WO2023179280A1 - 电网调度运行精益化评价方法 - Google Patents

电网调度运行精益化评价方法 Download PDF

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WO2023179280A1
WO2023179280A1 PCT/CN2023/077536 CN2023077536W WO2023179280A1 WO 2023179280 A1 WO2023179280 A1 WO 2023179280A1 CN 2023077536 W CN2023077536 W CN 2023077536W WO 2023179280 A1 WO2023179280 A1 WO 2023179280A1
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evaluation
power grid
lean
management
grid dispatching
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French (fr)
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罗金满
赵善龙
钟荣富
王莉娜
李晓霞
叶思淇
梁浩波
温兆聪
谭雄华
叶睿菁
易椿杰
高承芳
王湘女
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广东电网有限责任公司东莞供电局
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Publication of WO2023179280A1 publication Critical patent/WO2023179280A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
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    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
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    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
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    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Definitions

  • This application relates to the technical field of distribution network dispatching and operation, for example, to a lean evaluation method for power grid dispatching and operation.
  • This application provides a lean evaluation method for power grid dispatching operation. It uses PDCA cycle management to clarify the lean management implementation objects and plans, uses the analytic hierarchy process to establish a lean management evaluation system, determines the weight of each level of indicators, and obtains the lean management Evaluation rules; formulating corrective measures based on the evaluation results can solve the problem of lack of consideration of influencing factors in power grid dispatch management in related technologies and the inability to automatically confirm dispatch. Priority leads to problems such as complicated work content, lack of planning in the implementation process, and irregular evaluation systems.
  • a lean evaluation method for power grid dispatching operation including the following steps:
  • Step 100 Clarify the implementation objects of lean management of power grid dispatching, propose improvement goals based on basic object analysis needs, and formulate a lean management implementation plan;
  • Step 200 Use the total quality management PDCA cycle method to plan the planning process according to the improvement goals of the basic objects, and use the analytic hierarchy process to obtain evaluation indicators for the planning process;
  • Step 300 Construct a responsibility system and rules and regulations based on the evaluation indicators, establish a power grid control system based on the dispatch management system, update the power grid dispatch data in real time, and calculate the weight of the evaluation indicators based on the power grid data;
  • Step 400 Remotely monitor the on-site environment according to the weight of the evaluation index combined with the main and backup systems, and feedback the alarm information in real time to dispatch the emergency management module;
  • Step 500 Establish a long-term dynamic management evaluation mechanism using the lean value process evaluation method based on the real-time dispatch data of the dispatch management system.
  • Step 201 Taking the automation system of power grid dispatching and management as the main body, ensure the stability of the power grid based on automated operation;
  • Step 202 Access the dispatch management system to collaboratively manage the operation of the power grid based on the functional application collection application line and the automation business-based operation and maintenance line of the automation system.
  • the total quality management PDCA cycle planning and detection mechanism cycles the planning process through the Analytical Hierarchy Process, and feeds back the inspection results in real time based on the evaluation indicators.
  • the steps for obtaining evaluation indicators using the analytic hierarchy process are as follows:
  • Step 2013 Use a single criterion to sum up the judgment matrices to obtain the consistency matrix ⁇ ij .
  • the matrix ⁇ ij calculates the evaluation index ⁇ i : .
  • the consistency of a single judgment matrix is tested according to the evaluation index ⁇ i combined with the power grid data to calculate the evaluation index weight.
  • the testing steps are as follows:
  • the expression of the fuzzy relationship matrix R is: .
  • the fuzzy relationship matrix R normalizes the evaluation indicators to obtain a fuzzy comprehensive evaluation set B.
  • the expression of the fuzzy comprehensive evaluation set B is:
  • a lean value process is used to improve the evaluation mechanism based on the fuzzy comprehensive evaluation set B, and the independence between indicators is quantitatively analyzed.
  • the evaluation indicators are fed back in real time through the fuzzy comprehensive evaluation set B to dynamically adjust the power grid dispatching management mechanism.
  • this application provides a lean evaluation method for power grid dispatching operation.
  • This implementation uses PDCA cycle management to clarify the implementation objects and plans of lean management, and uses the analytic hierarchy process to establish a lean management evaluation system to determine each level.
  • the weight of indicators clearly identifies the priorities of factors that affect power grid dispatching, and achieves the goals of improving efficiency and quality through efficient processes and methods.
  • Lean evaluation rules are derived based on the weight of indicators at each level, and rectification measures are formulated based on the evaluation results to improve Power grid dispatching operation efficiency.
  • a lean evaluation method for power grid dispatching operation including the following steps:
  • Step 100 Clarify the implementation objects of lean management of power grid dispatching, propose improvement goals based on basic object analysis needs, and formulate a lean management implementation plan;
  • Step 200 Use the total quality management PDCA cycle method to plan the planning process according to the improvement goals of the basic objects, and use the analytic hierarchy process to obtain evaluation indicators for the planning process;
  • Step 300 Construct a responsibility system and rules and regulations based on the evaluation indicators, establish a power grid control system based on the dispatch management system, update the power grid dispatch data in real time, and calculate the weight of the evaluation indicators based on the power grid data;
  • Step 400 Remotely monitor the on-site environment according to the weight of the evaluation index combined with the main and backup systems, and feedback the alarm information in real time to dispatch the emergency management module;
  • Step 500 Based on the real-time dispatch data of the dispatch management system, use the lean value process evaluation method to build Establish a long-term dynamic management and evaluation mechanism.
  • the PDCA cycle lean management method is used to build a lean management system based on power grid dispatching based on the collaborative mechanism of "one subject, two lines, and multiple supports" to improve the accuracy of power grid dispatching system data and the stability of operation. performance and service reliability, and more effectively ensure the safe, high-quality and stable operation of the power grid.
  • step 100 the implementation object is obtained by matching the functional application of the scheduling management system, and a collaborative mechanism is established to analyze the requirements.
  • the specific implementation steps of the collaborative mechanism are:
  • Step 201 Taking the automation system of power grid dispatching and management as the main body, ensure the stability of the power grid based on automated operation;
  • Step 202 Access the dispatch management system to collaboratively manage the operation of the power grid based on the functional application collection application line and the automation business-based operation and maintenance line of the automation system.
  • the coordination mechanism supports one subject, two lines, and multiple support modes.
  • the one subject takes the automation system as the main body and ensures the security of power grid dispatching based on the uninterrupted, highly complex, and high-performance characteristics of the automated power grid dispatching mode. , high-quality and economical operation.
  • the two lines are mainly the application line composed of monitoring module and scheduling module and the operation and maintenance line mainly focusing on automation business. They give full play to the monitoring role of the automation system and assist each management module in real-time monitoring and analysis. , diagnose and process the operation of the power grid to ensure the efficient and uninterrupted operation of each business.
  • the multi-support is to establish a multi-party cooperative support relationship between the power grid dispatching system and other systems to facilitate convenient, fast and effective access to each management The information required by the module and quick handling of faults, restoration of normal operation, etc.
  • step 200 the total quality management PDCA cycle planning and testing mechanism cycles the planning process through the Analytical Hierarchy Process, and feeds back the inspection results in real time based on the evaluation indicators.
  • Step 2011 Identify the risk factors that affect the operation of the distribution network and establish a ladder structure model
  • Step 2013 Use a single criterion to sum up the judgment matrices to obtain the consistency matrix ⁇ ij .
  • the matrix ⁇ ij calculates the evaluation index ⁇ i : .
  • the analytic hierarchy process is used to obtain problem factors in the actual power grid dispatching process to determine evaluation indicators that can have a productive impact on risk factors.
  • the total ranking of levels obtained by the analytic hierarchy process is used to apply the calculated total ranking of a certain level to the single ranking of the target of this level and the total ranking of the previous level. It needs to be tested from high to low. Whether the results are consistent, the process is the same as that of sorting. Therefore, the single sorting of the first level by the second level is the total sorting of the second level. Therefore, the total sorting must be carried out in order from high level to low level.
  • the overall ranking of levels is used to determine the relative importance ranking of factors in a certain layer to the highest-level target, which is used to constrain the evaluation index ⁇ i .
  • the consistency of a single judgment matrix is tested based on the evaluation index ⁇ i combined with the power grid data to calculate the weight of the evaluation index.
  • the testing steps are as follows:
  • the results of the total hierarchical sorting are used to perform a consistency check and verification from the higher layer to the lower layer.
  • the evaluation factor set V ⁇ V 1 , V 2 , V 3 ...V n ⁇ is constructed based on the weight a i corresponding to the risk factor.
  • the expression of the fuzzy relationship matrix R is: .
  • the fuzzy relationship matrix R normalizes the evaluation indicators to obtain a fuzzy comprehensive evaluation set B.
  • the expression of the fuzzy comprehensive evaluation set B is:
  • the lean value process is used to improve the evaluation mechanism and quantitatively analyze the independence between indicators.
  • the fuzzy comprehensive evaluation set B reflects the impact of a single factor on the evaluation object, so that each quantitative indicator can obtain more compact data, making the error smaller.
  • the evaluation indicators are fed back in real time through the fuzzy comprehensive evaluation set B, and the power grid dispatching management mechanism is dynamically adjusted.
  • the comprehensive evaluation results obtained by adding the qualitative and quantitative index values obtained from the fuzzy comprehensive evaluation set B are used to optimize the power grid dispatching lean management system.
  • this implementation method uses PDCA cycle management to clarify the implementation objects and plans of lean management, uses the analytic hierarchy process to establish a lean management evaluation system based on actual influencing factors, determines the weight of indicators at each level, and clarifies the priority of factors affecting power grid dispatching.
  • Efficient processes and methods achieve the goals of improving efficiency and quality, and draw lean evaluation rules based on the weight of indicators at each level. Corrective measures are formulated based on the evaluation results to improve the efficiency of power grid dispatching operations.

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Abstract

一种电网调度运行精益化评价方法，包括：步骤100、明确电网调度精益化管理的实施对象，针对基础对象分析需求提出改进目标，制定精益化管理实施计划；步骤200、根据基础对象的改进目标采用全面质量管理PDCA循环法规划计划流程，步骤300、根据评价指标构造责任体系及规章制度，根据电网数据计算评价指标权重；步骤400、根据评价指标权重结合主调、备调系统远程监视现场环境，实时反馈告警信息调度应急管理模块；步骤500、依据调度管理系统的实时调度数据采用精益化价值流程评价法建立长效动态管理评价机制，并根据每层级指标的权重得出精益化评价规则，提升电网调度运转效率。

Description

电网调度运行精益化评价方法
本申请要求申请日为2022年03月24日、申请号为202210291771.5的中国专利申请的优先权，该申请的全部内容通过引用结合在本申请中。
技术领域
本申请涉及配电网调度运行技术领域，例如涉及一种电网调度运行精益化评价方法。
背景技术
随着国民经济的发展，电网的规模也在飞速发展，为了适应国家需要，提高电网企业的管理水平，为广大用户提供更优质的电能和更好的服务，国家电网公司提出了集约化、精益化管理的目标，精益化管理是其中的有效措施之一，开展电力企业精益化管理理论与实践的探索，不仅是对精益化管理理论的扩展与完善，同时也将有助于精益管理理论在电力企业的推广和应用。
相关技术中的电力行业对电网调度精益化管理体系德的适用性、现状及调度方面等还存在以下几点缺陷：
(1)相关技术中虽然将以PDCA循环管理为重点的精益化管理思想融入电网调度体系中，但结合实际考虑风险较少，无法衡量不同影响因素的权重，导致调度优先级需要人为确认，管理效率较低；
(2)相关技术中的精益化评价模式组织结构复杂，工作内容由于缺乏优先级导致内容繁杂，实施过程缺少规划，导致评价体系不规范。
发明内容
本申请提供了一种电网调度运行精益化评价方法，采用PDCA循环管理明确了精益化管理实施对象及计划，运用层次分析法建立精益化管理评价体系，确定每层级指标的权重，得出精益化评价规则；基于评价结果制定整改措施，能够解决相关技术中对于电网调度管理缺乏影响因素考量，无法自动确认调度 优先级导致工作内容繁杂、实施过程缺少规划、评价体系不规范的问题。
一种电网调度运行精益化评价方法，包括以下步骤：
步骤100、明确电网调度精益化管理的实施对象，并针对基础对象分析需求提出改进目标，制定精益化管理实施计划；
步骤200、根据基础对象的改进目标采用全面质量管理PDCA循环法规划计划流程，对计划流程采用层次分析法获取评价指标；
步骤300、根据评价指标构造责任体系及规章制度，结合调度管理系统建立电网调控体系实时更新电网调度数据，并根据电网数据计算评价指标权重；
步骤400、根据评价指标权重结合主调、备调系统远程监视现场环境，实时反馈告警信息调度应急管理模块；
步骤500、依据调度管理系统的实时调度数据采用精益化价值流程评价法建立长效动态管理评价机制。
在一个或多个实施例中，在步骤100中，通过匹配调度管理系统的功能应用获取实施对象，建立协同机制分析需求，所述协同机制具体实现步骤为：
步骤201、以电网调度管理的自动化系统为主体，基于自动化运行保障电网稳定；
步骤202、依据自动化系统的功能应用采集应用线和以自动化业务为主的运维线，接入所述调度管理系统协同管理电网运行。
在一个或多个实施例中，在步骤200中，所述全面质量管理PDCA循环法规划检测机制，通过层次分析法循环检测规划计划流程，并根据评价指标实时反馈检查结果。
在一个或多个实施例中，所述层次分析法获取评价指标的步骤如下：
步骤2011、明确影响配电网运行的风险因素，建立阶梯结构模型；
步骤2012、根据日常配电网调度状态确定系统中针对每项风险因素的评价指标aij、ajk任意的i,j,k＝1,2,3…n，构造两两比较的判断矩阵[aij]n×n＝aijajk，其中[aij]n×n表示n行n列的判断矩阵；
步骤2013、采用单准则对判断矩阵求和得到一致性矩阵ωij，依据一致性矩 阵ωij计算评价指标φi：


。
在一个或多个实施例中，根据所述评价指标φi结合电网数据检验单个判断矩阵的一致性以计算评价指标权重，检验步骤如下：
首先、从电网数据的数集R中独立地随机取数n(n-1)/2次，构造n阶判断矩阵[aij]n×n的最大特征值λmax；
其次、根据最大特征值λmax计算定义一致性指标CI：
其中，λi表示判断矩阵[aij]n×n的特征值，i＝1,2,3…n；
最后、重复以上步骤，获得足够数量的样本，计算CI的样本均值，作为随机一致性指标均值
在一个或多个实施例中，依据随机一致性指标均值获取风险因素集U＝{U1,U2,U3…Un}，其中Ui为不同风险因素，i＝1,2,3…n；结合电网调度系统风险处理优先级对不同风险因素Ui赋予相应的权数ai，i＝1,2,3…n。
在一个或多个实施例中，依据风险因素对应的权数ai构建评价因素集V＝{V1,V2,V3…Vn}，每一元素Vi代表评判结果，i＝1,2,3…n，构建从风险因素集U到评价因素集V的模糊关系矩阵R，所述模糊关系矩阵R表达式为：

。
在一个或多个实施例中，所述模糊关系矩阵R对评价指标归一化处理获得模糊综合评价集B，所述模糊综合评价集B表达式为：
其中A为由权数ai组成的n阶矩阵，i＝1,2,3…n。
在一个或多个实施例中，依据所述模糊综合评价集B采用精益化价值流程完善评价机制，定量分析指标之间独立性。
在一个或多个实施例中，依据所述精益化价值流程通过模糊综合评价集B实时反馈评价指标，动态调整电网调度管理机制。
附图说明
图1为本申请一实施方式中的精益化评价方法的流程示意图。
具体实施方式
如图1所示，本申请提供了一种电网调度运行精益化评价方法，本实施采用PDCA循环管理明确精益化管理的实施对象及计划，运用层次分析法建立精益化管理评价体系，确定每层级指标的权重，明确影响电网调度因素的优先级，通过高效的流程、方式达到提升效率、提高质量的目标，并根据每层级指标的权重得出精益化评价规则，基于评价结果制定整改措施，提升电网调度运转效率。
一种电网调度运行精益化评价方法，包括以下步骤：
步骤100、明确电网调度精益化管理的实施对象，并针对基础对象分析需求提出改进目标，制定精益化管理实施计划；
步骤200、根据基础对象的改进目标采用全面质量管理PDCA循环法规划计划流程，对计划流程采用层次分析法获取评价指标；
步骤300、根据评价指标构造责任体系及规章制度，结合调度管理系统建立电网调控体系实时更新电网调度数据，并根据电网数据计算评价指标权重；
步骤400、根据评价指标权重结合主调、备调系统远程监视现场环境，实时反馈告警信息调度应急管理模块；
步骤500、依据调度管理系统的实时调度数据采用精益化价值流程评价法建 立长效动态管理评价机制。
本实施例中，运用PDCA循环精益化管理方法，基于“一主体、两线、多支持”的协同机制，构建基于电网调度的精益化管理体系，提升电网调度系统数据的准确性、运行的稳定性和服务的可靠性，更有效的保障电网安全、优质、稳定运行。
在步骤100中，通过匹配调度管理系统的功能应用获取实施对象，建立协同机制分析需求，所述协同机制具体实现步骤为：
步骤201、以电网调度管理的自动化系统为主体，基于自动化运行保障电网稳定；
步骤202、依据自动化系统的功能应用采集应用线和以自动化业务为主的运维线，接入所述调度管理系统协同管理电网运行。
本实施例中，所述协同机制支持一主体、两线、多支持模式，所述一主体以自动化系统为主体，基于自动化电网调度模式不间断、高复杂、高性能的特性来保障电网调度安全、优质、经济运行，所述两线主要是由监控模块和调度模块等组成的应用线和以自动化业务为主的运维线，充分发挥自动化系统监控角色，辅助每个管理模块实时监视、分析、诊断、处理电网运行情况，保障每项业务的高效、不间断运转，所述多支持是以电网调度系统与其它系统建立多方配合的支持关系，便于方便、快速、有效的接入每一管理模块所需的信息以及快速处理故障、恢复正常运行等。
在步骤200中，所述全面质量管理PDCA循环法规划检测机制，通过层次分析法循环检测规划计划流程，并根据评价指标实时反馈检查结果。
所述层次分析法获取评价指标的步骤如下：
步骤2011、明确影响配电网运行的风险因素，建立阶梯结构模型；
步骤2012、根据日常配电网调度状态确定系统中针对每项风险因素的评价指标aij、ajk任意的i,j,k＝1,2,3…n，构造两两比较的判断矩阵[aij]n×n＝aijajk，其中[aij]n×n表示n行n列的判断矩阵；
步骤2013、采用单准则对判断矩阵求和得到一致性矩阵ωij，依据一致性矩 阵ωij计算评价指标φi：


。
本实施例中，所述层次分析法获取实际电网调度过程中的问题因素，以确定对风险因素能够产化影响的评价指标。
本实施例中，所述判断矩阵依据阶梯结构模型获取每一项风险因素的评价指标aij、ajk任意的i,j,k＝1,2,3…n，所述评价指标aij、ajk为某一层次的因素与上一层次相比较而得出的有关因素的重要性。
本实施例中，所述层次分析法得出的层次总排序，将计算出的某个层次的总排名用到本层次目标的单排序以及上一层次的总排序，需要由高到低进行检验结果是否一致，这一过程与排序时一样，因而第二层对于第一层的单排序就是第二层的总排序，因此总排序必须按照由高层至低层的顺序进行。
本实施例中，将层次总排序作为确定某层中因素对最高层目标的相对重要性排序，用以约束评价指标φi。
根据所述评价指标φi结合电网数据检验单个判断矩阵的一致性以计算评价指标权重，检验步骤如下：
首先、从电网数据的数集R中独立地随机取数n(n-1)/2次，构造n阶判断矩阵[aij]n×n的最大特征值λmax；
其次、根据最大特征值λmax计算定义一致性指标CI：
其中，λi表示判断矩阵[aij]n×n的特征值，i＝1,2,3…n；
最后、重复以上步骤，获得足够数量的样本，计算CI的样本均值，作为随机一致性指标均值
依据随机一致性指标均值获取风险因素集U＝{U1,U2,U3…Un}，其中Ui为不同风险因素，i＝1,2,3…n；结合电网调度系统风险处理优先级对不同风险因素Ui赋予相应的权数ai，i＝1,2,3…n。
本实施例中，采用层次总排序的结果从高一层向低一层进行一次处理的一致性检验核查，根据随机一致性指标均值获得权数ai(i＝1,2,3…n)，该过程实用性强、决策过程易于操作，通过简单的数学计算就可以解决众多决策问题。
依据风险因素对应的权数ai构建评价因素集V＝{V1,V2,V3…Vn}，每一元素Vi代表可能出现的评判结果，i＝1,2,3…n，构建从风险因素集U到评价因素集V的模糊关系矩阵R，所述模糊关系矩阵R表达式为：

。
本实施例中，采用单因素评判模式将风险因素集U＝{U1,U2,U3…Un}与评价因素集V＝{V1,V2,V3…Vn}模糊映射，应用模糊矩阵的复合运算进行综合评价，从而得到模糊综合评价判的初始模型。
所述模糊关系矩阵R对评价指标归一化处理获得模糊综合评价集B，所述模糊综合评价集B表达式为：
其中A为由权数ai组成的n阶矩阵，i＝1,2,3…n。
依据所述模糊综合评价集B采用精益化价值流程完善评价机制，定量分析指标之间独立性。
本实施例中，根据所述模糊综合评价集B反映单个因素对评价对象产生的影响，使每个定量指标得到更加具有紧密性的数据，使得误差更小。
依据所述精益化价值流程通过模糊综合评价集B实时反馈评价指标，动态调整电网调度管理机制。
本实施例中，将所述模糊综合评价集B所得到的定性、定量指标的值相加得到的综合评价结果，以优化电网调度精益化管理体系。
因此本实施方式采用PDCA循环管理明确精益化管理的实施对象及计划，运用层次分析法结合实际影响因素建立精益化管理评价体系，确定每层级指标的权重，明确影响电网调度因素的优先级，通过高效的流程、方式达到提升效率、提高质量的目标，并根据每层级指标的权重得出精益化评价规则，基于评价结果制定整改措施，提升电网调度运转效率。

Claims (7)

  1. 一种电网调度运行精益化评价方法，包括：
    步骤100、明确电网调度精益化管理的实施对象，并针对基础对象分析需求提出改进目标，制定精益化管理实施计划；
    步骤200、根据基础对象的改进目标采用全面质量管理PDCA循环法规划计划流程，对计划流程采用层次分析法获取评价指标；
    步骤300、根据评价指标构造责任体系及规章制度，结合调度管理系统建立电网调控体系实时更新电网调度数据，并根据电网数据计算评价指标权重；
    步骤400、根据评价指标权重结合主调、备调系统远程监视现场环境，实时反馈告警信息调度应急管理模块；
    步骤500、依据调度管理系统的实时调度数据采用精益化价值流程评价法建立长效动态管理评价机制；
    在步骤100中，通过匹配调度管理系统的功能应用获取实施对象，建立协同机制分析需求，所述协同机制具体实现步骤为：
    步骤201、以电网调度管理的自动化系统为主体，基于自动化运行保障电网稳定；
    步骤202、依据自动化系统的功能应用采集应用线和以自动化业务为主的运维线，接入所述调度管理系统协同管理电网运行；
    在步骤200中，所述全面质量管理PDCA循环法规划检测机制，通过层次分析法循环检测规划计划流程，并根据评价指标实时反馈检查结果；
    所述层次分析法获取评价指标的步骤如下：
    步骤2011、明确影响配电网运行的风险因素，建立阶梯结构模型；
    步骤2012、根据日常配电网调度状态确定系统中针对每项风险因素的评价指标aij、ajk任意的i,j,k＝1,2,3…n，构造两两比较的判断矩阵[aij]n×n＝aijajk，其中[aij]n×n表示n行n列的判断矩阵；
    步骤2013、采用单准则对判断矩阵求和得到一致性矩阵ωij，依据一致性矩阵ωij计算评价指标φi：

  2. 根据权利要求1所述的电网调度运行精益化评价方法，其中，根据所述评价指标φi结合电网数据检验单个判断矩阵的一致性以计算评价指标权重，检验步骤如下：
    首先、从电网数据的数集R中独立地随机取数n(n-1)/2次，构造n阶判断矩阵[aij]n×n的最大特征值λmax；
    其次、根据最大特征值λmax计算定义一致性指标CI：
    其中，λi表示判断矩阵[aij]n×n的特征值，i＝1,2,3…n；
    最后、重复以上步骤，获得足够数量的样本，计算CI的样本均值，作为随机一致性指标均值
  3. 根据权利要求2所述的电网调度运行精益化评价方法，其中，依据随机一致性指标均值获取风险因素集U＝{U1,U2,U3…Un}，其中Ui为不同风险因素，i＝1,2,3…n；结合电网调度系统风险处理优先级对不同风险因素Ui赋予相应的权数ai，i＝1,2,3…n。
  4. 根据权利要求3所述的电网调度运行精益化评价方法，其中，依据风险因素对应的权数ai构建评价因素集V＝{V1,V2,V3…Vn}，每个元素Vi代表评判结果，i＝1,2,3…n，构建从风险因素集U到评价因素集V的模糊关系矩阵R，所述模糊关系矩阵R表达式为：
  5. 根据权利要求4所述的电网调度运行精益化评价方法，其中，所述模糊关系矩阵R对评价指标归一化处理获得模糊综合评价集B，所述模糊综合评价集B 表达式为：
    其中A为由权数ai组成的n阶矩阵，i＝1,2,3…n。
  6. 根据权利要求5所述的电网调度运行精益化评价方法，其中，依据所述模糊综合评价集B采用精益化价值流程完善评价机制，定量分析指标之间独立性。
  7. 根据权利要求6所述的电网调度运行精益化评价方法，其中，依据所述精益化价值流程通过模糊综合评价集B实时反馈评价指标，动态调整电网调度管理机制。
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