CN112310969B - Regional user power supply method - Google Patents

Regional user power supply method Download PDF

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Publication number
CN112310969B
CN112310969B CN201910676487.8A CN201910676487A CN112310969B CN 112310969 B CN112310969 B CN 112310969B CN 201910676487 A CN201910676487 A CN 201910676487A CN 112310969 B CN112310969 B CN 112310969B
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China
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area
power
user
group
users
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CN112310969A (en
Inventor
胡鹏
邢占礼
赵东
邢文琦
李庆彪
张润恩
杨杰
揣超智
冉万
吕新磊
艾欣
潘玺安
吴界辰
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State Grid Xinjiang Electric Power Co Urumqi Electric Power Supply Co
State Grid Corp of China SGCC
North China Electric Power University
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State Grid Xinjiang Electric Power Co Urumqi Electric Power Supply Co
State Grid Corp of China SGCC
North China Electric Power University
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Priority to CN201910676487.8A priority Critical patent/CN112310969B/en
Publication of CN112310969A publication Critical patent/CN112310969A/en
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    • 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
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • 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
    • H02J3/26Arrangements for eliminating or reducing asymmetry in polyphase networks
    • 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
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • 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
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225Demand response systems, e.g. load shedding, peak shaving
    • 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
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/50Arrangements for eliminating or reducing asymmetry in polyphase networks
    • 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems
    • Y04S20/222Demand response systems, e.g. load shedding, peak shaving

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention relates to a regional user power supply method, which comprises the following steps: determining the initial running power of electric equipment of each user in the area according to the photovoltaic output predicted value in the area; calculating peak load regulation gap values in the area according to the initial running power of electric equipment of each user in the area; the initial running power of the electric equipment of each user in the area is regulated by using the peak regulation load gap value in the area; and supplying power to the electric equipment of each user in the area by using the adjusted initial running power of the electric equipment of each user in the area. According to the technical scheme provided by the invention, the power utilization time of a large user at the demand side and the temperature control load operation power of users except the large user are adjusted through a series of measures such as peak staggering, peak avoidance, rotation, power utilization, negative control and electricity limitation, so that the current situation of unbalanced supply and demand of a power system is relieved, the phenomenon of unplanned switching-out and electricity limitation is avoided, and the power utilization order is standardized.

Description

Regional user power supply method
Technical Field
The invention relates to the field of intelligent ordered electricity utilization, in particular to a regional user power supply method.
Background
Along with the rapid development of national economy, the proportion and importance of electric power energy sources in social life are continuously improved, and in order to realize the maximum chemical utilization of electric power resources, various levels of governments and related government departments currently lead and promote an intelligent orderly power utilization strategy;
The intelligent ordered electricity utilization strategy is to strengthen electricity utilization management through legal, administrative, economic, technical and other means, change the electricity utilization mode of users, take a series of measures such as peak staggering, peak avoidance, rotation, electricity utilization, negative control, electricity limitation and the like, avoid unplanned switching-out electricity limitation, standardize the electricity utilization order and minimize the adverse effects brought by seasonal and time-consuming power supply and demand contradiction to society and enterprises;
the intelligent ordered electricity utilization strategy fully mobilizes the enthusiasm of power supply enterprises and power users, and participates in and cooperates together. Under the condition of unbalanced supply and demand of electric power, the power limiting is not pulled, so that the commercial and domestic electric power is not influenced, and the normal and orderly operation of urban production and living is ensured.
At present, how to formulate an intelligent orderly power utilization strategy to improve the reasonable utilization degree of power resources is an unsolved technical problem.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a regional user power supply method, which adjusts the power utilization time of large users at the demand side and the temperature control load operation power of users except the large users through a series of measures such as peak staggering, peak avoidance, rotation, electricity supply, load control, electricity limiting and the like so as to relieve the unbalanced supply and demand state of a power system, avoid the phenomenon of unplanned switching-out and electricity limiting and standardize the electricity utilization order.
The invention aims at adopting the following technical scheme:
the invention provides a regional user power supply method, which is improved in that the method comprises the following steps:
determining the initial running power of electric equipment of each user in the area according to the photovoltaic output predicted value in the area;
calculating peak load regulation gap values in the area according to the initial running power of electric equipment of each user in the area;
the initial running power of the electric equipment of each user in the area is regulated by using the peak regulation load gap value in the area;
and supplying power to the electric equipment of each user in the area by using the adjusted initial running power of the electric equipment of each user in the area.
Preferably, the determining the initial running power of the electric equipment of each user in the area according to the predicted value of the photovoltaic output in the area includes:
substituting the photovoltaic output predicted value in the area into a pre-built minimum unbalanced power model, solving the pre-built minimum unbalanced power model, and obtaining the initial running power of electric equipment of each user in the area;
wherein, the consumer of each user in the region includes: the electric equipment of the large user, the uncontrollable electric equipment of the users except the large user in the area, the electric water heater equipment of the users except the large user in the area and the air conditioner equipment of the users except the large user in the area.
Further, an objective function of the pre-constructed minimum imbalance power model is determined as follows:
minf=P Tt +P PVt -(P Lt +P Ut +P ht +P At )
wherein P is Tt The input power of the power distribution network transformer in the t moment area is; p (P) PVt The predicted value of the photovoltaic output in the t moment area is set; p (P) Lt The sum of the initial running power of each large user electric equipment in the t moment area is set; p (P) Ut The initial running power of uncontrollable electric equipment of users except for large users in the t moment area is set; p (P) ht The initial running power of the electric water heater is the initial running power of the electric water heater of the users except the large user in the t time zone; p (P) At The initial running power of the air conditioner at the set temperature is the initial running power of the air conditioner of the users except the large user in the t moment area;
determining an air conditioner schedulable temperature constraint condition of the pre-built minimum unbalanced power model as follows:
T min ≤T Ijt ≤T max
wherein T is min Presetting a minimum value for the set temperature of the air conditioner; t (T) max Presetting a maximum value for the set temperature of the air conditioner; t (T) Ijt The temperature j epsilon (1-n) is set for the j-th group of air conditioners in the users except the large user in the t moment area;
determining an air conditioning load schedulable power constraint of the pre-built minimum unbalanced power model as follows:
P min,t -P At ≤ΔP At ≤P max,t -P At
wherein P is min,t The lowest running power of the air conditioner at the highest comfortable temperature of the user; p (P) max,t The highest running power of the air conditioner at the lowest comfortable temperature of the user is obtained; ΔP At Schedulable power for air conditioning load of users other than large users in the t-time zone;
wherein the predicted value P of the photovoltaic output in the t moment area is determined according to the following formula PVt
P PVt =kηQ(t)·S PV ·ω(t)
Where k=k 1 ·k 2 ·k 3 ,k 1 Correction factors for component power reduction caused by dust shielding glass; k (k) 2 Matching inverter efficiency for the photovoltaic module in the area; k (k) 3 Is a photovoltaic matrix and an inclination correction coefficient; η is the conversion efficiency of the photovoltaic cell assembly; s is S PV Is the total area of the photovoltaic array in the area; omega t The external temperature influence coefficient is t time; q (t) is the heat of solar radiation in the region at the moment t;
determining the external temperature influence coefficient omega at the moment t according to the following method t
Wherein T is E (t) is the external environment temperature of the t moment area, and the unit is K; θ is the photovoltaic peak power loss rate during the temperature rise;
determining an initial operating power P of an electric water heater for a user other than a large user in the time t region by the following method ht
Wherein P is hkt The initial running power of the kth group of electric water heaters in the users except for the large user in the t moment area is set; m is the group number of the electric water heaters in the users except for the large users in the area; g kt For the running state value of the kth group of electric water heaters in the users except for large users in the t time zone, if G kt When=1, the kth group of electric water heaters in the users except for the large user in the t time zone are operated, if G kt =0, then the t time zone is outside of the large userThe k-th electric water heater is not operated in the users.
Determining the initial running power P of the air conditioner at the set temperature by users except for a large user in the t time zone according to the following mode At
Wherein P is Ajt The initial operation power of the j-th group of air conditioners in the region except for the large user at the time t at the set temperature is given, and n is the number of the groups of air conditioners in the region except for the large user;
determining the schedulable power Δp of the air conditioning load of users other than the large user in the time t region as follows At
Wherein DeltaP Ajt The power of the air conditioner load of the j th group in other users except the large user in the t moment area can be scheduled;
determining the schedulable power delta P of the j-th group air conditioner load in other users except the large user in the t time zone according to the following mode Ajt
ΔP Ajt =A j (B j Q t -C j ΔT Ijt +D j T Et )
Wherein A is j The first operation coefficient of the j-th group of air conditioners in the users except the large user in the t moment area is set; b (B) j The second operation coefficient of the j-th group of air conditioners in the users except the large user in the t-moment area; q (Q) t Is the heat of solar radiation in the region at the time t; c (C) j The third operation coefficient of the j-th group of air conditioners in the users except the large user in the t-moment area; delta T Ijt A change value of the set temperature of the j-th group of air conditioners in the users except the large user in the t-moment area; d (D) j The fourth operation coefficient of the j-th group of air conditioners in the users except the large user in the t-moment area; t (T) Et The outside air temperature of the region at the time t;
determining a first operation coefficient A of a j-th group of air conditioners in users except large users in the t time zone according to the following mode j
Determining a second operation coefficient B of a j-th group of air conditioners in users except for large users in the t time zone according to the following mode j
Determining a third operation coefficient C of the j-th group of air conditioners in the users except the large user in the t time zone according to the following mode j
Determining a fourth operation coefficient D of the j-th group of air conditioners in the users except the large user in the t time zone according to the following mode j
D j =V I-W V E-W S
Wherein S is the area of the outer wall between rooms in the area; mu is heating/cooling energy efficiency ratio; s is S w Window area for a room within an area; v (V) I-w The heat transfer efficiency between the interior of the room and the wall is improved; v (V) w-E The heat transfer efficiency between the wall body and the outside of the room is improved; ζ is solar radiation efficiency; c (C) I The internal heat capacity of the room in which the air conditioner is located in the area; c (C) W Is the heat capacity of the wall body of the room where the air conditioner is located in the area.
Preferably, the calculating the peak shaving load gap value according to the initial running power of the electric equipment of each user in the area includes:
Determining peak regulation load notch value in t moment region according to the following method
Wherein P is Tt The input power of the power distribution network transformer in the t moment area is; p (P) PVt The predicted value of the photovoltaic output in the t moment area is set; p (P) Lt The sum of the initial running power of each large user electric equipment in the t moment area is set; p (P) Ut The initial running power of uncontrollable electric equipment of users except for large users in the t moment area is set; p (P) ht The initial running power of the electric water heater is the initial running power of the electric water heater of the users except the large user in the t time zone; p (P) At And the initial running power of the air conditioner at the set temperature is the initial running power of the air conditioner of the users except for the large user in the t-time area.
Preferably, the adjusting the initial operating power of the electric equipment of each user in the area by using the peak shaving load gap value in the area includes:
step 1: judging whether the peak load regulation gap value in the area is smaller than 0, if so, calculating the difference P between the maximum temperature control load dispatching capacity in the area and the peak load regulation gap value in the area V The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, ending the operation;
step 2: judging P V If the value is larger than 0, if so, enabling an update coefficient x=1 of the peak shaving load gap value in the region; otherwise, let the update coefficient x=0 of the peak shaving load gap value in the area, select L in the area c Large users, and adjust the L c The initial running power of the electric equipment of the large user is 0;
step 3: according to the update coefficient of the peak regulation load gap value in the region, the peak regulation load gap value in the region is updated, K groups of electric water heaters are selected in the region, the calculation coefficient of the residual power shortage in the region is set according to the value of K, and the initial running power of the K groups of electric water heaters is regulated to be 0;
step 4: calculating the remaining power shortage in the area according to the calculation coefficient of the remaining power shortage in the area and according to the areaRemaining power deficit in a domain selecting j in a domain c Group air conditioner and adjust j c And setting the temperature of the group air conditioner until the residual power shortage in the area is 0.
Further, the maximum scheduling capacity P of the temperature control load in the area is determined according to the following formula max,t
P max,t =P ht +(P At -P min,t )
Wherein P is min,t The lowest running power of the air conditioner at the highest comfortable temperature of the user; p (P) max,t The highest running power of the air conditioner at the lowest comfortable temperature of the user is obtained; p (P) ht The initial running power of the electric water heater is the initial running power of the electric water heater of the users except the large user in the t time zone; p (P) At And the initial running power of the air conditioner at the set temperature is the initial running power of the air conditioner of the users except for the large user in the t-time area.
Further, the selection of L in the region c Large users, and adjust the L c The initial operating power of the electric equipment of the large user is 0, and the method comprises the following steps:
the large users in the area are arranged in descending order according to the initial running power of the electric equipment of the large users in the area, the large users in the area are sequentially selected from front to back, if the front L c The initial operation power of the electric equipment of a large user meets the first constraint condition, the L is regulated c The initial running power of the electric equipment of the large user is 0;
wherein the first constraint condition is:and->P Lzt The initial operating power of the consumer for the z-th largest user in the sequence.
Further, the updating the peak shaving load gap value in the area according to the updating coefficient of the peak shaving load gap value in the area comprises the following steps:
if the update coefficient x=1 of the peak shaving load gap value in the area, updating the peak shaving load gap value in the area according to the following formula:
if the update coefficient x=0 of the peak shaving load gap value in the area, updating the peak shaving load gap value in the area according to the following formula:
in the method, in the process of the invention,the peak regulation load gap value in the updated region is obtained; />Peak shaving load gap values in the area before updating; p (P) Lzt The initial operating power of the consumer for the z-th largest user in the sequence.
Further, the selecting K groups of electric water heaters in the area, setting a calculation coefficient of the residual power shortage in the area according to the value of K, and adjusting the initial running power of the K groups of electric water heaters to be 0, including:
arranging the electric water heaters in the area in descending order according to the running power of the electric water heaters in the area, and sequentially selecting the electric water heaters in the area from front to back;
if front K c The electric water heater meets the second constraint condition, and k=k c Setting a calculation coefficient v=1 of the residual power shortage in the area, and adjusting the initial running power of the K groups of electric water heaters to be 0; otherwise, let K=m and set up the calculation coefficient v=0 of the surplus power deficiency in the area, and adjust the initial running power of the electric water heater of this K group to be 0;
wherein the second constraint condition is: the peak regulation load gap value in the updated region is obtained; p (P) hkt The initial running power of the kth group of electric water heaters in the t moment area is set; m is the number of groups of electric water heaters in the area; g kt The running state value of the kth group of electric water heaters in the t time zone.
Further, the updating the peak shaving load gap value in the area according to the updating coefficient of the peak shaving load gap value in the area comprises the following steps:
If the calculation coefficient v=1 of the remaining power shortage in the region, the remaining power shortage P in the region is calculated by the following equation r 0
If the calculation coefficient v=0 of the remaining power shortage in the region, the remaining power shortage P in the region is calculated by the following equation r 0
In the method, in the process of the invention,the peak regulation load gap value in the updated region is obtained; p (P) ht The initial running power of the electric water heater in the t moment area is set; p (P) hkt The initial running power of the k-th group of electric water heaters in the region at the t moment, and m is the group number of the electric water heaters in the region; g kt The running state value of the kth group of electric water heaters in the t moment area is set; m is the group number of the electric water heater in the area.
Further, selecting j in the region according to the remaining power shortage in the region c Group air conditioner and adjust j c The set temperature of the group air conditioner until the residual power shortage in the area is 0 comprises the following steps:
according to each group of empty in the areaThe air conditioners of each group in the area are arranged in ascending order according to the regulated preset temperature, and j is sequentially selected from front to back c Group air conditioner; if j is c The group air conditioner meets the third constraint condition, the previous j is then c -1 the preset temperature of the air conditioner group is adjusted to be the preset maximum value of the air conditioner set temperature;
j in regulatory sequence c The set temperature of the group air conditioner is up to the surplus power shortage P in the area r 0 Is 0;
wherein the third constraint comprises:ΔP Ajt and the power of the air conditioning load of the j-th group in the t-moment area can be scheduled.
Compared with the closest prior art, the invention has the following beneficial effects:
according to the technical method provided by the invention, the initial running power of the electric equipment of each user in the area is determined according to the photovoltaic output predicted value in the area; calculating peak load regulation gap values in the area according to the initial running power of electric equipment of each user in the area; the initial running power of the electric equipment of each user in the area is regulated by using the peak regulation load gap value in the area; supplying power to the electric equipment of each user in the area by using the adjusted initial running power of the electric equipment of each user in the area; the invention adjusts the power utilization time of large users at the demand side and the running power of the air conditioner and the electric water heater load of users except the large users through a series of measures such as peak staggering, peak avoidance, rotation, electricity utilization, negative control, electricity limitation and the like so as to relieve the current situation of unbalanced supply and demand of the electric power system, avoid the phenomenon of unplanned switching-out and electricity limitation and standardize the electricity utilization order.
Drawings
Fig. 1 is a schematic diagram of information and physical coupling contained in a CPS of a power distribution network;
FIG. 2 is a flow chart of a method of regional subscriber power supply;
FIG. 3 is a graph showing predicted and measured values of solar radiation and temperature in an embodiment of the present invention;
FIG. 4 is a graph showing predicted and measured values of a photovoltaic output curve according to an embodiment of the present invention;
FIG. 5 is a graph showing predicted and measured values of a maximum schedulable capacity curve in a temperature controlled load according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a load notch curve and a large user power usage curve in an embodiment of the present invention.
Detailed Description
The following describes the embodiments of the present invention in further detail with reference to the drawings.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a regional user power supply method which is mainly applied to an intelligent park integrating an electric primary system and an information system, and in the present stage, along with the access of a large number of intelligent electronic devices in a power distribution network, a traditional power distribution network taking power equipment as a core is gradually converted into a power distribution network physical information system (CPS, cyber physical systems) with highly integrated information and physical.
As shown in FIG. 1, nodes in a CPS network of the distribution network are formed by mapping DG, temperature-controlled load, uncontrollable load, large user, weather measuring device and other physical nodes in the physical network of the intelligent park with corresponding nodes in the information network, and the difference from the conventional research institute is that weather factor information layers are added into information layers of the CPS of the distribution network, and are matched with power information layers of the park to carry out information real-time interaction, load fluctuation and total power generation amount in the intelligent park are obtained by comprehensively analyzing information such as input capacity, power load, photovoltaic power generation amount and the like of a transformer of the distribution network in combination with weather factors, and a control center is used for making a power consumption plan in the park through scheduling.
In the power supply method of regional users, loads and power sources which can play a role in peak clipping and valley filling are emphasized to be analyzed, so that the user side is divided into two types of low-voltage users and large users with special changes, the low-voltage users comprise household users and intelligent buildings, the low-voltage users comprise temperature-controlled loads and uncontrollable loads, and the source end considers photovoltaic power generation in a load region besides a conventional power source.
The photovoltaic output curve has the characteristic of peak regulation in sequence, can participate in regional user power supply scheduling at a source end, has controllable characteristics for temperature control loads, mainly relates to air conditioning loads, water heater isothermal control equipment and the like for household users, can reduce temperature control load power by means of negative control, power limitation and the like through adjusting preset temperature, shutting down equipment and the like in the load peak period, and can consider to take orderly power utilization measures such as peak staggering, rotation, electricity supply and the like for large users when the effects of peak regulation power supplies and loads are insufficient to compensate for electric energy gaps in the peak period.
The invention provides a regional user power supply method, as shown in fig. 2, which comprises the following steps:
step 101, determining initial running power of electric equipment of each user in the area according to the photovoltaic output predicted value in the area;
step 102, calculating peak shaving load gap values in the area according to the initial running power of electric equipment of each user in the area;
step 103, adjusting the initial running power of the electric equipment of each user in the area by using the peak regulation load gap value in the area;
step 104, supplying power to the electric equipment of each user in the area by using the adjusted initial running power of the electric equipment of each user in the area.
In the optimal embodiment of the invention, the technical scheme provided by the invention is a day-ahead scheduling scheme, and in actual operation, each period of time needs to acquire the input power of the power distribution network transformer in the area in real time; the running power of each large user electric equipment in the area; scheduling data such as the running power of uncontrollable electric equipment of users except large users in the area in real time; the temperature control load control strategy is used for adjusting the temperature control load control strategy which is scheduled in the future;
specifically, the step 101 includes:
substituting the photovoltaic output predicted value in the area into a pre-built minimum unbalanced power model, solving the pre-built minimum unbalanced power model, and obtaining the initial running power of electric equipment of each user in the area;
wherein, the consumer of each user in the region includes: the electric equipment of the large user, the uncontrollable electric equipment of the users except the large user in the area, the electric water heater equipment of the users except the large user in the area and the air conditioner equipment of the users except the large user in the area.
Further, an objective function of the pre-constructed minimum imbalance power model is determined as follows:
minf=P Tt +P PVt -(P Lt +P Ut +P ht +P At )
wherein P is Tt The input power of the power distribution network transformer in the t moment area is; p (P) PVt The predicted value of the photovoltaic output in the t moment area is set; p (P) Lt The sum of the initial running power of each large user electric equipment in the t moment area is set; p (P) Ut The initial running power of uncontrollable electric equipment of users except for large users in the t moment area is set; p (P) ht The initial running power of the electric water heater is the initial running power of the electric water heater of the users except the large user in the t time zone; p (P) At The initial running power of the air conditioner at the set temperature is the initial running power of the air conditioner of the users except the large user in the t moment area;
determining an air conditioner schedulable temperature constraint condition of the pre-built minimum unbalanced power model as follows:
T min ≤T Ijt ≤T max
wherein T is min Presetting a minimum value for an air conditioner set temperature;T max Presetting a maximum value for the set temperature of the air conditioner; t (T) Ijt The temperature j epsilon (1-n) is set for the j-th group of air conditioners in the users except the large user in the t moment area;
in the preferred embodiment of the present invention, the user formulates a comfort temperature interval T min ,T max ]Considering that the power change of the variable-frequency air conditioner has continuous characteristics, the power of the air conditioner is different in different set temperature states, so that the air conditioner loads are numbered in a mode of grouping the set temperatures, but the set temperature T I Should remain within the user comfort interval;
determining an air conditioning load schedulable power constraint of the pre-built minimum unbalanced power model as follows:
P min,t -P At ≤ΔP At ≤P max,t -P At
wherein P is min,t The lowest running power of the air conditioner at the highest comfortable temperature of the user; p (P) max,t The highest running power of the air conditioner at the lowest comfortable temperature of the user is obtained; ΔP At Schedulable power for air conditioning load of users other than large users in the t-time zone;
wherein the predicted value P of the photovoltaic output in the t moment area is determined according to the following formula PVt
P PVt =kηQ(t)·S PV ·ω(t)
Where k=k 1 ·k 2 ·k 3 ,k 1 Correction factors for component power reduction caused by dust shielding glass; k (k) 2 Matching inverter efficiency for the photovoltaic module in the area; k (k) 3 Is a photovoltaic matrix and an inclination correction coefficient; η is the conversion efficiency of the photovoltaic cell assembly; s is S PV Is the total area of the photovoltaic array in the area; omega t The external temperature influence coefficient is t time; q (t) is the heat of solar radiation in the region at the moment t;
in the optimal embodiment of the invention, the photovoltaic output is mainly influenced by solar radiation energy at the moment of power generation, and is related to various factors such as local altitude, longitude and latitude, long-term running performance attenuation of a photovoltaic panel assembly, dust shielding, ambient temperature, conversion efficiency of a photovoltaic matched inverter, fixed inclination angle and orientation of a photovoltaic assembly matrix and the like, and the performance attenuation and hot spot effect of the assembly are ignored in the model, so that a model between the photovoltaic output, solar radiation and external temperature is established;
The weather information prediction accuracy at the time t is high, and the predicted value of the photovoltaic output at the time t is more accurate;
the open-circuit voltage of the single solar cell has the characteristic of decreasing along with the temperature rise, and the voltage temperature coefficient is about- (210-212) mv/DEG C, namely, the open-circuit voltage of the single solar cell decreases by 210-212 mv when the temperature rises by 1 ℃. Thus, the peak power of the solar cell decreases with increasing temperature;
determining the external temperature influence coefficient omega at the moment t according to the following method t
Wherein T is E (t) is the external environment temperature of the t moment area, and the unit is K; θ is the photovoltaic peak power loss rate during the temperature rise;
determining an initial operating power P of an electric water heater for a user other than a large user in the time t region by the following method ht
Wherein P is hkt The initial running power of the kth group of electric water heaters in the users except for the large user in the t moment area is set; m is the group number of the electric water heaters in the users except for the large users in the area; g kt For the running state value of the kth group of electric water heaters in the users except for large users in the t time zone, if G kt When=1, the kth group of electric water heaters in the users except for the large user in the t time zone are operated, if G kt And=0, the kth group of electric water heaters in the users except for the large user in the t time zone are not operated.
In the optimal embodiment of the invention, the temperature control load is considered to be the load of the electric water heater besides the air conditioning load; the electric water heater is mainly controlled by a preset critical temperature and a temperature controller, and when the water temperature is lower than a preset temperature lower limit, the temperature controller is connected to start heating; when the water temperature is higher than the preset upper temperature limit, the temperature controller is disconnected and heating is stopped.
And the electric water heater has: 1) The power failure is rapid, and the controllability is strong; 2) The device can be started instantly, and the control strategy is simple; 3) The heat energy can be stored for a long time, and the user experience is not greatly influenced when the power is off for a short time; 4) The load total amount is larger, and the like, and has good peak shaving characteristics.
The electric water heater only has two working states of 'operation' and 'non-operation', the electric water heater does not operate in the load peak period, and the electric water heater operates in the load valley period; sequentially plays roles of peak clipping and valley filling;
determining the initial running power P of the air conditioner at the set temperature by users except for a large user in the t time zone according to the following mode At
Wherein P is Ajt The initial operation power of the j-th group of air conditioners in the region except for the large user at the time t at the set temperature is given, and n is the number of the groups of air conditioners in the region except for the large user;
Determining the schedulable power Δp of the air conditioning load of users other than the large user in the time t region as follows At
Wherein DeltaP Ajt Schedulable for j-th group air conditioning load in other users except large user in t-time zoneA power;
determining the schedulable power delta P of the j-th group air conditioner load in other users except the large user in the t time zone according to the following mode Ajt
ΔP Ajt =A j (B j Q t -C j ΔT Ijt +D j T Et )
Wherein A is j The first operation coefficient of the j-th group of air conditioners in the users except the large user in the t moment area is set; b (B) j The second operation coefficient of the j-th group of air conditioners in the users except the large user in the t-moment area; q (Q) t Is the heat of solar radiation in the region at the time t; c (C) j The third operation coefficient of the j-th group of air conditioners in the users except the large user in the t-moment area; delta T Ijt A change value of the set temperature of the j-th group of air conditioners in the users except the large user in the t-moment area; d (D) j The fourth operation coefficient of the j-th group of air conditioners in the users except the large user in the t-moment area; t (T) Et The outside air temperature of the region at the time t;
determining a first operation coefficient A of a j-th group of air conditioners in users except large users in the t time zone according to the following mode j
Determining a second operation coefficient B of a j-th group of air conditioners in users except for large users in the t time zone according to the following mode j
Determining a third operation coefficient C of the j-th group of air conditioners in the users except the large user in the t time zone according to the following mode j
Determining a fourth operation coefficient D of the j-th group of air conditioners in the users except the large user in the t time zone according to the following mode j
D j =V I-W V E-W S
Wherein S is the area of the outer wall between rooms in the area; mu is heating/cooling energy efficiency ratio; s is S w Window area for a room within an area; v (V) I-w The heat transfer efficiency between the interior of the room and the wall is improved; v (V) w-E The heat transfer efficiency between the wall body and the outside of the room is improved; ζ is solar radiation efficiency; c (C) I The internal heat capacity of the room in which the air conditioner is located in the area; c (C) W Is the heat capacity of the wall body of the room where the air conditioner is located in the area.
In the preferred embodiment of the invention, the following monomer air conditioner load model is established for the air conditioner in the temperature control load:
wherein T is I Presetting the temperature in a room where an air conditioner is located in the area; t (T) w The temperature of the wall of the room where the air conditioner is located in the area; t (T) E The outside air temperature for the zone; c (C) I The internal heat capacity of the room in which the air conditioner is located in the area; c (C) W The heat capacity of the wall body of the room where the air conditioner is positioned in the area; q is the heat of solar radiation; v (V) I-w The heat transfer efficiency between the interior of the room and the wall is improved; v (V) w-E The heat transfer efficiency between the wall body and the outside of the room is improved; s is S w Window area for a room within an area; ζ is solar radiation efficiency; s is the area of the outer wall of the room in the area; mu is heating/cooling energy efficiency ratio; p (P) A The power of the air conditioner;
finishing formula (2) to obtain a product with a T w Solving the differential equation of the variable to obtain T w Regarding T I And T is E Is an expression of (2);
substituting the expression into the expression (1), and solving to obtain: the cluster air conditioner load schedulable capacity model can be obtained from the single air conditioner power model:
ΔP Ajt =A j (B j Q t -C j ΔT Ijt +D j T Et ) (3)
wherein A is j The first operation coefficient of the j-th group of air conditioners in the users except the large user in the t moment area is set; b (B) j The second operation coefficient of the j-th group of air conditioners in the users except the large user in the t-moment area; q (Q) t Is the heat of solar radiation in the region at the time t; c (C) j The third operation coefficient of the j-th group of air conditioners in the users except the large user in the t-moment area; delta T Ijt A change value of the set temperature of the j-th group of air conditioners in the users except the large user in the t-moment area; d (D) j The fourth operation coefficient of the j-th group of air conditioners in the users except the large user in the t-moment area; t (T) Et The outside air temperature of the region at the time t;
wherein, D j =V I-W V E-W S;
the three main factors influencing the air conditioning load can be determined by the single air conditioning power model to be solar radiation heat Q and external air temperature T E And room internal temperature T I
Specifically, the step 102 includes:
determining peak regulation load notch value in t moment region according to the following method
Wherein P is Tt The input power of the power distribution network transformer in the t moment area is; p (P) PVt The predicted value of the photovoltaic output in the t moment area is set; p (P) Lt The sum of the initial running power of each large user electric equipment in the t moment area is set; p (P) Ut The initial running power of uncontrollable electric equipment of users except for large users in the t moment area is set; p (P) ht The initial running power of the electric water heater is the initial running power of the electric water heater of the users except the large user in the t time zone; p (P) At And the initial running power of the air conditioner at the set temperature is the initial running power of the air conditioner of the users except for the large user in the t-time area.
Specifically, the step 103 includes:
step 1: judging whether the peak load regulation gap value in the area is smaller than 0, if so, calculating the difference P between the maximum temperature control load dispatching capacity in the area and the peak load regulation gap value in the area V The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, ending the operation;
in the best embodiment of the invention, in actual operation, if the peak shaving load gap value in the area is larger than 0; the input capacity of the power distribution network transformer can be properly reduced according to the field condition;
step 2: judging P V If the value is larger than 0, if so, enabling an update coefficient x=1 of the peak shaving load gap value in the region; otherwise, let the update coefficient x=0 of the peak shaving load gap value in the area, select L in the area c Large users, and adjust the L c The initial running power of the electric equipment of the large user is 0;
step 3: according to the update coefficient of the peak regulation load gap value in the region, the peak regulation load gap value in the region is updated, K groups of electric water heaters are selected in the region, the calculation coefficient of the residual power shortage in the region is set according to the value of K, and the initial running power of the K groups of electric water heaters is regulated to be 0;
step 4: calculating the surplus power shortage in the region according to the calculation coefficient of the surplus power shortage in the region, and selecting j in the region according to the surplus power shortage in the region c Group air conditioner and adjust j c And setting the temperature of the group air conditioner until the residual power shortage in the area is 0.
In the preferred embodiment of the invention, in the demand side, the electric water heater mainly responds by starting and stopping the equipment, the power adjustment process has a step difference value, the air conditioning load responds by changing the preset temperature, and the power adjustment process is relatively smooth, so that the electric water heater can be adjusted preferentially in the strategy making process, and the residual load is adjusted by the air conditioning load.
Because in the regional user power supply method, decisions such as large user rotation, electricity supply, peak staggering and the like can be made with a certain probability, the decisions should be notified to a decision-taker in advance, and the control strategy of the temperature control load in a specific time period of the day should be determined by the specific load condition and weather condition at the moment;
Specifically, the maximum scheduling capacity P of the temperature control load in the area is determined according to the following formula max,t
P max,t =P ht +(P At -P min,t )
Wherein P is min,t The lowest running power of the air conditioner at the highest comfortable temperature of the user; p (P) max,t The highest running power of the air conditioner at the lowest comfortable temperature of the user is obtained; p (P) ht The initial running power of the electric water heater is the initial running power of the electric water heater of the users except the large user in the t time zone; p (P) At And the initial running power of the air conditioner at the set temperature is the initial running power of the air conditioner of the users except for the large user in the t-time area.
Specifically, the L is selected in the region c Large users, and adjust the L c The initial operating power of the electric equipment of the large user is 0, and the method comprises the following steps:
the large users in the area are arranged in descending order according to the initial running power of the electric equipment of the large users in the area, the large users in the area are sequentially selected from front to back, if the front L c The initial operation power of the electric equipment of a large user meets the first constraint condition, the L is regulated c The initial running power of the electric equipment of the large user is 0;
wherein the first constraint condition is:and->P Lzt The initial operating power of the consumer for the z-th largest user in the sequence.
In the preferred embodiment of the present invention, pairs 1 to l are selected at time t C The large user negotiates power off, records the power off period of the large user receiving the power off, and takes negotiation rotation (power off all the day) measures for the large user if the large user with the total power off time exceeding 4 hours in the period of 24 hours except for noon break (12:00-13:00);
If a large user with the total power-off duration less than 4 hours in a period of 24 hours except for noon break appears, taking measures of negotiating peak avoidance and peak staggering (power-off in a certain period) for the large user; giving corresponding compensation to users who agree with the day-ahead schedule;
specifically, the updating the peak shaving load gap value in the area according to the updating coefficient of the peak shaving load gap value in the area includes:
if the update coefficient x=1 of the peak shaving load gap value in the area, updating the peak shaving load gap value in the area according to the following formula:
if the update coefficient x=0 of the peak shaving load gap value in the area, updating the peak shaving load gap value in the area according to the following formula:
in the method, in the process of the invention,the peak regulation load gap value in the updated region is obtained; />Peak shaving load gap values in the area before updating; p (P) Lzt The initial operating power of the consumer for the z-th largest user in the sequence.
Specifically, the selecting K groups of electric water heaters in the area, setting a calculation coefficient of the residual power shortage in the area according to the value of K, and adjusting the initial running power of the K groups of electric water heaters to be 0, including:
arranging the electric water heaters in the area in descending order according to the running power of the electric water heaters in the area, and sequentially selecting the electric water heaters in the area from front to back;
If front K c The electric water heater meets the second constraint condition, and k=k c Setting a calculation coefficient v=1 of the residual power shortage in the area, and adjusting the initial running power of the K groups of electric water heaters to be 0; otherwise, let K=m and set up the calculation coefficient v=0 of the surplus power deficiency in the area, and adjust the initial running power of the electric water heater of this K group to be 0;
wherein the second constraint condition is: the peak regulation load gap value in the updated region is obtained; p (P) hkt The initial running power of the kth group of electric water heaters in the t moment area is set; m is the number of groups of electric water heaters in the area; g kt The running state value of the kth group of electric water heaters in the t time zone.
Specifically, the updating the peak shaving load gap value in the area according to the updating coefficient of the peak shaving load gap value in the area includes:
if the calculation coefficient v=1 of the remaining power shortage in the region, the remaining power shortage P in the region is calculated by the following equation r 0
If the calculation coefficient v=0 of the remaining power shortage in the region, the region is calculated as followsResidual power deficiency P r 0
In the method, in the process of the invention,the peak regulation load gap value in the updated region is obtained; p (P) ht The initial running power of the electric water heater in the t moment area is set; p (P) hkt The initial running power of the k-th group of electric water heaters in the region at the t moment, and m is the group number of the electric water heaters in the region; g kt The running state value of the kth group of electric water heaters in the t moment area is set; m is the group number of the electric water heater in the area.
Specifically, j is selected in the region according to the remaining power shortage in the region c Group air conditioner and adjust j c The set temperature of the group air conditioner until the residual power shortage in the area is 0 comprises the following steps:
according to the preset temperature of each group of air conditioners in the area, arranging the air conditioners in the area in ascending order, and sequentially selecting j from front to back c Group air conditioner; if j is c The group air conditioner meets the third constraint condition, the previous j is then c -1 the preset temperature of the air conditioner group is adjusted to be the preset maximum value of the air conditioner set temperature;
j in regulatory sequence c The set temperature of the group air conditioner is up to the surplus power shortage P in the area r 0 Is 0;
wherein the third constraint comprises:ΔP Ajt and the power of the air conditioning load of the j-th group in the t-moment area can be scheduled.
In the preferred embodiment of the present invention, t=24 is taken as one period, and t=24 periods are optimally scheduled throughout the day. And setting application scenes as follows: in summer, 1000 air conditioners and 500 electric water heaters are used for load control in the area, and the comfortable temperature interval of the user is set to be 22,28 ℃.
For the convenience of calculation, the electric power of the air conditioner which is agreed to participate in temperature control scheduling in a set load area through a user protocol is 2KW, and is divided into 10 groups according to the preset temperature, wherein the preset temperatures are respectively [22,22,22,22.5,22.5,23,23,23,23.5,24 ] ]DEG C. Setting the room area of the air conditioner to 35m2, V I-W 、V W-E Heat transfer efficiency V between inside and wall of separated room and heat transfer efficiency V between wall and outside I-W 、V W-E 40W/(m) 2 ·K)、10W/(m 2 K); the solar radiation efficiency zeta is 2/3; the external wall area S of the room is about 25% of the residence area, and the value is 8.75m 2 The method comprises the steps of carrying out a first treatment on the surface of the Area S of a room window W About 20% of the residence area, the value is 7m 2 The method comprises the steps of carrying out a first treatment on the surface of the The refrigeration energy efficiency ratio mu takes a value of 3; the electric water heater agreeing to participate in temperature control through a user protocol has 300 stations in total, wherein: 200 are 1.8KW, which is divided into 4 groups of 50; 100 power lines are 1.5KW and are divided into 2 groups of 50 power lines.
Photovoltaic power plant in load area: 1500 single power generation plates are arranged in the power station in total, each single power generation plate is formed by connecting 60 single crystal solar battery packs in series, and the model is as follows: 1652mm by 992mm, monolithic area 1.428 m2, matrix mounting tilt angle 37 °. The lowest photoelectric conversion efficiency of the monocrystalline silicon battery pack is not lower than 16.8%, and the conversion efficiency eta of the photovoltaic battery pack is selected to be 17%; total area S of photovoltaic array PV 2457m 2 The method comprises the steps of carrying out a first treatment on the surface of the Correction factor k for component power drop due to dust shielding glass 1 The value is 0.88; high-power inverter efficiency k matched with photovoltaic module 2 The value is 93%; photovoltaic array and inclination correction coefficient k 3 Take a value of 0.96.
In order to verify that the present invention has a large deviation between the day-ahead scheduling and the real-time scheduling, i.e. the scheduling decision of the present invention still functions when the predicted value deviates from the actual measured value, the predicted value and the on-site actual measured value of the temperature and solar radiation are set as shown in fig. 3, wherein the predicted error of the solar radiation energy is 10.25%, and the predicted error of the temperature is 3.1%.
The photovoltaic power generation output values under the predicted value and the field actual measured value can be calculated corresponding to the temperature and the solar radiation energy, and as shown in fig. 4, the photovoltaic power generation built in the ordered electricity load area can be analyzed from the graph to have good peak-regulating characteristics, and the condition of insufficient capacity in the load peak period can be compensated to a certain extent.
Before scheduling, the maximum schedulable capacity and the load notch value of the temperature control load at each moment are determined according to the predicted value, as can be seen from the maximum schedulable capacity curve shown in fig. 5, when the temperature and the solar irradiation value are lower in summer, the schedulable capacity value of the air conditioner load is not high because the set temperature and the external temperature are smaller in difference; when the temperature and solar irradiation values are higher, the difference fluctuation between the upper limit value of the user comfort temperature and the external temperature is smaller, so that the schedulable capacity of the air conditioner load is fixed in the time interval, namely, the saturated value of the schedulable capacity is reached.
According to the scheduling strategy, the load gap values obtained by load prediction in the peak load period as shown in fig. 6 are available in the schematic diagram, and in the day-ahead scheduling: the maximum peak regulating capacity value of the temperature control load is lower than the load notch value in the period of 9:00-15:00, the temperature control load is insufficient for reducing the peak load, the large user scheduling in the day-ahead scheduling is performed at the moment, in the large user load predicted in the day-ahead, the large user 1 is required to be powered off in the day-ahead scheduling decision between 9:00-15:00, and the large user 2 is required to be powered off in the period of 11: power is turned off in two periods of 00-12:00 and 13:00-14:00, and considering that the power-off time of the large user 1 reaches 5h in the afternoon break removing period, a decision is made in the day-ahead scheduling firstly: large user 1 has had power on all days the next day, large user 2 has power on 11: peak shifting and power failure are carried out in two periods of 00-12:00 and 13:00-14:00, and at the moment, the load gap value is reached after decision making under decision 1; then, a next day temperature control load control strategy is formulated according to the load gap value after decision, such as 15: within the 00-16:00 period, a decision is made: all water heaters are turned off, 10 groups of air conditioners are respectively adjusted from preset temperatures to [28,28,28,22.5,22.5,23,23,23,23.5,24] DEG C according to the formula (3), and the first 24 air conditioners in the 4 th group are adjusted to 28 ℃; and within the 9:00-10:00 period, a decision is made: the water heaters of the 1 st to 3 rd groups are turned off, the water heaters of other groups are kept running, the set temperature of the first 43 air conditioners in the 1 st group is adjusted to 28 ℃, and the set temperature of the other groups is kept unchanged.
In real-time scheduling: because the scheduling measures of orderly power utilization are adopted for the large user 1 and the large user 2 in the decision of the day-ahead scheduling, the load gap value in the real-time scheduling is approximately the same as the post-decision value in the day-ahead scheduling in trend, but the load prediction in the day-ahead scheduling and the weather factor prediction have errors, so that the load gap value and the post-decision value cannot be completely matched, the control strategy of the temperature control load in the real-time scheduling needs to be slightly adjusted, for example, the strategy is adopted for the temperature control load in the day-ahead scheduling in the time period of 12:00-13:00: all groups of electric water heaters are turned off, the set temperature of 10 groups of air conditioners is respectively adjusted to be [28,28,28,28,28,28,28,23,23.5,24] DEG C from the preset temperature, and the first 31 air conditioners in the 8 th group are adjusted to be 28 ℃; the real-time scheduling is adjusted as follows: all the electric water heaters are turned off, the set temperatures of the air conditioners are respectively adjusted to be [28,28,28,28,28,28,28,28,28,24] DEG C from the preset temperatures, and the first 11 air conditioners in the 10 th group are adjusted to be 28 ℃.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.

Claims (4)

1. A method of regional subscriber power, the method comprising:
determining the initial running power of electric equipment of each user in the area according to the photovoltaic output predicted value in the area;
calculating peak load regulation gap values in the area according to the initial running power of electric equipment of each user in the area;
the initial running power of the electric equipment of each user in the area is regulated by using the peak regulation load gap value in the area;
supplying power to the electric equipment of each user in the area by using the adjusted initial running power of the electric equipment of each user in the area;
the initial operation power of the electric equipment of each user in the area is adjusted by using the peak regulation load notch value in the area, and the method comprises the following steps:
step 1: judging whether the peak load regulation gap value in the area is smaller than 0, if so, calculating the difference P between the maximum temperature control load dispatching capacity in the area and the peak load regulation gap value in the area V The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, ending the operation;
step 2: judging P V If the value is larger than 0, if so, enabling an update coefficient x=1 of the peak shaving load gap value in the region; otherwise, let the update coefficient x=0 of the peak shaving load gap value in the area, select L in the area c Large users, and adjust the L c The initial running power of the electric equipment of the large user is 0;
step 3: according to the update coefficient of the peak regulation load gap value in the region, the peak regulation load gap value in the region is updated, K groups of electric water heaters are selected in the region, the calculation coefficient of the residual power shortage in the region is set according to the value of K, and the initial running power of the K groups of electric water heaters is regulated to be 0;
step 4: calculating the surplus power shortage in the region according to the calculation coefficient of the surplus power shortage in the region, and selecting j in the region according to the surplus power shortage in the region c Group air conditioner and adjust j c The set temperature of the group air conditioner is set until the residual power shortage in the area is 0;
determining the maximum scheduling capacity P of the temperature control load in the area according to the following mode max,t
P max,t =P ht +(P At -P min,t )
Wherein P is min,t The lowest running power of the air conditioner at the highest comfortable temperature of the user; p (P) max,t The highest running power of the air conditioner at the lowest comfortable temperature of the user is obtained; p (P) ht The initial running power of the electric water heater is the initial running power of the electric water heater of the users except the large user in the t time zone; p (P) At For the initial operation of the air conditioner at the set temperature of the users except for the large user in the t time zoneA power;
said selecting L in the region c Large users, and adjust the L c The initial operating power of the electric equipment of the large user is 0, and the method comprises the following steps:
The large users in the area are arranged in descending order according to the initial running power of the electric equipment of the large users in the area, the large users in the area are sequentially selected from front to back, if the front L c The initial operation power of the electric equipment of a large user meets the first constraint condition, the L is regulated c The initial running power of the electric equipment of the large user is 0;
wherein the first constraint condition is:and->P Lzt The initial running power of the electric equipment of the z-th big user in the sequence;
the updating of the peak shaving load gap value in the area according to the updating coefficient of the peak shaving load gap value in the area comprises the following steps:
if the update coefficient x=1 of the peak shaving load gap value in the area, updating the peak shaving load gap value in the area according to the following formula:
if the update coefficient x=0 of the peak shaving load gap value in the area, updating the peak shaving load gap value in the area according to the following formula:
in the method, in the process of the invention,in the updated regionPeak load notch value; />Peak shaving load gap values in the area before updating; p (P) Lzt The initial running power of the electric equipment of the z-th big user in the sequence;
the selecting K groups of electric water heaters in the area, setting the calculation coefficient of the residual power shortage in the area according to the value of K, and adjusting the initial running power of the K groups of electric water heaters to be 0, comprising:
Arranging the electric water heaters in the area in descending order according to the running power of the electric water heaters in the area, and sequentially selecting the electric water heaters in the area from front to back;
if front K c The electric water heater meets the second constraint condition, and k=k c Setting a calculation coefficient v=1 of the residual power shortage in the area, and adjusting the initial running power of the K groups of electric water heaters to be 0; otherwise, let K=m and set up the calculation coefficient v=0 of the surplus power deficiency in the area, and adjust the initial running power of the electric water heater of this K group to be 0;
wherein the second constraint condition is: the peak regulation load gap value in the updated region is obtained; p (P) hkt The initial running power of the kth group of electric water heaters in the t moment area is set; m is the number of groups of electric water heaters in the area; g kt The running state value of the kth group of electric water heaters in the t moment area is set;
the updating of the peak shaving load gap value in the area according to the updating coefficient of the peak shaving load gap value in the area comprises the following steps:
if the calculation coefficient v=1 of the remaining power shortage in the region, the remaining power shortage in the region is calculated by the following formula
If the calculation coefficient v=0 of the remaining power shortage in the region, the remaining power shortage in the region is calculated by the following formula
In the method, in the process of the invention,the peak regulation load gap value in the updated region is obtained; p (P) ht The initial running power of the electric water heater in the t moment area is set; p (P) hkt The initial running power of the k-th group of electric water heaters in the region at the t moment, and m is the group number of the electric water heaters in the region; g kt The running state value of the kth group of electric water heaters in the t moment area is set; m is the number of groups of electric water heaters in the area;
said selecting j in an area based on the remaining power deficiency in said area c Group air conditioner and adjust j c The set temperature of the group air conditioner until the residual power shortage in the area is 0 comprises the following steps:
according to the preset temperature of each group of air conditioners in the area, arranging the air conditioners in the area in ascending order, and sequentially selecting j from front to back c Group air conditioner; if j is c The group air conditioner meets the third constraint condition, the previous j is then c -1 the preset temperature of the air conditioner group is adjusted to be the preset maximum value of the air conditioner set temperature;
j in regulatory sequence c Set temperature of group air conditioner up to surplus power shortage in areaIs 0;
wherein the third constraint comprises:ΔP Ajt and the power of the air conditioning load of the j-th group in the t-moment area can be scheduled.
2. The method of claim 1, wherein determining the initial operating power of the powered device for each user in the area based on the predicted values of the photovoltaic output in the area comprises:
Substituting the photovoltaic output predicted value in the area into a pre-built minimum unbalanced power model, solving the pre-built minimum unbalanced power model, and obtaining the initial running power of electric equipment of each user in the area;
wherein, the consumer of each user in the region includes: the electric equipment of the large user, the uncontrollable electric equipment of the users except the large user in the area, the electric water heater equipment of the users except the large user in the area and the air conditioner equipment of the users except the large user in the area.
3. The method of claim 2, wherein the objective function of the pre-constructed minimum imbalance power model is determined as follows:
min f=P Tt +P PVt -(P Lt +P Ut +P ht +P At )
wherein P is Tt The input power of the power distribution network transformer in the t moment area is; p (P) PVt The predicted value of the photovoltaic output in the t moment area is set; p (P) Lt The sum of the initial running power of each large user electric equipment in the t moment area is set; p (P) Ut The initial running power of uncontrollable electric equipment of users except for large users in the t moment area is set; p (P) ht The initial running power of the electric water heater is the initial running power of the electric water heater of the users except the large user in the t time zone; p (P) At The method is characterized in that the air conditioner is initially operated at a set temperature for users except for large users in the t-time area Row power;
determining an air conditioner schedulable temperature constraint condition of the pre-built minimum unbalanced power model as follows:
T min ≤T Ijt ≤T max
wherein T is min Presetting a minimum value for the set temperature of the air conditioner; t (T) max Presetting a maximum value for the set temperature of the air conditioner; t (T) Ijt The temperature j epsilon (1-n) is set for the j-th group of air conditioners in the users except the large user in the t moment area;
determining an air conditioning load schedulable power constraint of the pre-built minimum unbalanced power model as follows:
P min,t -P At ≤ΔP At ≤P max,t -P At
wherein P is min,t The lowest running power of the air conditioner at the highest comfortable temperature of the user; p (P) max,t The highest running power of the air conditioner at the lowest comfortable temperature of the user is obtained; ΔP At Schedulable power for air conditioning load of users other than large users in the t-time zone;
wherein the predicted value P of the photovoltaic output in the t moment area is determined according to the following formula PVt
P PVt =kηQ(t)·S PV ·ω(t)
Where k=k 1 ·k 2 ·k 3 ,k 1 Correction factors for component power reduction caused by dust shielding glass; k (k) 2 Matching inverter efficiency for the photovoltaic module in the area; k (k) 3 Is a photovoltaic matrix and an inclination correction coefficient; η is the conversion efficiency of the photovoltaic cell assembly; s is S PV Is the total area of the photovoltaic array in the area; omega t The external temperature influence coefficient is t time; q (t) is the heat of solar radiation in the region at the moment t;
Determining the external temperature influence coefficient omega at the moment t according to the following method t
Wherein T is E (t) is the external environment temperature of the t moment area, and the unit is K; θ is the photovoltaic peak power loss rate during the temperature rise;
determining an initial operating power P of an electric water heater for a user other than a large user in the time t region by the following method ht
Wherein P is hkt The initial running power of the kth group of electric water heaters in the users except for the large user in the t moment area is set; m is the group number of the electric water heaters in the users except for the large users in the area; g kt For the running state value of the kth group of electric water heaters in the users except for large users in the t time zone, if G kt When=1, the kth group of electric water heaters in the users except for the large user in the t time zone are operated, if G kt =0, the kth group of electric water heaters in the users except the large user in the t time zone do not operate;
determining the initial running power P of the air conditioner at the set temperature by users except for a large user in the t time zone according to the following mode At
Wherein P is Ajt The initial operation power of the j-th group of air conditioners in the region except for the large user at the time t at the set temperature is given, and n is the number of the groups of air conditioners in the region except for the large user;
determining the schedulable power Δp of the air conditioning load of users other than the large user in the time t region as follows At
Wherein DeltaP Ajt Is t time zoneSchedulable power of the j-th group air conditioning load in other users except for the large user;
determining the schedulable power delta P of the j-th group air conditioner load in other users except the large user in the t time zone according to the following mode Ajt
ΔP Ajt =A j (B j Q t -C j ΔT Ijt +D j T Et )
Wherein A is j The first operation coefficient of the j-th group of air conditioners in the users except the large user in the t moment area is set; b (B) j The second operation coefficient of the j-th group of air conditioners in the users except the large user in the t-moment area; q (Q) t Is the heat of solar radiation in the region at the time t; c (C) j The third operation coefficient of the j-th group of air conditioners in the users except the large user in the t-moment area; delta T Ijt A change value of the set temperature of the j-th group of air conditioners in the users except the large user in the t-moment area; d (D) j The fourth operation coefficient of the j-th group of air conditioners in the users except the large user in the t-moment area; t (T) Et The outside air temperature of the region at the time t;
determining a first operation coefficient A of a j-th group of air conditioners in users except large users in the t time zone according to the following mode j
Determining a second operation coefficient B of a j-th group of air conditioners in users except for large users in the t time zone according to the following mode j
Determining a third operation coefficient C of the j-th group of air conditioners in the users except the large user in the t time zone according to the following mode j
Determining a fourth operation coefficient D of the j-th group of air conditioners in the users except the large user in the t time zone according to the following mode j
D j =V I-W V E-W S
Wherein S is the area of the outer wall between rooms in the area; mu is heating/cooling energy efficiency ratio; s is S w Window area for a room within an area; v (V) I-w The heat transfer efficiency between the interior of the room and the wall is improved; v (V) w-E The heat transfer efficiency between the wall body and the outside of the room is improved; ζ is solar radiation efficiency; c (C) I The internal heat capacity of the room in which the air conditioner is located in the area; c (C) W Is the heat capacity of the wall body of the room where the air conditioner is located in the area.
4. The method of claim 1, wherein calculating the peak shaver load notch value in the area based on the initial operating power of the consumers in the area comprises:
determining peak regulation load notch value in t moment region according to the following method
Wherein P is Tt The input power of the power distribution network transformer in the t moment area is; p (P) PVt The predicted value of the photovoltaic output in the t moment area is set; p (P) Lt The sum of the initial running power of each large user electric equipment in the t moment area is set; p (P) Ut The initial running power of uncontrollable electric equipment of users except for large users in the t moment area is set; p (P) ht The initial running power of the electric water heater is the initial running power of the electric water heater of the users except the large user in the t time zone; p (P) At And the initial running power of the air conditioner at the set temperature is the initial running power of the air conditioner of the users except for the large user in the t-time area.
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