Line Voltage Research Articles

Transient Voltage Information Entropy Difference Unit Protection Based on Fault Condition Attribute Fusion.

Transient protection has the advantage of ultra-high-speed action, but traditional transient protection is susceptible to the influence of two fault condition attributes, namely, transition resistance and initial angle of fault, and there are the problems of insufficient sensitivity and insufficient reliability under weak faults. To this end, the propagation characteristics of high-frequency components of transient voltage in bus and line systems are explored, and a new method of unit protection based on the entropy difference in transient voltage information is proposed. In order to solve the problem of single-ended transient protection not being able to reliably distinguish line faults from bus faults and adjacent line first-end faults, the difference between the entropy of line voltage and the entropy of bus voltage was introduced as a fault characteristic. Aimed at the susceptibility of transient protection to the influence of fault condition attributes, composite fault characteristics containing fault attribute information were obtained by integrating fault characteristics with fault condition attributes to overcome the adverse influence of fault condition attributes on transient protection and improve the reliability of the protection. The algorithm solved 38.9% of the original cross-data, 36.1% of the false actions, and 6.1% of the rejected actions. Finally, the accuracy and reliability of the proposed algorithm were verified by extensive ATP-Draw simulation tests.

Non-isolated high gain DC-DC converter for PV-fed DC microgrid

ABSTRACT This paper presents a high-gain DC-DC converter for photovoltaic (PV) applications. The proposed high gain DC-DC converter employs two coupled inductors, a voltage-lift capacitor, and two diode-capacitor multiplier cells to achieve a voltage gain of 21.11. The novel hybrid gain extension mechanism was validated by testing a 300 W prototype converter. During experimentation, it yielded an output of 380 V from an 18 V DC input and switched at 50 kHz. Because the switches in the interleaved stage are operated at a duty ratio of 0.5, the input current is ripple-free, and the switch current rating is also reduced. Owing to the location, the voltage stress on the switches was only 10.5% of the output voltage. Due to the adopted gain extension mechanisms, the voltage stress on the diodes was also reduced. The output voltage of the proposed converter is regulated by implementing a closed-loop control. In practice, the converter exhibits a good dynamic response when the line voltage and load current are subjected to step changes. The availability of a common-ground point is an additional advantage. Furthermore, the significant features of the proposed converter were validated by comparing its key parameters with many state-of-the-art converters available in the literature.

WAVE INTERPRETATION AND NEURAL NET MONITORING OF NOISE IN VOLTAGE SIGNALS ON POWER LINES

Noise in voltage signals on power lines is determined by many factors. Therefore, at the standard sampling rate of signals in measuring instruments, it is considered, most often, to be Gaussian. At a high sampling rate, the noise is modulated, its distribution differs from the normal one. The analysis and control of its structure is of interest, for example, for damage diagnostics and determining the damage location. The purpose of the study is to show the possibility of neural network control of heterogeneous noise in voltage signals on power lines. Methods. Based on the wave analysis of signals in power lines, a noise model in industrial frequency voltage signals is described, which allows interpreting its modulation as a result of random spatial fluctuations in wave velocity. The control of noise heterogeneity over the harmonic signal period is carried out on the basis of a recurrent ANN in a sliding time window, the duration of which does not exceed 2 ms. Results. The noise model in power line voltage signals is proposed as a result of wave reflection from the wave velocity spatial inhomogeneities in the line. In the Born’s scattering approximation, noise is described by the simplest analytical formulas with random parameters. A neural network algorithm based on LSTM cells was tested on model signals recordings, which is used in a sliding time window and allows one to control the noise variance in units of percent of the industrial frequency signal amplitude. Estimates of the neural network algorithm accuracy are given. Conclusions. A comparison of the noise structure obtained using the proposed model with experimental signals recordings confirms the adequacy of the model at a qualitative level. The proposed neural network monitoring algorithm has high accuracy. The approach can be used to monitor the present state of power lines.

Study of the Influence of Electromagnetic Fields on the Corrosion of District Heating Pipelines

One of the primary indicators influencing the dependability of the district heating system system is the corrosion of the pipeline surface. This article presents the findings of measurements and tests conducted on the example of the heat supply system in our country. The effects of electromagnetic fields on the surface corrosion of heat pipelines located in the area intersecting with high voltage lines and along overhead power lines are discussed. In the contemporary era, ecological concerns, including those about electromagnetic ecology, have emerged as a significant area of focus within science, technology, and socioeconomics. The study of the impact of energy pollution factors has led to the development of electromagnetic safety norms and standards. However, there is a lack of unified norms and standards for electromagnetic ecological assessment at the current stage. The measurements indicate that the electric field strength is 0.38-32.33 V/m, while the magnetic field strength is 0.07-11.56 A/m. The voltage of the electric field is directly proportional to the voltage of the conductor. At the measurement point near the overhead power line (at a height of 1 m above the heat transmission line), the maximum voltage was 32.33 V/m. However, since the voltage of the magnetic field is directly proportional to the current running through the electric conductor, the current flowing through the conductor on the output of the extension generator had the highest value, resulting in the maximum magnetic field voltage of 11.56 A/m, which indicates that the measurement is accurate.

A five‐level nested neutral point‐clamped inverter topology

AbstractClassical five‐level nested neutral point‐clamped (5L NNPC) inverter‐leg is a hybrid of the flying‐capacitor and diode‐clamped 5‐L inverter‐leg configurations. Though uniform reduced voltage stress on the constituting switches is evident in 5L NNPC inverter‐leg, trails of the drawbacks of diode‐clamping concept still exist. Compared with the classical 5L NNPC inverter, the state‐of‐the‐art diode‐free 5L NNPC inverter involves no passive power switches and has low conduction losses. However, in this 5L NNPC inverter, two of the eight active switches have blocking voltage rating of 1/2 of the input voltage. Considering this limiting topological feature, an inverter‐leg for 5L NNPC inverter is presented in this paper. In the proposed 5L NNPC inverter‐leg, only one switch has voltage stress of 1/2 of the input voltage. This reduced voltage stress has inverter cost and loss implications. The performances and competitiveness of the 5L NNPC inverter were analysed in detail and demonstrated with a prototype. The blocking voltages of all the constituting power switches; profiles of the flying‐capacitor voltages; and FFT spectrum of line voltage waveform were experimentally obtained. Experimental deactivation and activation of the inverter's capacitor voltages balancing scheme were typified for varying modulation index values.

ANALYSIS OF PROCESSES IN CONVERTER WITH TWENTY-FIVE-ZONE VOLTAGE REGULATION AND ACTIVE-INDUCTIVE LOAD

Analysis of the electromagnetic processes is organized beside this article in electric circuit with semiconductor commutator. Mathematical model is created for analysis electro-magnetic processes in semiconductor converter with width pulsed regulation of the output voltage. The broughted graphs, which reflect the electromagnetic processes in electric circuit. Method much parametric functions was used when performing calculation. The mathematical model of the converter is created for fifteen zoned regulations of the output voltage. Article is devoted to the development of a method of multi-parametric modulating functions by means of working out of new mathematical models and definition of functions and the algorithmic equations for the analysis on sub-system components of electromagnetic processes in electric circuits of variable structure with sinusoidal, direct and pulsing voltage. Introduction of functions with discrete parameters in the algorithmic equations for analysis of processes in circuits with semiconductor commutators simplifies modeling on subsystem components. The mathematical model of steady-state processes and transients in electric circuits of semiconductor converters of modulation type with multi-channel zonal use of phase and line voltages of a three-phase network of power supplies is developed. The mathematical model of electric circuits of thyristor shapers of electro-discharge pulses for the analysis and the matching of capacitors charging modes with decrease several times of electric resistance of technological load is also created. The obtained results have a great value for development theoretical electrical engineering in a direction of simplification of calculations of electromagnetic processes in electric circuits with semi-conductor converters of the electric power. The Electromagnetic processes in electric circuit under width-pulse regulation possible to analyse with use the algorithmic equations multivariable function, which argument are a system parameters semiconductor commutator, signal of control, phases to network of the power supply and time. Introduction multivariable function with discrete parameter in algorithmic equations of the analysis formed and connecting processes in electric circuit of the variable structure allows to reflect change of this structure under system components, simplifying modeling and analysis of such processes to account of the generalization of the got equations. Except specified correlations and diagrams designed model allows to analyse forms of the output voltages and current of the separate power modules.

Electrostatic discharge protection of low-voltage circuits by forward characteristics of wide bandgap semiconductor Schottky barrier diodes

Abstract As a component protecting low-voltage (1–3 V) circuits against disturbance pulses such as electro-static discharge, we propose the application of the forward characteristics of wide bandgap semiconductor Schottky barrier diodes (SBDs). This concept was verified with β-Ga2O3-SBDs, which successfully kept the line voltage to 2.2–4.2 V for an input pulse voltage of 5–70 V with a rise time of less than 1 ns. This indicates that it is applicable for protection against nanosecond-level disturbance pulses.

Identifying distribution network line parameters and voltage angles by utilizing physical knowledge: A neural network approach

Identifying distribution network line parameters and voltage angles by utilizing physical knowledge: A neural network approach

An intelligent transformer enabled medium voltage AC network for loss minimization and node voltage improvement

Abstract The research work presented here discusses about design and integration of intelligent transformer (IT) to the 15 kV/0.4 kV overloaded distribution feeder in Wolaita Sodo Town. The feeder contains 113 distribution transformers with different capacities ranging from 50 kVA to 1250 kVA. The proposed intelligent transformer is a three-stage modular type using phase shift multicarrier modulations for MMC front end converter. Its middle stage is dual active bridge having input series output parallel (DAB-ISOP) configuration using a phase shift modulation. The smart transformer’s back end uses an MMC inverter using interleaved phase shift modulation. The distribution feeder is modeled in MATLAB/Simulink and the designed intelligent transformer is allocated to it using voltage stability index (VSI). The peak load data, feeder data and transformer data of the distribution system under study are obtained from the utility office. The existing distribution feeder’s performance was evaluated by using backward-forward sweep load flow simulation for peak loading condition. The line flows and voltage profile at all nodes were observed and candidate nodes for enhancement were identified. Placement of modular intelligent transformer by using voltage stability index (VSI) was conducted to improve the voltage profiles, minimize reactive power flows and losses. Based on the simulation results for base case scenario, total power loss of 936.5 kW is obtained. The minimum node voltage of 0.81PU and maximum reactive power flow of 10.9MVAr were observed for the base case simulation. Placement of intelligent transformer at weak node 67 and node 111 improves the node voltages to have a minimum value 0.965 PU and maximum value of 1.05PU. The total power loss is reduced to 511.5 kW (54.5% improvement) after integration of intelligent transformer

Distribution System Security Region with Energy Storage Systems

The high penetration of distributed energy resources (DERs) in distribution systems calls for advanced security management techniques. Hence, this paper proposes the model of the distribution system security region with energy storage systems (DSSR-ESS). The N-1 secure operation range of distribution systems integrating ESS is characterized. Further research reveals the effect and mechanism of ESS on the DSSR properties. Firstly, the ESS in distribution systems is clarified from the perspective of security, and the security service time and real-time security service capability are defined. Secondly, the DSSR-ESS model is formulated by: 1) selecting load and distributed generation (DG) as the state variables, 2) identifying the normal operation security and N-1 security scenarios, and 3) determining the complete security constraints. Then, to solve the time-varying and nonlinear N-1 DSSR-ESS model, an algorithm is developed. The analytical expressions of the region boundaries considering voltage constraints, line loss, and ESS SOC are further obtained. Finally, a modified IEEE-RBTS-BUS4 system and its expanded 104-node test system are used to verify the proposed model. Comparing with the existing research, the proposed DSSR-ESS model considers ESS. This paper concludes that ESS bidirectionally adjusts the power flow of its upstream branches, thereby expanding the security region both in positive and negative directions. But limited by state space boundaries and security boundaries unaffected by ESS, increasing ESS capacity may not lead to DSSR-ESS expansion. Based on this discovery, a sitting strategy for ESS is developed to expand the security region, which demonstrates the practical application of DSSR-ESS in the security management of distribution systems.

Extremely low frequency magnetic fields (ELF-MF) in Switzerland: From exposure monitoring to daily exposure scenarios

Exposure to extremely low frequency magnetic fields (ELF-MF) is ubiquitous in our daily environment. This study aims to provide a comprehensive overview of the ambient ELF-MF exposure in Switzerland and presents a novel environmental exposure matrix for exposure assessment and risk communication. Magnetic flux density levels (µT) were measured using a portable exposimeter carried in a backpack for the main ELF sources: railway power (16.7 Hz), domestic power (50 Hz), and tram ripple current (300 Hz). We collected ELF-MF levels between 2022 and 2024 in various environments representative of the Swiss population: 300 outdoor areas (e.g. city centres, residential areas), 245 public spaces (e.g. train stations, schools), 348 transport journeys (e.g. train, cars), and in 59 homes (e.g. bedrooms, living rooms). Over all environments, the highest ELF-MF exposure levels were measured in train stations (median: 0.48 µT), trains (median: 0.40 µT), and in living rooms near (<200 m) highest voltage lines of 220 kV and 380 kV (median: 0.37 µT). ELF-MF median levels measured two years apart showed high Pearson correlation coefficients in the same 150 outdoor areas (r = 0.88) and 86 public spaces (r = 0.87), without any significant changes. All measurements are well below the Swiss ambient regulatory limit based on the ICNIRP 1998 guidelines (median: 0.2 %). Finally, we derived an environmental exposure matrix and modelled 27 daily time-weighted average ELF-MF exposure scenarios by combining typical time spent at home, work and transport environments. People who do not live near highest voltage lines or work in highly exposed environments are typically exposed to less than 0.3 µT on average, while those who do are likely to exceed this level. This novel environmental exposure matrix is a useful tool for public communication and agent-based exposure modelling for future epidemiological research.

Aggregated vulnerability assessment of power transmission lines under operational and hurricane induced outages

Power transmission lines are at risk during extreme weather events and their outage can be disastrous for the power grid operation. Extreme weather event forecasting is not always precise, making it difficult to predict transmission line failures and the resultant consequences. These potential contingencies demand careful examination in power system planning. Conventionally, contingency ranking using operational performance indexes (PIs) based on line flows and voltage violations has been adopted. For a further in-depth reliability evaluation, weather-based uncertainties should be considered in conjunction with performance-based metrics. In this paper, a hurricane is considered as an extreme weather event. Multiple possible paths and intensities of the hurricane are simulated for the line wear-out stage to calculate a weather-based failure rate index (FRI). FRI states how much a particular line is affected by the hurricane and which line requires immediate attention. Finally, transmission line vulnerability rankings are generated through the unification of line operational performance and weather-based parameters. A fuzzy inference system calculates an aggregated vulnerability index based on the PI and FRI of the lines. The proposed model and techniques have been tested on IEEE 14-bus and IEEE 30-bus systems.

A 0.7‐V 7.4‐nW 6.4‐ppm/°C CMOS Subthreshold Voltage Reference With Temperature Compensation Circuit

ABSTRACTThis paper proposes a nanowatt voltage reference (VR) with temperature coefficient compensation. All transistors work in the subthreshold region. The complementary‐to‐absolute‐temperature (CTAT) voltage and proportional‐to‐absolute‐temperature (PTAT) voltage are mainly generated by two NMOS transistors with different threshold voltages. At the same time, a simple temperature compensation circuit is designed to optimize the temperature coefficient at high temperatures, so that the proposed VR circuit can generate a reference voltage with a wider temperature range and a lower temperature coefficient. The proposed VR circuit is implemented using a standard 0.18‐μm CMOS process with an active area of only 0.022 mm2. The postlayout simulation results show that the proposed VR circuit generates a reference voltage of 308.21 mV at room temperature. Its temperature coefficient is 6.4 ppm/°C over a temperature range of −40°C°C–140°C, with a power consumption of 7.4 nW. The voltage line sensitivity (LS) is 0.098%/V, and the power supply ripple rejection (PSRR) is −72 dB @DC and −42 dB @10 MHz.

Experimental Study of the Electric Efficiency and Current Leakage with Bzyb Based Protonic Ceramic Fuel Cell

Protonic Ceramic Fuel Cell (PCFC) is expected to be the next-generation fuel cell for its higher energy conversion efficiency and lower operating temperature. BaZrO3 based oxide are potential materials as PCFC electrolyte because they have high chemical stability under the CO2 conditions and high proton conductivity. In the NEDO of Japan project started from FY2020, we have developed to demonstrate operation at high fuel utilization and to improve durability. In the previous report, we evaluated the electric efficiency using a Φ60mm anode supported PCFC and investigated the effect of the fuel utilization on the terminal voltage by controlling the supply of the hydrogen to the anode gas. Then, we demonstrated that a BaZr0.8Yb0.2O3- δ (BZYb） based PCFC could be operated at a high Uf condition (i.e., Uf = 90%), and the maximum electric efficiency was 55% (DC).In this study, we compared the power generation efficiency between the cell with BZYb single-layered electrolyte and the cell with BaCe0.7Zr0.1Y0.1Yb0.1O3-δ (BCZYYb)/ BZYb double-layered electrolyte.Φ60mm anode supported PCFC was fabricated by tape-casting process used for the industrial production of ceramic electronic devices. NiO-BZYb anode slurry, BZYb electrolyte slurry and BCZYYb electrolyte slurry were prepared by mixing the powder, binder, solvents, and plasticizer. And then, these slurries were tape-casted respectively. The anode green sheets and the electrolyte green sheets were stacked and pressed. The anode–electrolyte half-cell was obtained by firing this laminate at 1400–1500ºC for 2 h. La0.6Sr0.4CoO3–δ (LSC) paste was applied to the surface of the half-cell by screen–printing, and then, fired at 950ºC for 2 h to form a cathode.Evaluation of the electric efficiency was conducted under the condition of 3% H2O–48.5% H2–48.5% N2 anode gas and 100% Air, which the hydrogen partial pressure in the anode gas was simulated for the methane reforming gas. Fuel flow rate was determined by Uf and the current density, for example, under Uf = 90% and i = 0.3 A cm–2 condition, H2 supply was calculated 36.9 cc min–1. Air flow rate was 264 cc min–1, which was the condition of Uair = 30% and i = 0.3 A cm–2. Electric efficiency was calculated by the following formula,η_DC = (V/(-ΔH/nF))×UfWhere, the n and F are the mole number and the Faraday constant, respectively. ΔH is the standard combustion enthalpy of hydrogen or methane. The value of -ΔH / nF is 1.24 V or 1.04 V in the case of hydrogen supply or methane supply respectively. In this study, 1.04 V was used for the value. V and Uf are the terminal voltage and the fuel utilization obtained by the experiment.Figure shows the cell performance at a current density of 0.3 A cm–2 under various fuel utilization (Uf) conditions. The figure also includes a theoretical voltage line calculated by Nernst equation used the PH2 in the anode outlet gas, PO2 and PH2O in the cathode outlet gas. The maximum electric efficiency of 62% (DC) was recognized at the Uf = 85%. To compare the BZYb single-layered electrolyte PCFC, the voltage drop at high Uf condition was larger in the case of BCZYYb/BZYb double layered electrolyte. To improve the cell performance may not necessarily lead to improve electrical efficiency, as the high cell voltage could be the result of the electron leakage due to the hole conduction in BaZrO3 based materials. Figure 1

Study on induced voltage of DC transmission lines and its influencing factors

Abstract To address the issue of induced voltage that may occur during the maintenance and repair of intersecting lines below ultra-high voltage ±800 kV DC transmission lines, which poses a threat to the safety of maintenance personnel, this paper analyzes the formation mechanism of induced voltage based on the principles of electrostatic fields. By modeling an actual ±800 kV transmission line and using EMTP simulation software, the variations in induced voltage were simulated under various factors such as voltage level, parallel line length, and soil resistivity. The simulation analysis results indicate that the electrostatic-induced voltage of DC lines increases with the voltage level, parallel running length, sag, soil resistivity, and the number of split conductors; it decreases with the increase of the distance from the center and the crossing angle; and it is essentially unaffected by the operating current. Therefore, the findings of this paper have significant practical value for the protection against induced voltage in future DC high-voltage transmission lines.

Power flow distribution identification via machine learning algorithm and distributed resource clearing method

Abstract Under the background of dual carbon, a large number of distributed new energy sources are connected to the demand side, which leads to great risks in the operation of the power system. As an effective solution, distributed power transaction still has problems, such as high clearing time, unknown low-voltage distribution network structure, and resource scheduling ignoring user needs. Therefore, this paper proposes an optimal regulation method of demand-side resources based on distributed transactions. Based on the historical operation data of the distribution network, the eXtreme Gradient Boosting (XGBoost) algorithm is used to study the relationship between node injection power, node voltage, and node-side line power flow. It is also used to check the results of distributed transactions and design a market mechanism for rapid clearing and settlement of distributed transactions. The results of an example show that the identification of power flow distribution in a distribution network based on reinforcement learning can meet the security check requirements of distributed transaction results.

Influence of fast switching fault current limiter on electromagnetic transient of extra-high voltage transmission line

Abstract The rapid advancement of power systems has led to an increase in short-circuit currents. The short-circuit current can be effectively limited by adding a fast-switching fault current limiter. However, incorporating a current-limiting reactor into ultra-high voltage lines may impact electromagnetic transients. This study utilizes PSCAD/EMTDC electromagnetic transient simulation software to develop a typical 330kV transmission line model for simulation analysis. The paper aims to study whether the current limiting reactor will affect the switching overvoltage in the automatic reclosing overvoltage. The results show that the input of the current-restricting transformer efficiently constrains the magnitude of short-circuit currents and exerts minimal influence on the automatic reclosing overvoltage in ultra-high voltage transmission lines.

Research Progress on Pole-Climbing Robots: A Review

Background: Pole-climbing robots are a type of application robot commonly used for quality inspection, cleaning, and maintenance of utility poles, high voltage lines, bridge cables, transmission pipelines, and other important facilities with a certain height. The working conditions are often harsh and dangerous, making manual participation unsafe. The pole-climbing robot can provide a platform for maintenance and cleaning work. Remote control operation of the pole-climbing robot is achieved through communication and control technology. It has been created to improve efficiency and reduce personnel accidents greatly. At the same time, the continuous development of science and technology has led to the expansion of robot design concepts. It has also brought about great changes and growth in the development of pole-climbing robots. Objective: The purpose of this paper is to report the latest progress in the research of pole-climbing robots from bionic and non-bionic perspectives and to provide a research reference for researchers in this field. Method: By analyzing academic theses and published patents, this paper presents a new classification of pole-climbing robots from the perspective of bionic and non-bionic. By summarizing the literature, the structural characteristics of various pole-climbing robots and their differences and applications are summarized. Results: The performance of the pole-climbing robots is analyzed from the viewpoint of structural characteristics and action execution methods. In turn, the characteristics of various types of pole-climbing robots are summarized. Finally, based on the above discussion, the future problems and development directions of pole-climbing robots are predicted. Conclusion: The pole-climbing robots can be divided into two categories, bionic and non-bionic, based on the analysis of design features. Both bionic and non-bionic pole-climbing robots have good development and applications in their respective directions. Also, bionic and non-bionic pole-climbing robots have different detailed classifications based on material, structure, and other perspectives. They have different advantages and disadvantages in terms of the performance of pole-climbing action execution. It provides a research reference for future researchers in this field.

Identification of transmission line voltage sag sources based on multi‐location information convolutional transformer

AbstractConventional methods for identifying voltage sag sources are difficult to categorize accurately due to the complexity of transmission lines and the influence of noise. In order to solve the problem of difficulty in recognizing voltage sag sources of transmission lines under different locations, this paper proposes a new method for transmission line fault diagnosis based on modified wavelet denoising and multi‐location information convolution transformer. The improved wavelet denoising method proposed in this paper solves the problems of discontinuity and bias of the traditional wavelet denoising method, and is able to better reconstruct the original voltage signal in a strong noise environment. In addition, multi‐location information convolution transformer adopts a new model combining multi‐location information convolution and multi‐scale convolution transformer, which realizes the combination of global information and local context information capturing ability under multi‐location faults. This paper validates the method through simulation experiments and practical situations, and the results show that the method can well classify and identify the type and location of voltage sag sources in transmission lines.

Hybrid Triboelectric‐Electromagnetic‐Electric Field Energy Harvester for Simultaneous Wind and Electric Field Energy Capture in High‐Voltage Transmission System

AbstractWith the development of smart grids, efficient condition monitoring of high voltage transmission system has become crucial, necessitating reliable power supplies for distributed sensors. Traditional energy harvesters often focus on either internal or external sources, limiting overall efficiency. This study introduces a triboelectric‐electromagnetic‐electric field hybrid energy harvester (TEE‐HEH) that synergistically integrates triboelectric nanogenerators (TENGs), electromagnetic generators (EMGs), and electric field energy harvesters (EEHs) to simultaneously capture electric field and wind energy. Electric field energy is harvested via displacement currents between transmission lines and the ground, while TENGs and EMGs efficiently capture low‐ and high‐speed wind energy, respectively, enabling broadband harvesting (2.3–10 m s−1). The synergistic combination of TENG, EMG, and EEH within the TEE‐HEH leads to significantly enhanced energy capture efficiency from multiple sources. At a wind speed of 5 m s−1, a transmission line voltage of 25 kV, and a distance of 1.5 m, the TEE‐HEH achieved peak power outputs of 18.5 mW (TENG), 262 mW (EMG), and 1.85 mW (EEH), demonstrating enhanced energy collection efficiency. An environmental monitoring system has been powered, demonstrating the TEE‐HEH's practicality for dual‐source energy harvesting in smart grid applications.