Research on Operation Optimization of Energy Storage Power Station and Integrated Energy Microgrid Alliance Based on Stackelberg Game

With the development of renewable energy technologies such as photovoltaics and wind power,it has become a research hotspot to improve the consumption rate of new energy and reduce energy costs through the deployment of energy storage.To solve the problem of the interests of different subjects in the operation of the energy storage power stations(ESS)and the integrated energy multi-microgrid alliance(IEMA),this paper proposes the optimization operation method of the energy storage power station and the IEMA based on the Stackelberg game.In the upper layer,ESS optimizes charging and discharging decisions through a dynamic pricing mechanism.In the lower layer,IEMA optimizes the output of various energy conversion coupled devices within the IEMA,as well as energy interaction and demand response(DR),based on the energy interaction prices provided by ESS.The results demonstrate that the optimization strategy proposed in this paper not only effectively balances the benefits of the IEMA and ESS but also enhances energy consumption rates and reduces IEMA energy costs.

Electricity-Heat-Based Integrated Demand Response Considering Double Auction Energy Market with Multi-Energy Storage for Interconnected Areas

With development of integrated energy systems and energy markets,transactive energy has received increasing attention from society and academia,and realization of energy distribution and integrated demand response through market transactions has become a current research hotspot.Research on optimized operation of a distributed energy station as a regional energy supply center is of great significance for improving flexibility and reliability of the system.Based on retail-side energy trading market,this study first establishes a framework of combined electric and heating energy markets and analyses a double auction market mechanism model of interconnected distributed energy stations.This study establishes a mechanism model of energy market participants,and establishes the electric heating combined market-clearing model to maximize global surplus considering multi-energy storage.Finally,in the case study,a typical user energy consumption scenario in winter is selected,showing market-clearing results and demand response effects on a typical day.Impact of transmission line constraints,energy supply equipment capacity,and other factors on clearing results and global surplus are compared and analyzed,verifying the effects of the proposed method on improving global surplus,enhancing interests of market participants and realizing coordination and optimal allocation of both supply and demand resources through energy complementarity between regions.

Dispatch of a Coal Mine-Integrated Energy System:Optimization Model with Interval Variables and Lower Carbon Emission

In the coal mining process,a large amount of Coal Mine-Associated energy(CMAE),such as coal mine methane and underground wastewater,is produced.Research on the modeling and optimization dispatching of a Coal Mine-Integrated Energy System(CMIES)with CMAE effectively saves energy and reduces carbon pollution.CMAE has great uncertainties owing to the affections of the hydrogeology conditions and mining schedules.In addition,thermal loads have high comfort requirements in mines,which brings great challenges to the optimization dispatching of CMIESs.Therefore,this paper studies the architecture and solution of CMIESs with a flexible thermal load and source-load uncertainty.First,to effectively improve the electric and thermal conversion efficiency,the architecture of CMIES,including a concentrating solar power station,is built.Second,for the scheduling model with bilateral uncertainty,the interval representation method with interval variables is proposed,and a multi-objective scheduling model based on the interval variables and flexible thermal load is constructed.Finally,we propose a solution method for the model with interval variables.A case study is conducted to demonstrate the performance of our model and method for lowering carbon emissions and cost.

Optimal Planning of Community Integrated Energy Station Considering Frequency Regulation Service

With the extensive integration of high-penetration renewable energy resources,more fast-response frequency regulation(FR)providers are required to eliminate the impact of uncertainties from loads and distributed generators(DGs)on system security and stability.As a high-quality FR resource,community integrated energy station(CIES)can effectively respond to frequency deviation caused by renewable energy generation,helping to solve the frequency problem of power system.This paper proposes an optimal planning model of CIES considering FR service.First,the model of FR service is established to unify the time scale of FR service and economic operation.Then,an optimal planning model of CIES considering FR service is proposed,with which the revenue of participating in the FR service is obtained under market mechanism.The flexible electricity pricing model is introduced to flatten the peak tieline power of CIES.Case studies are conducted to analyze the annual cost and the revenue of CIES participating in FR service,which suggest that providing ancillary services can bring potential revenue.

Multiple Failure Modes of Compressor Station Incorporated into Risk Evaluation of Electricity-gas Integrated Energy Systems

Multiple failure modes of gas compressor stations have not been modeled into risk evaluation of electricity-gas integrated energy system(EGIES).This paper presents a method to incorporate multiple failure modes of compressor stations with bypass systems in the EGIES risk evaluation.Three outage models representing multi-states and multi-failure-modes of com-pressor stations and a bi-level Monte Carlo sampling algorithm for the models are developed.A novel network model of EGIES considering compressor stations with multiple failure modes is presented.An EGIES with a modified RBTS and an 11-node gas system is used to demonstrate the effectiveness of the proposed method and models.Results indicate that compressor stations have both positive and negative significant impacts on the risk of EGIES.Bypass systems for compressor stations can effectively offset the negative impacts.Ignoring compressor stations and their station failures in the risk evaluation of EGIES may result in an inaccurate estimation of the system risk levels and even lead to a misleading conclusion in system planning.Index Terms-Compressor station,electricity-gas integrated energy system,multiple failure modes,risk evaluation.

基于改进模拟退火遗传算法的高速公路服务区自洽能源系统高能效优化

针对高速公路自洽能源系统高能效优化的问题,基于改进模拟退火遗传算法(SA-GA),提出了一种综合考虑经济目标和环保目标的自洽能源系统高能效优化运行策略。首先根据高速公路服务区自洽能源系统中各电力单元特性,建立一种综合考虑系统经济性和环保性的能效目标函数;其次根据高速公路服务区自洽能源系统的分类,建立了不同类型系统对应的约束条件;为避免遗传算法易陷入局部最优的缺陷,引入模拟退火算法,对改进后的SA-GA算法采用降温函数,寻找全局最优解;利用新疆某高速公路服务区自洽能源系统发电和负荷数据,并在传统服务区负荷的基础上进一步考虑新能源汽车充电站的影响。测试函数测试结果表明:SA-GA算法在求解速度和稳定性方面有明显提升,改进SA-GA算法对夏季、冬季典型日能效优化的结果,相较于遗传算法,在寻优精度提升约为20.33%。

多站融合的微能源系统站 网协同布局

为了促进资源的共享,提高能源利用率,建立了双层站网优化布局模型,对多站融合的微能源系统的融合站数量、位置、设备容量配置,以及管线分布进行了协同规划。上层模型采用最小生成树和谱聚类求解,解决了融合站数量、位置和管线分布问题;下层模型采用提出的改进的粒子群优化算法,解决了设备容量配置问题。通过对规划区域进行算例仿真,得出了系统站网协同布局的优化结果,验证了所提模型和算法的可行性与合理性。

考虑综合需求响应的含碳捕集与光热电站综合能源系统低碳经济调度

提高清洁能源利用率,降低能源系统碳排放是实现能源结构低碳化转型以及“双碳”目标的重要手段。基于此背景,提出了一种阶梯式碳交易机制下包含风电、电储能、燃气机组、碳捕集设备与含储热光热电站的综合能源系统低碳经济调度方法,并结合负荷侧柔性资源的响应策略,从源荷两端联合调度挖掘综合能源系统在经济运行与低碳环保方面的调度潜力。最后以系统运行总成本最小为优化目标,运用CPLEX商业求解器对多个场景进行求解,结果表明:所提源荷协调调度方法可以有效降低系统碳排放并提高系统运行效益。

极简基站智慧能源管理系统研究与应用

极简基站通过BBU集中和电源室外化改造可有效节省基站空调电费和降低基站机房租赁费用。针对极简基站建设模式,本文提出了一种极简基站电源监控系统的解决方案,实现了对室外一体化电源的信息化管控,提升了移动通信网的运维效能。

考虑碳捕集与光热电站的综合能源系统优化调度

为高效处理综合能源系统IES(integrated energy system)中因热电供需矛盾导致的弃风及碳排放问题,构建了考虑碳捕集与封存CCS(carbon capture and storage)技术以及光热CSP(concentrating solar power)电站的优化调度模型。首先,利用CCS技术对热电联产CHP(combined heat and power)机组进行低碳化改造,建立碳捕集热电联产机组的数学模型;然后,在此基础上引入CSP电站,构成CSP-CHP-CCS协同框架,并建立含CSP-CHPCCS的IES低碳经济调度模型;接着,针对系统中的源、荷不确定性,采用信息间隙决策理论进行模拟分析,构建风险规避鲁棒模型;最后,通过算例仿真对比,验证了所提模型在促进新能源消纳和降低碳排放方面的有效性。

考虑互联协同的分布式能源站低碳多目标选址规划研究

“双碳”目标和能源转型的大背景下,区域综合能源系统内部耦合关系不断丰富,对于碳排放的管理不断严格,考虑互联协同的分布式能源站低碳规划问题亟待解决。为此,首先讨论了互联协同分布式能源站空间性能参数矩阵;然后计及负荷-能源站的管线建设以及环境成本、能源站-能源站的互联管线长度、各个分布式能源站规划容量等关键因素,提出了一种考虑互联协同的分布式能源站低碳多目标选址规划模型;最后,讨论了负荷不确定性对分布式能源站选址规划的影响,并且基于基准负荷确定性场景,在某城市实际算例中验证并讨论了考虑低碳需求前后各个分布式能源站的选址结果对比。

基于三端柔性直流的光热储能站与新能源场站功率协同控制策略

新能源基地大多经传统交流方式接入高压交流或直流外送通道,为解决大规模新能源经交流接入方式下并网容量小、损耗大,以及功率波动对电网稳定性影响等问题,构建了一个基于柔性直流输电并网的风电和光伏、光热储能及电网三端柔性直流系统。基于直流电压-有功功率特性,提出一种适用于该系统的站间协调控制策略,根据柔性直流输电系统的直流电压波动情况,调整光热储能机组的出力,以平抑风、光功率波动,降低其对电网的影响。针对光热储能侧换流站,采用直流电压裕度下垂混合控制策略,通过控制器参数配置,抑制控制模式切换过程中的暂态过电压,提高系统响应速度。最后,在PSCAD/EMTDC中搭建三端柔性直流系统仿真模型,验证所提控制策略的有效性。

计及动态能源价格和共享储能电站的多主体综合能源系统双层优化调度策略

可再生能源不确定性背景下,为协调综合能源运营商、电热负荷聚集商及共享储能电站之间的利益关系,提出一种电热综合动态定价机制,基于综合需求响应特性,引导电热负荷聚集商参与综合能源系统运营商优化,促进储能高效应用和新能源就地消纳,实现多利益主体互利共赢。以综合能源系统运营商为主体,以电热负荷聚集商和共享储能运营商为从体,构建一主多从的综合能源多运营主体系统优化模型。充分挖掘共享储能运营商的运行模式,包括充电、放电和提供备用等模式。采用CPLEX对主从博弈模型迭代求解,算例结果验证了模型及方法的有效性。

耦合碳转移及能量共享的多油气站场IES运行优化

在能源转型及“碳达峰、碳中和”背景下,构建基于多能互补的综合能源系统(IES)有助于提高油气站场的节能降耗水平。融入站间碳转移及能量共享,考虑能流供需平衡、CCUS-P2G模块及储能装置运行等约束,以运行成本最低为目标,提出一种针对多油气站场IES协同运行的混合整数规划模型,确定各油气站场IES的最优运行方案。以3个油气站场组成的能量系统为研究对象,验证模型的优化性能。结果表明,设备间的相互协调可有效提升系统的能量利用率,消纳自然清洁能源,防止弃光、弃风。此外,相较各油气站场独立运行,多油气站场协同运行能降低11.8%的运行费用。该研究可为油气站场的低碳经济运行提供理论指导。

碳交易机制下园区综合能源系统优化调度

为抑制园区综合能源系统的碳排放,优化系统运行成本,提出一种以系统运行总成本最小为目标、平衡经济性和低碳性的园区综合能源系统优化调度策略。首先将阶梯式碳交易机制引入综合能源系统,然后在能源供给侧利用光热电站促进光能实现削峰填谷,在需求侧通过需求响应减少电、热能的使用成本,最后运用CPLEX进行求解,并对多个优化调度方案进行对比分析。结果表明,所提方案在有效控制系统运行成本的同时,碳排放量也得到降低,有助于园区综合能源系统实现“双碳”目标。

基于综合集成赋权法的我国高质量绿色低碳园区综合评价方法

产业园区是我国经济、能源低碳转型的重要阵地,是支撑我国工业化集群快速发展的底层核心力量,具有集经济、信息、能源、环境为一体的多重融合功能,其高质量绿色低碳发展是实现我国碳达峰、碳中和的重要路径与抓手。论文在国内相关研究成果基础上,采用内外因素论,从产业园区高质量低碳发展多角度分析,提出7项准则层、30项二级指标。其中,包含碳利用效率、区域碳达峰影响比率、碳中和平台建设情况等6项评价低碳效率、信息化的创新性指标。同时为提升体系评价效果,提出基于序关系和熵值法的主客观综合集成赋权模型。该评价方法可避免主观评价弊端,提升评价体系实用性、有效性,旨在为未来我国高质量绿色低碳园区落地建设提供评估理论支撑。

新能源汽车充电桩空间布局优化研究

全球能源日益短缺背景下,石油、天然气等不可再生资源的持续消耗,促使新能源汽车领域快速发展,并逐渐成为我国重点扶持的新兴产业。充电桩作为新能源汽车重要基础设施,其便捷性、合理性以及多元性是推动新能源产业持续发展的关键所在。采用随机问卷调查法,有效问卷300份,通过调查分析发现,调查地区充电桩存在车主充电难、充电桩分布不均、充电车位占用率较高等问题,提出整合资源、合理布局充电设施等策略,旨在优化充电桩空间布局的同时,促进新能源领域快速发展。

中深层地热供暖系统的设计应用

中深层地热能是一种稳定可再生的清洁能源,应用于城镇供热中,可替代煤、天然气等化石能源的消耗,减少二氧化碳等温室气体的排放,实现很好的经济和环境效益。天津市拥有良好的中深层地热资源,在实际的地热能开发利用中也积累了较多的经验和方法。本项目以深层地热能系统热源替代传统市政热源,在深层地热供热站建站规模、地热系统设计和整装式机房应用等方面进行了优化设计,降低了项目建设投资和运行成本,实现了较好的经济和环境效益。

电动汽车集成一体式充电站设计

介绍了一种电动汽车集成一体式充电站的设计,解决了传统电动汽车充电站占地面积大、建设周期长、充电桩扩展难等问题,并且采用高度集成化的设计,可使运营商在场站迁移时大大减少损失。除此之外,本充电站还配置了光伏发电系统、储能系统,在利用清洁能源实现节能减排的同时,还可缓解集中使用充电桩时对电网产生的冲击。

基于因果序图的氢能一体化电站运行过程建模及能量流控制策略

为解决大规模的“间歇性电源”接入造成的电能供需不平衡的问题,该文提出氢能一体化电站及其运行过程中电-氢-电能量流控制策略。首先,根据一体化电站电-氢-电能量转换特点,基于因果序图(COG)建立了面向控制的制储氢发电一体化电站运行动态模型,该模型能够清晰地反映一体化电站不同物理量之间的关系,实现一体化电站运行过程的表征;其次,在所建模型基础上基于自然因果关系原理设计了一体化电站运行过程的功率流和氢气流控制策略,该策略对于刚性关系过程采用反转模型控制,减少了误差反馈耗时,增强了控制器性能;最后,在基于RT-Lab的硬件在环仿真平台上进行了测试,分析了一体化电站不同物理量之间的变化关系。与比例-积分-微分(PID)控制和自抗扰控制(ADRC)方法的对比结果表明,所提控制策略在响应速度、收敛精度和运行效率上优于传统方法,可以更有效地实现氢能一体化电站运行过程的能量流管理。