Evaluation of development potential of pumped hydroelectric storage and geothermal utilization system in abandoned coal mine

Every year in China,a significant number of mines are closed or abandoned.The pumped hydroelectric storage(PHS)and geothermal utilization are vital means to efficiently repurpose resources in abandoned mine.In this work,the development potentials of the PHS and geothermal utilization systems were evaluated.Considering the geological conditions and meteorological data available of Jiahe abandoned mine,a simple evaluation model for PHS and geothermal utilization was established.The average efficiency of the PHS system exceeds 70%and the regulatable energy of a unit volume is over 1.53 kW·h/m^(3).The PHS system achieves optimal performance when the wind/solar power ratio reaches 0.6 and 0.3 in daily and year scale,respectively.In the geothermal utilization system,the outlet temperature and heat production are significantly affected by the injection flow rate.The heat production performance is more stable at lower rate flow,and the proportion of heat production is higher in the initial stage at greater flow rate.As the operating time increases,the proportion of heat production gradually decreases.The cyclic heat storage status has obvious advantages in heat generation and cooling.Furthermore,the energy-saving and emission reduction benefits of PHS and geothermal utilization systems were calculated.

Reliability Assessment Considering the Coordination of Wind Power, Solar Energy and Energy Storage

风光储联合发电系统并网后必须采取策略与系统之间实现协调调度与运行才可在保证可靠性的前提下最大化利用可再生能源，但现有的可靠性评估中还缺少对大规模风光储联合发电系统协调运行的考虑。针对此问题，基于序贯蒙特卡罗仿真方法，建立了风电、光伏和储能系统的发电可靠性评估模型，并提出了新的协调调度策略。模型综合考虑了风速、太阳光辐照度、环境温度以及2种新能源发电技术的能量变换特性和储能系统的充放电约束等因素。这些模型被应用到IEEERTS79中，通过在Matlab中编制程序进行仿真计算，考察不同的协调运行策略、联合发电系统容量配置以及储能特性对于系统裕度的影响。评估结果可为联合发电系统并网规划与设计提供参考。

An Investigation of Battery Energy Storage Aided Wind-Coal Integrated Energy System

This paper studies the feasibility of a supply-side wind-coal integrated energy system.Based on grid-side data,the load regulation model of coal-fired power and the wind-coal integrated energy system model are established.According to the simulation results,the reasons why the wind-coal combined power supply is difficult to meet the grid-side demand are revealedthrough scenario analysis.Basedon thewind-coal combinedoperation,a wind-coalstorage integrated energy system was proposed by adding lithium-iron phosphate battery energy storage system(LIPBESS)to adjust the load of the system.According to the four load adjustment scenarios of grid-side instructions of the wind-coal system,the difficulty of load adjustment in each scenario is analyzed.Based on the priority degree of LIPBESS charge/discharge in four scenarios at different time periods,the operation mode of two charges and two discharges per day was developed.Based on the independent operation level of coal-fired power,after the addition of LIPBESS(5.5 MWh),the average qualified rate of multi-power operation in March and June reached the level of independent operation of coal-fired power,while the average qualified rate of the remaining months was only 5.4%different from that of independent operation of coal-fired power.Compared with the wind storage mode,the energy storage capacity and investment cost of wind-coal-storage integrated energy system are reduced by 54.2%and 53.7%,respectively.

An overview of the policies and models of integrated development for solar and wind power generation in China

Under the goal of “Carbon Emission Peak and Carbon Neutralization”, the integrated development between various industries and renewable energy(photovoltaic, wind power) is of great significance in China. This paper summarizes the relevant policies, integration schemes and typical cases of the integrated development between renewable energy and other industries. First, the development status of wind and solar generation in China is introduced. Second, we summarize the relevant policies issued by the National Development and Reform Commission, National Energy Administration and other departments to promote the integrated development in photovoltaic and wind power generation in China. Third, eight kinds of photovoltaic three-dimensional development models are described, including “photovoltaic + agriculture, industry, environmental protection, transportation, architecture, communication, hydrogen and ecology”. Fourth, eight kinds of wind power threedimensional development models are summarized, including “Offshore wind power + marine ranch, marine energy, marine tourism, marine oil and gas, hydrogen, communication, Energy Island” and “Onshore wind power+ courtyard”. In the future, the promotion and application of the above integrated development projects will be accelerated. This overview aims to provide reference for the design in photovoltaic and wind energy systems and help potential investors to make decisions.

Composition Modeling and Equivalence of an Integrated Power Generation System of Wind, Photovoltaic and Energy Storage Unit

利用间接组合建模的方法,在建立典型的双馈风机、光伏发电单元和储能单元的装置级机电暂态模型基础上,采用等值方法建立三者电站级的机电暂态模型,最终通过组合建模得到了风光储联合发电系统的机电暂态模型。在大型电力系统分析软件包的PSD-BPA暂态稳定程序中实现了风光储联合发电系统的仿真功能,通过典型算例和张北＂国家风光储输示范工程＂的仿真分析验证了模型的正确性,为风光储联合发电系统的并网研究提供了分析手段。

Optimal Sizing of Solar/Wind Hybrid Off-Grid Microgrids Using an Enhanced Genetic Algorithm

This paper presents a method for optimal sizing of an off-grid hybrid microgrid (MG) system in order to achieve a certain load demand. The hybrid MG is made of a solar photovoltaic (PV) system, wind turbine (TW) and energy storage system (ESS). The reliability of the MG system is modeled based on the loss of power supply probability (SPSP). For optimization, an enhanced Genetic Algorithm (GA) is used to minimize the total cost of the system over a 20-year period, while satisfying some reliability and operation constraints. A case study addressing optimal sizing of an off-grid hybrid microgrid in Nigeria is discussed. The result is compared with results obtained from the Brute Force and standard GA methods.

Integration of solar thermal and photovoltaic, wind, and battery energy storage through AI in NEOM city

NEOM is a“New Future”city powered by renewable energy only,where solar photovoltaic,wind,solar ther-mal,and battery energy storage will supply all the energy needed to match the demand integrated by artificial intelligence techniques.Within this context,the weight of solar thermal is supposed to increase.Concentrated solar power is the only renewable energy with the added value of dispatchability.Opposite to solar photovoltaic and wind,which suffer from intermittency and unpredictability,thus necessitating economically and environ-mentally expensive external energy storage by batteries,concentrated solar power may be fitted with internal energy storage by molten salt providing a much cheaper and environmentally friendly alternative.Oversizing the solar field and the thermal energy storage,the otherwise traditional design with steam Rankine cycles of temperature and pressure to turbine about 565℃ and 100 bar permits highly dispatchable electricity with Lev-elized Cost of Electricity(LCOE)slightly above 7.5¢/kWh in NEOM City,Kingdom of Saudi Arabia.By using higher temperature and pressure to the turbine of 730℃ and 330 bar,the LCOE can be further reduced to below 6.5¢/kWh.While wind and solar photovoltaic are much cheaper,at less than 3–4¢/kWh,their intermittency and unpredictability necessitate energy storage by Lithium-Ion batteries of additional cost 14–28¢/kWh.Likely,the integration of renewable energy technologies through Artificial Intelligence(AI)will be the New Future in NEOM City,with solar photovoltaic,wind,battery energy storage,and solar thermal,the building blocks,and solar thermal increasing the share of energy supply.

Optimal Coordinated Bidding Strategy of Wind and Solar System with Energy Storage in Day-ahead Market

Although wind and solar power is the major reliable renewable energy sources used in power grids,the fluctuation and unpredictability of these renewable energy sources require the use of ancillary services,thereby increasing the integration cost.This study proposes a wind,solar,and pumped-storage cooperative(WSPC)model that can be applied to large-scale systems connected to dispersed renewable energy sources.This model provides an optimized coordinated bidding strategy in the day-ahead market,along with a method to facilitate revenue distribution among participating members.This model takes advantage of the natural complementary characteristics of wind and solar power while using pumped storage to adjust the total output power.In the coordinated bidding strategy,a proportion of the energies is provided as firm power,which can lower the ancillary service requirement.Moreover,a multi-period firm power-providing mode is adopted to reflect the wind-solar output characteristics of each period accurately.The duration of each period is selected as a variable to accommodate seasonal characteristics.This ensures that the provision of firm power can maintain a high proportion under varied connected ratios of wind-solar,thereby obtaining higher revenue.By using the revenue distribution method,the short-term influencing factors of the cooperative model are considered to provide the economic characteristics of wind farms and photovoltaic stations.In this way,revenue distribution can be fairly realized among the participating members.Finally,the effectiveness and economy of the proposed model are validated based on actual data obtained from the power grid in California,USA.

Photo-rechargeable batteries and supercapacitors:Critical roles of carbon-based functional materials

As a clean and renewable energy source,solar energy is a competitive alternative to replace conventional fossil fuels.Nevertheless,its serious fluctuating nature usually leads to a poor alignment with the actual energy demand.To solve this problem,the direct solar-to-electrochemical energy conversion and storage have been regarded as a feasible strategy.In this context,the development of high-performance integrated devices based on solar energy conversion parts(i.e.,solar cells or photoelectrodes)and electrochemical energy storage units(i.e.,rechargeable batteries or supercapacitors[SCs])has become increasingly necessary and urgent,in which carbon and carbon-based functional materials play a fundamental role in determining their energy conversion/storage performances.Herein,we summarize the latest progress on these integrated devices for solar electricity energy conversion and storage,with special emphasis on the critical role of carbon-based functional materials.First,principles of integrated devices are introduced,especially roles of carbon-based materials in these hybrid energy devices.Then,two major types of important integrated devices,including photovoltaic and photoelectrochemicalrechargeable batteries or SCs,are discussed in detail.Finally,key challenges and opportunities in the future development are also discussed.By this review,we hope to pave an avenue toward the development of stable and efficient devices for solar energy conversion and storage.

Optimal Design of Grid-Connected Microgrid System for Cold Chain Logistics Centre in China

The growing interest in energy conservation has inspired companies to seek alternatives to highly polluting fuel electricity generation. This study designed an optimised solar wind power generation system to fulfil the energy requirement of a cold chain logistics centre. This study first conducted a thorough analysis of the clarity indicators and daily temperature positions of the cold chain logistics centre, determined the average daily electricity demand, and proposed an effective design scheme. The energy simulation software, RETScreen 8.0, was used to determine the scale of solar photovoltaic and wind power projects that meet the expected energy needs of the cold chain logistics centre. The results indicated that the estimated annual total energy demand was 833689.2 kWh. The annual power generation of 6 kW from solar photovoltaic projects and 150 kW from wind power projects was found to be enough to meet the expected electricity demand. Solar photovoltaic power generation and wind power generation account for 2.44% and 97.56%, respectively. The hybrid energy system achieved a 96.6% reduction in carbon emissions and provides a reasonable payback period of 6.1 years and an electricity generation of 904368.674 kWh per year. The feasibility of the project and the calculated period of investment return are very reasonable. Therefore, this hybrid renewable energy system provides reliable power by combining energy sources.

计及AA-CAES与PTC集成的综合能源系统运行优化与性能分析

为进一步发挥综合能源系统的多能互补优势,提出一种计及先进绝热压缩空气储能(AA-CAES)与槽式太阳能集热器(PTC)集成的综合能源系统(IES-PTC-CAES)优化运行策略。首先,对AA-CAES、PTC以及系统中其他设备进行分析并建立相应模型;进而以经济性、环保性和能效性为优化目标,以设备运行的关键参数为优化变量,基于分时电价建立了协同优化策略,并通过K-means算法将模拟出的典型年负荷聚类为典型日负荷;最终,使用并行式的遗传算法对系统进行寻优,得到不同目标下IES-PTC-CAES的最优运行策略。结果表明:与参考系统相比,IES-PTC-CAES系统经济目标下总成本降低了14.61万元,环保目标下二氧化碳排放量减少了6194.38 kg。

含整体煤气化燃料电池-碳捕集电厂的风火储系统分布鲁棒调度方法

整体煤气化燃料电池(integrated gasification fuel cell,IGFC)是与碳捕集技术高度适配的清洁、高效、稳定的绿色煤电技术,有望克服传统碳捕集技术在低浓度CO_(2)环境下产生的高成本、高能耗问题。该文构建含IGFC碳捕集电厂的风火储发电系统。研究IGFC碳捕集电厂的运行机理,对IGFC内部各环节建立数学模型,提出工况匹配时燃烧利用率和阴极空气利用率需要满足的运行条件,并针对该型碳捕集电厂的电碳特性进行分析。为计及风电出力的不确定性,构建风火储系统的两阶段分布鲁棒经济调度模型,引入k阶适应性理论,提出基于正交支撑子集策略的求解方法来获得鲁棒对等式。最后,在改进IEEE-30节点系统中进行算例分析,结果表明,该型碳捕集电厂可利用阳极碳富集的优势,实现系统低碳经济调度的目标,并验证所提优化方法能为可行解提供可解释性。

公路隧道风光水储互补发电系统容量配置研究

为降低公路隧道的电力运营成本,探究可再生能源互补发电系统在公路隧道的应用前景,研究合适的容量配置求解方法。建立利用风、光、水和储能设备的互补发电系统为公路隧道提供电力资源。以特长公路隧道(总长7.1 km)为估算模型,采用改进后的粒子群优化算法,即离散型自适应粒子群优化算法,以全生命周期的建设成本和设备维护成本最小为目标函数,以缺电负荷率(LPSP)和储能电池的状态为约束,对风力发电设备、光伏发电设备、水力发电设备和储能设备的最优容量配置进行求解。结果表明:1)对比标准粒子群算法,离散型自适应粒子群优化算法的总投入成本更少,寻优能力更强;2)对比该隧道1年的用电成本,前期投入将在5年内回本;3)在风光水储互补发电系统的设备全生命使用周期的20年内,该隧道可节省1 920.39万元电费。

风机与储能参与电网调频协调控制技术综述

风机自身的调频能力有限,已无法满足电网调频需求。储能的柔性控制、吞吐容量大以及响应速度快等特点可以弥补风机的不足,适合形成风储联合系统参与电网的调频控制。通过对储能与风机参与电力系统调频的原理和控制策略进行的详细梳理,介绍了储能参与调频的原理、特点以及储能的调频模型与控制策略,对不同类型以及混合储能系统的调频特点与效果进行分析;接着对风机的调频原理及不同控制策略进行阐述,以风机分别以变桨控制、转子动能控制和联合控制方式进行分类。最后对本领域的现状和未来发展进行了总结与展望。

互联网+背景下风光储能一体化智慧能源设计研究

随着可再生能源的快速发展和能源结构的转型,风光储能技术成为实现能源可持续利用的重要手段。智慧能源作为一种集成了物联网、大数据、云计算等现代信息技术的新型能源形态,其在风光储能领域的应用逐渐展现出巨大的潜力和价值。对此本文详细综述分析了互联网背景下风光储能的智慧能源设计,在充分阐述了智慧能源与风光储能技术发展进程的基础上,从智慧能源在风光储能中的优化调度、储能管理以及并网控制三个方面详细探讨了风光储能的一体化能源设计模式,以期为风光储能技术的进一步发展提供有益参考。

基于模型-数据联合的光伏-光热系统储能量预测

提出一种模型-数据联合预测方法,通过机理分析建立对象动态模型,并引入未来太阳辐射强度、用户负荷预测数据进行即时模型预测,通过注意力机制改进的卷积-长短时记忆混合神经网络建立数据预测模型,并引入历史数据进行滚动数据预测,然后利用卡尔曼滤波器对2种预测模型的输出结果进行融合,实现储能量的联合预测。结果表明:联合预测兼具2种方法的优势,能很好地解决储能量预测误差随时间累积的问题,并能够及时表征气象因素突变和系统运行方式改变时储能量的变化情况,在各种天气状况下均具有良好的预测精度。

考虑风光不确定性的综合能源系统容量-成本两阶段规划优化研究

针对综合能源系统规划面临可再生能源波动性强、出力不确定性等问题,文章提出了一种考虑风光不确定性的综合能源系统容量-成本两阶段规划优化方法。首先,运用拉丁超立方抽样生成基础风、光场景集,并基于改进的k-means算法进行场景削减;其次,以运行成本最低、碳减排最优、污染物减排最优构建多目标优化模型;最后,提出系统容量-成本两阶段规划优化求解策略,并选取南方某商业园区进行规划仿真。仿真结果表明,文章所构建的综合能源系统两阶段规划模型能够在保证系统经济性的同时兼顾环保性,并满足用户多种用能需求。

NB/T 11554—2024要点解读及水风光储多能互补标准化工作回顾

本文追溯了“十三五”时期关于多能互补综合能源的开发模式、工程示范以及针对电源端多能互补系统的分类和指导意见,根据“十四五”时期关于两大水风光综合基地的规划,全国主要流域可再生能源一体化规划工作的初步成果,以及对于试点流域规划实施启动、产业链配套工程提速等工作回顾,梳理了水风光储可再生能源综合开发工作历程及标准化工作需要解决的问题及必要性。在分析多能互补一体化标准现状及水风光储标准立项需求的基础上,对最新发布的《水风光储可再生能源综合开发项目技术规范》进行规划、设计、运行和管理全生命周期各阶段要点解析,提出了该规范对于水风光储标准化工作的开创性和指导性。

风光互补发电系统混合储能系统容量优化方法研究

风光互补发电系统受风光资源影响发电功率波动较大,配置适当的储能系统可提高新能源发电的消纳能力和电能质量。针对风光互补发电系统储能容量优化配置问题,将运行投入成本作为优化目标,提出以抽水蓄能为基础,蓄电池和超级电容参与的混合储能系统模型。该储能模型以跟踪负荷曲线作为平抑目标函数,利用集合经验模态分解和滑动平均法,对抽水蓄能机组、蓄电池和超级电容设备进行功率分配。建立了风光发电系统模型,利用带免疫的粒子群算法对储能配置容量进行寻优求解。计算结果表明,所提基于抽水蓄能的混合储能容量优化模型,对发电系统输出功率波动情况改善明显,电能消纳能力和运行经济性有所提高。

风光储联合发电系统并网控制研究

风光储联合发电系统并网运行过程中,辐照度变化和风速变化导致传统控制方法下的功率输出出现较大波动,进而影响系统并网功率平衡。在光伏发电系统最大功率点跟踪控制过程中,提出了一种新型的模糊扰动观察法,优化了模糊控制器的输入量和隶属度函数,对辐照度改变情况下光伏阵列的最大功率点实现更精确的跟踪控制;采用最佳叶尖速比控制策略,实现风速改变情况下风力发电机的最大功率点跟踪控制。由光伏出力、风机出力和并网需求关系,实时控制蓄电池的充放电功率,维持并网电压稳定,保证并网功率平衡。最后,建立了风光储联合发电系统并网模型并进行了系统仿真,分析了光伏阵列的输出功率、风力发电机的输出功率、蓄电池荷电状态和功率变化以及系统并网运行情况,验证了联合发电系统并网输出的稳定性,进而验证了控制策略的可行性。