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"RURAL POWER"
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Study on Simulation Design of Typical Photovoltaic Grid-connected System for New Rural Power Grid
Along with the increasing speed of science and technology, the requirement for electric power development is also higher. We advocate both the rapid development of golden hills and silver mountains, and also the environmental protection and sustainable development of green rivers and green mountains. Therefore, the research and development and promotion of clean energy such as photovoltaic power generation are getting more and more popular. Due to the small capacity of the distribution network in rural areas, small load fluctuation and scattered characteristics, it is suitable to use photovoltaic power generation. The simulation experiment of different voltage levels connected to the grid is studied. The former stage uses the boost circuit controlled by Maximum Power Point Tracking (MPPT), and the latter stage uses the phase-locked loop to control the grid-connected voltage and current. The grid-connected 380V system adopts disturbance observation method for maximum power tracking, and the grid-connected 10kV and 35kV system adopts conductance increment method for maximum power tracking. In the design process, the MATLAB SIMULINK module is used to build a grid-connected model of photovoltaic power generation, to simulate the output power of the inverter. This design analyzes the overall structure of the grid-connected system of photovoltaic power generation, analyzes the process of distributed photovoltaic power generation into the rural distribution network, and provides a basis for the future design of rural photovoltaic power grid connection.
Journal Article
Capacity Demand Analysis of Rural Biogas Power Generation System with Independent Operation Considering Source-Load Uncertainty
With the greatly increased penetration rate of wind power, photovoltaic, and other new energy sources in the power system, the proportion of controllable units gradually decreased, resulting in increased system uncertainty. The biogas power generation system can effectively alleviate the pressure caused by source-load uncertainty in such high-permeability systems of new energy sources such as wind power and photovoltaic. Hence, from the perspective of the power system, this paper introduces a capacity demand analysis method for a rural biogas power generation system capable of independent operation amidst source-load uncertainty. To enhance the depiction of pure load demand uncertainty, a scene set generation method is proposed, leveraging quantile regression analysis and Gaussian mixture model clustering. Each scene’s data and probability of occurrence elucidate the uncertainty of pure load demand. An integrated optimal operation model for new energy and biogas-generating units, free from energy storage capacity constraints, is established based on the generated scenario set. Addressing considerations such as biogas utilization rate and system operation cost, a biogas storage correction model, utilizing the gas storage deviation degree index and the cost growth rate index, is developed to determine biogas demand and capacity. The example results demonstrate the significant reduction in gas storage construction costs and charging and discharging imbalances achieved by the proposed model while ensuring systemic operational cost effectiveness.
Journal Article
The boy who harnessed the wind
\"When a terrible drought struck William Kamkwamba's tiny village in Malawi, his family lost all of the season's crops, leaving them with nothing to eat and nothing to sell. William began to explore science books in his village library, looking for a solution. There, he came up with the idea that would change his family's life forever: he could build a windmill. Made out of scrap metal and old bicycle parts, William's windmill brought electricity to his home and helped his family pump the water they needed to farm the land. Retold for a younger audience, this exciting memoir shows how, even in a desperate situation, one boy's brilliant idea can light up the world. Complete with photographs, illustrations, and an epilogue that will bring readers up to date on William's story, this is the perfect edition to read and share with the whole family.\"--Provided by publisher.
Book
Analysis on the development of modern rural power grids with low carbon serving rural revitalization from the perspective of scientific and technological innovation
Abstract
Our country is a large agricultural nation where the development of rural areas holds paramount importance. To achieve rural revitalization, the development of electric power infrastructure is crucial. However, to ensure sustainable growth, attention must be directed towards low-carbon initiatives. With the continuous advancement of science and technology, rural power grids are steadily transitioning towards intelligent development, marking a significant stride in our nation’s power grid evolution. The establishment of smart grids can effectively address energy consumption issues in rural areas, simultaneously aiding in the reduction of energy usage and carbon emissions. Information technology, interactivity and automation are pivotal technical features characterizing the intelligence of rural power grids, leveraging technological advancements to drive the reform of modern rural power systems. This article intends to focus on optimizing low-carbon development within the ambit of intelligent rural power grid construction, alongside a comprehensive analysis of related developments. Such efforts aim to seamlessly integrate rural power development with a low-carbon economy, offering crucial insights and guidance for the sustainable growth of rural power grids. This endeavor contributes to the overarching objectives of rural revitalization and fostering a low-carbon economy.
Journal Article
The Application of Photovoltaic-Electric Spring Technology to Rural Power Grids
Rural power grids are essential for rural development, impacting the lives of farmers, the agricultural economy, and the overall efficiency of agricultural production. To ensure the reliable operation of these grids, finding ways to provide high-quality power is imperative. In recent years, the penetration rate of distributed photovoltaic (PV) in the distribution network has been increasing. When the output of PV and load are not matched, the voltage fluctuation of the network affects the safe and stable operation of the distribution network. In this study, we propose that the stable operation of rural power grids can be achieved by employing a photovoltaic-electric spring (PV-ES) device. A state space model of PV-ES is established and a single PV-ES voltage control method, based on a PI controller, is proposed, taking a rural user household with a monthly power consumption of about 120 access to distributed power supply as an example. We analyzed the device’s effectiveness in addressing voltage fluctuation issues as well as how light intensity impacts its effectiveness. The implementation of the PV-ES device solves the most significant problem faced by rural power grids, namely, the unstable power supply that occurs during peak electricity consumption periods. In addition, the PV-ES device ensures a high-quality electricity consumption experience for consumers.
Journal Article
Minimizing System Entropy: A Dual-Phase Optimization Approach for EV Charging Scheduling
To address the electric vehicle (EV) charging scheduling problem in rural distribution networks, this study proposes a novel two-phase optimization strategy that combines particle swarm optimization (PSO) and Q-learning for global optimization and real-time adaptation. In the first stage, PSO is used to generate an initial charging plan that minimizes voltage deviations and line overloads while maximizing user satisfaction. In the second phase, a Q-learning approach dynamically adjusts the plan based on real-time grid conditions and feedback. The strategy reduces the system’s entropy by minimizing the uncertainty and disorder in power distribution caused by variable EV charging loads. Experimental results on a 33-bus distribution system under baseline and high-load scenarios demonstrate significant improvements over conventional dispatch methods, with voltage deviation reduced from 5.8% to 1.9%, maximum load factor reduced from 95% to 82%, and average customer satisfaction increased from 75% to 88%. While the computation time increases compared to standalone PSO (66 min vs. 34 min), the enhanced grid stability and customer satisfaction justify the trade-off. By effectively minimizing system entropy and balancing grid reliability with user convenience, the proposed two-phase strategy offers a practical and robust solution for integrating EVs into rural power systems.
Journal Article
Study on Comprehensive Efficiency Evaluation of Rural Power Grid under Rural Revitalization Strategy Considering Regional Differences
As an essential infrastructure, the rural power grid is vital in promoting agricultural and rural carbon sequestration and improving rural energy electrification. It is necessary to carry out in-depth research on its comprehensive efficiency. Based on the requirements of “double carbon” and rural revitalization strategy for the rural Power Grid, this paper focuses on the modernization and low-carbon transformation of the rural Power Grid. It constructs an input-output index system for the investment efficiency of the rural Power Grid in China under the new situation. It uses the primary data of the rural Power Grid of 30 prefecture-level cities in China from 2019 to 2021 to evaluate the investment efficiency of the rural Power Grid in China through a three-stage DEA model. The empirical results show that: considering the regional differences, the comprehensive efficiency of the rural Power Grid in backward areas is significantly improved; that is, the three-stage DEA method can more objectively evaluate the comprehensive efficiency of the rural Power Grid. In the context of the continued promotion of the rural revitalization strategy, to improve the comprehensive efficiency of the rural Power Grid, it is necessary to improve the technical level of the rural Power Grid further and appropriately expand the scale of investment in the rural Power Grid.
Journal Article