Bargaining Game Theoretic Power Control in Selfish Cooperative Relay Networks

Wireless cooperative communications require appropriate power allocation （PA） between the source and relay nodes. In selfish cooperative communication networks, two partner user nodes could help relaying information for each other, but each user node has the incentive to consume his power solely to decrease its own symbol error rate （SER） at the receiver. In this paper, we propose a fair and efficient PA scheme for the decode-and-forward cooperation protocol in selfish cooperative relay networks. We formulate this PA problem as a two-user cooperative bargaining game, and use Nash bargaining solution （NBS） to achieve a win-win strategy for both partner users. Simulation results indicate that the NBS is fair in that the degree of cooperation of a user only depends on how much contribution its partner can make to decrease its SER at the receiver, and efficient in the sense that the SER performance of both users could be improved through the game.

Study about the Asymmetry Competing Channel Structure under Bargaining Power

On the problem of competing channel structure, we present asymmetry competing channel structure models under bargaining power, analyze the evolving process of channel structure under different bargaining power and product nature, find different bargaining power and product nature important role for channel structure, and also present equilibrium result. Furthermore, the academic proof for channel structure choice is presented.

Study about the Competing Channel Structure under Bargaining Power

From the bargaining process, competing channel structure models are presented. The evolving process of channel structure under different bargaining power is analyzed The important role of different bargaining power is discussed and the equilibrium result is found. Also the theoretical evidences for competing channel structure choice are given.

Enhancement of Distributed Generation by Using Custom Power Device

Wind energy （WE） has become immensely popular for distributed generation （DG）. This case presents the monitoring, modeling, control, and analysis of the two-level three-phase WE based DG system where the electric grid interfacing custom power device （CPD） is controlled to perform the smart exchanging of electric power as per the Indian grid code. WE is connected to DC link of CPD for the grid integration purpose. The CPD based distributed static compensator, i.e. the distributed static synchronous compensator （DSTATCOM）, is utilized for injecting the wind power to the point of common coupling （PCC） and also acts against the reactive power demand. The novel indirect current control scheme of DSTATCOM regulates the power import and export between the WE and the electric grid system. It also acts as a compensator and performs both the key features simultaneously. Hence, the penetration of additional generated WE power to the grid is increased by 20% to 25%. The burden of reactive power compensation from grid is reduced by DSTATCOM. The modeling and simulation are done in MATLAB. The results are validated and verified.

电力系统FACTS及配电网Custom Power技术

柔性交流输电(FACTS)系统技术从根本上改变了交流输电网过去机械型、慢速、间断及不精确的控制的局面。

Key technologies of artificial intelligence in electric power customer service

As the demand for customer service continues to increase,more companies are attempting to apply artificial intelligence technology in the field of customer service,enabling intelligent customer service,reducing customer service pressure,and reducing operating costs.Currently,the existing intelligent customer service has a limited degree of intelligence and can only answer simple user questions,and complex user expressions are difficult to understand.To solve the problem of low accuracy of multi-round dialogue semantic understanding,this paper proposes a semantic understanding model based on the fusion of a convolutional neural network(CNN)and attention.The model builds an“intention-slot”joint model based on the“encoding–decoding”framework and uses hidden semantic information that combines intent recognition and slot filling,avoiding the problem of information loss in traditional isolated tasks,and achieving end-to-end semantic understanding.Additionally,an improved attention mechanism based on CNNs is introduced in the decoding process to reduce the interference of redundant information in the original text,thereby increasing the accuracy of semantic understanding.Finally,by applying the model to electric power intelligent customer service,we verified through an experimental comparison that the proposed fusion model improves the performance of intent recognition and slot filling and can improve the user experience of electric power intelligent customer services.

Research on Customer Satisfaction of Power Supply Enterprise

The time has come for all types of power generation groups and private capital to fully enter the electricity sales market. The competition for power sales is mainly reflected in the power supply service. So what is the current status of power supply enterprise services? To this point, this paper conducts a questionnaire survey on the satisfaction status of power supply services of some power users, and conducts statistics and analysis on its data, and establishes a customer satisfaction model for power supply enterprise services, and then uses weighted arithmetic average method to measure 152 online customers. The results of the satisfaction questionnaire are analyzed, and it is expected to provide reference for the power marketing system.

顾客授权行为对员工服务主动性的影响和作用机制研究

从资源保存理论视角出发,引入心理可得性和权力需要作为中介和调节变量,通过一项时间滞后的问卷设计和两项基于场景的实验设计,深入探讨了顾客授权行为对员工服务主动性的影响机制和作用边界。研究结论表明:顾客授权行为对员工服务主动性具有显著正向影响;心理可得性在顾客授权行为与员工服务主动性之间起中介作用;权力需要不仅调节顾客授权行为对员工心理可得性的直接作用,还进一步调节顾客授权行为通过员工心理可得性对其服务主动性的间接效应。

考虑公平偏好的工程总承包联合体协同优化收益分配机制研究

考虑参与方谈判能力的差异性,研究设计施工联合体优化收益分配问题,构建无公平偏好情形和具有公平偏好情形下的Nash谈判模型,得到最优收益分配方案和双方最优努力水平,分析谈判能力和公平偏好对双方决策和利润的影响。结果表明:谈判能力与施工方努力水平呈现倒“U”型趋势;而与设计方努力水平的关系受到公平偏好的调节,呈现倒“U”型和正相关两种趋势。公平偏好与设计方努力水平之间呈现负相关、倒“U”型和正相关3种趋势;当设计方谈判能力较强时,施工方适度的公平偏好可激励设计方提高努力水平;当设计方谈判能力较弱时,施工方的公平偏好会降低设计方的努力水平。以期为工程总承包联合体优化收益分配机制构建提供参考,助力工程总承包联合体共创共赢。

工业智能化如何影响劳动者工资议价能力?

本文将工业智能化与劳动者工资议价能力纳入统一分析框架,通过中国制造业A股上市企业数据构建工业智能化和劳动者工资议价能力指标,从理论与实证层面考察工业智能化对劳动者工资议价能力的影响及作用机制。研究发现,工业智能化显著提升了劳动者的工资议价能力,经过Heckman两步法、替换工具变量等检验后,结论依然稳健。机制分析表明,工业智能化通过外部高技能劳动力需求扩张效应和内部人力资本提升效应提升了劳动者工资议价能力。异质性分析发现,工业智能化对劳动者工资议价能力的提升作用对于国有企业、低融资约束企业、小规模企业、无员工福利的企业、低生活成本地区的企业更加显著。本文研究对于政府如何通过工业智能化转型提升劳动者工资议价能力、提高劳动报酬比重和完善收入分配格局具有重要政策启示。

基于特征提取的电力客户服务大数据溯源模型

为提高数据溯源算法的运行效率,基于特征提取方法提出电力客户服务大数据溯源模型。定义数据的基因组,查找数据库内的任意两个存在血缘关系的数据,以此建立数据染色体追溯模型;获取电力数据中的四类特征值,建立电力数据多次遗传的转移矩阵,基于特征提取构造电力大数据溯源路径;得出大数据溯源算法,构建电力客户服务大数据溯源模型。实验结果显示,特征提取算法在模型层数以及数据量相同时,溯源所需时间最短,算法运行速度最快。

定制农产品项目众筹参与意愿的影响因素研究——独特性需求的中介作用

为探析权力感知下消费者定制农产品决策逻辑,在回顾已有研究的基础上,文章构建了个体权力感、独特性需求和定制农产品购买意愿三者之间关系的概念模型。利用SPSS23.0为分析工具,采用逐层回归法对调研所得的449份有效问卷进行分析。结果显示:权力感对定制化农产品购买意愿和独特性需求均有显著的正向影响,独特性需求对定制化农产品购买意愿具有显著的正向影响,独特性需求部分中介了权力感对定制化农产品购买意愿的影响。研究结论有助于定制农产品生产者针对性地选择目标市场,设计合适的营销策略提升效益。

虚拟电厂两阶段准线型需求响应优化及收益共享-风险共担决策方法

末端分散式资源的需求响应(demand response,DR)是支撑电力系统灵活调节的重要形式,但末端资源通常规模大且单体容量小,迫切需要虚拟电厂(virtual power plant,VPP)等市场主体进行聚合代理,从而间接参与电网公司的调节服务。聚焦于准线型需求响应这一新兴的响应模式,重点研究VPP内部分散式资源的利益-风险互动协调策略,提出面向准线型DR的VPP两阶段优化及收益共享-风险共担决策方法,构建VPP与电网、内部用户互动协调新模式。首先,在准线型激励下VPP以整体收益最大化为目标,考虑柔性负荷响应积极度与新能源准确度因子,进行日前-日内两阶段DR优化;其次,在收益共享-风险共担决策方法下,VPP与柔性负荷共享准线型激励、与新能源共担不确定性风险,并以改进的Shapley法对内部柔性负荷进行利益分配。仿真结果表明,相较于传统DR,准线型DR给出全时段响应目标,更具有优越性;共享-共担决策吸引柔性负荷参与VPP调节,促使VPP与用户双赢。

计及电动汽车的综合能源系统多主体协同低碳经济调度

针对未充分挖掘具有源荷双重特性的电动汽车集群调度潜力以辅助电力系统低碳运行的问题,提出了计及电动汽车的综合能源系统内多主体协同低碳经济调度策略。首先,考虑综合能源系统内多主体的电能交易构建了风电主体优化运行模型、计及碳捕集与电转气系统综合灵活运行的电-热耦合系统优化运行模型以及电动汽车主体优化运行模型;其次,基于纳什谈判理论建立了综合能源系统内多主体合作运行模型,将其分解为多主体联盟效益最大化子问题和电能交易支付谈判子问题,并采用交替方向乘子法对上述两个子问题进行了分布式求解以保护各主体的隐私;最后,通过算例仿真验证了所提策略能够充分挖掘碳捕集-电转气系统和电动汽车集群支撑风电消纳实现综合能源系统碳减排的潜力,提高各主体的运行效益以及合作联盟的整体效益,有效实现综合能源系统内各主体协同互济,促进新能源消纳、提升系统低碳性和经济性。

工业机器人应用对全球价值链分工地位的影响——来自跨国面板数据的经验证据

在全球范围内日益增强的“机器换人”趋势,不仅促进当前全球化的生产组织方式和经营管理模式变革,还对全球价值链的动态演化产生重大影响。本文运用双边随机前沿分析法,测算全球价值链议价能力指数,选取2002—2019年71个经济体12个行业的面板数据,结合理论推导和实证分析,检验工业机器人应用对全球价值链分工地位的影响效应。研究结果表明,工业机器人应用对经济体各行业全球价值链分工地位有正向促进效用,且在一系列稳健性检验后,结论依然成立。究其机制,工业机器人应用通过提高全要素生产率和优化资源配置提高全球价值链分工地位。异质性分析结果表明,该效用在资本相对充裕、制度环境相对稳定的经济体和资本密集型行业上表现得更为明显。本文深化了对于工业机器人应用如何影响全球价值链分工地位的理解,为制造业智能化发展、现代化产业体系建设提供理论指导和政策参考。

基于第三方服务的楼宇集群共享储能成本优化

分布式可再生能源发电设备在城市中日益普及,配置储能是应对其出力不确定性的有效措施。采用广义纳什议价理论提出了一种基于第三方服务的楼宇集群共享储能成本优化模型。以楼宇、储能运营商在主从博弈纳什均衡时的运行成本作为谈判破裂点,建立楼宇、储能运营商多主体纳什议价模型,并等效转化为系统运行成本最小子问题和虚拟储能议价子问题。在虚拟储能议价子问题中,针对一般纳什议价过程中各主体议价能力无差异的问题,采用年度充放电量衡量楼宇对共享储能系统的贡献,并作为议价能力参数参与协商制定虚拟储能容量租赁价格。算例结果表明:纳什议价机制下楼宇和储能运营商具有平等的议价权,可获得比主从博弈机制下更低的虚拟储能容量租赁价格,从而使楼宇运行成本下降,储能运营商收益提升,实现了共享储能系统经济效益的全局最优。基于充放电量构建的议价能力参数体现了楼宇对共享储能系统贡献的差异性,可提高楼宇参与共享储能的积极性,缩短储能运营商的静态投资回收期。

考虑绿证-碳交易的多虚拟电厂混合博弈优化调度

为分析多个虚拟电厂间协同管理经济效益及低碳效益问题,提出了一种考虑绿证-碳交易的多虚拟电厂混合博弈优化调度方法。首先,建立混合博弈优化框架,分析电网运营商和虚拟电厂联盟间博弈关系。然后,构建以电网运营商为领导者、虚拟电厂为跟随者的混合博弈优化模型,并基于纳什谈判理论,将虚拟电厂成本最小化等效为联盟效益最大化和合作收益分配2个子问题。最后,将二分法和交替方向乘子法相结合求解混合博弈模型。算例分析表明所提模型能够降低虚拟电厂联盟的总成本及碳排放量,协调联盟间的运行,提升联盟经济性及低碳性,实现了联盟成员合作收益公平分配。

投资界面延伸下电网接入工程投资博弈策略

为切实降低用户办电成本,电网投资界面被要求延伸至用户红线,而其延伸成本如何在政府、电网、用户多主体间分配尚缺乏统一合理的标准。基于此,首先阐述电网投资界面延伸情况及投资主体利益诉求,并对电网接入工程投资成本进行分析;其次,以最大化各主体投资比例与其最不理想比例差距为目标,构建Nash-Harsanyi讨价还价博弈模型,通过初始投资比例、风险分担比例、合作协同能力量化谈判力水平,为电力接入费用寻求公平合理的政企共担投资策略;最后,以某经济开发区电网接入工程为例进行算例分析,结果表明,电网、用户、政府投资比例由0.65∶0.14∶0.21优化为0.61∶0.12∶0.27,三者满意度均得以提升,其中电网企业由于较高的谈判力得到最大程度提升,这有助于推动电网投资界面延伸工作,进一步优化营商环境。

基于负荷准线的5G基站虚拟电厂优化控制方法

在新型电力系统中,亟待深度挖掘需求侧资源以提升系统灵活性和新能源消纳能力。在“新基建”背景下,5G基站作为一种新型需求侧资源正迅速发展。研究如何在保证基站备用需求的前提下,由铁塔公司组建含大规模5G基站的虚拟电厂(virtual power plant,VPP)并常态化参与需求响应。首先,提出了考虑储能动态备用容量的5G基站运行可行域构建方法,建立了5G基站VPP的聚合模型。然后,建立了5G基站VPP响应负荷准线的日前优化模型,提出了适合对大规模5G基站进行协调控制的日内解聚合方法。最后,建立了含高比例新能源的区域电网仿真算例。仿真结果表明,聚合大规模基站参与准线型需求响应,可以显著降低5G基站的运行成本,同时提高电网的新能源消纳能力。