Research on the Application of New Energy Photovoltaic Power Generation Technology

With the rapid development of technology and economy,the demand for energy in society is increasing.People are gradually realizing that fossil energy is limited,and the development of new energy may also face situations where it cannot meet social needs.The problem of resource shortage is gradually exposed to people.Therefore,the development of usable new energy has become an urgent problem for society to solve.At present,electricity is the most widely used energy source worldwide and photovoltaic power generation technology is gradually becoming well-known.As an emerging industry,the development of photovoltaic power generation still requires continuous promotion by national and social policies to be extended to various industries and ensure the stability of its energy supply.This article mainly outlines the principles,characteristics,and advantages of photovoltaic power generation,and briefly explains the current technology types and application aspects of photovoltaic power generation to contribute to its promotion and better serve all aspects of social life with new energy.

Short-term prediction of photovoltaic power generation based on LMD-EE-ESN with error correction

Considering the instability of the output power of photovoltaic(PV)generation system,to improve the power regulation ability of PV power during grid-connected operation,based on the quantitative analysis of meteorological conditions,a short-term prediction method of PV power based on LMD-EE-ESN with iterative error correction was proposed.Firstly,through the fuzzy clustering processing of meteorological conditions,taking the power curves of PV power generation in sunny,rainy or snowy,cloudy,and changeable weather as the reference,the local mean decomposition(LMD)was carried out respectively,and their energy entropy(EE)was taken as the meteorological characteristics.Then,the historical generation power series was decomposed by LMD algorithm,and the hierarchical prediction of the power curve was realized by echo state network(ESN)prediction algorithm combined with meteorological characteristics.Finally,the iterative error theory was applied to the correction of power prediction results.The analysis of the historical data in the PV power generation system shows that this method avoids the influence of meteorological conditions in the short-term prediction of PV output power,and improves the accuracy of power prediction on the condition of hierarchical prediction and iterative error correction.

Application of Power Electronics Converters in Renewable Energy

Against the backdrop of global energy shortages and increasingly severe environmental pollution,renewable energy is gradually becoming a significant direction for future energy development.Power electronics converters,as the core technology for energy conversion and control,play a crucial role in enhancing the efficiency and stability of renewable energy systems.This paper explores the basic principles and functions of power electronics converters and their specific applications in photovoltaic power generation,wind power generation,and energy storage systems.Additionally,it analyzes the current innovations in high-efficiency energy conversion,multilevel conversion technology,and the application of new materials and devices.By studying these technologies,the aim is to promote the widespread application of power electronics converters in renewable energy systems and provide theoretical and technical support for achieving sustainable energy development.

Renewable energy power generation projects started construction in Tibet

On March 19, the construction of a 10-MW photovoltaic power plant and a 1 000-kW new type geothermal power generation project were started by Guodian Longyuan Group in Yanbajing Town, Dangxiong County of Tibet.

Life Cycle Assessment,Estimation and Comparison of Greenhouse Gas Mitigation Potential of New Energy Power Generation in China

From the perspective of life cycle assessment （LCA）, the development, construction, and operation of all kinds of new energy power generation technologies release greenhouse gas （GHG） emissions. This sparks concerns about the lowcarbon nature of the new energy power generation technologies. Based on national and international literature review, this paper estimates and compares the GHG emission factors of traditional thermal power generation and new energy power generation technologies in China with the LCA approach. The GHG mitigation potential of new energy power generation technologies as substitution for traditional thermal power generation in China was evaluated, according to the objectives of new energy power generation of the national development planning. The results show that the GHG emission factors of new energy power generation axe much lower than that of traditional thermal power generation even with LCA accounting, and the GHG mitigation potential of new energy substitution is huge.

Analysis of Current Research and Future Development Trends of Applying Solar Energy in Street Lighting

In the context of promoting green energy transition and addressing climate change globally,solar energy,as a clean and renewable energy source,has gradually become a hot topic for research.Solar streetlight systems realize energy self-sufficiency and environment-friendly lighting by integrating photovoltaic power generation technology and efficient LED lighting technology.By comprehensively analyzing the current status of the application of solar streetlights at home and abroad,this paper discusses its technical advantages,market penetration,and challenges in its development.In terms of technical characteristics,this paper focuses on analyzing the key technologies such as energy conversion efficiency and intelligent control systems of solar streetlights.

POWER GENERATION POTENTIAL OF BIPV APPLICATION IN CHINA

This paper discusses the potential and prospect of building-integrated photovoltaics (BIPV) for solar electrical power generation in China.The BIPV technology has been identified as the most economical renewable energy resource to contribute to world electrical energy demand for protecting environment from reduced fossil fuel consumption.The available solar energy resource of 14 cities and the potential power generation from PV claddings in buildings in China were estimated.The economical analysis of BIPV application is discussed.It is found that the potential is significant and the government should play an important role in its development.

Issues and Solutions for China's Photovoltaic Power Industry

Solar energy is an important renewable energy.Developing photovoltaic power will not only relieve the energy supply-demand contradiction and optimize the energy structure,but also help to restructure this industry.This paper analyzes the status quo and the development prospects of China's photovoltaic power industry and its existing issues,and puts forward some suggestions and solutions for its healthy and orderly development.

Hyperparameter Optimization Based Deep Belief Network for Clean Buses Using Solar Energy Model

Renewable energy has become a solution to the world’s energy concerns in recent years.Photovoltaic(PV)technology is the fastest technique to convert solar radiation into electricity.Solar-powered buses,metros,and cars use PV technology.Such technologies are always evolving.Included in the parameters that need to be analysed and examined include PV capabilities,vehicle power requirements,utility patterns,acceleration and deceleration rates,and storage module type and capacity,among others.PVPG is intermit-tent and weather-dependent.Accurate forecasting and modelling of PV sys-tem output power are key to managing storage,delivery,and smart grids.With unparalleled data granularity,a data-driven system could better anticipate solar generation.Deep learning(DL)models have gained popularity due to their capacity to handle complex datasets and increase computing power.This article introduces the Galactic Swarm Optimization with Deep Belief Network(GSODBN-PPGF)model.The GSODBN-PPGF model predicts PV power production.The GSODBN-PPGF model normalises data using data scaling.DBN is used to forecast PV power output.The GSO algorithm boosts the DBN model’s predicted output.GSODBN-PPGF projected 0.002 after 40 h but observed 0.063.The GSODBN-PPGF model validation is compared to existing approaches.Simulations showed that the GSODBN-PPGF model outperformed recent techniques.It shows that the proposed model is better at forecasting than other models and can be used to predict the PV power output for the next day.

Research of Thermal Energy Storage Technology in the Solar Thermodynamic Power

Recently, although renewable energy has a great development, primary source is still thermal power generation, which uses fossil fuel as the energy source. Supply and demand of fossil fuel are essential for social and economy development. However, development pattern that excessively relies on the natural source is impossible to provide a sustainable development way for us. As a result, we should combine renewable energy with new energy technology as the aim of economy. It means that it is urgent to exploit new energy. Meanwhile, the ratio of energy waste cannot be ignored. How to decrease energy waste is also significant. Construction sector costs a lot of energy, which is mainly used for heating and refrigeration. In the new energy generation technology, thermal energy can be transformed to electricity with combination of BIPV and thermal energy storage technology. Photovoltaic generation has a great progress in the building construction. As a result, the thermal energy storage technology becomes the key link in the production chain. In this paper, feasibility of applying phase-change material (PCM) in the thermal energy storage will be analyzed. And analysis results are provided with a relative mathematical model.

国有大型油气企业新能源发电项目经济评价探讨

国有大型油气企业基于减排降碳和可持续健康发展考量,积极探索新能源发电业务,投资项目经济评价方法和参数,成为影响新能源发电业务投资决策和高质量发展的决定性因素。基于经济评价基本原理,根据新能源发电项目技术经济特征,构建新能源发电项目经济评价方法和参数体系。折现现金流法仍然是新能源发电项目经济评价的主要方法,内部收益率和平准化度电成本是衡量项目盈利能力的重要指标。不同类型新能源发电项目经济评价方法具有较高的一致性,但应在投资构成、成本费用估算、收入与税金估算等方面体现差异,重点在营业收入估算中体现项目真正价值。在规制性配置储能要求以及储能收益政策有待落实的情况下,新能源发电项目效益有待提高,建议现阶段适当降低投资回报要求,尤其是出于市场拓展和协同发展目的的战略性新能源发电项目。项目电价和有效利用小时数对新能源发电项目的影响至关重要,应视情况合理选取参数。风光气电融合项目应分业务估算成本。国有大型油气企业应积极开展宏观配套政策和商业模式创新研究,以支撑新能源发电业务的高质量发展。

分布式新能源接入对电网的影响分析

分布式能源系统作为一种新型能源利用方式,比传统能源更高效环保,将在未来电力系统转型中扮演关键角色。鞍山供电公司通过开展分布式新能源用户调研、接入配电网分析及展望工作,对现有新能源用户经济效益、政策落实情况及规划设计、调度运行等方面存在的问题进行分析,进一步提升鞍山新能源管理和服务质量,引领带动建设鞍山供电公司的市级新型电力系统。

有限元法作为滩涂光伏阵列桩基设计计算方法的适用性研究

【目的】滩涂光伏电站的建设处于起步阶段,光伏阵列桩基在土建工程中占比很大,对投资有显著影响,目前承载力设计计算主要借鉴建筑行业规范,其适用性值得探讨。为改进滩涂光伏桩基设计计算方法,探索有限元方法对此的适用性,【方法】以既有滩涂光伏桩基设计方案为例,依据行业规范方法进行竖向、抗拔、水平承载工况复核计算,同时使用有限元超载法和强度折减法进行计算和分析。【结果】分析及对比结果显示:两类方法所依据的力学机理基本相同,计算得出的承载力规律一致,安全系数值接近,沉降值接近;竖向承载和抗拔工况,有限元法得出的安全系数略大于规范方法;水平承载工况,有限元法得出的安全系数略小于规范方法;对于滩涂光伏阵列桩基而言,竖向承载力安全系数最低,是承载力设计的控制工况;抗拔承载安全系数最高,远高于规范要求值,不是控制性工况;水平承载安全系数居中,有较充足的安全裕度,该工况容易满足要求。【结论】结果表明:有限元法计算能够生动展示桩基及支架的空间、过程和细部力学响应,有利于指导和改进设计,对滩涂光伏阵列桩基设计有良好的适用性;有限元法用于桩基承载力计算应优先使用超载法;滩涂光伏阵列桩基的承载特点和工作环境与建筑桩基不同,目前规范规定的竖向承载力安全系数偏保守,应适当放宽,对设计理论创新做出尝试,并合理地控制工程投资。

计及动态碳排放对新能源消纳市场的价格研究

通过丰富电力市场交易方式,可有效提高新能源消纳水平。针对现有电力市场无法有效控制碳排放的特点,提出计及动态碳排放的电力市场出清方法,将火电碳排放成本动态传导到电价中,从而使部分发电权向新能源转移。同时,当发生弃能时,对弃能机组引入价格因子替换报价,进行电力市场二次出清,深度促进新能源应发尽发,以激励相容机制平衡发电权转受让方收益。采用改进的IEEE 30节点系统进行仿真验证,提出的电力市场交易机制能有效降低火电机组的碳排放并促进风光消纳,验证了该方法的有效性。

机动式光-油综合能源系统设计研究

利用新能源供电的可移动供电系统是未来能源模式的必然发展趋势,针对外场工作对能源持续供给与灵活用能的需求,开展了机动式光-油综合能源系统研究。该系统以光伏发电为主,柴油机为辅,利用电智能DC/DC-储能模块构建智能互联电能源系统网络,采用分布式协同控制策略,引入多智能体系统思想,设计主、被动容错控制方法,实现交流耦合电压稳定控制,最终形成光-油-储智能互补综合能源系统,并通过仿真测试验证了本方案的有效性和可行性。该研究结果可以极大地提高供能效率,延长供能时间,提供稳定可靠的供电保障,提高了外场作业的机动性和持续性,提高了电能源可移动支配能力,有望推动我国相关外场作业在新能源领域的发展,也为今后信息-能量一体化奠定理论基础。

基于变速抽蓄的新能源送端电网能量平衡优化控制方法研究

针对高比例新能源与抽水蓄能联合发电的送端电网协调关系复杂可能导致新能源消纳能力不足的问题,文章提出基于变速抽蓄的新能源送端电网能量平衡优化控制方法。首先,研究变速抽水蓄能机组的运行特性,分析基于变频器控制的变速抽水蓄能机组有功无功输出特性;其次,对变速抽蓄提升新能源发电能力进行分析,建立新能源送端电网能量平衡优化模型;再次,对量子粒子群算法进行改进,提出新能源送端电网能量平衡优化控制算法;最后,参考西北某地区的新能源基地外送模式,构建变速抽水蓄能电站以及常规抽水蓄能电站与新能源配合的典型场景,对比分析变速抽水蓄能电站与常规抽水蓄能电站提升新能源消纳的能力。仿真结果表明,基于变速抽水蓄能的送端电网能量平衡优化控制方法能够提高新能源利用率,可显著提升新能源的消纳水平。

光储接入牵引供电系统应急供电方案下低频稳定性研究

“双碳”目标背景下,新能源较大规模接入牵引网可能成为铁路运输新趋势。为对意外失电的列车紧急牵引并打破铁路领域传统用能壁垒,实现铁路能源自给型低碳供电并与电网互为备用,各系统能量互联互通,首次提出一种应急供电方案灵活利用牵引网侧接入的光储装置牵引列车并对“光-储-车网”耦合系统的低频稳定性展开研究。首先,制定RPC双模式单相全桥逆变器的控制方法结合光储运行状态协调控制策略划分工作模态;然后,利用小信号及状态空间平均法建立光储、客车(CRH3型动车)以及投影到dq坐标系下铁路功率调节器直流侧阻抗模型;最后,利用所得“光-储-车网”3个子系统的导纳模型,引入一种适应多工况的无源判据,揭示控制器参数及多源对牵引供电系统电气稳定性的影响规律。研究结果表明:所提方案通过新能源及储能装置在昼夜多工况下均能长时持续稳定牵引列车,当新能源或电网供电出现意外二者可互补切换,故障条件下机车仍可受电稳定行走。此外,光储电压环比例增益对该系统阻抗匹配性稳定性有较强的电气敏感性,所建模型结合无源判据指导调参接入不同供电源补偿系统阻抗可治理部分失稳现象,该方案下储能系统具有良好的补偿特性。在Starsim半实物实验平台验证了“光-储-车网”耦合系统应急供电方案的可行性及稳定性研究的正确性。

新能源光伏发电助力建筑电气节能减排探讨

详细阐述了新能源光伏发电技术的工作原理与部件构成,指出了新能源光伏发电系统的节能性与环保性。同时,分析了将新能源光伏发电系统应用于建筑电气节能减排中的应用场景及优点,并提出了具体的应用措施与注意事项;强调了在建筑电气设计中嵌入光伏发电系统,利用并离网工作模式提高电能调度灵活度,配合使用节能型、智能型电气设备,能够推动建筑行业能源结构转型升级,向绿色、低碳、环保、降耗等可持续方向发展。

西北新型电力系统先行示范体系探究

西北地区能源资源禀赋,是加快构建新型电力系统的排头兵,是实现全国“双碳”目标的主阵地。从西北地区“多煤富新”的资源优势、新能源为装机主体的电源布局、大外送格局的网架结构及当前西北电网新能源的高效利用情况来看,西北电网已具备新型电力系统体系雏形。但随着能源转型的稳步推进、沙戈荒大型风光基地等国家重点项目的落地,西北电网“三高双随机”的特征愈加凸显,西北新型电力系统体系建设仍面临着巨大挑战。该文分析了现阶段西北新型电力系统体系建设在电力保供、新能源高效利用、电网安全面临的挑战,以问题为导向,系统性阐述了保供电、促转型、保安全“三位一体”的西北新型电力系统先行示范体系建设研究和创新实践,并提出了策略性发展建议与展望。

长庆油田分布式光伏项目创新与实践

随着国家“双碳”目标持续推进,长庆油田大力推进绿色低碳转型发展,探索建立新能源与油气井站融合发展模式。利用油气田井场、站点剩余空间建设分布式光伏,为油气设备设施供电。长庆油气田研究制定分布式光伏发展规划,创新技术路线,加强分布式光伏与工艺制度变革、油井提高采收率、提高终端电气化率间的融合发展。项目组织实施中,与专业设计单位合作推进设计标准化,严格落实层级监督、属地监管,施工建设市场化;运行管理中,加强数字化平台建设、光伏组件清洁管理、巡检和故障处置。2022年建成井站分布式光伏56MWp,2023年发电小时数1463h,发电量7692×10^(4)kW·h,节约电费4231万元,效益显著。