CN109344919A - A kind of construction method for the interruptible load characteristic monitoring model adapting to net load interaction - Google Patents

A kind of construction method for the interruptible load characteristic monitoring model adapting to net load interaction Download PDF

Info

Publication number
CN109344919A
CN109344919A CN201811499596.9A CN201811499596A CN109344919A CN 109344919 A CN109344919 A CN 109344919A CN 201811499596 A CN201811499596 A CN 201811499596A CN 109344919 A CN109344919 A CN 109344919A
Authority
CN
China
Prior art keywords
load
interruptible
interruptible load
construction method
monitoring model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201811499596.9A
Other languages
Chinese (zh)
Inventor
卜广峰
于翔
彭冰月
张宸
阮文青
廖良才
虞雨
吴骏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yangzhou Power Supply Co of Jiangsu Electric Power Co
Original Assignee
Yangzhou Power Supply Co of Jiangsu Electric Power Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yangzhou Power Supply Co of Jiangsu Electric Power Co filed Critical Yangzhou Power Supply Co of Jiangsu Electric Power Co
Priority to CN201811499596.9A priority Critical patent/CN109344919A/en
Publication of CN109344919A publication Critical patent/CN109344919A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Educational Administration (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Development Economics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

A kind of construction method for the interruptible load characteristic monitoring model adapting to net load interaction.It is related to the monitoring field of interruptible load, and in particular to a kind of construction method for the interruptible load characteristic monitoring model for adapting to net load interaction.Provide a kind of construction method of interruptible load characteristic monitoring model efficiently utilized that can be realized source net lotus close friend interaction and resource.The beneficial effects of the present invention are: passing through interruptible load characteristic in analysis different industries, study the load loss characteristic under interruptible load interactive model, obtain the basis of interruptible load control priority level appraisal procedure, establish the monitoring model for interrupting control load for being suitable for power grid, the preferably demand of service source net load interaction System Development.

Description

A kind of construction method for the interruptible load characteristic monitoring model adapting to net load interaction
Technical field
The present invention relates to the monitoring fields of interruptible load, and in particular to a kind of interruptible load for adapting to net load interaction is special The construction method of property monitoring model.
Background technique
Currently, clean energy resource industry development in China's is rapid, and wind-powered electricity generation, Photovoltaic generation installed capacity have leapt to the first in the world.So And with tradition compared with coal-fired, fuel gas generation, clean energy resource regulating power is poor, and power output has apparent randomness, intermittence, gives Operation of power networks increases difficulty.
With the extensive access power grid of clean energy resource power generation and the construction in transregional UHV transmission channel, power train The rigidity characteristics for source side power output of uniting are more and more prominent, and traditional normal power supplies unidirectionally adapt to the power grid operation mode of load variations, New clean energy resource consumption and safety and economic benefit requirement are not adapted to.How the height of source net lotus close friend interaction and resource is realized Effect utilizes, and promotes source net lotus soft readjustment ability, adapts to clean energy resource large-scale development trend comprehensively, realizes supply side and demand Side is precisely agreed with and Dynamic Matching, is ensured that clean energy resource fully dissolves conscientiously, is power industry significant problem urgently to be solved.
An important measures of the interruptible load as load management in a kind of demand side management, for alleviating load peak The situation of period power shortage is mainly used in peak load shifting, active service and congestion management etc., also starts to be used for now The emergent control of system.
Since extra-high voltage outskirt incoming call and randomness generation of electricity by new energy quickly increase, the secure operating environment of power grid is bad Change, need regulating measure more with capability of fast response, interruptible load can provide one kind for system and effectively adjust Resource.Jiangsu Power Grid has been achieved with the accurate real-time load control of 3,500,000 thousand watt-second grades and 1,000,000 kilowatts of Millisecond Load Emergencies Control ability.
Interruptible load specificity analysis and performance evaluation have certain research achievement, but more consideration peak load shiftings are target Tradition application, adapt to source net load interaction interruptible load modeling and measures of effectiveness research yet there are no development.
Summary of the invention
The present invention a kind of can be realized efficiently utilizing for source net lotus close friend interaction and resource in view of the above problems, providing The construction method of interruptible load characteristic monitoring model.
The technical scheme is that including the following steps:
1) several representational users, are chosen to the every a kind of industry user divided in network-wide basis and carry out investigation determination The capacity ratio of its electrical equipment constitution state and each electric appliances;
2) the industry overall characteristic of each industry user, is determined;
3) it, investigates and determines that the industry composition of substation or bus and capacity ratio obtain required integrated load model.
Several industry typical users are divided into C fuzzy classes in the step 1) and the cluster centre of every class is asked to make class Interior weighted error sum of squares function reaches minimum, is adapted with fuzzy division is introduced, Subject Matrix U allows value in 0-1 range Interior, obtaining objective function to all input parameter derivations is the smallest necessary condition, thus can determine best fuzzy classification square Battle array U and cluster centre C, the classification of typical industry user can be carried out by U.
Industry overall characteristic is true by experiment or typical characteristics according to the average characteristics of every class electrical equipment in the step 2 It is fixed.
From the loss of outage of interruptible load in the step 2, analyzing influence interruptible load loss property because Element, in conjunction with user type, control frequency, control is practiced, disadvantage ratio makees loss property analysis.
The beneficial effects of the present invention are: by interruptible load characteristic in analysis different industries, research interruptible load is mutual Load loss characteristic under dynamic model formula obtains the basis of interruptible load control priority level appraisal procedure, establishes and be suitable for electricity The monitoring model for interrupting control load of net, the preferably demand of service source net load interaction System Development.
Detailed description of the invention
Fig. 1 is present invention building model structure schematic diagram,
Fig. 2 is Spring MVC Technical Architecture figure.
Specific embodiment
The present invention is illustrated with reference to the accompanying drawing.
A kind of construction method of the monitoring model of the interruptible load characteristic of adaptation net load interaction of the invention, including it is as follows Step:
1) several representational users, are chosen to the every a kind of industry user divided in network-wide basis and carry out investigation determination The capacity ratio of its electrical equipment constitution state and each electric appliances;Several industry typical users are divided into C fuzzy classes and are asked The cluster centre of every class makes weighted error sum of squares function in class reach minimum, is adapted with fuzzy division is introduced, is subordinate to square Battle array U allows value within the scope of 0-1, and obtaining objective function to all input parameter derivations is the smallest necessary condition, is thus It can determine best fuzzy classified matrix U and cluster centre C, the classification of typical industry user can be carried out by U.
2), determine that the industry of each industry user is comprehensive by experiment or typical characteristics according to the average characteristics of every class electrical equipment Close characteristic;From the loss of outage of interruptible load, the factor of analyzing influence interruptible load loss property, in conjunction with user class Type, control frequency, control is practiced, disadvantage ratio makees loss property analysis, research different voltages grade, difference Control Cooling, no With load loss and load restoration characteristic of the control target interruptible load under different control targets;Study different industries electric power User's typical load characteristic studies power consumer under different electricity prices and incentive measure and participates in the feasibility of interruptible load and adjustable Spend potentiality;Dynamic characteristics and the adjustment costs such as study of various interruptible load response time, pondage construct all kinds of interrupt Load participates in the loopful section technical/economical models of system control;Part specially become industrial user electrical equipment have impact load or Fluctuating load, such as electric boiler, converter, rolling mill, influence of fluctuations and optimisation strategy when studying its interaction to power grid, to can Interruptible load control precision optimizes strategy study.The uncertainty of research interruptible load to the influence for controlling target and is commented Estimate method, research different type interruptible load control precision evaluation index and appraisal procedure.
3) it, investigates and determines that the industry composition of substation or bus and capacity ratio obtain required integrated load model.
Constructed model as shown in Figure 1, include that front end large-size screen monitors data display module and Back end data acquire conversion module, Client is accessed by browser, and large-size screen monitors are shown, periodic refreshing interface, is not necessarily to more new system, convenience and high-efficiency.Application server is adopted It is disposed with clustering, breaks through single machine performance bottleneck.When user volume surge and the widened occasion of business, passes through and increase server section Point can be coped with easily, reached high performance effect and enhanced the ability extending transversely of system, can effectively solve large user The problems such as server excess load caused by high concurrent caused by measuring.Using Nginx as load-balanced server and reverse proxy Server, on the one hand carrying out caching and compression processing on the other hand for the static resource of front end can take according to backend application The loading condition of business device, dynamically shares in system request to multiple server units and is executed, increase the handling capacity of system, Strengthens network data-handling capacity, the flexibility and availability for improving network.Server is greatly improved by load balancing to ring Efficiency is answered, user experience is promoted.
Using Spring MVC frame, the design and exploitation of model, Spring MVC technology frame are carried out according to layered structure Composition as shown in Fig. 2, be divided into Web layers, service layer, DAO layers, entity library layer from bottom to top;Web layers are located at system architecture Outermost layer (top layer), closest to user.For showing data and receiving the data of user's input, a kind of friendship is provided for user The interface of mutual formula operation.Service layer includes component and service, service logic, data access, rule are defined by component realization, The encapsulation of system administration etc. provides atomic service or composite services by servicing for internal system module and external system.Dao layers It is responsible for one group of class and component of storage (or acquisition) data into (either from) one or more data storage.This Layer must include the model (even if an only metadata schema) of a business scope entity, be answered by data package for upper layer The service such as specification, the storage of efficient data, data encapsulation, data mapping, data buffer storage is provided with system.Physical layer be responsible for One group of class and component of storage (or acquisition) data in (either from) one or more data storage.This layer must wrap Include the model of a business scope entity (even if an only metadata schema).It is that upper layer application system mentions by data package It is serviced for specification, the storage of efficient data, data encapsulation, data mapping, data buffer storage etc..

Claims (4)

1. a kind of construction method for the interruptible load characteristic monitoring model for adapting to net load interaction, which is characterized in that including as follows Step:
1) several representational users, are chosen to the every a kind of industry user divided in network-wide basis and carry out investigation determination The capacity ratio of its electrical equipment constitution state and each electric appliances;
2) the industry overall characteristic of each industry user, is determined;
3) it, investigates and determines that the industry composition of substation or bus and capacity ratio obtain required integrated load model.
2. a kind of construction method of interruptible load characteristic monitoring model for adapting to net load interaction according to claim 1, It is characterized in that, several industry typical users are divided into C fuzzy classes in the step 1) and the cluster centre of every class is asked to make It obtains weighted error sum of squares function in class and reaches minimum, be adapted with fuzzy division is introduced, Subject Matrix U allows value in 0-1 In range, obtaining objective function to all input parameter derivations is the smallest necessary condition, thus can determine best fuzzy point Matroid U and cluster centre C can be carried out the classification of typical industry user by U.
3. a kind of construction method of interruptible load characteristic monitoring model for adapting to net load interaction according to claim 1, It is characterized in that, industry overall characteristic is according to the average characteristics of every class electrical equipment by experiment or typical characteristics in the step 2 It determines.
4. a kind of construction method of interruptible load characteristic monitoring model for adapting to net load interaction according to claim 1, It is characterized in that, from the loss of outage of interruptible load, analyzing influence interruptible load loss property in the step 2 Factor, in conjunction with user type, control frequency, control is practiced, disadvantage ratio makees loss property analysis.
CN201811499596.9A 2018-12-09 2018-12-09 A kind of construction method for the interruptible load characteristic monitoring model adapting to net load interaction Pending CN109344919A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811499596.9A CN109344919A (en) 2018-12-09 2018-12-09 A kind of construction method for the interruptible load characteristic monitoring model adapting to net load interaction

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811499596.9A CN109344919A (en) 2018-12-09 2018-12-09 A kind of construction method for the interruptible load characteristic monitoring model adapting to net load interaction

Publications (1)

Publication Number Publication Date
CN109344919A true CN109344919A (en) 2019-02-15

Family

ID=65303261

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811499596.9A Pending CN109344919A (en) 2018-12-09 2018-12-09 A kind of construction method for the interruptible load characteristic monitoring model adapting to net load interaction

Country Status (1)

Country Link
CN (1) CN109344919A (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103646354A (en) * 2013-11-28 2014-03-19 国家电网公司 Effective index FCM and RBF neural network-based substation load characteristic categorization method
CN104268402A (en) * 2014-09-25 2015-01-07 国家电网公司 Power system load clustering method based on fuzzy c-means algorithm

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103646354A (en) * 2013-11-28 2014-03-19 国家电网公司 Effective index FCM and RBF neural network-based substation load characteristic categorization method
CN104268402A (en) * 2014-09-25 2015-01-07 国家电网公司 Power system load clustering method based on fuzzy c-means algorithm

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
李培强等: "模糊C均值聚类在电力负荷", 《湖南大学学报( 自然科学版)》 *
李欣然等: "基于统计综合负荷建模的系统方法研究", 《电力自动化设备》 *
韩肖清: "基于模糊综合评价的聚类分析在", 《山西电力》 *

Similar Documents

Publication Publication Date Title
Cheng et al. Benefits of using virtual energy storage system for power system frequency response
JP5355147B2 (en) Emission factor calculator and emission factor calculation method
Chen et al. Incorporating short-term stored energy resource into Midwest ISO energy and ancillary service market
WO2012098729A1 (en) Power demand regulation apparatus, power regulation network system, and power regulation method
US20160322823A1 (en) Energy management system for residential community
Yu et al. Price-sensitivity aware load balancing for geographically distributed internet data centers in smart grid environment
Kaur et al. An adaptive grid frequency support mechanism for energy management in cloud data centers
US20220271535A1 (en) Distributed ledger for transacting with grid constraints to ensure grid stability
CN110808600B (en) Method and system for calculating access battery energy storage station in transformer substation
Xiao et al. Decentralized transfer of contingency reserve: Concept, benefit assessment, impacting factors, and benefit mechanism
Chen et al. Method of carbon obligation allocation between generation side and demand side in power system
Arnold et al. Investigating renewable infeed in residential areas applying model predictive control
Yang et al. Distribution locational marginal pricing based equilibrium optimization strategy for data center park with spatial-temporal demand-side resources
CN114336594A (en) Energy aggregation customer monitoring and demand response scheduling system and method
CN109344919A (en) A kind of construction method for the interruptible load characteristic monitoring model adapting to net load interaction
Klaimi et al. Energy management algorithms in smart grids: State of the art and emerging trends
Takcı et al. Quantitative Evaluation of Data Centers’ Participation in Demand Side Management
CN111967647A (en) Cooperative game-based multi-subject investment proportion optimization method and system
Guo et al. Optimal power and workload management for green data centers with thermal storage
Homaee et al. Real time voltage control using emergency demand response in distribution system by integrating advanced metering infrastructure
Li et al. Case study of power allocation strategy for a grid‐side lead‐carbon battery energy storage system
Ma et al. Summary of cloud computing technology in smart grid
CN201994684U (en) Energy storage control system
Zhu et al. Load balancing algorithm for web server based on weighted minimal connections
Filipowska et al. Towards forecasting demand and production of electric energy in smart grids

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190215