Research on decision-making behavior of multi-agent alliance in cross-border electricity market environment: an evolutionary game

Constructing a cross-border power energy system with multiagent power energy as an alliance is important for studying cross-border power-trading markets.This study considers multiple neighboring countries in the form of alliances,introduces neighboring countries’exchange rates into the cross-border multi-agent power-trading market and proposes a method to study each agent’s dynamic decision-making behavior based on evolutionary game theory.To this end,this study uses three national agents as examples,constructs a tripartite evolutionary game model,and analyzes the evolution process of the decision-making behavior of each agent member state under the initial willingness value,cost of payment,and additional revenue of the alliance.This research helps realize cross-border energy operations so that the transaction agent can achieve greater trade profits and provides a theoretical basis for cooperation and stability between multiple agents.

Business English Talent Cultivation Research under the Background of Cross-border E-commerce

The meteoric rise of cross-border e-commerce has become one of the pillars of our foreign trade, while the lack of quali-fied talents in the industry may restrict its benign development. This paper analyzes the major problems existing in the BusinessEnglish talents cultivation in university, and offers advice for the construction of training modal for Business English talents basedon the cross-border e-commerce.

The Study of Business Model for Cross-Border E-Commerce

The purpose of this study is to explore the business model for a cross-border watch company in the virtual market.The virtual market in this research focuses on mobile app devices and social communities.In the e-commerce market,the company uses community marketing and cross-border e-commerce to enhance its merchandise sales.In-depth interviews are applied to e-commerce platform experts.The findings suggest that the successful business model includes a clear brand positioning,exposure to social media channels,enhance of the webpage experience,and optimization of global cross-border e-commerce purchasing platform.

Research on the electrical business logistics system optimization model based on the evolutionary game and node analysis

In this paper, we conduct research on the electrical business logistics system optimization model based on the evolutionary gameand node analysis. For warehouse layout is not reasonable, do not have a high level of the storage technology, automated storage utilization rateis low, the lack of warehouse management personnel, to optimize the storage management mechanism, the need to pay attention to the followingprinciples clear the optimization goal, optimization model of the real can type, accurate real-time operational data, data of complete integration,earnestly implement scheme, practical optimization algorithm, instant effective optimization scheme, solid support professionals, scalabilityoptimization process, the overall return on investment evaluation. To achieve this goal, this paper proposes the new countermeasures that will bemeaningful.

Towards a business model for second-life batteries: Barriers,opportunities, uncertainties, and technologies

Electric vehicles(EVs) and the recent pandemic outbreak give cities a new trend to primarily private and shared mobility with low noise and less air pollution.Crucial factors for the widespread of EVs are the electrical charging infrastructure,driving range,and the reduction of the cost of battery packets.For this reason,there is a massive effort from manufacturers,governments,and the scientific community to reduce battery costs and boost sustainable electrical production and distribution.Battery reuse is an alternative to reduce batteries’ costs and environmental impacts.Second-life batteries can be used in a wide variety of secondary applications.Second-life batteries can be connected with off-grid or on-grid photovoltaic and wind systems,vehicle charging stations,forklifts,and frequency control.The present work aims to analyze the main challenges imposed on the reuse of batteries,the leading technologies for their reuse,and the different types of batteries in terms of their feasibility for second-life use.The main novelty of this work is the discussion about the barriers,opportunities,uncertainties,and technologies for the second life market.Here we summarize the present state of the art in reusing lithium-ion batteries discussing technical and economic feasibility,environmental impacts,and perspectives.The results show five business models that have been proposed in the literature,three types of markets for trading second-life batteries,and the main opportunities and barriers for each actor in the battery supply chain.

A Cross-Border E-Commerce Intellectual Property Rights

As an intangible property right,intellectual property is a very important economic resource,which is of great significance for merchants to enter the international market.With the development of The Times,more and more merchants begin to look globally and enter the overseas market.In order to gain a foothold and develop in the international market where intellectual property rights are more strictly protected,intellectual property rights have important significance that cannot be ignored by all businesses.Writing significance:Taking NetEase Koala as an example to further understand the IPR protection of cross-border e-commerce.

A Comprehensive Measurement Study Analyzing Cross-Border Logistics in Harbin New District

The business environment is an important index for measuring the international competitiveness of a country or region.Improving the business environment not only helps the logistics industry reduce costs and increase efficiency but also promotes the transformation and upgrading of the logistics sector.This paper focuses on the business environment of cross-border logistics enterprises in Harbin New District as the research object.It constructs the business environment index system of logistics enterprises in Harbin New District through empirical research using the subjective weighting method.The research data are then analyzed to identify the shortcomings in optimizing the business environment of cross-border logistics in Harbin New District.The paper proposes countermeasures and suggestions,aiming to provide a decision-making reference for promoting the high-quality development and all-round revitalization of Harbin New District.

Digital Marketing and B2B Cross-Border E-Commerce: A Case Study of Alibaba International Station in China

The rapid development of the“Internet+”has ushered in a new era of global digital technology innovation.Concurrent with the deepening trends of economic globalization and integration,international trade is progressively undergoing extensive digitization,with cross-border e-commerce emerging as a significant manifestation of this transformation.Within this landscape,the cross-border e-commerce B2B platform is anticipated to become a pivotal driver for China’s cross-border trade growth,representing a strategic opportunity for trade transformation.This paper provides a comprehensive examination of the concepts,characteristics,and development status of cross-border e-commerce and B2B platforms,considering both global and Chinese perspectives.Focusing on a prominent case study,Alibaba International Station,a B2B cross-border e-commerce platform,the paper delves into its business model and core competencies,offering a thorough analysis of its role in the intricacies of international e-commerce and its contribution to the field.Drawing on insights gained,the paper concludes by presenting targeted recommendations from both the platform and government perspectives.These suggestions are informed by a nuanced understanding of the development opportunities and challenges facing China’s cross-border e-commerce B2B platforms.

浅析电力工程企业通过战略破局冲出发展“天花板”

以传统设计或者施工为主营业务的电力工程企业,在转型发展过程中,需要进行不断的变革、系统性迭代升级。在不断调整、勉力突破过程中,有的企业问题还在不断暴露、累积,企业的发展似乎被一面无形的“天花板”困住,难于实现向上突破。本文通过案例分析,探索如何通过抓战略管理、超前谋划布局,实现企业向上突破发展。

基于半正定规划的商业园区微网电-碳联合分布式交易方法

“双碳”目标的提出促进了绿色生产与低碳发展相结合的需求。围绕着商业园区的能量共享与低碳运行这一问题,提出了一种充电站、商业楼宇、光储电站的电-碳交易模型,研究了园区主体与电力交易中心、微网运营商、碳交易中心之间能量和信息流动关系。在模型求解上,运用分布式鲁棒优化将商业园区电-碳分布式调度模型的非凸的机会约束问题转化为半正定规划问题。通过设定的3种方案从运营成本、碳排放量2个方面验证了所提方法在降成本、降碳排方面的有效性。最后,将所提方法与基于条件风险价值(conditional value at risk,CVaR)模型的线性规划方法对比,结果表明分布式鲁棒在决策结果方面更符合实际调度情况。

Economic research on application of electric heating system based on game theory

The use of clean electricity to replace fossil energy burning for heating is an important emission reduction way to achieve carbon neutrality.Without a good business model,it is very difficult to promote electric heating as a replacement for coal-fired systems in some areas with abundant coal resources.This study proposed a new business model for electric heating with stakeholders that included the government,the power grid company,and heat users.Based on this model,a specific tri-objective optimization model was proposed with the electric heating promotion power,heating electricity price,and government subsidy as variables to characterize the game relationship of the stakeholders,and the components of the stakeholder benefit function were analyzed in detail.A classical multi-objective genetic algorithm was used to solve the model.Finally,an"electrical heating"project for a typical area in China was analyzed,and four promotion cases were examined.The results showed that the power grid company and users had an antagonistic relationship in relation to the electricity price,but the best solution was found for all three stakeholders due to the high financial subsidies provided by the government.

计及需求响应潜力的电动汽车聚合商多主体日前投标策略

针对电动汽车这一新型储能资源大规模接入后电力市场多主体竞争格局,提出一种计及需求响应潜力的电动汽车聚合商多主体日前投标策略。以实现削峰填谷、保障电网安全稳定运行等为目标,促使电网与聚合商等多方市场主体可持续发展,探索其未来商业模式。首先,根据电动汽车用户出行特性进行电动汽车集群分类,考虑出行时间、到达时间及荷电状态等因素,模拟集群内用户随机充放电选择。结合聚合商整体充电功率上限值与电能波动区间值等主要因素,基于历史数据评估聚合商需求响应潜力。然后,考虑多个聚合商投标问题,建立日前市场投标模型,以测算电动汽车聚合商日前市场效益。为探寻多元竞争格局下最优日前市场投标策略,以日前投标净利润最大为目标函数,考虑电量、功率上限及电池容量等约束条件,利用Gurobi对优化问题进行求解。最后,通过湖北省武汉市某区实际负荷算例验证了所提策略的先进性及可行性。

电炉企业经营因素与生产因素的关联性分析

电炉企业受到产出效率差异性的影响,电炉企业经营因素与生产因素的关联性多变,为了准确分析经营因素与生产各个因素的关联性。结合电炉生产企业经营过程的投入产出率,采用DEA分析方法分析相关指标;设计实证模型依据相关电炉企业的数据,计算各个生产因素与经营因素的相关性,完成电炉企业经营因素与相关生产因素的关联性分析。实证分析结果表明:对于电炉企业的生产效率水平而言,随着企业经营规模的扩大,生产效率中的生产率、劳动成本、技术效率,产量与资本利润率呈波浪曲线规律变化,即经营规模过大或过小,都会影响电炉企业生产效率。

基于SOA架构的电炉企业财务与采购全链条数据管理平台设计

目前电炉企业财务和采购全链条业务数据管理平台没有对数据库进行实时更新处理,存在财务和采购业务数据管理整体耗时长、读取操作次数多和元数据迁移范围大的问题。提出基于SOA架构的财务与采购全链条业务数据管理平台设计,在SOA架构的基础上设计整体框架,并将平台划分财务与采购数据管理模块、采购数据基本信息管理模块、库存管理模块、采购信息查询模块以及用户登录系统模块五大模块。其次为加强数据管理效率,设计出数据处理软件系统,即可实现财务与采购全链条业务数据管理。实验表明,所提方法整体耗时短、读取操作次数少和元数据迁移范围小。

人工智能技术在供电营业服务中的应用

现阶段,人工智能技术在社会各行各业生产环节中都得到了广泛应用。基于电力服务环节本身的复杂性特点,将人工智能技术与供电营业服务相结合可建立健全的供电企业营业服务系统,减少供电营业服务中出现失误问题的概率,因此,电力部门需要以电力营业厅实际运行需求为依据,在把控人工智能技术应用重点的基础上,开展供电营业服务工作,以减少电力营业厅运行所需要的人工成本。基于此,本文主要研究了人工智能技术在供电营业服务中的应用。

储热参与电网调峰的技术及商业模式分析

常规热电厂“以热定电”运行模式和新能源发电的随机性及波动性限制了其调峰能力,通过储热技术参与电网调峰可以优化能源系统的配置能力。分别介绍了显热储热、相变储热和化学能储热3种不同储热技术的基本原理、适宜储热材料、优缺点以其未来发展趋势;综述了国内外不同储热技术参与电力系统调峰的策略和实际调峰项目的应用情况。基于储热技术参与电网调峰面临的特殊工况,指出了储热技术参与电网调峰需考虑的安全性、性能匹配、可靠性和经济性四类关键性评判指标;探讨了储热参与电力交易的主要商业模式,包括合同能源管理模式、两部制电价模式和辅助服务市场模式,为储热技术参与电网调峰及其规模化商业运营提供了一定的参考。

“双碳”背景下电力工程企业业务发展策略研究

随着国家“3060双碳”目标的提出,碳达峰、碳中和对能源转型提出了更加迫切的要求,能源电力企业需履行节能降碳减排的社会责任。本文从“3060双碳”政策背景出发,分析我国双碳业务战略布局情况。梳理碳达峰的十大行动领域中与电力工程公司相关的业务领域,并从能源转型、低碳城市给出相关业务发展策略;并提出电力工程企业的“能源+”绿色低碳业务发展模式。本文提出了电力工程企业业务转型发展的对策与方法,为未来电力工程企业实现转型发展提供借鉴和思路。

氢储能电站运营的模式优选与激励机制

可再生能源发电需要大规模的储能设施进行跨季调节,氢储能具有储存成本低、自放电率低的优势,是跨季储能的最佳选择。当前,氢储能如何实现盈利是阻碍其发展的主要问题。通过混合整数线性规划模型计算氢储能在各商业模式下的机组最佳装机容量及收益,探索氢储能的最佳商业模式,结果发现:氢储能电站通过电价差套利、售氢及建设可再生能源的方式可获得最大收益;在电价上限为2.56元/kW·h时,氢储能可以实现收支平衡;在2030-2037年间,氢储能可以实现商业化盈利;氢燃料电池成本下降对氢储能系统收益影响最大。当前,应通过加快推进电力现货市场建设、完善氢储能进入电力市场政策、重视氢燃料电池发展等措施,大力推动氢储能快速发展。

新能源电动农机一源多用创新供能赋能农网农机融合发展——基于全国536份调查问卷分析

随着我国“三电”技术的快速发展,新能源电动农机也如雨后春笋般迅速崛起,一源多用的提出是解决新能源电动农机季节性闲置、利用率低、无法与农村电网(以下简称农网)新型电力系统互动融合等问题的创新发展模式,具有用能清洁环保、数智化程度高、易于组网的现代化技术特征。针对新能源电动农机一源多用的关键技术、应用场景、实施路径和商业模式等存在问题与发展前景,面向农机、农业、电力和电网等相关从业人员开展网络问卷调研,从一源多用技术发展潜力和农网农机融合认知态势等视角,基于调研结果,研究了一源多用赋能农网农机融合的农机电能替代潜力、应用场景、综合效益等,分析了一源多用的实施路径和商业模式,提出了一源多用创新供能模式赋能农网农机融合的关键技术和扶持政策建议。结果表明,新能源电动农机一源多用发展模式具有较好经济效益和环保效益,发展前景被普遍看好,对落实双碳目标与乡村振兴战略具有积极意义。未来仍需开展新能源电动农机和电网融合互动关键技术协同攻关和应用研究,探索可持续且多方共赢的良性商业模式。

基于时间序列的电力业务承载能力自动感知方法研究

随着电力业务数据逐步增加,电力业务承载能力分析的重要性日益凸显。为解决电力业务承载能力感知准确性差的问题,提出了一种基于时间序列的电力业务承载能力感知方法。采用最小二乘法对历史电力业务数据进行预处理,消除错误数据对模型带来的影响;通过近邻传播聚类,获取电力业务承载能力的典型特征,并以此建立评估指标。在此基础上,基于时间序列检测机制,实现电力业务承载能力感知和风险识别。在某计量中心进行了验证,其电力业务承载能力感知准确率为99.56%。所提方法能有效提高电力业务承载能力感知能力。