效应。针对这些局限性，本文提出了一种带网络重构的配电网动态维修恢复策略。提出了一种新型的多故障集（LO，NO，LC，NC），以全面解决保护系统的物理损伤和故障。这组集成到一个多阶段的优化框架，同步维护调度与网络重构。该框架采用混合整数线性规划公式，旨在最大限度地提高系统负载的恢复效率。在IEEE 33总线测试系统中，该方法在各种故障场景下均优于传统方法和启发式方法。它比静态策略提高了3.06%到22.42%，比启发式方法提高了0.07%到12.42%。此外，将维护路径长度减少20.04%至34.77%，将加权负载恢复提高4.85%至51.86%。

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引用次数: 0

A blockchain-integrated secure and transparent peer-to-peer transactive energy model with node interaction analysis 一个区块链集成的安全透明的点对点交易能源模型，具有节点交互分析

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-03-01 Epub Date: 2026-02-25 DOI: 10.1016/j.ijepes.2026.111664

Hossein Chabok , Ali Moeini , Innocent Kamwa

Transactive energy (TE) empowers end-users to exchange energy through Peer-to-Peer (P2P) energy transactions to support the escalating demand. These P2P negotiations and Grid’s smartness have raised concerns regarding trust and transparency. Researchers has considered blockchain technology (BT) as a potential solution to provide transparency, integrity, and security in decentralized networks. In this regard, this work’s main contribution is fourfold: 1) Providing a P2P transactive energy (P2PTE) model at the distribution level for presenting peers negotiates over energy/price in a P2P manner. 2) Proposing a modified alternative direction method of multipliers (MADMM) to solve the P2PTE model and enhance the speed of consensus within the P2PTE system. 3) Integrating a Raft consensus-based blockchain with the P2PTE due to its simplicity and efficiency for private blockchains, providing a security layer for negotiated prices and energy values. 4) Enabling a wireless communication network within the Raft blockchain to model the data layer and analyze the time delays in communication among peers, from block generation to ledger extension. The latency, size and number of generated data blocks are analyzed in this paper. The studied model is tested on IEEE 37- and 123-bus distribution networks and results show the effectiveness and applicability of the work.

交易能源（TE）使终端用户能够通过点对点（P2P）能源交易交换能源，以支持不断增长的需求。这些P2P的协商和Grid的聪明引起了人们对信任和透明度的关注。研究人员认为区块链技术（BT）是一种潜在的解决方案，可以在分散的网络中提供透明度、完整性和安全性。在这方面，这项工作的主要贡献有四个方面：1)在分配层面提供P2P交易能源（P2PTE）模型，用于呈现对等体以P2P方式协商能源/价格。2)提出了一种改进的乘子替代方向法（MADMM）来求解P2PTE模型，提高了P2PTE系统内部达成共识的速度。3)将基于Raft共识的区块链与P2PTE集成，因为它对私有区块链来说简单而高效，为协商价格和能源价值提供安全层。4)使Raft区块链内的无线通信网络能够对数据层进行建模，并分析从区块生成到账本扩展的对等体之间通信的时间延迟。本文分析了延时、生成数据块的大小和数量。该模型在IEEE 37总线和123总线配电网上进行了测试，结果表明了该模型的有效性和适用性。

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引用次数: 0

Admittance modelling of fuel cell circuits for small-signal stability assessment of hydrogen storage systems in DC-grids 用于直流电网储氢系统小信号稳定性评估的燃料电池电路导纳建模

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-03-01 Epub Date: 2026-03-09 DOI: 10.1016/j.ijepes.2026.111745

Oriol Cartiel , Luis Sainz , Pablo Horrillo-Quintero , Juan-José Mesas , Pablo García-Triviño , Raúl Sarrias-Mena , Luis M. Fernández-Ramírez

Hydrogen fuel cells are attracting growing attention as controllable power sources in emerging DC-based multi-energy systems. When integrated through boost-type DC/DC converters, their fast dynamics can interact with grid resonances and compromise system stability. Device-specific small-signal models and frequency-domain analysis methods, among other tools, can contribute to understanding of these interactions. This paper develops an analytical small-signal admittance-based model of fuel cell circuits derived from state-space averaging. The model is used to characterise the resonance and damping frequency regions associated with the fuel cell circuit and to evaluate their impact on DC grid oscillatory stability. The positive-mode-damping stability criterion—based on resonance mode analysis—is applied to interpret stability concerns in the frequency domain and to identify critical parameter sensitivities. In contrast to electrolyser circuits, fuel cell circuits exhibit distinct energy-supplying dynamics and negative damping tendencies, which are compared and discussed. The validity of the proposed model and its stability predictions are confirmed by MATLAB/Simulink time-domain simulations and hardware-in-the-loop experiments conducted on an OPAL-RT4512 platform. These results provide practical insights into the role of fuel cell circuits in the stability of hydrogen-integrated DC grids and support the robust design of future multi-energy systems.

氢燃料电池作为一种可控电源，在新兴的直流多能系统中受到越来越多的关注。当通过升压型DC/DC转换器集成时，它们的快速动态可能与电网共振相互作用并损害系统稳定性。特定于设备的小信号模型和频域分析方法，以及其他工具，可以有助于理解这些相互作用。本文建立了一种基于状态空间平均的燃料电池电路分析小信号导纳模型。该模型用于表征与燃料电池电路相关的共振和阻尼频率区域，并评估它们对直流电网振荡稳定性的影响。基于共振模态分析的正模态阻尼稳定性判据用于解释频域稳定性问题和识别关键参数灵敏度。与电解槽电路相比，燃料电池电路表现出明显的能量供应动力学和负阻尼趋势，并对其进行了比较和讨论。通过MATLAB/Simulink时域仿真和OPAL-RT4512平台硬件在环实验，验证了所提模型的有效性及其稳定性预测。这些结果为燃料电池电路在氢集成直流电网稳定性中的作用提供了实际见解，并为未来多能系统的稳健设计提供了支持。

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引用次数: 0

Stability-improved network partition based on a small-step synthesis model for electromagnetic transient simulation 电磁瞬变仿真中基于小步综合模型的稳定性改进网络划分

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-03-01 Epub Date: 2026-02-21 DOI: 10.1016/j.ijepes.2026.111709

Haoran Zhao, Changwang Zhao, Bing Li, Luwei Tan

Electromagnetic transient simulation offers high fidelity for modern power systems with high penetration of power electronics, but it suffers from low efficiency due to small time step requirements. To improve efficiency, network partition based on energy storage elements (i.e., capacitors and inductors) has gained attention, yet its numerical stability is limited by the simulation time step. This paper proposes a stability-improved network partition method using a small-step synthesis model. First, the semi-implicit leapfrog method-based network partition formulation is derived. Second, the small-step synthesis model-based network partition method is proposed. The method improves the numerical stability of the simulation by applying a small-step synthesis model to the network partition branches. Finally, the stability boundaries for the time step and synthesis order are derived based on the Lyapunov criterion and spectral radius analysis. The IEEE 14-bus system and a wind farm model are used to validate the proposed method. The results demonstrate that the proposed method enhances stability without sacrificing accuracy or efficiency.

电磁暂态仿真为电力电子技术高度渗透的现代电力系统提供了高保真度，但由于时间步长要求小，效率较低。为了提高效率，基于储能元件（即电容器和电感）的网络划分得到了人们的关注，但其数值稳定性受到仿真时间步长的限制。本文提出了一种基于小步综合模型的稳定性改进网络划分方法。首先，推导了基于半隐式跨越式方法的网络划分公式。其次，提出了基于小步综合模型的网络划分方法。该方法通过对网络分区分支采用小步综合模型，提高了仿真的数值稳定性。最后，基于Lyapunov准则和谱半径分析，导出了时间步长和合成阶数的稳定边界。采用IEEE 14总线系统和风电场模型验证了所提出的方法。结果表明，该方法在不牺牲精度和效率的前提下提高了稳定性。

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引用次数: 0

Short-term frequency support strategy for grid-wide wind power integration via comprehensive utilization of independent and coordinated resources 独立协调资源综合利用的风电并网短期频率保障策略

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-03-01 Epub Date: 2026-03-03 DOI: 10.1016/j.ijepes.2026.111741

Yang Li , Zaiyu Chen , Yongyong Jia , Xiaobo Wang , Minghui Yin , Yun Zou

When a frequency event causes a significant drop in grid frequency, wind turbines (WTs) can provide short-term frequency support (STFS) by releasing their rotor kinetic energy. However, due to the wide-area distribution of the grid and the limitations in communication cost and reliability, there are certain difficulties in implementing the STFS strategies that rely on real-time communication to collect rotor speed information of WTs. This paper proposes an STFS strategy for grid-wide wind power integration via the comprehensive utilization of independent and coordinated resources. First, a unified form of STFS for WTs is designed based on a power-frequency function, which is derived from the optimal frequency trajectory defined by the power-time function. Then, the STFS strategy, parameter setting, and implementation for grid-wide wind power integration are proposed, which involves independent STFS WTs providing spontaneous support and coordinated STFS WTs implementing harmonized correction, aiming to optimize critical frequency dynamic indices under constraints of wide-area communication. Finally, the effectiveness of the proposed method is validated using an IEEE 39-bus system with five aggregated wind farms.

当频率事件导致电网频率显著下降时，风力发电机可以通过释放转子动能提供短期频率支撑。然而，由于电网的广域分布以及通信成本和可靠性的限制，依靠实时通信采集转子转速信息的STFS策略在实现上存在一定的困难。本文提出了一种独立资源和协调资源综合利用的全网风电一体化STFS策略。首先，基于功率-时间函数定义的最优频率轨迹导出工频函数，设计了WTs的统一STFS形式；针对广域通信约束下的关键频率动态指标优化问题，提出了独立STFS WTs自发支持和协调STFS WTs协调校正的全网风电并网STFS策略、参数设置和实现方案。最后，用一个IEEE 39总线系统对该方法的有效性进行了验证。

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引用次数: 0

Short-term power load forecasting and management based on quadratic decomposition and deep learning 基于二次分解和深度学习的短期电力负荷预测与管理

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-03-01 Epub Date: 2026-02-16 DOI: 10.1016/j.ijepes.2026.111690

Yibao Zhang , Liang Xu , Yan Hong , Dongdong Yang

Power load forecasting plays a critical role in ensuring the reliable and efficient operation of energy systems, supporting economic optimization and sustainable energy management. However, achieving high accuracy and strong scalability in forecasting models remains challenging. To address these issues, this paper proposes a power load forecasting framework that integrates multiple deep learning models. First, the Boruta algorithm is applied to perform comprehensive feature selection. Then, the original load data is decomposed using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN), and the resulting components are further divided into high- and low-frequency signals based on Sample Entropy, enabling more precise processing. For high-frequency components, Variational Mode Decomposition(VMD) is introduced for secondary decomposition to reduce complexity. Next, an Depth-separable Integrable Spatial Channel Attention Network(DSCAN) encoder enhances spatial feature extraction and optimizes channel utilization, while an Adaptive Wavelet Convolutional Network (AWC) combined with an Attention mechanism strengthens the model’s ability to capture meaningful information. Finally, a Temporal Convolutional Network (TCN) serves as the decoder to achieve accurate load forecasting. Case studies on datasets from two regions yield R2 values of 0.995 and 0.992, demonstrating that the proposed method achieves excellent forecasting performance.

电力负荷预测对于保证能源系统的可靠高效运行，支持经济优化和可持续的能源管理具有重要作用。然而，在预测模型中实现高精度和强可扩展性仍然是一个挑战。为了解决这些问题，本文提出了一个集成多个深度学习模型的电力负荷预测框架。首先，采用Boruta算法进行综合特征选择；然后，采用自适应噪声的完全集成经验模态分解（CEEMDAN）对原始载荷数据进行分解，并根据样本熵将得到的分量进一步划分为高频和低频信号，从而实现更精确的处理。对于高频元件，引入变分模态分解（VMD）进行二次分解，降低了复杂度。接下来，深度可分离可积空间信道注意网络（DSCAN）编码器增强了空间特征提取并优化了信道利用率，而自适应小波卷积网络（AWC）结合注意机制增强了模型捕获有意义信息的能力。最后，时序卷积网络（TCN）作为解码器实现准确的负荷预测。对两个区域的数据集进行实例分析，R2值分别为0.995和0.992，表明本文方法具有较好的预测效果。

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引用次数: 0

MW-level grid-source-storage-locomotive coordinated traction power supply system with segmented DC bus: analysis and experimental investigation 分段直流母线的兆瓦级网源蓄车协调牵引供电系统分析与实验研究

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-03-01 Epub Date: 2026-02-16 DOI: 10.1016/j.ijepes.2026.111655

Guotao Cao , Mingli Wu , Wenyu Wu , Qiujiang Liu , Tingting He , Peng Peng , Liang Hu

To achieve a green and clean traction power supply system (TPSS) in electrified railway, a MW-level grid-source-storage-locomotive coordinated TPSS (GSSL-CTPSS) based on segmented DC bus is proposed. Universal compatibility with all existing AC TPSS is achieved by the GSSL-CTPSS, and the integration of green energy (renewable energy and energy storage systems) is integrated without modification to the original infrastructure. Dynamic topology reconstruction and smooth scenario switching operation are achieved through the proposed topology and operating principle. A multiplex compensation multiple quasi-proportional resonance control strategy is proposed to suppress grid-connected current harmonics and compensate for control delays. Using the impedance-based method, the stability of the GSSL-CTPSS is analyzed. Typical operational scenarios of GSSL-CTPSS are established based on field test data, and the validation is conducted through a high-fidelity simulation and a full-power StarSim hardware-in-the-loop experiment test. The simulation and experimental results demonstrate that the proposed GSSL-CTPSS exhibits superior performance in terms of robustness, power response, current tracking, and harmonic suppression. Specifically, the phase margin has been increased by 43.51°, the dynamic response stability time is within 20 ms, and the total harmonic distortion of the current can be reduced by about 3% to 12%.

为实现电气化铁路绿色清洁牵引供电系统，提出了一种基于分段直流母线的兆瓦级网源蓄车协调牵引供电系统（GSSL-CTPSS）。GSSL-CTPSS实现了与现有所有交流TPSS的普遍兼容，并且在不改变原有基础设施的情况下集成了绿色能源（可再生能源和储能系统）。通过所提出的拓扑和工作原理，实现了动态拓扑重构和平滑场景切换操作。为了抑制并网电流谐波并补偿控制延迟，提出了一种多重补偿的准比例谐振控制策略。采用基于阻抗的方法对gsl - ctpss的稳定性进行了分析。基于现场试验数据，建立了gsl - ctpss的典型作战场景，并通过高保真仿真和全功率StarSim硬件在环实验测试进行了验证。仿真和实验结果表明，所提出的gsl - ctpss在鲁棒性、功率响应、电流跟踪和谐波抑制方面具有优异的性能。具体而言，相位裕度提高了43.51°，动态响应稳定时间在20 ms以内，电流总谐波失真可降低约3% ~ 12%。

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引用次数: 0

A novel consensus-based control method for SoC balancing of distributed energy storage systems in isolated AC microgrids 基于共识的隔离交流微电网分布式储能系统荷电平衡控制方法

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-03-01 Epub Date: 2026-02-15 DOI: 10.1016/j.ijepes.2026.111692

Amirhossein Solat , G. B. Gharehpetian , Mehdi Salay Naderi , Amjad Anvari-Moghaddam

The use of Energy Storage Systems (ESSs) in Microgrids (MGs) is rapidly evolving. ESSs play a crucial role in balancing power supply and demand within MGs, and they can be implemented either centrally or in a distributed manner. Given the dynamic nature of MGs, it is essential to manage the charging and discharging processes of ESSs in a coordinated way, a practice known as State of Charge (SoC) balancing. This paper presents a novel consensus-based control method for SoC balancing of distributed ESSs (DESSs), efficient power sharing, and voltage and frequency regulation in MGs. The control method operates in two layers. In the primary layer, current control, bus voltage adjustment, frequency regulation of the MG, and AC-modified droop control are implemented. In the secondary layer, a consensus algorithm is applied for SoC balancing and optimal power sharing among the ESSs. To closely mirror practical conditions, communication delays and noise on communication links between agents are also considered. Unlike previous studies, the test system topology is an isolated AC MG with DESSs. The proposed method is effective in maintaining proper SoC balancing, even under these conditions, and ensures the prevention of SoC imbalance.

储能系统（ess）在微电网中的应用正在迅速发展。ess在平衡mg内的电力供需方面发挥着至关重要的作用，它们可以集中实施，也可以以分布式方式实施。考虑到mg的动态特性，以协调的方式管理ess的充放电过程至关重要，这种做法被称为充电状态（SoC）平衡。本文提出了一种新的基于共识的控制方法，用于分布式ess的SoC平衡、高效的功率共享和mg的电压和频率调节。控制方法分为两层。在第一层，实现了电流控制、母线电压调节、MG频率调节和交流修正下垂控制。在第二层，采用共识算法实现SoC均衡和ess间的最优功率共享。为了更准确地反映实际情况，还考虑了智能体之间通信链路上的通信延迟和噪声。与以往的研究不同，测试系统拓扑是一个带dess的隔离交流MG。即使在这些条件下，所提出的方法也能有效地保持适当的有机碳平衡，并确保防止有机碳失衡。

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引用次数: 0

A robust wide-area traveling wave-based fault location scheme for UPFC-compensated transmission networks 基于upfc补偿传输网络的鲁棒广域行波故障定位方案

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-03-01 Epub Date: 2026-02-19 DOI: 10.1016/j.ijepes.2026.111677

Ali Savaei, Alireza Saffarian, Seyyed Ghodratolah Seifossadat, Mohsen Saniei

This paper proposes a novel wide-area fault location scheme based on the linear least squares method and graph theory for transmission lines. As the proposed method utilizes the initial arriving waves at substations, it is compatible with Flexible Alternating Current Transmission Systems (FACTS) devices. In the first step, the faulty zone is identified based on the time of arrival of the initial wave at each substation. The linear least squares method is then used to determine the faulted line and the fault location. The proposed method enhances prior approaches by (1) introducing a faulted line identification mechanism within the faulted zone, (2) estimating the fault location using a least squares approach, and (3) mitigating the impact of UPFC-induced wave distortions. The effectiveness of the method is validated in a sample 500 kV network using simulations for three different cases: (1) without a unified power flow controller (UPFC), (2) with a UPFC placed at a substation, and (3) with a UPFC at midline. The effects of various parameters, including fault resistance, fault type, fault occurrence time, sampling frequency, measurement errors, measurement noise, and loss of measurement data, are investigated. The results demonstrate that the proposed method accurately identifies the faulted line and precisely determines the fault location.

提出了一种基于线性最小二乘法和图论的输电线路广域故障定位方案。由于该方法利用了变电站的初始到达波，因此它与柔性交流传输系统（FACTS）设备兼容。在第一步中，根据初始波到达每个变电站的时间来确定故障区域。然后利用线性最小二乘法确定故障线和故障位置。该方法通过(1)在断裂带内引入断裂线识别机制，(2)使用最小二乘法估计故障位置，以及(3)减轻upfc引起的波畸变的影响，对先前的方法进行了改进。通过三种不同情况的模拟，在500千伏网络样本中验证了该方法的有效性：(1)没有统一的潮流控制器（UPFC）， (2) UPFC放置在变电站，(3)UPFC位于中线。研究了各种参数的影响，包括故障电阻、故障类型、故障发生时间、采样频率、测量误差、测量噪声和测量数据损失。结果表明，该方法能准确地识别出故障线路，准确地确定故障位置。

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引用次数: 0

Investigation of distribution transformer selection process based on micro-load profile modeling and classification 基于微负荷剖面建模与分类的配电变压器选型过程研究

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-03-01 Epub Date: 2026-02-18 DOI: 10.1016/j.ijepes.2026.111683

Hadi Norouzi, Hamideh Ghadiri

Distribution loads according to power demand value can be classified in many kinds that be need in various studies. Load profile is one of the factors that effect on transformer as demand suppling equipment in distribution system. Loads with same maximum power value base on profile changing, make difference residual life of transformers. In this paper have been proposed a new classification which defined micro-loads and by using proposed modeling of each types of introduced loads can generate profiles for residential, agricultural and industrial load types. Investigation of transformer behavior according to micro-load classification have been presented through three steps as proposed selection process method of transformer rating. Loss of life index have been determined for all load types and according to results the loads effects on transformer dynamic operation time and hotspot temperature have been calculated with considering of their classification. Results have realized different between load types on transformer hot spot value and loss of life and as results the utilization factor ratio.

根据电力需求值对配电负荷进行分类，可分为多种类型，以满足各种研究的需要。变压器作为配电系统的供电设备，其负荷分布是影响变压器性能的因素之一。最大功率相同的负载，由于外形的变化，导致变压器的剩余寿命不同。本文提出了一种新的分类方法，定义了微负荷，并通过对每种类型的引入负荷进行建模，可以生成住宅、农业和工业负荷类型的剖面。提出了基于微负荷分类的变压器性能研究的三个步骤，并提出了变压器额定值的选择过程方法。确定了各种负荷类型的寿命损失指数，并根据结果计算了负荷对变压器动态运行时间和热点温度的影响，并考虑了它们的分类。结果实现了不同负荷类型对变压器热点值和寿命损失的不同，从而实现了利用系数的不同。

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引用次数: 0