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.

Reinforcement Learning-Based Energy Management for Hybrid Power Systems:State-of-the-Art Survey,Review,and Perspectives

The new energy vehicle plays a crucial role in green transportation,and the energy management strategy of hybrid power systems is essential for ensuring energy-efficient driving.This paper presents a state-of-the-art survey and review of reinforcement learning-based energy management strategies for hybrid power systems.Additionally,it envisions the outlook for autonomous intelligent hybrid electric vehicles,with reinforcement learning as the foundational technology.First of all,to provide a macro view of historical development,the brief history of deep learning,reinforcement learning,and deep reinforcement learning is presented in the form of a timeline.Then,the comprehensive survey and review are conducted by collecting papers from mainstream academic databases.Enumerating most of the contributions based on three main directions—algorithm innovation,powertrain innovation,and environment innovation—provides an objective review of the research status.Finally,to advance the application of reinforcement learning in autonomous intelligent hybrid electric vehicles,future research plans positioned as“Alpha HEV”are envisioned,integrating Autopilot and energy-saving control.

Identification of High-Risk Scenarios for Cascading Failures in New Energy Power Grids Based on Deep Embedding Clustering Algorithms

At present,the proportion of new energy in the power grid is increasing,and the random fluctuations in power output increase the risk of cascading failures in the power grid.In this paper,we propose a method for identifying high-risk scenarios of interlocking faults in new energy power grids based on a deep embedding clustering(DEC)algorithm and apply it in a risk assessment of cascading failures in different operating scenarios for new energy power grids.First,considering the real-time operation status and system structure of new energy power grids,the scenario cascading failure risk indicator is established.Based on this indicator,the risk of cascading failure is calculated for the scenario set,the scenarios are clustered based on the DEC algorithm,and the scenarios with the highest indicators are selected as the significant risk scenario set.The results of simulations with an example power grid show that our method can effectively identify scenarios with a high risk of cascading failures from a large number of scenarios.

Steady-State Analysis of Grid-Connected New Energy Power Plants

In order to ease the fossil energy crunch,new energy sources need to be fully utilized.Clean energy sources such as wind,light,and nuclear energy are important tools to solve environmental and energy problems.However,in the process of researching new energy farms,there are some problems when they are integrated into the power system.In order to ensure the stability of new energy power plants,it is necessary to conduct an in-depth analysis of the grid connection technology of new energy farms.In the study,it is necessary to learn about the specific problems of the stability of the grid connection of new energy power plants,and to clarify the specific application of the grid connection technology of new energy power plants from the application principle and advantages of the grid connection technology of new energy power plants.Through simulation experiments,the positive effect of grid connection technology of new energy power plants in improving the stability of power systems was determined.

New power system development path mechanism design

Carrying out green energy transformation,implementing clean energy power replacement and supply,and developing a new power system are some primary driving forces needed to fulfill China’s carbon-peak and carbon-neutral strategic goals.The construction of new power systems in China’s provinces and cities is developing rapidly,and the lack of a typical model promotes the application.The new power system path design should be based on the actual development of the power grid in different regions,energy use characteristics,and other actual needs to carry out the differentiated path design.In this context,this study analyzes the characteristics of the new domestic power system based on the policy background of the new domestic power system,constructs a new model for power system development stage identification,and proposes the overall design of the new power system development path from the power supply,transmission and distribution,and load sides.It also uses the Hebei South Network as an example to explore the development stage of the Hebei South Grid based on actual development needs.Finally,this study designs a novel power system development path for the entire supply and demand chain for the Hebei South Grid to propose ideas for constructing a new power system in China and to help green energy transformation.

NEW PRINCIPLES OF WORK AND ENERGY AS WELLAS POWER AND ENERGY RATE FORCONTINUUM FIELD THEORIES

New principles of work and energy as well as power and energy rate with cross terms for polar and nonlocal polar continuum field theories were presented and from them all corresponding equations of motion and boundary conditions as well as complete equations of energy and energy rate with the help of generalized Piola's theorems were naturally derived in all and without any additional requirement. Finally, some new balance laws of energy and energy rate for generalized continuum mechanics were established. The new principles of work and energy as well as power and energy rate with cross terms presented in this paper are believed to be new and they have corrected the incompleteness of all existing corresponding principles and laws without cross terms in literatures of generalized continuum field theories.

Assessment on Fault Diagnosis and State Evaluation of New Power Grid:AReview

1 Introduction The proposal of the concept of“New Power System”aims to illustrate the transform direction of the traditional power system,acting as the development core of the future new power grid.To achieve this,the proposed strategic targets of“carbon neutralization and carbon peaking”must be implemented and insisted[1].The core feature of the new power system is that renewable energy plays a leading role and becomes the main source of energy supply,meanwhile,the goal of green energy utilization has also been put forward on the agenda.Green energy utilization includes two aspects,one is the exploitation and promotion of various green energy technologies,and the other is the digitalization of energy management.Under this trend,stochastic and fluctuating energy sources such as wind power and photovoltaic power replace deterministic controllable power sources such as thermal power,bringing challenges to power grid regulation and dispatching,as well as flexible operation.The large-scale integration of renewable energy and increasingly high proportion of power electronic equipment tend to bring about fundamental changes in the operation characteristics,safety control,and production mode of the power system.

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

从生命周期评价(LCA ) 的观点，各种新精力发电技术的发展，构造，和操作释放温室气体(GHG ) 排出物。这关于新精力发电技术的低碳的性质引发担心。基于国家、国际的文学评论，这份报纸与 LCA 途径在中国估计并且比较传统的热发电和新精力发电技术的 GHG 排放因素。新精力发电技术的 GHG 缓解潜力作为为在中国的传统的热发电的替换被评估开发计划，根据公民的新精力发电的目的。新精力发电的 GHG 排放因素是大部分的结果表演甚至与 LCA 财务，和新精力替换的 GHG 缓解潜力比传统的热发电的降低是巨大的。引证刘， S.-Q. ， X.-Q. 毛，高伊布，等， 2012：对在中国的新精力发电的温室气体缓解潜力的生命周期评价，评价和比较。副词。Clim。变化物件， 3 (3 ) ， doi：10.3724/SP .J.1248.2012.00147。

Discount Rate of China’s New Energy Power Industry

Under the dual pressures of energy crisis and environmental pollution,China’s new energy power industry has become a focal point for environmental management and requires greater investment.In this context,as a significant input of investment projects,discount rate requires a well-calibrated evaluation because new energy power investment projects are highly capital intensive.The main objective of this paper is to evaluate the discount rate of China’s new energy power industry.First,we use Moving Average to correct the parameters of capital asset pricing model(CAPM)and weighted average cost of capital,which extends the literature on the avoidance of CAPM noise information problem.Second,we study the industry-level annual discount rates of mainly China’s new energy power industries,including hydropower,nuclear power,wind power,and photovoltaic power industries for the period of 2014-2019.The results show that discount rates in China’s new energy power industries evolved differently between the years of 2014-2019 with average annual discount rates being 7.56%,5.83%,5.60%,and 8.64%,for the hydropower,nuclear power,wind power,and photovoltaic power industries,respectively.In 2019,the four annual discount rates were highest for the photovoltaic power industry(8.66%),followed by hydropower(7.17%),wind power(5.72%),and nuclear power industry(5.26%).Forecasting to 2020 from the 2019 evaluation base period,the discount rates are 6.37%,5.00%,6.57%,and 9.05%for the photovoltaic power,hydropower,wind power,and nuclear power industries,respectively.Under the different capital structures,their forecasts for the photovoltaic power,hydropower,wind power,and nuclear power industries in 2020 are,respectively,within[4.35%,9.24%],[3.92%,7.10%],[4.58%,10.40%],[5.46%,14.81%].We also discussed more details on capital structure and forecast period of discount rates for China’s new energy power industries.Our analysis shows that it is necessary to establish a new energy power industry database and steadily promote the implementation of policies.

基于Power BI的隆基绿能财务分析可视化问题探析

大数据时代背景下,企业业务数据不仅结构复杂而且数量庞大。如何获取有效数据并以可视化形式呈现企业经营管理决策所需的信息,已经成为企业关注的重点。文章研究隆基绿能财务分析可视化现状,找出其财务分析可视化过程中显现的业务问题和信息技术问题,并提出了利用Power BI优化隆基绿能财务分析可视化的思路及建议,以期为其他企业提供参考。

Research on New Compressed Air Energy Storage Technology

In recent years, wind power generation and photovoltaic power generation have been developing rapidly, and the installed capacity of the new resources generation has been keeping a fast growth every year. But with the incorporation into the grid, the new resources generation that has the properties such as randomness and volatility causes certain risks to the power grid, which results in the falling of the incorporation proportion instead of rising. This paper describes the current status and development problems of the new energy in China, and gives a brief introduction of characteristics of various energy storage technologies. This paper focuses on the analysis of the compressed air energy storage technology in recent years and new developments and the latest technology at home and abroad, additionally, the paper introduces a new concept of the compressed air energy storage system.

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.

Optimal Configuration Method for the Installed Capacity of the Solar-Thermal Power Stations

Because of the randomness of wind power and photovoltaic(PV)output of new energy bases,the problem of peak regulation capability and voltage stability of ultra-high voltage direct current(UHVDC)transmission lines,we proposed an optimum allocation method of installed capacity of the solar-thermal power station based on chance constrained programming in this work.Firstly,we established the uncertainty model of wind power and PV based on the chance constrained planning theory.Then we used the K-medoids clusteringmethod to cluster the scenarios considering the actual operation scenarios throughout the year.Secondly,we established the optimal configuration model based on the objective function of the strongest transient voltage stability and the lowest overall cost of operation.Finally,by quantitative analysis of actual wind power and photovoltaic new energy base,this work verified the feasibility of the proposed method.As a result of the simulations,we found that using the optimal configuration method of solar-thermal power stations could ensure an accurate allocation of installed capacity.When the installed capacity of the solar-thermal power station is 1×106 kW,the transient voltage recovery index(TVRI)is 0.359,which has a strong voltage support capacity for the system.Based on the results of this work,the optimal configuration of the installed capacity of the solar-thermal power plant can improve peak shaving performance,transient voltage support capability,and new energy consumption while satisfying the Direct Current(DC)outgoing transmission premise.

高比例新能源接入的主动配电网规划综述

新能源以分布式电源的形式接入配电网,给系统带来了不可控性、随机性和波动性问题。借助现代电力电子、信息通信及自动控制等技术,灵活可控的主动配电网成为发展趋势,其中主动配电网规划是近年来研究的热点之一。综合国内外在这一领域的研究成果,对主动配电网规划相关研究内容及其方法进行总结、分析及展望。对主动配电网基本结构进行了描述,介绍了配电网组成元素的特点;根据其控制变量的不同,对主动配电网规划模型进行了归类,总结了模型中的优化目标;针对常用模型求解算法及其优缺点进行分析、总结;通过对关键性问题的讨论,分析了未来主动配电网的发展趋势。

对天然气在新型能源体系中地位和作用的认识

当前全球能源利用以化石能源为主,各国能源加速向新能源演进,呈现出化石能源下降、可再生能源快速扩张、终端电气化水平提升、低碳氢使用增加四大发展趋势。全球天然气需求先增后降,增长动力主要来自发电和工业领域。中国能源需求较长时间内仍将保持增长态势,预计2030年中国一次能源消费将达到65亿吨标煤左右,2040年前后达到峰值后缓慢下降。中国天然气发展经历了管网建设拉动、政策拉动两个历史阶段,未来发展动能将主要来自“双碳”约束下的工业用能升级和气电与新能源的融合。新型能源体系构建中,天然气在各利用领域呈现差异化发展:在新型电力系统中发挥灵活性调节和应急支撑作用,促进风光可再生能源发展;在工业用能领域发挥补煤替煤作用,促进工业用能减污降碳协同增效;在城市燃气领域长期发挥基础能源作用,增进民生福祉;在交通领域发挥过渡性能源作用,助力陆上重卡和远洋船舶运输减污降碳;在化工领域对原料气起到补充作用,主要保障农业化肥生产需求。

中国新能源产业高质量发展:进展、挑战及对策

大力发展新能源是改善我国能源结构,保障国家能源安全,实现碳达峰碳中和美好愿景的必然选择。一方面,新能源的大规模开发利用,可以有效减少对传统化石能源和进口能源的依赖,降低环境污染和温室气体排放,为经济社会发展提供绿色低碳且可持续的能源支撑。另一方面,新能源产业属于我国新质生产力,代表着科技革命和产业变革的新方向、新趋势。新能源技术的发展和产业链的构建,可以有力地带动装备制造、科技研发、配套服务等相关产业的发展,促进技术创新和产业升级,培育新的经济增长点,对于我国加快产业结构优化升级、增强经济综合竞争力具有重要意义。

新能源发电系统控制技术研究

随着经济社会发展,人们用电需求在不断增长,需要将有限的电能资源进行合理利用,找寻新的发电技术和途径,新能源电力技术及控制技术需要得到新的发展。在发电、输电、配电及用电环节中,电力机制发挥着极为重要的作用,能够组建起电能生产与消费的一体化环节。可以运用发电装置将自然界中的可再生能源转变成为电能,用户可以通过输电系统获得电能,给日常生活提供能量供应。传统发电方式难以大规模存储电能,需要控制电能输出方式。新能源发电与传统发电方式存在较大的差异性,新能源的发电输出功率是可控的。该文主要叙述新能源电力系统运行的基本特点,并说明电力系统的主要控制技术及控制策略,为后续新能源电力工程的顺利发展奠定强有力基础。

计及低电压穿越影响的感应电动机动态分群

随着新能源的大规模广泛并网,其对感应电动机动态等值建模的影响值得关注。该文提出了新能源电力系统中感应电动机动态分群新方法。分析了感应电动机与电网的交互作用,提出在现有基于感应电动机动态相似性分群的基础上,同时考虑机端电压动态相似性的分群可提高感应电动机动态等值精度。针对高比例新能源电力系统,研究发现感应电动机附近有新能源机组,且部分新能源机组在故障期间进入低电压穿越(LVRT)时,这些感应电动机动态特性具有显著差异。为此提出新能源电力系统中考虑感应电动机端口电压跌落深度的动态分群方法。算例分析表明,该文提出的兼顾感应电动机端口电压动态相似性以及端口电压跌落深度的分群方法具有较高的等值精度,且适应性强。

考虑实时备用率的中长时间尺度新能源发电备用的方法

在新型电力系统中,考虑到中长期时间尺度下新能源出力具有较强规律性,提出了中长时间尺度新能源纳入备用的实时备用率的确定方法。根据实时备用率将新能源可信出力纳入备用,建立多电源电力生产模型。所建模型以生产成本最小为目标函数,考虑电源运行成本、新能源弃电成本、切负荷惩罚成本及机组出力、功率平衡、逻辑变量等约束条件。采用时间迭代将中长时间生产模拟化简为短期优化问题,利用CPLEX求解。以改进IEEE-24节点系统作为算例,优化结果表明新能源电源采用实时备用率的方法纳入备用时,电力系统生产运行总成本更低;新能源渗透率越高,纳入新能源为备用的经济效益越明显;风电和光伏独立确定备用率时,备用成本和污染排放更低。

电力电子变压器参与配电网调压调频的应用研究

为提升配电网的稳定性,该文提出利用配电网电力电子变压器对配电网的电压和频率进行调节。通过电力电子变压器输入级进行配电网无功功率调节,利用母线电压下垂特性提出无功调节方法,并引入无功电流反馈以提高配电网电压质量和稳定性;同时,通过电力电子变压器输出级控制负载电压以调节配网有功功率,作为一次调频储备负载,从而在频率暂态期间减小频率偏差。通过对基于配电网电力电子变压器的调压调频控制方法进行实验验证,所提控制策略能改善配电网电压和频率质量,有效提升配电网的稳定性。