Optimal Scheduling Method of Cogeneration System with Heat Storage Device Based on Memetic Algorithm

Electric-heat coupling characteristics of a cogeneration system and the operating mode of fixing electricity with heat are the main reasons for wind abandonment during the heating season in the Three North area.To improve the wind-power absorption capacity and operating economy of the system,the structure of the system is improved by adding a heat storage device and an electric boiler.First,aiming at the minimum operating cost of the system,the optimal scheduling model of the cogeneration system,including a heat storage device and electric boiler,is constructed.Second,according to the characteristics of the problem,a cultural gene algorithm program is compiled to simulate the calculation example.Finally,through the system improvement,the comparison between the conditions before and after and the simulation solutions of similar algorithms prove the effectiveness of the proposed scheme.The simulation results show that adding the heat storage device and electric boiler to the scheduling optimization process not only improves the wind power consumption capacity of the cogeneration system but also reduces the operating cost of the system by significantly reducing the coal consumption of the unit and improving the economy of the system operation.The cultural gene algorithm framework has both the global evolution process of the population and the local search for the characteristics of the problem,which has a better optimization effect on the solution.

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.

风-火-储耦合系统储能容量配置优化对比

为提升风电富集区域风电消纳水平及燃煤机组的灵活性,提出了基于热电共蓄式压缩空气储能的风-火-储耦合系统及系统调度策略,建立了系统的容量配置优化框架,并对7种布局方案进行了多目标优化。优化结果表明:电锅炉将弃风电量转化为热量时,燃煤机组的运行点向电力负荷下限更低的区域移动,风电上网空间增大,燃煤机组出力水平降低;加入热电共蓄式压缩空气储能子系统,使得燃煤机组电功率水平降低;换热器废热的回收进一步降低了燃煤机组产热水平;通过调整燃煤机组热出力,抽汽蓄热子系统能够实现抽汽热的时空平移,促使燃煤机组运行点向电力负荷下限更低的区域移动,可间接促进风电的消纳。综合来看,3种子系统相组合的最佳耦合方案可实现燃煤机组的热电解耦,从而提升了其深度调峰能力,在更大程度消纳风电能力的同时提升了系统的效率和环保性。

含分层储能的冷热电联供系统运行优化

为提高冷热电联供型微电网对可再生能源的消纳能力,解决源-荷的不确定性使得系统运行稳定性降低的问题,提出含分层储能的三级混合时间尺度滚动优化方法。日前优化目标为日运行成本最低;日内上层以燃料成本和蓄热罐功率变化惩罚成本最低为目标对冷热能进行优化,下层以电网交互成本和蓄电池功率变化惩罚成本最低为优化目标对电能进行优化;实时电系统反馈以电系统削峰填谷作用量和功率波动量最低为优化目标;得出最优的系统中各设备的出力计划。结果表明:该优化方法和分层储能能够有效达到削峰填谷的作用,各设备功率波动率均处于较低水平;冬季典型日的日运行成本比日前成本有所降低。

基于AA-CAES电站和综合需求响应的供暖期弃风消纳策略

“双碳”目标背景下,为解决热电联产机组“以热定电”模式导致的大规模弃风问题,本文提出基于先进绝热压缩空气储能电站(advanced adiabatic compressed air energy storage,AA-CAES)和综合需求响应的综合能源系统(integrated energy system,IES)供暖期弃风消纳策略。首先,在“源-储”两侧建立热电联产机组与AA-CAES电站耦合运行模型,分析耦合运行实现热电解耦机理;其次,在“荷”侧引入价格型和替代型需求响应机制来探寻负荷侧优化系统调度潜力;然后,在IES中引入碳捕集系统和阶梯型碳交易机制来约束碳排放,并在碳排放量最少、综合成本最低为目标构建IES运行基础上,引入模糊机会规划约束模型来分析风、光不确定性对系统调度影响;最后,利用西北某地区实际数据进行算例验证。结果表明:热电机组与AA-CAES电站耦合运行相较于未耦合运行可提高风电消纳率84.55%、降低总成本11.42%、减少碳排放20.28%;综合需求响应机制的引入可进一步提高风电消纳率35.00%、降低总成本20.93%、减少碳排放24.43%;风光不确定性的上升会提高与外部电网的交互成本。

液态空气储能耦合综合能源系统热电联储联供优化配置研究

液态空气储能(LAES)在多能耦合的综合能源系统中极具应用前景,合理的储能容量配置更有利于综合能源系统低碳经济运行,但目前研究未充分考虑LAES热电联储联供强相关的特性和优势。因此,本文提出了一种LAES耦合综合能源系统的热电联储联供优化配置方法,针对综合能源系统的基本架构,构建了各组成单元的热电联储/供调度约束模型,并以设备初始投资成本、设备运维成本、购能成本、弃风弃光成本等为目标函数,考虑了系统能量平衡约束、设备容量约束、设备出力约束、外网交互功率约束以及储能约束,建立了相应的优化配置模型,并基于混合整数线性规划方法进行模型求解。以某实际园区为例,设置了5种场景进行优化结果对比分析,结果表明:考虑LAES热电联储联供特性的综合能源系统能实时有效地满足系统用能需求,同时能实现更好的经济效益和环境效益,相较于传统分供系统,系统总经济成本下降37.1%,实现碳减排71.50%,并在消纳可再生能源和减少弃光弃风方面更具潜力。本研究可为LAES耦合系统热电联储联供优化模型的有效性提供理论依据,有助于推动LAES在综合能源系统中的商业化应用。

热网蓄热特性及其对机组调峰能力的影响研究

为了提高热电联产机组调峰能力,利用热网蓄热实现机组的“热电解耦”。建立了某350 MW热电联产机组及其热网系统的动态仿真模型,研究了热网及其热用户在蓄/放热阶段的动态特性及环境温度对机组调峰能力的影响规律。结果表明:热用户滞后时间随着热用户与换热首站的距离的增加而增加,同时也受自身热负荷的直接影响和其余热用户热负荷的间接影响;热网相对蓄/放热功率在改变抽汽质量流量后先迅速变化再缓慢变化;热用户温度近似呈线性变化,其变化速率随着抽汽质量流量变化幅度的增大而增大,且开始变化时间也随之提前;机组最大调峰能力随着环境温度降低而略有增加,环境温度从0℃下降至-15℃时,机组调峰能力从23.8 MW增加至29.7 MW;增加蓄热时长,提高蓄热温度,降低放热温度均有利于提高机组调峰能力。

基于斜温层等效容积的大型蓄热罐动态特性分析

斜温层蓄热罐可以提高热电联产(combined heat and power,CHP)机组在供热期间的调峰能力,因此逐渐向大型化发展,但设计参数对蓄热罐的性能影响较大,且采用目前的性能评估方法效率较低。为此,建立大型蓄热罐的物理模型及数学模型,研究蓄热过程中斜温层的形成及变化过程,提出斜温层等效容积的概念,同时分析结构参数及运行参数对斜温层等效容积的影响。结果表明:形成稳定斜温层后,随着蓄热量的增加,斜温层厚度变化不大,采用斜温层等效容积可以更高效的评估蓄热罐的性能。比较不同工况下蓄热罐等效容积的相对变化量可知,不同影响因素对斜温层等效容积的影响从高到低排序依次为布水器布置、蓄热流量、高径比和冷热水温差。研究成果为大型蓄热罐的性能评估提供了一种新参考。

风电-火电-压缩空气储能综合能源系统运行特性研究

为提升电网消纳风电的能力,改善火电机组运行灵活性,本文基于压缩空气储能系统容量大、多能流耦合的特点提出了一种包含两台600 MW燃煤机组的风电-火电-压缩空气储能综合能源系统。首先通过构建系统热力学变工况模型,分析了关键参数对压缩空气储能系统性能的影响,然后以降低弃风率为目标,探究了综合能源系统在典型特征日的能流匹配和运行特性。结果表明,电能分配比由57.3%增加至76.0%时,储能系统输出热电比由0.84下降至0.30,对储能系统输出影响最为显著;典型特征日的仿真场景下,综合能源系统负荷调节能力强,能流匹配良好,弃风率仅为2.28%。通过上述分析,验证了所提出的系统具备可观的风电消纳潜力和运行灵活性。

耦合储能电池的冷热电联供系统全工况性能分析

冷热电联供系统具有能源利用效率高、运行调节灵活的优点。设计了耦合储能电池的冷热电联供一体化系统,建立了关键部件的精细化数学模型,研究了压气机和透平的效率、环境温度对联供系统性能的影响。针对典型制冷和供热工况,研究了耦合电池储能的冷热电联供系统全工况热力性能、储能电池的充放电特性。结果表明:环境温度对冷热电联供系统性能具有较大的影响,其最大供热量随着环境温度的降低而下降,最大供冷量随着环境温度的升高而下降。制冷模式下,冷负荷、电负荷全天波动较大,全天平均冷、电负荷仅为额定功率的39.9%左右,全天平均能源利用系数为0.712。供热模式下,典型日全天燃机循环的发电效率、供热系数以及能源利用系数波动很小,且均高于制冷模式下相应的指标。

考虑多能耦合共享储能的微网多智能体混合博弈协调优化

冷热电耦合的共享储能可以更显著地提高微网多种能源的利用效率与消纳水平。然而,多能耦合的共享储能进一步增加了多微网之间协调运行的难度,故而提出了一种考虑多能耦合共享储能的微网多智能体混合博弈协调优化模型。首先,围绕多能耦合共享储能进行建模,从冷、热、电3个维度构建元件的运行模型。其次,提出了一种计及多能耦合共享储能协作的微网混合博弈双层协调调度模型。上层部分为基于主从博弈的微网运营商日内电价优化模型,以微网运营商的日内收益最大化为目标,综合考虑电价上下限约束和购售电价平均值约束,为下层协作运行提供响应电价;下层部分为基于合作博弈的微网间协作运行策略模型,以产消者和共享储能电站的合作成本为目标,综合考虑机组出力上下限约束和功率平衡约束,为上层反馈合作成本用于指导电价优化调整。然后,在混合博弈模型求解时,以电价变动率为收敛判据,同时采用二分法处理电价约束以加速模型求解。最后,采用多智能体协调优化的微网系统验证了所提方法的有效性。

基于压缩空气储能与增强型地热的三联产系统热力学分析

为提升压缩空气储能技术的能量利用率与供能灵活性,基于能量梯级利用原理,提出了一种耦合压缩空气储能与增强型地热技术的冷热电联产系统。通过建立系统的热力学模型,研究了关键运行参数对系统热力学性能的影响规律,并以系统(火用)效率和单位能量成本为目标函数,获得了系统的多目标优化解集。结果表明,膨胀机与换热器是系统高效运行的关键设备,提升这2个设备的运行效率对于系统热力学性能以及输出功量的提升作用显著,采用多目标优化方法得到系统的最优(火用)效率为55.73%,最优单位能量成本为6378.94元/kW,能量效率和相对节能率较设计工况分别提升了6.1%和10.68%。研究结果从热力学和经济学角度为系统的工程应用提供了理论依据。

A review of low-temperature heat recovery technologies for industry processes

The amount of low-temperature heat generated in industrial processes is high,but recycling is limited due to low grade and low recycling efficiency,which is one of the reasons for low energy efficiency.It implies that there is a great potential for low-temperature heat recovery and utilization.This article provided a detailed review of recent advances in the development of low-temperature thermal upgrades,power generation,refrigeration,and thermal energy storage.The detailed description will be given from the aspects of system structure improvement,work medium improvement,and thermodynamic and economic performance evaluation.It also pointed out the development bottlenecks and future development trends of various technologies.The low-temperature heat combined utilization technology can recover waste heat in an all-round and effective manner,and has great development prospects.

Optimization of Operation Strategies for a Combined Cooling, Heating and Power System based on Adiabatic Compressed Air Energy Storage

The fluctuations of renewable energy and various energy demands are crucial issues for the optimal design and operation of combined cooling,heating and power(CCHP)system.In this paper,a novel CCHP system is simulated with advanced adiabatic compressed air energy storage(AA-CAES)technology as a join to connect with wind energy generation and an internal-combustion engine(ICE).The capital cost of utilities,energy cost,environmental protection cost and primary energy savings ratio(P E S R)are used as system performance indicators.To fulfill the cooling,heating and power requirements of a district and consider the thermal-electric coupling of ICE and AA-CAES in CCHP system,three operation strategies are established to schedule the dispatch of AA-CAES and ICE:ICE priority operation strategy,CAES priority operation strategy and simultaneous operation strategy.Each strategy leads the operation load of AA-CAES or ICE to improve the energy supply efficiency of the system.Moreover,to minimize comprehensive costs and maximize the P E S R,a novel optimization algorithm based on intelligent updating multi-objective differential evolution(MODE)is proposed to solve the optimization model.Considering the multi-interface characteristic and active management ability of the ICE and AA-CAES,the economic benefits and energy efficiency of the three operation strategies are compared by the simulation with the same system configuration.On a typical summer day,the simultaneous strategy is the best solution as the total cost is 3643 USD and the P E S R is 66.1%,while on a typical winter day,the ICE priority strategy is the best solution as the total cost is 4529 USD and the P E S R is 64.4%.The proposed methodology provides the CCHP based AA-CAES system with a better optimized operation.

Liquid Air Energy Storage for Decentralized Micro Energy Networks with Combined Cooling,Heating,Hot Water and Power Supply

Liquid air energy storage(LAES)has been regarded as a large-scale electrical storage technology.In this paper,we first investigate the performance of the current LAES(termed as a baseline LAES)over a far wider range of charging pressure(1 to 21 MPa).Our analyses show that the baseline LAES could achieve an electrical round trip efficiency(e RTE)above 60%at a high charging pressure of 19 MPa.The baseline LAES,however,produces a large amount of excess heat particularly at low charging pressures with the maximum occurred at~1 MPa.Hence,the performance of the baseline LAES,especially at low charging pressures,is underestimated by only considering electrical energy in all the previous research.The performance of the baseline LAES with excess heat is then evaluated which gives a high e RTE even at lower charging pressures;the local maximum of 62%is achieved at~4 MPa.As a result of the above,a hybrid LAES system is proposed to provide cooling,heating,hot water and power.To evaluate the performance of the hybrid LAES system,three performance indicators are considered:nominal-electrical round trip efficiency(ne RTE),primary energy savings and avoided carbon dioxide emissions.Our results show that the hybrid LAES can achieve a high ne RTE between 52%and 76%,with the maximum at~5 MPa.For a given size of hybrid LAES(1 MW×8 h),the primary energy savings and avoided carbon dioxide emissions are up to 12.1 MWh and 2.3 ton,respectively.These new findings suggest,for the first time,that small-scale LAES systems could be best operated at lower charging pressures and the technologies have a great potential for applications in local decentralized micro energy networks.

Biomass-fuelled combined heat and power: integration in district heating and thermal-energy storage

Conventional approaches towards energy-system modelling and operation are based upon the system design and performance optimization.In system-design optimization,the thermal or mechanical characteristics of the systems providing for the heat or electricity demands were derived separately without integration with the energy source and without interaction with demand,which results in low-efficiency energy performance.This paper presents a key review on the integration of biomass-powered combined heat and power(BCHP)systems in district-heating systems as well as coupling with thermal-energy storage.In BCHP design,the appropriate sizing of the associated components as part of the district-heating system is very important to provide the optimal dispatch strategy as well as minimized cost and environmental impact while it co-operates with thermal-energy storage.Future strategies for the feasibility,evaluation and integration of biomass-powered energy systems in the context of district systems are also studied.

Diesel generator exhaust heat recovery fully-coupled with intake air heating for off-grid mining operations:An experimental,numerical,and analytical evaluation

The customarily discarded exhaust from the fossil fuel-based power plants of the off-grid mines holds the thermal potential to fulfill the heating requirement of the underground operation.This present research fills in an important research gap by investigating the coupling effect between a diesel exhaust heat recovery and an intake air heating system employed in a remote mine.An integrative approach comprising analytical,numerical,and experimental assessment has been adapted.The novel analytical model developed here establishes the reliability of the proposed mine heating system by providing comparative analysis between a coupled and a decoupled system.The effect of working fluid variation has been examined by the numerical analysis and the possible improvement has been identified.Experimental investigations present a demonstration of the successful lab-scale implementation of the concept and validate the numerical and analytical models developed.Successful deployment of the fully coupled mine heating system proposed here will assist the mining industry on its journey towards energy-efficient,and sustainable mining practices through nearly 70%reduction in fossil fuel consumption for heating intentions.

考虑碳捕集和电转气的综合能源系统优化调度

碳捕集、电转气等低碳技术是实现能源系统低碳经济运行的重要途径和主要抓手。鉴于此,构建了一种含碳捕集、利用与封存装置,两段式电转气设备及热电联产机组耦合的综合能源系统低碳经济调度模型。在技术层面,分别构建碳捕集、利用与封存,两段式电转气及热电联产数学模型;在市场机制层面,引入阶梯式碳交易模型约束系统碳排放。提出了以综合能源系统运行总成本最小为目标函数的优化调度策略。通过设置多个场景进行算例分析,验证了所提模型的有效性,并分析了各阶梯碳交易机制参数灵敏性对综合能源系统低碳性及经济性的影响。

含光伏与储能的冷热电联供系统混合时间尺度滚动优化运行研究

为解决冷热电联供系统源荷供需能量匹配性差异显著的问题,提出三阶段混合时间尺度滚动优化方法。日前阶段以日运行成本最低为优化目标,综合考虑CO_(2)、SO_(2)和NO_(x)的处理成本,制定逐时计划;日内阶段根据冷热电相关设备的响应差异,建立了冷热和电能分时间尺度的双层优化模型;实时电反馈优化以电设备功率调整量最小为目标;最终得到各设备的最佳出力计划。结果表明:三阶段混合时间尺度滚动优化方法能够有效平抑负荷和可再生能源出力波动,各设备功率波动率均处于较低水平;不同典型日下的日运行成本比日前成本均有所降低,冬季、过渡季和夏季典型日的成本节约率分别为0.99%、1.10%和2.01%。

多时间尺度滚动优化在冷热电联供系统中的优化调度研究

为解决可再生能源和用户负荷波动所造成的能量供需不平衡问题,该文提出多时间尺度优化运行方法。该方法建立“日前-日内滚动-实时调整”的三阶段优化模型来逐级优化机组出力,日前阶段考虑环境成本,日前优化以日运行成本最低为目标,日内滚动优化以滚动控制时域内购能成本和机组出力变化惩罚成本最低为目标,实时调整优化以设备功率总调整率最小为目标,最终得到设备的实时平滑出力计划。日前阶段比较不同的系统结构对CCHP系统日运行成本的影响,并确定了最佳的系统结构。仿真结果验证了所提策略的准确性,优化结果显示:多元储能模式能降低CCHP系统的运行成本;多时间尺度滚动优化不但能提高CCHP系统的运行经济性,而且能减小设备的功率波动,减小设备运行损耗。