CN112234614B - Power distribution network bearing capacity assessment method considering heat accumulation type electric heating large-scale access - Google Patents

Power distribution network bearing capacity assessment method considering heat accumulation type electric heating large-scale access Download PDF

Info

Publication number
CN112234614B
CN112234614B CN202011064474.4A CN202011064474A CN112234614B CN 112234614 B CN112234614 B CN 112234614B CN 202011064474 A CN202011064474 A CN 202011064474A CN 112234614 B CN112234614 B CN 112234614B
Authority
CN
China
Prior art keywords
electric heating
load
type electric
accumulating type
heat accumulating
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.)
Active
Application number
CN202011064474.4A
Other languages
Chinese (zh)
Other versions
CN112234614A (en
Inventor
宋盼盼
张宇萱
吴定宸
徐飞
陈磊
闵勇
程特
丁恒春
周丽霞
魏名山
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.)
Tsinghua University
State Grid Corp of China SGCC
Beijing Institute of Technology BIT
State Grid Jibei Electric Power Co Ltd
Original Assignee
Tsinghua University
State Grid Corp of China SGCC
Beijing Institute of Technology BIT
State Grid Jibei Electric Power Co Ltd
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 Tsinghua University, State Grid Corp of China SGCC, Beijing Institute of Technology BIT, State Grid Jibei Electric Power Co Ltd filed Critical Tsinghua University
Priority to CN202011064474.4A priority Critical patent/CN112234614B/en
Publication of CN112234614A publication Critical patent/CN112234614A/en
Application granted granted Critical
Publication of CN112234614B publication Critical patent/CN112234614B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24DDOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D19/00Details
    • F24D19/10Arrangement or mounting of control or safety devices
    • F24D19/1096Arrangement or mounting of control or safety devices for electric heating systems
    • 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067Enterprise or organisation modelling
    • 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/28The renewable source being wind energy
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00Integration of renewable energy sources in buildings
    • Y02B10/10Photovoltaic [PV]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Marketing (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Educational Administration (AREA)
  • Health & Medical Sciences (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Power Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Combustion & Propulsion (AREA)
  • Chemical & Material Sciences (AREA)
  • Thermal Sciences (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a power distribution network bearing capacity assessment method considering heat accumulating type electric heating large-scale access, and belongs to the technical field of heat accumulating type electric heating and power distribution networks. According to the method, based on the difference of different user types in the city on the heating demand, the bearing capacity of the heat accumulating type electric heating access power distribution network in different functional areas is analyzed independently; through establishing an electric heating load time and space model, the heat accumulating type electric heating load space-time distribution of different functional areas is obtained, the heat accumulating type electric heating electric load peak value is obtained, and the heat accumulating type electric heating electric utilization simultaneous rate is finally obtained; based on distribution transformer load capacity, user basic power consumption load and different application environment to the critical permeability of heat accumulation formula electric heating equipment is as the aassessment index, assesses the distribution network bearing capacity, thereby the distribution network of rational planning heat accumulation formula electric heating equipment inserts the volume, solves the distribution network operation safety problem that the heat accumulation formula electric heating load unmatched and caused with the current bearing capacity of distribution network.

Description

Power distribution network bearing capacity assessment method considering heat accumulation type electric heating large-scale access
Technical Field
The invention relates to a power distribution network bearing capacity assessment method considering heat accumulating type electric heating large-scale access, and belongs to the technical field of heat accumulating type electric heating and power distribution networks.
Background
Electric heating is a new heating technology and is currently widely applied in European and American countries. In recent years, electric heating is widely concerned and vigorously developed in order to solve the problem of environmental pollution caused by coal-fired heating in winter in northern areas of China. The electric heating mode is flexible due to arrangement, operation and heating, and the proportion of electric energy consumption at the terminal is improved. The electric heating mode comprises centralized heating facilities such as an electric boiler and the like, distributed electric heating facilities such as a heating cable, an electric heating film and the like and various electric driven heat pumps. By the end of 2019, 219.6 thousands of households of coal-to-electricity were completed in Jingjin Ji area, and the victory of the blue sky guard war is effectively supported.
The coal-to-electricity implementation process has some key problems which need to be solved urgently. Firstly for other power consumption loads, electric heating equipment inserts the distribution network, and power consumption power is big, and the power consumption coincidence is high, and the stack effect is obvious, and peak power is big during the operation, and is required highly to the bearing capacity of distribution network. When 'coal changes electricity' is carried out in old areas, the power distribution network usually needs to be expanded and modified, investment cost and construction difficulty are obviously increased, and electric heating development is severely restricted. Secondly, the electric heating equipment belongs to typical seasonal loads, and the northern area of China has long heating seasons and large heating requirements. But the summer time is relatively short, the refrigeration demand is small, and the summer air-conditioning load is not large in the heating season. Therefore, after the electric heating load is accessed in a large scale, the phenomena of heavy line load in the heating season and light line load in the non-heating season can be caused, the operation efficiency of a power grid is seriously influenced, and the asset utilization rate of the power distribution network is reduced.
The scale electric heating equipment is connected to the power grid, and the generated adverse effects are mainly summarized into two aspects: firstly, the sharp increase of electric heating equipment quantity, the transformer facility supporting with it also will increase gradually, and this makes the structure and the load nature of distribution network change, and the planning criterion of traditional distribution network can't satisfy the access of large-scale electric heating equipment. Secondly, the large-scale electric heating equipment is connected into a power grid for power utilization, the load of the power distribution network is increased by the peak, the pressure of the power grid is greatly increased, and the bearing capacity of the power distribution network is limited. Specifically, the electrical heating load mainly affects both the quality of the electrical energy and the economic operation of the distribution grid. Regarding to the influence to the electric energy quality, because the power consumption action of electric heating equipment is closely related with environmental change and resident's life and work rule, so daily power consumption peak probably overlaps with electric heating equipment power consumption load access electric wire netting charging time, and this makes the distribution network load aggravate, and the voltage drop increases to lead to the voltage can not satisfy corresponding standard, the situation of voltage unstability will appear in the serious condition. In the aspect of economic operation, a large number of electric heating equipment can increase the network loss of a power distribution network and shorten the service life of a transformer. The power demand of the corresponding distribution network nodes can be increased due to the fact that a large number of electric heating devices are used for centralized power utilization in winter, so that the loss of a power supply line is increased, the 'congestion' of the distribution network is aggravated, and overload operation of the distribution network in a local area can be caused in serious cases. Therefore, it is necessary to research the influence of the heat accumulating type electric heating on the bearing capacity of the power distribution network when the heat accumulating type electric heating is connected to the power distribution network and provide a method for evaluating the bearing capacity of the power distribution network. At present, patents related to the research on the bearing capacity of the power distribution network after the heat accumulating type electric heating is accessed in a large scale are disclosed.
Disclosure of Invention
The invention discloses a power distribution network bearing capacity assessment method considering heat accumulating type electric heating large-scale access, which aims to solve the technical problems that: based on the difference of different user types in the city on heating demands, carrying capacity of the heat accumulating type electric heating access power distribution network in different functional areas is analyzed independently; by establishing an electric heating load time and space model, the time-space distribution of the heat accumulating type electric heating loads of different functional areas is obtained, the peak value of the heat accumulating type electric heating electric load is obtained, and the heat accumulating type electric heating electricity utilization simultaneous rate is finally obtained; based on distribution transformer load capacity, user basic power consumption load and different application environment to the critical permeability of heat accumulation formula electric heating equipment is as the aassessment index, assesses the distribution network bearing capacity, thereby the distribution network of rational planning heat accumulation formula electric heating equipment inserts the volume, solves the distribution network operation safety problem that the heat accumulation formula electric heating load unmatched and caused with the current bearing capacity of distribution network.
The purpose of the invention is realized by the following technical scheme:
the invention discloses a power distribution network bearing capacity evaluation method considering heat accumulating type electric heating large-scale access, which is characterized by establishing a space-time model of heat accumulating type electric heating equipment, determining the specific position of each region and summarizing the distribution of the number of the heat accumulating type electric heating equipment used by various user groups in different functional regions on the space. The functional area is divided into a residential area, a business area and an industrial area. And establishing a heating demand model of each area, and simulating to obtain the load space-time distribution condition of the heat accumulating type electric heating equipment in different functional areas. And determining the electricity utilization coincidence rate of the heat accumulating type electric heating in each area according to the number of the heat accumulating type electric heating users in different functional areas and the space-time distribution of the load.
And determining the number of all the users, the basic power load of each user and the basic power utilization simultaneous rate of different functional areas according to different area types, and determining the basic power load of each area. And determining the total capacity of the distribution transformer in each area according to the basic power load, the power planning margin and the power factor of different areas.
According to the basic electric load and the maximum active value of the electric load for the heat accumulating type electric heating in different areas, the power utilization simultaneous rate of the basic load and the heat accumulating type electric heating load of the power distribution network is calculated, the critical permeability of the heat accumulating type electric heating is finally obtained, and the bearing capacity of the power distribution network is analyzed and evaluated by the critical permeability of the heat accumulating type electric heating.
The permeability of the heat accumulating type electric heating refers to the ratio of the number of users in a certain region to the number of all living households in the region, and represents the popularity of the heat accumulating type electric heating. And critical permeability, namely the permeability corresponding to the maximum bearing capacity allowed by the power distribution network after the heat accumulating type electric heating equipment is connected to the power distribution network.
The invention discloses a power distribution network bearing capacity assessment method considering heat accumulating type electric heating large-scale access, which comprises the following steps of:
the method comprises the following steps: the method comprises the steps of performing space-time modeling on heat accumulating type electric heating equipment to obtain load space-time changes of the heat accumulating type electric heating equipment in different functional areas, obtaining heat accumulating type electric heating electric load peak values of the different functional areas according to the load space-time changes, and determining the heat accumulating type electric heating electric simultaneous rate of the different functional areas by utilizing the maximum active value of the heat accumulating type electric heating electric load according to the number of heat accumulating type electric heating users of the different functional areas.
The method comprises the steps of establishing a space-time model of heat accumulating type electric heating equipment according to types, position distribution and user requirements of different functional areas, simulating the space-time distribution of electric heating power loads by using a Monte Carlo method, and determining the heat accumulating type electric heating power utilization simultaneous rate of different functional area nodes by using a heat accumulating type electric heating power load formula (1) and a heat accumulating type electric heating power utilization simultaneous rate formula (2) according to the number of electric heating users of different functional areas.
Figure BDA0002713354270000031
Figure BDA0002713354270000032
Wherein, P' H The peak value of the electric load for heat accumulating type electric heating in a certain area is obtained; p is H The maximum active value of the electric load for heat accumulating type electric heating in a certain area; p Heat For heat-accumulating electric heatingElectric power, KW; eta is the electricity utilization efficiency of the heat accumulating type electric heating; epsilon is the electricity utilization rate of heat accumulating type electric heating in a certain area; n is a radical of hydrogen Heat The number of current heat accumulating type electric heating users in a certain area.
The electric load peak value for the heat accumulating type electric heating in different functional areas can also be obtained through research.
Step two: and determining the basic electricity loads of different functional areas according to the number of regional electricity users of different functional areas, the basic load value of each household and the basic electricity utilization simultaneous rate. And determining the total capacity of the distribution transformer in different areas meeting the actual transformer capacity constraint according to the basic electrical loads in different areas.
And (3) determining the basic electricity loads of the different functional areas by using a basic electricity load formula (3) based on the influences of the number of regional electricity users of the different functional areas, the basic load value of each user and the basic electricity utilization simultaneous rate on the basic electricity loads of the different functional areas.
P Load =pN R μ (3)
Wherein, P Load Electric load for a certain area base, KW; p is the basic load value of each user, KW/user; n is a radical of R The number of all power users in a certain area is counted; mu is the basic electricity utilization rate of a user in a certain area.
Preferably, the user basic load value p and the basic electricity utilization simultaneous rate mu are selected by referring to the latest electrical design specifications of different building types.
And (3) determining the total capacity of the distribution transformer in different functional areas by utilizing a distribution transformer capacity formula (4) and substituting the basic power load, the power utilization planning margin and the power utilization load power factor.
Figure BDA0002713354270000033
Wherein S represents the total capacity of the distribution transformer, kVA; delta is the power utilization planning margin; cos phi is the electrical load power factor.
Because distribution transformers with different voltage grades all have corresponding standard values, the transformer capacity obtained by the formula (4) also needs to meet the constraint of the actual transformer capacity, and the specific constraint relation is shown as the formula (5).
S L ≤S≤S H (5)
Wherein S is L 、S H Sequentially representing the lower limit and the upper limit of the transformer capacity of different functional areas, and selecting S to ensure the safe and reliable operation of the power distribution network H The calculated value of the capacity is replaced by the real capacity of the distribution transformer.
Upper limit of transformer capacity S H The total capacity of the distribution transformer in a certain area meeting the capacity constraint of the actual transformer is determined.
Step three: and (4) calculating the electricity utilization concurrency rate of the basic load of the power distribution network and the heat accumulating type electric heating load by combining the first step and the second step, and further calculating the critical permeability rate of the heat accumulating type electric heating in different functional areas, namely realizing the evaluation of the bearing capacity of the power distribution network considering the large-scale access of the heat accumulating type electric heating.
And (4) combining the maximum active value of the heat accumulating type electric heating electric load obtained in the first step with the user electric base load in different areas in the second step to obtain the power utilization concurrence rate of the power distribution network base load and the heat accumulating type electric heating load. And then according to the maximum active value of the electric load of the heat accumulating type electric heating and the heat accumulating type electric heating electricity utilization simultaneous rate in the step one, the number of regional users, the basic electricity utilization simultaneous rate of the users, the basic load value of each household of the regional users and the total capacity of the distribution transformer in the step two, and the given maximum load rate of the transformer and the heat accumulating type electric heating electricity utilization power are combined to obtain the heat accumulating type electric heating critical permeability of different functional areas.
Figure BDA0002713354270000041
Wherein (P) Total ) max The maximum value of the total power load of the power distribution network is obtained; p is Load A base electrical load for a certain area; p H The maximum active value of the electric load is the heat accumulating type electric heating; xi is the power utilization simultaneous rate of the basic load of the power distribution network and the heat accumulating type electric heating load, xi is an element (0,1), the bigger xi is,the higher the superposition degree of the maximum active value of the electric load for heat accumulating type electric heating and the maximum value of the basic load of the power distribution network is.
Figure BDA0002713354270000042
Wherein, K R max The critical permeability of the heat accumulating type electric heating system is obtained; s H The total capacity of the distribution transformer; phi is the maximum load rate of the transformer; cos phi is the power factor of the electrical load; p is the basic load value of each household of the regional users; n is a radical of R The number of all users in the area; mu is the basic electricity utilization rate of the user; epsilon is the electricity consumption concurrency rate of the heat accumulating type electric heating; p Heat The electric power is used for heat accumulating type electric heating.
Critical permeability K R max Namely the maximum bearing capacity of the power distribution network to the heat accumulating type electric heating.
The space-time distribution of the heat accumulating type electric heating load is related to the geographical positions of different functional areas and the distribution of specific positions of heat accumulating type electric heating users, the simultaneous rate of the heat accumulating type electric heating power is high in the area with concentrated positions of the electric heating users, the overload phenomenon easily occurs to a distribution transformer, the critical permeability of the heat accumulating type electric heating can be reduced, and the bearing capacity of a power distribution network is weakened.
The heat accumulating type electric heating operation control strategy is divided into a conventional operation mode, a time-sharing operation mode and a flexible operation mode. The conventional operation mode is the heat accumulating type electric heating constant load operation, so that the maximum value of the total electric load of the power distribution network is kept unchanged, and the critical permeability of the heat accumulating type electric heating is not influenced; the time-sharing operation mode of the heat accumulating type electric heating can reduce the maximum value of the total power load of the power distribution network during the peak, prevent the distribution transformer from overloading, and improve the critical permeability of the heat accumulating type electric heating, thereby improving the bearing capacity of the power distribution network; the flexible operation mode can adjust the demand of user's heat load under the prerequisite that does not influence user's travelling comfort, need not satisfy real-time supply and demand balance, can reduce the maximum value of distribution network total power consumption load during the peak, prevents that distribution transformer from appearing the overload phenomenon, improves the critical permeability of heat accumulation formula electric heating to improve the distribution network bearing capacity.
The electric energy form of renewable energy sources is wind power generation, solar power generation and biomass power generation, the form of the power distribution network and the form of the power supply is reasonably configured, the maximum value of the total power load of the power distribution network during peak can be reduced, the overload phenomenon of a power distribution transformer is prevented, the critical permeability of heat accumulating type electric heating is improved, and the bearing capacity of the power distribution network is improved.
With the development of heat accumulating type electric heating in recent years, the number of heat accumulating type electric heating users is continuously increased, and the permeability is increased. And when the permeability is higher than the critical permeability, the electric load can exceed the maximum bearing capacity of the power distribution network, and control measures need to be taken for increasing the quantity of heat accumulating type electric heating or the power distribution network needs to be upgraded and modified so as to ensure the safe and reliable operation of the power distribution network.
Step four: the bearing capacity evaluation result of the power distribution network in the third step is applied to solve the following technical problems:
(4.1) the power distribution network in the coal-to-electricity region is subjected to capacity expansion transformation according to the bearing capacity of the power distribution network, so that the investment cost and the construction difficulty are reduced, and the use and the development of heat accumulating type electric heating are facilitated.
(4.2) the bearing capacity of the power distribution network accessed in a large-scale mode for heat accumulating type electric heating is evaluated, the structure of the power distribution network can be reasonably planned and configured, the load of the power distribution network is prevented from being aggravated in a peak period of power utilization, the voltage drop is increased, the electric energy quality cannot meet the corresponding standard, and the production and life of citizens are influenced.
And (4.3) the condition that a large number of heat accumulating type electric heating equipment are subjected to centralized power utilization in winter to cause overload operation of the power distribution network is prevented, the network loss of the power distribution network is reduced, the service life of the transformer is prolonged, and therefore the economic operation cost is reduced.
Has the advantages that:
1. the invention discloses a power distribution network bearing capacity assessment method considering heat accumulating type electric heating large-scale access, which starts from the difference of different user types of residential areas, commercial areas and industrial areas in cities on heating demands, and can independently analyze the bearing capacity of heat accumulating type electric heating access power distribution networks of different functional areas based on the load space-time distribution of equipment in each area.
2. According to the bearing capacity assessment method considering the large-scale access of the heat accumulating type electric heating to the power distribution network, the heat accumulating type electric heating critical permeability is selected as an assessment index, the critical permeability is reduced when the electric heating user concentration is analyzed, the critical permeability is improved when the heat accumulating type electric heating operation control strategy and the renewable energy source supply are analyzed, and the bearing capacity of the large-scale access power distribution network of the heat accumulating type electric heating is assessed. After the permeability of the heat accumulating type electric heating is higher than the critical permeability, and the electric load exceeds the maximum bearing capacity of the power distribution network, control measures are required to be taken for increasing the quantity of the heat accumulating type electric heating or the capacity expansion transformation is carried out on the power distribution network so as to ensure the safe and reliable operation of the power distribution network.
3. According to the load-bearing capacity evaluation method considering the large-scale access of the heat accumulating type electric heating to the power distribution network, the overload phenomenon of the power distribution transformer can be prevented according to the heat accumulating type electric heating operation control strategy and the supply of renewable energy sources, the reasonable planning and configuration of the power distribution network structure are promoted, the network loss of the power distribution network is reduced, the service life of the transformer is prolonged, and therefore the economic operation cost is reduced. The load of a power distribution network is increased in a power utilization peak period, and the voltage drop is increased, so that the power quality can not meet the corresponding standard, and the production and life of citizens are influenced.
Drawings
Fig. 1 is a schematic view of the concept of the method for evaluating the bearing capacity of the power distribution network considering the large-scale access of the heat accumulating type electric heating system.
Detailed Description
For a better understanding of the objects and advantages of the present invention, reference should be made to the following detailed description taken in conjunction with the accompanying drawings and examples.
Example 1:
in this embodiment, a method for evaluating the load-carrying capacity of the heat accumulating type electric heating system accessed to the distribution network in a large scale is described in detail by taking the residential area as an example according to the evaluation concept shown in fig. 1.
The method comprises the following steps: according to the position of the residential area and the requirement of a user for using the heat accumulating type electric heating equipment, performing space-time modeling on heat accumulating type electric heating to obtain the space-time change of the load of the heat accumulating type electric heating equipment of the residential area, so as to obtain the electric load peak value of the residential area for electric heating, and according to the number of the heat accumulating type electric heating users of the residential area, determining the heat accumulating type electric heating electricity utilization simultaneous rate of the residential area node by using the maximum active value of the heat accumulating type electric heating electricity load.
When the electric heating space-time model is established, the positions of residential areas of residents in a city are determined, and the distribution of the number of users using electric heating in space among various professional groups is summarized according to the occupation difference and the travel characteristics of the users using electric heating.
The behavior of the residential users for turning on the electric heating equipment and turning off the electric heating equipment at home is highly random, so that the Monte Carlo method is used for behavior simulation. The change rule of the electric heating in time is described by a series of time random variables, and the time distribution characteristics of the heating power demand of the user are obtained according to the start working time of the equipment, the stop working time of the equipment and the working time.
According to the change of the heating temperature demand of a user, electric heating is adjusted, a heating demand model is established, the space-time distribution condition of the electric heating power load is simulated by a Monte Carlo method, so that the peak value of the electric heating power load of a residential area is obtained, and the power utilization simultaneous rate is obtained by combining a heat accumulating type electric heating power load calculation formula (1) and a heat accumulating type electric heating power utilization simultaneous rate calculation formula (2).
Figure BDA0002713354270000061
Figure BDA0002713354270000062
Wherein, P' H The peak value of the electrical load is used for electrical heating in the residential area; p H The maximum active value of the electric load for the heat accumulating type electric heating in the residential district is obtained; p Heat KW is the electric power for heat accumulating type electric heating; eta is the electricity utilization efficiency of the heat accumulating type electric heating; epsilon is the electricity consumption simultaneous rate of heat accumulating type electric heating in the residential area; n is a radical of hydrogen Heat The number of heat accumulating type electric heating users in the residential area.
Step two: and determining the basic electricity load of the residential area according to the number of residents in the residential area, the basic electricity load of each household and the basic electricity utilization simultaneous rate. And determining the total capacity of the residential area distribution transformer meeting the capacity constraint of the actual transformer according to the basic electrical load of the residential area.
The basic electricity consumption of the residential area is calculated based on the influence of the residential grade, the residential consumption level, the average residential area and the basic electricity consumption simultaneous rate on the basic electricity load of the residential area, and the basic electricity load of the residential area is calculated through the formula (3).
P Load =pN R μ (3)
Wherein, P Load The electrical load, KW, is used for the residential area foundation; p is the basic load value of each household, KW/household; n is a radical of R The number of all residents in the residential area; mu is the household basic electricity utilization rate.
The user basic load value p and the basic electricity utilization rate mu of the residential area are selected according to the latest standard of civil building electrical design Specification.
And (3) determining the total capacity of the distribution transformer in the residential area by utilizing the capacity calculation formula (4) of the distribution transformer and substituting the residential area basic electric load, the electric power planning margin and the electric load power factor.
Figure BDA0002713354270000071
Wherein S represents the total capacity of the distribution transformer, kVA; delta is the power utilization planning margin; cos phi is the electrical load power factor.
Because distribution transformers of different voltage classes all have corresponding standard values, the transformer capacity obtained by the formula (4) also needs to satisfy the constraint of the actual transformer capacity, and the specific constraint relation is shown as the formula (5).
S L ≤S≤S H (5)
Wherein S is L 、S H Representing in turn the lower and upper limits of the residential transformer capacity,in order to ensure safe and reliable operation of the power distribution network, S is selected H The calculated value of the capacity is replaced as the real capacity of the distribution transformer in the residential area.
Step three: and (4) calculating the electricity utilization coincidence rate of the basic load of the power distribution network of the residential area and the heat accumulating type electric heating load by combining the first step and the second step, and further calculating the critical permeability rate of the heat accumulating type electric heating of the residential area.
And (4) combining the maximum active value of the electric load of the heat accumulating type electric heating in the residential area obtained in the first step with the electric basic load of the residential area obtained in the second step to obtain the electricity utilization simultaneous rate of the basic load of the distribution network in the residential area and the heat accumulating type electric heating load. And then according to the maximum active power value of the electric load of the heat accumulating type electric heating and the heat accumulating type electric heating electricity utilization simultaneous rate in the step one, and the number of residents in the residential area, the basic electricity utilization simultaneous rate of the users, the basic load value of the users and the total capacity of the distribution transformer in the step two, the given maximum load rate of the transformer and the heat accumulating type electric heating electricity utilization power are combined to obtain the heat accumulating type electric heating critical permeability of the residential area.
Figure BDA0002713354270000072
Wherein (P) Total ) max The maximum value of the total power load of the distribution network in the residential area is obtained; p Load The method comprises the following steps of (1) using electric load for a residential area foundation; p H The maximum active value of the electric load for the heat accumulating type electric heating in the residential area is obtained; xi is the power consumption coincidence rate of the basic load of the power distribution network in the residential area and the heat accumulating type electric heating load.
Figure BDA0002713354270000073
Wherein, K R max Critical permeability of heat accumulating type electric heating for a residential area; s H The total capacity of the distribution transformer; phi is the maximum load rate of the transformer; cos phi is the power factor of the electrical load; p is the basic load value of each household in the residential area; n is a radical of R The number of all residents in the residential area; mu is the basic electricity utilization rate of the household; epsilon is heat accumulating type electric heatingPower consumption rate; p Heat Is the electric power for heat accumulating type electric heating.
Residential critical permeability K R max Namely the maximum bearing capacity of the residential area distribution network to the heat accumulating type electric heating.
Therefore, after the heat accumulating type electric heating of the residential area is connected to the power distribution network in a large scale, if the permeability exceeds the critical permeability of the residential area, the electric load can exceed the maximum bearing capacity of the power distribution network, and control measures should be taken for increasing the heat accumulating type electric heating quantity or capacity expansion transformation should be carried out on the power distribution network of the residential area so as to ensure safe and reliable operation of the power distribution network.
The above detailed description is intended to illustrate the objects, aspects and advantages of the present invention, and it should be understood that the above detailed description is only exemplary of the present invention and is not intended to limit the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (3)

1. The power distribution network bearing capacity assessment method considering the heat accumulating type electric heating large-scale access is characterized by comprising the following steps of: comprises the following steps of (a) carrying out,
the method comprises the following steps: performing space-time modeling on the heat accumulating type electric heating equipment to obtain the load space-time change of the heat accumulating type electric heating equipment in different functional areas, obtaining the heat accumulating type electric heating electric load peak value in different functional areas according to the load space-time change, and determining the heat accumulating type electric heating electric utilization simultaneous rate in different functional areas by utilizing the maximum active value of the heat accumulating type electric heating electric load according to the number of heat accumulating type electric heating users in different functional areas;
step two: determining the basic electricity loads of different functional areas according to the number of regional electricity users of different functional areas, the basic load value of each user and the basic electricity utilization simultaneous rate; determining the total capacity of the distribution transformer in different areas meeting the capacity constraint of the actual transformer according to the basic electrical loads in different areas;
step three: the power utilization simultaneous rate of the basic load of the power distribution network and the heat accumulating type electric heating load is obtained by combining the first step and the second step, and further the critical permeability of the heat accumulating type electric heating in different functional areas is obtained, namely the evaluation of the bearing capacity of the power distribution network considering the heat accumulating type electric heating large-scale access is realized;
the third step is to realize the method as follows,
combining the maximum active value of the heat accumulating type electric heating power load obtained in the first step with the user power consumption basic load in different areas obtained in the second step to obtain the power utilization simultaneity rate of the power distribution network basic load and the heat accumulating type electric heating load; according to the maximum active value of the electric load of the heat accumulating type electric heating and the heat accumulating type electric heating electricity utilization simultaneous rate in the step one, the number of regional users, the basic electricity utilization simultaneous rate of the users, the basic load value of each household of the regional users and the total capacity of a distribution transformer in the step two, the given maximum load rate of the transformer and the heat accumulating type electric heating electricity utilization power are combined to obtain the heat accumulating type electric heating critical permeability of different functional areas;
Figure FDA0003659285260000011
wherein (P) Total ) max The maximum value of the total power load of the distribution network is obtained; p Load A base electrical load for a certain area; p H The maximum active value of the electric load is the heat accumulating type electric heating; xi is the power utilization coincidence rate of the basic load of the power distribution network and the heat accumulating type electric heating load, xi is formed by (0,1), and the larger xi is, the higher the superposition degree of the maximum active value of the heat accumulating type electric heating power load and the maximum value of the basic load of the power distribution network is;
Figure FDA0003659285260000012
wherein, K R max The critical permeability of the heat accumulating type electric heating system is obtained; s. the H The total capacity of the distribution transformer; phi is the maximum load rate of the transformer; cos phi is the power factor of the electrical load; p is the basic load value of each household of the regional users; n is a radical of R The number of all users in the area; mu is user base power utilizationThe ratio; epsilon is the electricity consumption concurrency rate of the heat accumulating type electric heating; p Heat The electric power is used for heat accumulating type electric heating;
critical permeability K R max Namely the maximum bearing capacity of the power distribution network to the heat accumulating type electric heating.
2. The power distribution network bearing capacity assessment method considering heat storage type electric heating scale access according to claim 1, characterized in that: the first implementation method of the method is that,
establishing a time-space model of heat accumulating type electric heating equipment according to types, position distribution and user requirements of different functional areas, simulating the time-space distribution of electric heating electric loads by using a Monte Carlo method, and determining the heat accumulating type electric heating electric simultaneous rate of different functional area nodes by using a heat accumulating type electric heating electric load formula (1) and combining a heat accumulating type electric heating electric simultaneous rate formula (2) according to the number of electric heating users of different functional areas;
Figure FDA0003659285260000021
Figure FDA0003659285260000022
wherein, P' H The peak value of the electric load for heat accumulating type electric heating in a certain area is obtained; p is H The maximum active value of the electric load for heat accumulating type electric heating in a certain area; p Heat The energy is the electric power for heat accumulating type electric heating, KW; eta is the electricity utilization efficiency of the heat accumulating type electric heating; epsilon is the electricity consumption concurrence rate of heat accumulating type electric heating in a certain area; n is a radical of Heat The number of current heat accumulating type electric heating users in a certain area.
3. The power distribution network bearing capacity assessment method considering heat storage type electric heating scale access according to claim 2, characterized in that: the second step is realized by the method that,
determining basic electricity loads of different functional areas by using a basic electricity load formula (3) based on the influences of the number of regional electricity users of different functional areas, the basic load value of each user and the basic electricity utilization simultaneous rate on the basic electricity loads of the different functional areas;
P Load =pN R μ (3)
wherein, P Load Electric load for a certain area base, KW; p is the basic load value of each household, KW/household; n is a radical of R The number of all power users in a certain area is counted; mu is the basic electricity utilization rate of a user in a certain area;
the total capacity of the distribution transformer in different functional areas is determined by substituting basic power load, power planning margin and power load power factor by using a distribution transformer capacity formula (4);
Figure FDA0003659285260000023
wherein S represents the total capacity of the distribution transformer, kVA; delta is the power utilization planning margin; cos phi is the electrical load power factor;
because distribution transformers with different voltage grades all have corresponding standard values, the transformer capacity obtained by the formula (4) also needs to meet the constraint of the actual transformer capacity, and the specific constraint relation is shown as the formula (5);
S L ≤S≤S H (5)
wherein S is L 、S H Sequentially representing the lower limit and the upper limit of the transformer capacity of different functional areas, and selecting S to ensure the safe and reliable operation of the power distribution network H The replacement capacity calculation value is used as the real capacity of the distribution transformer;
upper limit of transformer capacity S H The total capacity of the distribution transformer in a certain area meeting the capacity constraint of the actual transformer is determined.
CN202011064474.4A 2020-09-30 2020-09-30 Power distribution network bearing capacity assessment method considering heat accumulation type electric heating large-scale access Active CN112234614B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011064474.4A CN112234614B (en) 2020-09-30 2020-09-30 Power distribution network bearing capacity assessment method considering heat accumulation type electric heating large-scale access

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011064474.4A CN112234614B (en) 2020-09-30 2020-09-30 Power distribution network bearing capacity assessment method considering heat accumulation type electric heating large-scale access

Publications (2)

Publication Number Publication Date
CN112234614A CN112234614A (en) 2021-01-15
CN112234614B true CN112234614B (en) 2022-08-26

Family

ID=74119930

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011064474.4A Active CN112234614B (en) 2020-09-30 2020-09-30 Power distribution network bearing capacity assessment method considering heat accumulation type electric heating large-scale access

Country Status (1)

Country Link
CN (1) CN112234614B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115343959B (en) * 2022-09-23 2024-04-16 国网北京市电力公司 Self-adaptive control method, device, equipment and medium for electric heating load

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109217307A (en) * 2018-10-23 2019-01-15 国网天津市电力公司 A kind of analysis method of Rural Power Distribution Network to " coal changes electricity " maximum receiving ability
CN111400641A (en) * 2019-11-29 2020-07-10 国网天津市电力公司电力科学研究院 Day-ahead optimal scheduling method for comprehensive energy system containing heat accumulation type electric heating

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106998079B (en) * 2017-04-28 2020-05-05 东南大学 Modeling method of combined heat and power optimization scheduling model

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109217307A (en) * 2018-10-23 2019-01-15 国网天津市电力公司 A kind of analysis method of Rural Power Distribution Network to " coal changes electricity " maximum receiving ability
CN111400641A (en) * 2019-11-29 2020-07-10 国网天津市电力公司电力科学研究院 Day-ahead optimal scheduling method for comprehensive energy system containing heat accumulation type electric heating

Also Published As

Publication number Publication date
CN112234614A (en) 2021-01-15

Similar Documents

Publication Publication Date Title
Jacob et al. Sizing of hybrid energy storage system for a PV based microgrid through design space approach
CN106998079B (en) Modeling method of combined heat and power optimization scheduling model
Pu et al. Feasible electricity price calculation and environmental benefits analysis of the regional nighttime wind power utilization in electric heating in Beijing
Smil Distributed generation and megacities: Are renewables the answer?
CN109948868A (en) High permeability distribution type renewable energy power generation cluster Method for optimized planning
CN109919480B (en) Three-layer target energy Internet planning method and equipment
CN105762792A (en) Household average distribution transform capacity configuration method based on user behaviors
CN103577901A (en) Method of intertidal zone wind power for accessing power grid
CN102708426B (en) Power supply capacity planning system and method for intelligent community including electric vehicle charging facilities
CN117175543A (en) Load-adjustable power distribution network planning strategy optimization method and system
CN107665386A (en) A kind of energy based on garden energy source station access power distribution network interconnects planing method
CN113091124A (en) Regional energy supply capacity-based electric-heat complementary heating system partition regulation and control method
CN113623710A (en) Heat accumulating type electric heating optimal configuration method and device considering distribution network power and heating
CN110956332B (en) Site selection and volume determination method for converter station in direct current power distribution network
CN112234614B (en) Power distribution network bearing capacity assessment method considering heat accumulation type electric heating large-scale access
CN115764927A (en) Power grid peak regulation method and system based on wind, light, water and fire multi-energy complementary characteristics
CN107046569A (en) A kind of triple play technology based on heat supply network power network and Internet of Things
CN113627720B (en) Comprehensive park wind-solar storage system configuration method based on electric energy substitution
Zhang et al. Performance analysis of the comprehensive energy system based on active energy storage-discharge technology under time-sharing electricity price operation strategy
CN114819251A (en) Multi-element load elasticity prediction method based on power distribution network grid
CN106300443B (en) A kind of three for reducing abandonment layer cogeneration microgrid energy control method
CN110768306A (en) Power supply capacity configuration method for improving emergency capacity of micro-grid in bottom-protected power grid
Ma et al. Research on Optimization for Siting and Sizing of Distributed Generation Considering Wind and Light Abandonment and Environmental Cost
CN115374999B (en) Water-electricity hydrogen production optimal configuration method suitable for start-stop characteristics of hydrogen production equipment
CN115983555A (en) Power and electric quantity balance measuring and calculating system and method

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
GR01 Patent grant
GR01 Patent grant