CN114977201A - Fine power utilization coefficient adjustment and reduction method for various levels of commercial building - Google Patents

Fine power utilization coefficient adjustment and reduction method for various levels of commercial building Download PDF

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CN114977201A
CN114977201A CN202210342296.XA CN202210342296A CN114977201A CN 114977201 A CN114977201 A CN 114977201A CN 202210342296 A CN202210342296 A CN 202210342296A CN 114977201 A CN114977201 A CN 114977201A
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load
loads
comfort level
illumination
economic benefit
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蒋静
夏霖
胡冬
申鹂
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Hangzhou Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Hangzhou Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit 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
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

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Abstract

The invention discloses a method for adjusting and reducing coefficients of various levels of fine power consumption of commercial buildings, which solves the defects of the prior art, and comprises the steps of firstly modeling the temperature comfort level, the illumination comfort level and the economic benefit which are concerned about the fine power consumption of the commercial buildings, and respectively establishing data models of the temperature comfort level, the illumination comfort level and the economic benefit and various loads of the commercial buildings, wherein the various loads comprise air conditioning loads, lighting loads, power loads and LED large-screen loads; and then introducing concepts of various load rates and adjustment and reduction coefficients, converting the multi-target optimization model into a single-target optimization model through normalization processing and distribution indexes, and finally solving the percentage value of various loads to be adjusted and reduced under the condition of meeting the common best temperature comfort level, illumination comfort level and economic benefit when the commercial buildings participate in fine power utilization at all levels.

Description

Fine power utilization regulation and reduction coefficient method for each level of commercial building
Technical Field
The invention relates to an electric power system and automation thereof, in particular to a method for reducing coefficients of fine power utilization and regulation of various levels of commercial buildings, belonging to the technical field of demand response.
Background
The continuous improvement of the urbanization level and the continuous adjustment of the industrial structure lead to the rapid increase of the demand of energy in cities in China, and the current nationwide faces the situation of short power supply, so that various types of energy are urgently needed to participate in the construction and adjustment of high-elasticity power grids.
With the rapid increase of the economic level and the continuous optimization of the economic structure, a third industry represented by building economy and digital industry is growing up, and the power consumption of the third industry is also continuously rising. The third product mainly comprises the storage and postal industry, the information transmission, the computer service and software industry, the financial industry, the lease and business service industry and the like, and is mainly used for building offices. Therefore, how to effectively, accurately and effectively control the extensive power utilization requirements of buildings such as commercial complexes, office buildings, hotels, public institutions and the like, guide commercial building users to optimize power utilization strategies, and refine and digitize the power utilization management strategies in real time is the emphasis on the control of energy consumption and carbon consumption of commercial buildings at present in finding resources and loads from rapidly-increased building economy.
The load types of commercial buildings mainly include air conditioners, lighting, power, LED large screens and the like, and due to the fact that the operation mode of controllable loads of the buildings is flexible, the power dispatching center can effectively manage the energy consumption of building systems through direct control or price incentive measures, the operation cost of the buildings is reduced, and the operation economy and safety of a power grid are improved. Therefore, the research on the strategy of the fine power utilization participation of the commercial buildings is carried out, the models of the power regulation and reduction coefficients of the fine power utilization of all levels of the commercial buildings are constructed, the power regulation and reduction percentage of all types of loads under the participation of the models in the fine power utilization of all levels is determined, and the method is an urgent task with practical significance.
The existing research of flexible regulation and control strategies for commercial buildings mainly focuses on air conditioning loads, the flexible regulation and control strategies for various loads of the commercial buildings are lacked, the temperature comfort level, the illumination comfort level and the economic benefit are not considered in a multi-dimensional mode, and the constructed model is not strong in practicability and operability for electric responsible persons of the commercial buildings. The method aims to give consideration to building temperature comfort, illumination comfort and economic benefits, and simultaneously realizes the optimal regulation and control of building participation in each level of fine power utilization by scientifically and effectively adjusting various load values of commercial buildings.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a method for regulating and reducing the fine power utilization coefficients of all levels of a commercial building, which aims at simultaneously optimizing the temperature comfort level, the illumination comfort level and the economic benefit of the fine power utilization of all levels of the commercial building, fully considers the correlation between the various load regulation and reduction coefficients and the temperature comfort level, the illumination comfort level and the economic benefit, realizes the method for optimally regulating and controlling the fine power utilization of all levels of the commercial building, and solves the technical problems that the existing commercial building can flexibly regulate and control strategies to research the fresh multi-dimensional, full-load and operable performances.
The purpose of the invention is realized by the following technical scheme:
a method for adjusting and reducing coefficients of each level of fine power consumption of commercial buildings comprises the steps of firstly modeling temperature comfort, illumination comfort and economic benefit which are concerned about the fine power consumption of the commercial buildings, and respectively establishing data models of the temperature comfort, the illumination comfort and the economic benefit and various loads of the commercial buildings, wherein the various loads comprise air conditioning loads, lighting loads, power loads and LED large-screen loads; and then, introducing concepts of various load rates and adjustment and reduction coefficients, converting the multi-objective optimization model into a single-objective optimization model through normalization processing and distribution indexes, and finally solving the percentage value of various load to be adjusted and reduced under the condition of meeting the common best temperature comfort level, illumination comfort level and economic benefit when the commercial buildings participate in fine power utilization at all levels.
Preferably, when the commercial building participates in fine power utilization, the adjustment coefficient corresponding to the pressure reduction load value to which 5 loads, namely air conditioner, lighting, power, LED large screen and other loads are to respond is a control variable: [ x ] of 1 ,x 2 ,x 3 ,x 4 ,x 5 ]Satisfy the following requirements
Figure BDA0003575251220000021
Wherein Δ P Air conditioner ,ΔP Illumination device ,ΔP Power plant ,ΔP LED large screen ,ΔP Others A voltage reduction load value, P, representing the air conditioning load, lighting load, power load, LED large screen load and other loads in commercial buildings in response to the fine power consumption 1 ,P 2 ,P 3 ,P 4 ,P 5 Indicates the quotientInstalled capacity of 5 loads of industrial buildings; because 5 types of loads in different commercial buildings have different installed capacities and different daily load rates, a daily load rate constant y of various loads is introduced 1 ,y 2 ,y 3 ,y 4 ,y 5 ]The model is used for depicting the daily actual operation load rate of 5 types of loads of fine power utilization of a certain commercial building, associating the adjustment and reduction coefficient control variable with the load value of the pressure reduction of various types of loads, and constructing the model of the fine power utilization of the commercial building about the adjustment and reduction coefficients of various types of loads.
Preferably, the mathematical model between the temperature comfort of the commercial building and the load of the commercial building is specifically as follows:
K T ＝(T indoor_best -T set ) 2 ＝[T indoor_best -(k·ΔP air conditioner +b)] 2 ＝[T indoor_best -(k·(x 1 y 1 P 1 )+b)] 2 ，
Wherein K T Representing the comfort level of the air temperature of the user, the lower the value is, the higher the comfort level is; t is indoor_best The indoor optimal temperature is set; t is set Setting a temperature for a user; delta P Air conditioner Adjusting the value for the air conditioning load; delta P Air conditioner With different set temperatures T set Almost linearly proportional, and k, b are parameters of a linear function.
Preferably, the mathematical model between the illumination comfort level of the commercial building and the building load is specifically as follows:
Figure BDA0003575251220000031
wherein K L Representing the illumination comfort level of a user, the lower the value, the higher the comfort level; l is indoor_best The optimal indoor illumination is obtained; l is average Is the average illumination; n is the number of commercial building floors;
Figure BDA0003575251220000032
the average illumination of the single layer determined by a fuzzy utilization coefficient method; eta is the average luminous efficiency; p Illumination device Total capacity for the commercial building lighting load; delta P Illumination device Adjusting a value for the lighting load; CU represents the fuzzy utilization coefficient of the light source in a specific place, and the fuzzy utilization coefficient can be obtained by looking up a table; the maintenance coefficient MF is 0.7-0.8; s i Indicates the total area of the ith layer.
Preferably, the mathematical model between the economic benefit of the fine power utilization of the commercial buildings and the building load is specifically as follows:
Figure BDA0003575251220000033
profit represents the economic benefit (demand response or orderly power utilization) obtained by the participation of commercial buildings in fine power utilization, and rho 0 Represents unit price of electricity, ρ m Representing the compensated electricity price, p r Represents the penalty price of electricity, deltat represents the time of load adjustment and reduction response of commercial buildings, deltaP down Represents the actual pressure relief force of the commercial building during the response process, which is equal to the sum of the common pressure relief forces of air conditioning, lighting, power, LED large screen and other loads, delta P down ＝ΔP Air conditioner +ΔP Illumination device +ΔP Power plant +ΔP LED large screen +ΔP Others 。
Preferably, the mathematical models between the constructed temperature comfort level, the illumination comfort level and the economic benefit and various loads of the commercial building have different dimensions, so that the three indexes are normalized before the fine power utilization optimal regulation and control model of the commercial building is constructed, and the normalization processing of the temperature comfort level is as follows:
Figure BDA0003575251220000034
the normalization process of the illumination comfort level is as follows:
Figure BDA0003575251220000035
the normalization treatment of the economic benefit comprises the following steps:
Figure BDA0003575251220000036
F T ,F L ,F profit expressing the normalized temperature comfort evaluation index, illumination comfort index and economic benefit index,
Figure BDA0003575251220000037
and
Figure BDA0003575251220000038
minimum and maximum values representing temperature comfort;
Figure BDA0003575251220000039
and
Figure BDA00035752512200000310
minimum and maximum values representing illuminance comfort; profit min And profit max The minimum value and the maximum value of the economic benefit are shown, the economic benefit is the maximum when the commercial buildings respond according to the response requirements, and the economic benefit is the minimum when the users do not respond at all.
Preferably, the fine power utilization optimal regulation model is as follows:
Figure BDA0003575251220000041
wherein F represents a synthetic optimization objective; alpha, beta and gamma are weight coefficients of a temperature comfort level index, an illumination comfort level index and an economic benefit index respectively, and alpha + beta + gamma is 1;
different weight coefficients are set for the temperature comfort level index, the illumination comfort level index and the economic benefit index, so that the attention degree of the commercial building to the three indexes is reflected; x represents the percentage vector of each type of load reduction, x min Vector representing the minimum value of the percentage of reduction of the various types of load pressure, x max Representing the maximum vector of the various types of load pressure reduction percentage; y is i The daily load rate value of the ith type of load is expressed and used for depicting the daily actual running load rate of the class 5 load of the commercial building; p i Representing the ith type load installed capacity of the commercial building; p target Indicating a target amount of voltage reduction for which a commercial building is required to respond when participating in fine-grained power usage.
The invention has the beneficial effects that:
(1) according to the method for regulating and reducing the fine power utilization coefficients of all levels of the commercial building, the correlation between various load regulation and reduction coefficients and the correlation between the temperature comfort level, the illumination comfort level and the economic benefit are fully considered, the optimal regulation and control model for the fine power utilization of the commercial building, which aims at achieving the purpose that the commercial building participates in the fine power utilization temperature comfort level, the illumination comfort level and the economic benefit at the same time, is established, and the optimal regulation and control of the fine power utilization of all levels of the commercial building are achieved through the regulation of the regulation and reduction coefficient decision variable of various load response fine power utilization of the commercial building. The scientificity and effectiveness of the commercial building participating in the fine power load regulation are greatly improved, the regulation and reduction coefficients of various loads are taken as the regulation targets, the operability and the practicability are good, and the fine power load regulation and control can be completed by the commercial building electrical responsible person safely, accurately and efficiently.
(2) The model provided by the application takes the commercial building as a modeling object, effectively transfers various loads in the building to effectively participate in the fine power utilization, and considers the user satisfaction degree of the commercial building in the fine power utilization, namely the temperature comfort, the illumination comfort and the economic value, so that the result is more in line with the actual energy utilization decision.
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FIG. 1 is a flow chart of the present invention.
Detailed Description
The invention is further described below with reference to the figures and examples.
Example (b):
considering that the fine power utilization of the commercial building is concerned about the temperature comfort, the illumination comfort and the fine power utilization economic benefit, the application provides a method for adjusting and reducing the coefficients of fine power utilization at all levels of the commercial building based on the basic operation parameters of various loads of the commercial building, which is shown in fig. 1 and comprises the following 5 steps.
Step 1) the following formula is adopted to model the temperature comfort of the commercial building.
K T ＝(T indoor_best -T set ) 2 (1)，
T set ＝k·ΔP Air conditioner +b (2)。
In the expressions (1) and (2), the square value of the deviation between the indoor optimum temperature and the temperature set by the user is used as the evaluation standard of the air temperature comfort, K T Representing the comfort level of the air temperature of the user, the lower the value is, the higher the comfort level is; t is a unit of indoor_best The indoor optimal temperature is set; t is set Setting a temperature for a user; load shedding potential delta P of variable frequency air conditioner group Air conditioner With different set temperatures T set The almost linear proportion is obtained, and the higher Ts is, the greater load reduction potential is, so that a linear function relationship exists between the set temperature and the load reduction potential, as shown in formula (2).
And 2) modeling the illumination comfort level of the commercial building by adopting the following formula.
K L ＝(L indoor_best -L average ) 2 (3)，
Figure BDA0003575251220000051
Figure BDA0003575251220000052
In expressions (3), (4) and (5), the square value of the deviation between the indoor optimum illuminance and the average illuminance is used as the evaluation criterion of the illuminance comfort, K L Representing the illumination comfort level of a user, the lower the value, the higher the comfort level; l is indoor_best For optimum indoor illumination, L average Is the average illumination; n is the number of commercial building floors;
Figure BDA0003575251220000055
the average illumination of the ith layer is calculated by the formula: phi is a i The total luminous flux of the light source of the ith layer is represented by the original calculation formula
Figure BDA0003575251220000053
I.e. the layer averages the individual luminaire luminous flux
Figure BDA0003575251220000054
The product of the number of lamps N; the light efficiency index is used for deducting the light efficiency index, the light efficiency index refers to the luminous flux of each watt of the lamp, and different lamp light efficiency indexes are storedIn the difference, the light effect indexes of the common light sources can be obtained by looking up a table; the general commercial building adopts the design of a down lamp, the light source type is a compact fluorescent lamp, the average light efficiency eta is 55lm/W, and therefore, the total power P of the lighting load of the ith floor is determined i The total luminous flux phi of the light source of the layer can be calculated i ＝η×P i (ii) a CU represents the fuzzy utilization coefficient of the light source in a specific place, the fuzzy utilization coefficient can be obtained by looking up a table, commercial buildings generally adopt common down lamps, and the fuzzy utilization coefficient is 0.6; the maintenance coefficient MF is generally 0.7-0.8, here we are 0.75; s i Indicates the total area of the ith layer.
And 3) modeling the fine electricity utilization economic benefits of the commercial buildings by adopting the following formula.
Figure BDA0003575251220000061
In the equation (6), profit represents the economic benefit (demand response or ordered power utilization) obtained by the participation of commercial buildings in the fine power utilization, and p 0 Represents unit price of electricity, ρ m Represents the compensation price of electricity, p r Represents the penalty price of electricity, deltat represents the time of load adjustment and reduction response of commercial buildings, deltaP down Represents the actual pressure relief force of the commercial building during the response process, which is equal to the sum of the common pressure relief forces of air conditioning, lighting, power, LED large screen and other loads, delta P down ＝ΔP Air conditioner +ΔP Illumination device +ΔP Power plant +ΔP LED large screen +ΔP Others 。
Step 4) normalization processing is carried out on three indexes of temperature comfort, illumination comfort and economic benefit concerned by the fine electricity consumption of the commercial buildings, and dimensional influence is eliminated:
Figure BDA0003575251220000062
Figure BDA0003575251220000063
Figure BDA0003575251220000064
in the formulae (7), (8) and (9), F T ,F L ,F profit Expressing the normalized temperature comfort evaluation index, illumination comfort index and economic benefit index,
Figure BDA0003575251220000065
and
Figure BDA0003575251220000066
minimum and maximum values representing temperature comfort;
Figure BDA0003575251220000067
and
Figure BDA0003575251220000068
minimum and maximum values representing illuminance comfort; profit min And profit max And the minimum value and the maximum value of the economic benefit are shown, the economic benefit is maximum when the commercial buildings respond according to the response requirements, and the economic benefit is minimum when the users do not respond at all.
And 5) introducing a weight coefficient, combining a normalization processing result, and converting multi-objective optimization into single-objective optimization by adopting a linear weighting method:
Figure BDA0003575251220000069
in the formula (10), F represents a comprehensive optimization target; alpha, beta and gamma are weight coefficients of a temperature comfort level index, an illumination comfort level index and an economic benefit index respectively, and alpha + beta + gamma is 1. Different weight coefficients are set for the temperature comfort level index, the illumination comfort level index and the economic benefit index, so that the attention degree of commercial buildings to the three indexes can be reflected; x represents the percentage vector of each type of load reduction, x min Vector representing the minimum value of the percentage of reduction of the various types of load pressure, x max Expressing the maximum value of the percent reduction of various types of loadAn amount; y is i The daily load rate value of the ith type of load is expressed and used for depicting the daily actual running load rate of the class 5 load of the commercial building; p i Representing the ith type load installed capacity of the commercial building; p target Indicating a target amount of voltage reduction for which a commercial building is required to respond when participating in fine-grained power usage.
The adjustment and reduction coefficients of various loads of the commercial building participating in the fine power utilization can be determined through the model, so that the specific load value to be adjusted and reduced under the condition that the temperature comfort level, the illumination comfort level and the economic benefit are jointly optimal when the commercial building participates in the fine power utilization at all levels is solved, and the scientific basis for load adjustment and control is provided for the commercial building participating in the fine power utilization.
In conclusion, the invention relates to a load adjustment and reduction method for the fine power utilization of each level of the commercial building, which aims at the maximum of the economic benefits of the optimal temperature comfort level, the optimal illumination comfort level and the fine power utilization based on the various load characteristics and daily load rate conditions of the commercial building.
The above-described embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention in any way, and other variations and modifications may be made without departing from the spirit of the invention as set forth in the claims.

Claims (7)

1. A method for adjusting and reducing coefficients of each level of fine power consumption of commercial buildings is characterized in that firstly, modeling is carried out on temperature comfort, illumination comfort and economic benefit which are concerned about when the commercial buildings participate in the fine power consumption, and data models of the temperature comfort, the illumination comfort and the economic benefit and various loads of the commercial buildings are respectively established, wherein the various loads comprise air conditioning loads, lighting loads, power loads and LED large-screen loads; and then, introducing concepts of various load rates and adjustment and reduction coefficients, converting the multi-objective optimization model into a single-objective optimization model through normalization processing and distribution indexes, and finally solving the percentage value of various load to be adjusted and reduced under the condition of meeting the common best temperature comfort level, illumination comfort level and economic benefit when the commercial buildings participate in fine power utilization at all levels.
2. The method as claimed in claim 1, wherein when the commercial building participates in the fine power utilization, the adjustment coefficients corresponding to the voltage reduction load values to which 5 loads, such as air conditioner, lighting, power, LED large screen and other loads, should respond are control variables: [ x ] of 1 ,x 2 ,x 3 ,x 4 ,x 5 ]To satisfy
Figure FDA0003575251210000011
Wherein Δ P Air conditioner ,ΔP Illumination device ,ΔP Power plant ,ΔP LED large screen ,ΔP Others Voltage reduction load value, P, representing commercial building air conditioning load, lighting load, power load, LED large screen load and other loads in response to fine power usage 1 ,P 2 ,P 3 ,P 4 ,P 5 Installed capacity representing the 5 loads of the commercial building; because 5 types of loads in different commercial buildings have different installed capacities and different daily load rates, a daily load rate constant y of various loads is introduced 1 ,y 2 ,y 3 ,y 4 ,y 5 ]The method is used for depicting the daily actual operation load rate of 5 types of loads of the fine power utilization of a certain commercial building, associating the adjustment and reduction coefficient control variable with the load value of the stress reduction of various types of loads, and constructing a model of the fine power utilization of the commercial building about the adjustment and reduction coefficients of various types of loads.
3. The fine power utilization modulation factor reduction method for each level of the commercial building as claimed in claim 1, wherein the mathematical model between the temperature comfort of the commercial building and the load of the commercial building is specifically as follows:
K T ＝(T indoor_best -T set ) 2 ＝[T indoor_best -(k·ΔP air conditioner +b)] 2 ＝[T indoor_best -(k·(x 1 y 1 P 1 )+b)] 2 ，
Wherein K T The comfort level of the air temperature of the user is represented, and the lower the value is, the higher the comfort level is; t is indoor_best The indoor optimal temperature is set; t is set Setting a temperature for a user; delta P Air conditioner Adjusting the value of the air conditioner load; delta P Air conditioner With different set temperatures T set Almost linearly proportional, and k, b are parameters of a linear function.
4. The method as claimed in claim 1, wherein the mathematical model between the illumination comfort level and the building load is as follows:
Figure FDA0003575251210000021
wherein K L Representing the illumination comfort level of a user, the lower the value, the higher the comfort level; l is a radical of an alcohol indoor_best The optimal indoor illumination is obtained; l is average Is the average illumination; n is the number of commercial building floors;
Figure FDA0003575251210000022
the average illumination of the single layer determined by a fuzzy utilization coefficient method; eta is the average luminous efficiency; p Illumination device Total capacity for the commercial building lighting load; delta P Illumination device Adjusting a value for the lighting load; CU represents the fuzzy utilization coefficient of the light source in a specific place, and the fuzzy utilization coefficient can be obtained by looking up a table; the maintenance coefficient MF is 0.7-0.8; s i Indicates the total area of the ith layer.
5. The method as claimed in claim 1, wherein the mathematical model between the economic benefit of the fine power utilization of the commercial buildings and the building load is as follows:
Figure FDA0003575251210000023
profit represents the economic benefit (demand response or orderly power utilization) obtained by the participation of commercial buildings in fine power utilization, and rho 0 Represents unit price of electricity, ρ m Represents the compensation price of electricity, p r Represents the penalty price of electricity, deltat represents the time of load adjustment and reduction response of commercial buildings, deltaP down Represents the actual pressure relief force of the commercial building during the response process, which is equal to the sum of the common pressure relief forces of air conditioning, lighting, power, LED large screen and other loads, delta P down ＝ΔP Air conditioner +ΔP Illumination device +ΔP Power plant +ΔP LED large screen +ΔP Others 。
6. The method for fine power utilization and factor reduction at each level of the commercial building as claimed in claim 1, wherein the mathematical models of the constructed temperature comfort level, the illumination comfort level and the economic benefit with various loads of the commercial building are different in dimension, so that the three indexes are normalized before the fine power utilization optimal regulation and control model of the commercial building is constructed, and the normalization processing of the temperature comfort level is as follows:
Figure FDA0003575251210000024
the normalization process of the illumination comfort level is as follows:
Figure FDA0003575251210000025
the normalization treatment of the economic benefit comprises the following steps:
Figure FDA0003575251210000026
F T ,F L ,F profit expressing the normalized temperature comfort evaluation index, illumination comfort index and economic benefit index,
Figure FDA0003575251210000027
and
Figure FDA0003575251210000028
minimum and maximum values representing temperature comfort;
Figure FDA0003575251210000029
and
Figure FDA00035752512100000210
minimum and maximum values representing illuminance comfort; profit min And profit max And the minimum value and the maximum value of the economic benefit are shown, the economic benefit is maximum when the commercial buildings respond according to the response requirements, and the economic benefit is minimum when the users do not respond at all.
7. The method as claimed in claim 1, wherein the optimal fine power consumption regulation model is:
Figure FDA0003575251210000031
wherein F represents a synthetic optimization objective; alpha, beta and gamma are weight coefficients of a temperature comfort level index, an illumination comfort level index and an economic benefit index respectively, and alpha + beta + gamma is 1;
different weight coefficients are set for the temperature comfort level index, the illumination comfort level index and the economic benefit index, so that the attention degree of the commercial building to the three indexes is reflected; x represents the percentage vector of each type of load reduction, x min Vector representing the minimum value of the percentage of reduction of the various types of load pressure, x max Representing the maximum vector of the various types of load pressure reduction percentage; y is i The daily load rate value of the ith type of load is expressed and used for depicting the daily actual running load rate of the class 5 load of the commercial building; p i Representing the ith type load installed capacity of the commercial building; p target Indicating a target amount of pressure reduction that a commercial building is required to respond to while participating in fine-grained electricity usage.
CN202210342296.XA 2022-03-31 2022-03-31 Fine power utilization coefficient adjustment and reduction method for various levels of commercial building Pending CN114977201A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115562102A (en) * 2022-09-23 2023-01-03 中国石油大学(北京) Control method and device for energy pipeline, processor and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115562102A (en) * 2022-09-23 2023-01-03 中国石油大学(北京) Control method and device for energy pipeline, processor and storage medium

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