Sizing of Energy Storage Systems for Output Smoothing of Renewable Energy Systems

光伏、风力发电等可再生能源（renewable energysources，RESs）具有随机性、间歇性等特点。为了抑制RESs输出波动对电网的不利影响，提出了用于平滑RESs发电系统功率输出的储能系统（energy storage system，ESS）容量优化确定方法。利用离散傅里叶变换（discrete Fouriertransform，DFT）对RESs输出功率进行频谱分析，基于频谱分析结果，考虑ESS充放电效率、荷电状态（stateofcharge，soc）及RESs发电系统目标功率输出波动率的约束，确定所需ESS最小容量。采用美国华盛顿州实际观测风速数据及日本东北电力公司风电场接入电网20rnin有功功率波动规范（最大波动率为10％），在一风力发电系统中对该方法进行了验证。算例结果表明采用该方法能够以较小的容量将风机输出最大波动率由61．7％降到9．9％。

Modeling and Simulation of an Organic Photovoltaic Cell: ITO/MoO3/CARAPA/PCBM/Alq3/Al with SCAPS

Renewable energies are of major interest due to their inexhaustible and clean nature, with minimal impact on the environment. Numerous technological pathways exist in this field, each distinguished by the materials used and their implementation principles. However, the cost-efficiency ratio remains a significant challenge for researchers. Currently, organic materials are gaining popularity due to their relatively low cost. However, their performance, particularly in terms of conversion efficiency, still requires improvements. This study focuses on optimizing the organic photovoltaic cell ITO/MoO3/CARAPA/PCBM/Alq3/Al using SCAPS. Several parameters were considered, such as layer thickness, recombination center density, and doping, to improve the cell’s performance. The optimal parameters obtained include an efficiency of 3%, a fill factor of 81.67%, an open-circuit voltage of 1610 mV, and a short-circuit current of 2.28 mA/cm2. The study also revealed that doping the phenyl-C61-butyric acid methyl ester (PCBM) layer has a significant impact on efficiency and short-circuit current, improving these parameters up to a certain point before causing degradation due to increased recombination. Furthermore, high doping of the tri (8-hydroxyquinoline) aluminum (Alq3) layer improves performance up to a critical threshold, after which degradation is also observed. In contrast, doping the molybdenum trioxide (MoO3) layer does not have a notable impact on cell performance. Regarding the thickness of the active Carapaprocera (CARAPA) and PCBM layers, non-optimal values lead to a decrease in performance. Similarly, an optimal thickness of the Alq3 layer significantly improves efficiency. These results highlight the importance of parameter optimization to maximize the efficiency of organic solar cells.

Sketch of Renewable Energy Production Simulation Platform

Renewable Energy Production Simulation Platform (REPS) is developed by China Electric Power Research Institute (CEPRI) to simulate the operation of renewable energy in the power system. REPS takes into account the characteristics of China’s electric power system, it can assess the accommodation of renewable energy power and simulate the impact of different renewable energy capacity on the operation of power system. Assessment model and calculation process of REPS V1.3 is introduced in this article, and annual consumptive capacity in one provincial power grid of China is evaluated with the platform. REPS is of great guiding significance to electrical source planning. With the sustained and rapid growth of renewable energy in China, power system will be more and more dependent on REPS.

Performance Improvement of CIGS Solar Cell: A Simulation Approach by SCAPS-1D

Thin-film solar cells possess the distinct advantage of being cost-effective and relatively simple to manufacture. Nevertheless, it is of utmost importance to enhance their overall performance. In this research work, copper indium gallium selenide (CIGS)-based ultra-thin solar cell (SC) configuration (Ag/ZnO/ZnSe/CIGS/Si/Ni) has been designed and examined using SCAPS-1D. The numerical calculations revealed that this new design resulted in a substantial improvement in SC performance. This study explores the utilization of two absorber layers, CIGS and Si, both with a total of 2 μm thickness, to enhance device performance while reducing material costs, observing an increase in key SC parameters as the Si absorber layer thickness is increased, reaching a maximum efficiency of 29.13% when CIGS and Si thicknesses are set at 0.4 μm and 1.6 μm, respectively with doping absorber doping density of 1014 cm-3. Furthermore, we analyze the impact of variation in absorber and buffer layer thickness, as well as doping concentration, surface recombination velocity (SRV), electron affinity, series-shunt resistance, and temperature, on optimized CIGS SC parameters such as short-circuit current density (JSC), open circuit voltage (VOC), fill factor (FF), and power conversion efficiency (PCE). The findings yielded by the investigation offer significant elucidation regarding the fabrication of economically viable and highly efficient non-hazardous CIGS ultra-thin SC.

Impact of Renewable Energy on Carbon Dioxide Emission Reduction in Bangladesh

Economic growth and industrialization often default to a great dependency on fossil fuels (FF) to supply power needs. The carbon rich nature of FF combustion can impact global warming. Therefore, it is conducive to transition from FF to renewable energy (RE). The present study aimed to address if replacement of a single FF by RE can mitigate carbon emissions. We conduct the study in a country undergoing mass urbanization and challenging energy demands. Data from energy resources in the Power & Energy Sector Master Plan (PSMP2016;Bangladesh) are analyzed over the 2017-2021 trajectory. Two scenarios for imports, oil and coal are assessed. Environmental input output (E-IO) analysis and percentage equivalence analysis measured data variables. The data is then further disaggregated into an emission reduction (ER) model with sensitivity analysis to measure carbon emission reduction when each FF source is substituted by RE. Results show the percentage share of energy generation capacity by both coal and RE increase over time. Solar and wind power contribute to the increase in RE. When oil is imported a 1% increase in oil, coal, and gas-based energy generation capacity increases carbon emissions by 1.25%, 1.48% and 0.93%, respectively. 1% increase in RE produces negligible carbon emissions (0.0042%). There was little difference in the percentages of carbon emissions when coal is imported. Substituting any FF with RE of equal energy capacity does not, in the short term, reduce carbon emissions in either scenario. Therefore, we conclude that for long term clean energy prospects in Bangladesh, RE needs to be developed to operate at greater capacity in conjunction with other carbon management factors. The research findings herein offer insights for clean energy implementation in developing nations.

Assessing Asian Economies Renewable Energy Consumption Efficiency Using DEA with Undesirable Output

Along with vast non-fossil potential and significant expertise,there is a question of whether Asian nations are attaining efficient consumption and exploitation of renewable resources.From this perspective,the paper aims to evaluate the efficiency of 14 potential Asia countries in renewable energy consumption during the six-year periods(2014-2019).In analyzing the performance of the renewable energy sector,the data envelopment analysis(DEA)with an undesirable output model approach has been widely utilized to measure the efficiency of peer units compared with the best practice frontier.We consider four inputs and two outputs to a DEA-based efficiency model.Labor force,total energy consumption,share of renewable energy,and total renewable energy capacity are inputs.The outputs consist of CO_(2)emissions as an undesirable output and gross domestic product as a desirable output.The results show that United Arab Emirates,Saudi Arabia,Japan,and South Korea consistently outperform in the evaluation,achieving perfect efficiency scores during the research period.Uzbekistan is found to have the lowest average efficiency of renewable energy utilization.

Will Coal Price Fluctuations Affect Renewable Energy Substitution and Carbon Emission? A Computable General Equilibrium-Based Study of China

Changes in the energy price system will determine the direction of evolution of the energy industry structure.As a country where coal is the dominant energy source,what is the effect of coal price fluctuations on China’s industry development costs and energy consumption structure?To investigate this problem,this paper utilized an economy–energy–environment computable general equilibrium model.In this study,four aspects were analyzed:Energy supply side,proportion of renewable energy consumption,macroeconomy,and changes in CO_(2) emissions.The results of this study show that an increase of 10%–20%in coal prices contributes to a shift into using renewable energy,which leads to energy saving and emission reduction.Renewable energy and clean energy rose by 0.57%–4.47%in the energy structure,but this has a certain negative impact on the macroeconomy.The gross domestic product(GDP)fell by 0.07%–0.18%.As a result,the decline in coal prices became an obstacle to renewable energy substitution and energy conservation.In addition,we put forward policy suggestions according to the results in energy,economic,and environmental effects.

Assessment of the Energy Impact of Using Building Integrated Photovoltaic and Electrochromic Glazing in Office Building in UAE

The aim of this research was to explore the energy benefits and future potential of using Building Integrated Photovoltaic (BIPV) and Electrochromic Glazing (EG) within the climatic conditions of the city of Abu Dhabi. The Integrated Environmental Solutions (IES-VE) energy modeling software was used to assess the energy performance, mainly the reductions in HVAC and lighting, for different configurations and compare that to the base case scenario for south, east, west, and north facing facades. The results showed that the BIPV is most advantageous on the south fa?ade while the EC glazing performs best on the north facing windows. Moreover, the change in sensor location increased the energy savings for both cases, although the change was very marginal compared to the change of the glass properties. Using an automated light control system with dimming for both models, compared against the standard on-off lighting mechanism in the base case, the BIPV proves to have a higher total annual energy saving potential for most orientations, upto 33.5% while dynamic EC was best suited for the North orientation resulting in 7.4% reduction in the total annual energy consumption.

Simulation of Multi-source Electric Production and Energy Transfers in Sailing

The exclusive use of renewable energies is today an essential nautical concern. Nowadays, the onboard energy generation comes mainly from diesel oil, which is in user mind the simplest way. Our objective is to develop a self-adaptive management system of the onboard energy in order to change the user mind. We introduce models for energy production, storage and consumption that fit with the yachting environment, which is mobile and not as predictable as the home automation case. These models are combined within a configurable simulator. This simulator can handle user＇s boat equipment, reproduce sailing conditions and so help to validate the models and to study different management strategies. This first step is necessary to develop a smart system able to manage sailing energy in order to answer the main issue： assuring safety and optimizing comfort according to user demands.

A computational platform for considering the effects of aerodynamic and seismic load combination for utility scale horizontal axis wind turbines

The wide deployment of wind turbines in locations with high seismic hazard has led engineers to take into account a more comprehensive seismic design of such structures. Turbine specific guidelines usually use simplified methods and consider many assumptions to combine seismic demand with the other operational loads effecting the design of these structures. As the turbines increase in size and capacity, the interaction between seismic loads and aerodynamic loads becomes even more important. In response to the need for a computational tool that can perform coupled simulations of wind and seismic loads, a seismic module is developed for the FAST code and described in this research. This platform allows engineers working in this industry to directly consider interaction between seismic and other environmental loads for turbines. This paper details the practical application and theory of this platform and provides examples for the use of different capabilities. The platform is then used to show the suitable earthquake and operational load combination with the implicit consideration of aerodynamic damping by estimating appropriate load factors.

Optimal allocation method of energy storage for integrated renewable generation plants based on power market simulation

This study designs and proposes a method for evaluating the configuration of energy storage for integrated re-newable generation plants in the power spot market,which adopts a two-level optimization model of“system simulation+plant optimization”.The first step is“system simulation”which is using the power market simu-lation model to obtain the initial nodal marginal price and curtailment of the integrated renewable generation plant.The second step is“plant optimization”which is using the operation optimization model of the integrated renewable generation plant to optimize the charge-discharge operation of energy storage.In the third step,“sys-tem simulation”is conducted again,and the combined power of renewable and energy storage inside the plant is brought into the system model and simulated again for 8,760 h of power market year-round to quantify and compare the power generation and revenue of the integrated renewable generation plant after applying energy storage.In the case analysis of the provincial power spot market,an empirical analysis of a 1 GW wind-solar-storage integrated generation plant was conducted.The results show that the economic benefit of energy storage is approximately proportional to its capacity and that there is a slowdown in the growth of economic benefits when the capacity is too large.In the case that the investment benefit of energy storage only considers the in-come of electric energy-related incomes and does not consider the income of capacity mechanism and auxiliary services,the income of energy storage cannot fulfill the economic requirements of energy storage investment.

Control System Development and Test for the Operation of a Micro-Grid System—PART II

This paper presents experimental development and performance testing of an active power controller for stable and reliable operation of a micro-grid system. In order to achieve accurate and fast power balance in a micro-grid system that contains renewable energy sources, power in the system has to be regulated continuously. Such an objective can be achieved using droop based alternating current control technique. Because the droop characteristic employed into the developed controller initiates to determine the power deviation in the system which is continuously regulated by controlling the current flow into dump power resistors. The designed controller is tested and validated using a micro-grid prototype in the laboratory environment for stand-alone mode of operation under various operating conditions. The key development in the micro-grid prototype is the development of a wind turbine simulator. A dSPACE ds1104 DSP board is used to implement and interface the designed controller with the micro-grid system. The experimental investigation of the developed controller presents the significant capability to achieve continuous power balance in the micro-grid system, while it maintains stable and reliable operation of the system. Finally, the power quality of the isolated micro-grid system is presented and discussed under the operation of the developed controller.

计及随机变量相关性的多点线性化概率潮流计算

为满足考虑源荷双侧强不确定性场景的“双高”电力系统潮流分析计算需求,提出一种新型的概率潮流计算方法。基于核密度估计建立输入随机变量的概率分布模型,构建Copula函数刻画多维随机输入变量间的相关性,获取更加符合系统实际运行情况的样本数据。引入多点线性化潮流计算方法,在降低非线性潮流计算量的同时减小单点线性化潮流计算的截断误差。在IEEE-30节点系统上进行算例测试,验证所提方法的准确性和有效性。

基于模糊DEMATEL-超效率DEA的可再生能源发电技术综合效益评估方法

“双碳”目标下,各类可再生能源发电技术发展迅速,综合权衡不同可再生能源发电方案的综合效益对可再生能源的优化设计具有重要意义。综合考虑经济效益、环境效益、能源效益和社会效益4个层面,提出了一种基于模糊决策试验和评价实验(decision making trial and evaluation laboratory,DEMATEL)与超效率数据包络分析(data envelopment analysis,DEA)模型的可再生能源发电技术综合效益评估方法。该方法分为投入-产出指标体系构建和综合评估2个阶段。首先,利用三角直觉模糊数处理模糊评价信息,将其与DEMATEL相结合量化各指标之间相互影响关系,基于指标间逻辑分析结果建立投入-产出评估指标体系。然后,基于超效率DEA模型对各可再生能源发电方案进行评估排序,结合投入冗余和产出不足分析结果给出各方案的针对性改善建议,以期为进一步选择和确定可再生能源产业发展战略提供参考。最后以某省10类可再生能源发电单元为研究对象,基于所提研究方法进行综合评估和分析,并与多准则妥协解排序法和熵权法进行对比分析,验证了所提方法的有效性。

太阳能耦合地热能原油维温系统运行特性分析

原油静储期间受外界低温侵扰易发生凝罐事故,通常采用燃气锅炉对原油进行加热,但此加热方式存在能源消耗大、热效率低、污染高等问题。太阳能耦合地热能原油维温是一种可行方案,其通过利用时间互补、热量互补进行太阳能和地热能协同耦合,并采用瞬时系统模拟程序搭建太阳能-地热能联合原油维温系统,对系统运行特性进行分析。结果表明:运行周期内,浮顶油罐原油温度均高于设计静储温度,系统设计合理。全年供热量为11 977.2 GJ,太阳能集热器供热量占63.13%,地源热泵系统供热量占36.87%,一个运行周期后地下土壤平均温降0.54%。

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。

含铝炸药深水爆炸能量输出特性高精度数值模拟研究

在深水条件下含铝炸药爆炸不同于理想炸药,高静水压力会影响铝粉参与二次燃烧反应的速率,进而影响能量的释放过程.采用3阶MUSCL有限体积方法结合含铝炸药Miller能量释放模型,研究CL-20基含铝炸药在100~3 000 m水深梯度范围下随水深变化的爆炸能量输出特性.结果表明:爆炸冲击波能会随着水深的增加而不断减小;当水深超过200 m后,CL-20基含铝炸药中铝粉二次反应时间超过气泡周期,在第一个脉动周期内铝粉反应释放能量不充分导致根据气泡周期公式得到的气泡能偏小,气泡能也随着水深增加而减小,爆炸总能量不为定值.

考虑新能源随机性的新型电力系统图深度学习稳定指标概率分布评估模型

新型电力系统的新能源大规模随机性出力特点导致目前在线暂态稳定扫描结论面临失效风险,这一问题从元件建模精度、系统拓扑适应性和计算速度三个方面同时对现有方法提出挑战。因此提出了基于重概率化改进的置信带方法和图深度学习的稳定指标概率分布及置信带评估模型,通过图深度学习模型快速评估少量采样点,再由重概率化置信带方法扩增结果,利用标签共现知识引导时域仿真对准确率进行增强,最后使用置信带方法给出随机出力下的稳定概率分布和区间形式的评估结论。该方法优点在于利用了图深度学习的拓扑适应能力和快速计算特点,且不受元件建模精度限制,置信带计算结论具有可靠的理论背景,能够评估稳定概率分布。在IEEE-39和IEEE-300节点系统上的评估精度验证表明,所提方法能够高精度地预测指定方式暂态稳定指标,并给出可靠的概率评估结论。

水电高占比下风电接入对系统稳定性影响

随着绿色清洁高效能源基地的构建,以水电为主体的水风互补成为我国西南能源开发的重要特征。为研究在典型水电系统中接入风电对系统稳定性带来的影响,首先,针对水风互补系统以转矩分析法分析了风电接入对系统频率和功角稳定性的影响,并通过算例和Prony分析验证了风速与风电渗透率对系统稳定性的影响。结果表明,风电的接入在一定程度上可以削弱传统水电系统的超低频振荡,而风电接入互联送端系统会导致区域等值惯量的下降,进而使系统区域间低频振荡风险加剧。其次,考虑风电的接入会诱发区域间低频振荡,在风电系统中引入风电的附加综合虚拟惯性与阻尼控制。算例与Prony分析验证了该控制策略能有效提高系统稳定性。最后,在区域间大规模风电接入场景下,利用改进的鲸鱼算法对风电的附加控制器参数进行了优化;结果表明,参数的整定有效提高了系统的频率以及功角稳定性。

空气源热泵生物质锅炉联合供热系统应用性能模拟

为研究我国北方农村地区利用可再生能源生物质能与空气源热泵相结合的供热系统的实际应用性能,以沈阳市农村某小区建筑为案例,采用TRNSYS动态系统搭建空气源热泵与生物质锅炉联合供热系统仿真模型进行模拟研究。该系统通过时间模块调控采取两种控制策略,与单一的空气源热泵供热系统进行对比,并对这3种模式的系统运行特性进行分析比较。联合供热系统模式1整个采暖季平均耗电量较单一空气源热泵供热系统降低56%;平均制热性能系数提高0.19;可再生能源利用率和一次能源利用率分别增幅25.21%和63%,当供水温度45℃、生物质锅炉供热占比60%时总投资费用相对较低,空气源热泵与生物质锅炉联合供热系统运行更高效节能。