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As a key application of smart grid technologies, the smart distribution network (SDN) is expected to have a high diversity of equipment and complexity of operation patterns. Situational awareness (SA), which aims to provide a critical visibility of the SDN, will enable a significant assurance for stable SDN operations. However, the lack of systematic evaluation through the three stages of perception, comprehensive, and prediction may prevent the SA technique from effectively achieving the performance necessary to monitor and respond to events in SDN. To analyze the feasibility and effectiveness of the SA technique for the SDN, a comprehensive evaluation framework with specific performance indicators and systematic weighting methods is proposed in this paper. Besides, to implement the indicator framework while addressing the key issues of human expert scoring ambiguity and the lack of data in specific SDN areas, an improved interval-based analytic hierarchy process-based subjective weighting and a multi-objective programming method-based objective weighting are developed to evaluate the SDN SA performance. In addition, a case study in a real distribution network of Tianjin, China is conducted whose outcomes verify the practicality and effectiveness of the proposed SA technique for SDN operating security. 相似文献
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目前,配电网运行评估主要集中在状态等级的确定方面,对发展趋势的分析较少,导致无法识别运行过程中的薄弱环节。同时,考虑到集对分析法的联系度采用线性处理进行量化分析,结果难以客观反映工程实际状况。为此,结合集对分析和云模型构建中压配电网运行状态评价模型,并引入博弈论构建最优组合权重模型。将两种模型的结果加权确定出综合云联系度,生成对应的状态云图以掌握配电网的运行状态。再根据各指标偏联系数的发展态势,识别出配电网运行过程中的潜在风险。最后,以宜昌市内3个地区的运行数据为例验证模型的合理性,评估结果与实际运行情况相符。同时,各地配电网的置信因子均小于0.01,验证了模型的有效性。研究成果可用于指导工程实践。 相似文献
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With multiple microgrids (MGs) integrated into power distribution networks in a distributed manner, the penetration of renewable energy like photovoltaic (PV) power generation surges. However, the operation of power distribution networks is challenged by the issues of multiple power flow directions and voltage security. Accordingly, an efficient voltage control strategy is needed to ensure voltage security against ever-changing operating conditions, especially when the network topology information is absent or inaccurate. In this paper, we propose a novel data-driven voltage profile improvement model, denoted as system-wide composite adaptive network (SCAN), which depends on operational data instead of network topology details in the context of power distribution networks integrated with multiple MGs. Unlike existing studies that realize topology identification and decision-making optimization in sequence, the proposed end-to-end model determines the optimal voltage control decisions in one shot. More specifically, the proposed model consists of four modules, Pre-training Network and modified interior point methods with adversarial networks (Modified IPMAN) as core modules, and discriminator generative adversarial network (Dis-GAN) and Volt convolutional neural network (Volt-CNN) as ancillary modules. In particular, the generator in SCAN is trained by the core modules in sequence so as to form an end-to-end mode from data to decision. Numerical experiments based on IEEE 33-bus and 123-bus systems have validated the effectiveness and efficiency of the proposed method. 相似文献
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为了实现智能电网“源-网-荷-储”协调互动优化运行的目标,需要对发、输、变、配、用“物理一张网”进行数字建模,构建为各个业务部门提供数据服务的“电网拓扑结构关联一张图”。文章在介绍智能电网构成和云雾边技术架构的基础上,提出了基于变电站自动化系统和智能台区分别建设能量管理系统的雾节点和边节点,对“电网一张图”提供在线维护和自动更新的策略,然后讨论了这一策略涉及到的图数据库与电力图计算、电网图模型在线更新、低压配电网拓扑结构辨识等关键技术。此策略将“源-网-荷-储”各种环节以“电网一张图”的形式紧密连接,为智能电网的高效运行提供了技术基础。 相似文献
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基于主客观赋权VIKOR法的电网应急能力评价方法 总被引:1,自引:0,他引:1
考虑到电网运行的复杂性,为了尽可能地减少大面积停电事故造成的损害,研究电网应急能力评价非常必要。采用G1和变异系数法相结合的主客观赋权方法对电网应急能力评价指标体系进行权重赋值,减少了评价过程中单种方法过于片面的影响,并运用VIKOR法防止个别指标的消极影响被其他指标中和,使评价结果更接近理想情况,进而建立了一种基于主客观赋权VIKOR法的电网应急能力评价模型。将该模型应用于浙江省5个城市的电网应急能力评价中,验证了模型的有效性。 相似文献
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近年来,随着移动智能终端的迅猛增长,集移动互联网和云计算的移动云计算技术受到学术界和工业界越来越多的关注.结合4G、5G及WiFi的发展,移动设备的便携性和存储能力给用户带来丰富的移动应用体验.移动云计算作为新兴技术,5G网络最重要的技术之一,是移动通信领域的研究热点.目前移动云计算技术仍处在发展期,许多问题亟待解决,... 相似文献
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由于健康指标权重随机性会导致风电机组状态评估灵敏度降低,提出一种评估风电机组健康状态的随机组合赋权模糊评价方法。首先,通过相关性、方差、偏度等多角度分析风电场采集与监视控制系统(SCADA)数据,结合IEC61400-1标准建立机组健康状态评估指标架构,并基于随机因子优化组合权重得到赋权公式,提高评估指标层权重的准确性。其次,为充分覆盖评估指标数据劣化度,基于岭型分布函数建立健康指标劣化隶属度计算函数。结合随机组合权重和隶属度函数,构建风电机组健康状态模糊综合评价数学模型。通过分层评估风电机组健康状态指标架构,得到机组健康等级并实现故障预警。最后,对大连驼山风电场多台机组进行评估试验,结果表明:该文方法能准确评估出风电机组健康状态等级,相比组合赋权云模型方法,灵敏度提高了1.85%。 相似文献
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针对现有XLPE电缆绝缘老化状态评估方法缺乏综合性评估和可靠性差的问题,通过综合试验数据分析,提出一种基于集对分析动态加权法的电缆绝缘老化状态评估方法。首先为统一计算评估体系中各指标参量的相对观测值,提出了"等价失效值"的概念,然后利用集对分析法求解各参量与状态等级之间的联系度,最后引入动态加权函数求解各性能指标与状态等级的总体联系度以获取评估结果。实例分析表明,所提方法在电缆绝缘老化状态评估上综合性强、可靠性高且简洁有效;所构造的绝缘老化规律曲线能够较好地反映该区域电缆绝缘老化情况,可为该区域现役电缆运维及电网改造提供指导。 相似文献
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摘要:电能质量综合评估是电能质量定价的主要依据之一。本文采用理想区间模型对电能质量进行综合评估。首先,分别采用线性目标规划模型和变异系数法确定主观与客观权重,根据博弈论集化的思想求取各指标的综合权重;其次,基于理想区间模型计算样本指标值与理想区间的贴近度,从而对电能质量进行综合评估;最后,运用算例验证该方法的可行性和合理性。该方法不仅能整体评估电能质量,且可细化同一等级内质量差异。 相似文献
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为提升智能配电网电能质量,提出一种基于模块化多电平型电力电子变压器的直流微网构架及其综合控制策略,对分布式电源并网方式进行简化,设计MMC-PET及风光储系统的控制器,对智能配电网中电压深度跌落、三相不平衡等电能质量问题进行治理。在PSCAD/EMTDC平台搭建基于MMC-PET的直流微网风光储系统仿真模型,进行仿真分析总结,结果表明该方法很大程度地提高了新能源接入适应性,具备更快的动态响应速度和更强的鲁棒性,能有效改善智能配电网电能质量。 相似文献
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基于区间数的多指标灰靶模型在智能变电站综合评价中的应用 总被引:1,自引:0,他引:1
鉴于智能变电站评价是推进新一代智能变电站乃至电网建设亟待解决的问题,借鉴智能电网示范工程的评估体系,首先建立远期智能变电站建设方案的评价指标体系框架,然后针对其评价指标值的不确定性特性,提出一种基于区间数的多指标灰靶模型。利用区间数理论给出智能变电站评价指标的区间值,以此作为评价的模拟决策数据,再利用多指标灰靶模型对各个模拟建设方案进行综合评价。将提出的模型应用于变电站建设方案评价比选,得到的结论较好地验证了该模型的可用性。 相似文献
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针对模糊综合水质评价法在权重赋值方面的不足,通过基于博弈论集合的模型,对模糊层次分析法(FAHP法)计算的主观权重和CRITIC法计算的客观权重进行组合赋权,提出基于FAHP-CRITIC-博弈论组合赋权的模糊综合水质评价法。以江苏省泰州市姜堰区5条骨干河道为例,根据最大隶属度原则确定水质综合类别;同时,将新建方法评价结果与传统综合水质标识指数法、传统模糊综合水质评价法及基于AHP法和熵权法的模糊综合水质评价法评价结果进行对比分析。结果表明,基于博弈论组合赋权改进的模糊综合水质评价法兼顾主、客观权重,指标赋权更加科学,且评价结果与实际情况较为相符,从而验证了该方法的正确性和合理性。 相似文献
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《Energy Policy》2013
Electrification of transport fleets and heating sectors is seen as one of the key strategies to further reduce the use of fossil fuels and the resulting greenhouse gas emissions. However, it will potentially cause a significant increase of electricity peak demand and have adverse consequences on the electricity system, in particular on distribution networks. This paper will address the benefits of various applications of smart network control and demand response technologies for enhancing the integration of these future load categories, and for improvements in operation management and efficient use of distribution network assets. A range of numerical simulations have been carried out on different distribution network topologies (rural and urban networks) to identify the need and the cost of network reinforcement required to accommodate future load under various operating strategies such as Business as Usual (passive demand and passive network) against the smart grid approach. Applications of smart Plug-in vehicle (PiV) charging, smart heat pumps, and optimised control of network voltage regulators to reduce network investment have been studied, and selected key results of our studies on evaluating the benefits of implementing these technologies for Great Britain's distribution networks are presented and discussed in this paper. 相似文献
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在分析智能配电网常见供电模式进行的基础上,对配电双环网的特点进行探讨。以一个配电双环网供电模型为例,对其电网结构特点、运行模式等方面展开分析。针对该模型,研究双环网供电模式中的各种故障类型、故障区域,并得出相应类型故障的最佳处理方案。 相似文献