CN113361779A - Commercial power utilization optimization method and system and storage medium - Google Patents
Commercial power utilization optimization method and system and storage medium Download PDFInfo
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Abstract
The invention relates to a commercial power utilization optimization method and system, computer equipment and a storage medium, comprising the following steps of: acquiring power utilization information of a user; determining various types of load equipment of a user according to the power utilization information; each type of load equipment is one or more of a load transferable type in a power utilization period, a load transferable type in a short time in the power utilization period, a load power adjustable type, a load non-transferable type and an energy storage equipment type; carrying out optimization solution on the power utilization scheme according to various types of load equipment of the user and a preset power utilization optimization model to obtain an optimal power utilization scheme of the user; the power utilization optimization model is optimized and solved according to power utilization energy efficiency and power charge, and the optimization target of the model is power charge minimization and power utilization energy efficiency maximization under the condition of power charge minimization; generating power utilization recommendation information according to the optimal power utilization scheme, and sending the power utilization recommendation information to user equipment; the power utilization efficiency of commercial users can be improved, and green power utilization is promoted.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a commercial electricity optimization method and system and a storage medium.
Background
With the development of socio-economy in China, the proportion of commercial power energy consumption is increased year by year, and especially, the quantity of equipment used for commercial air conditioners, boilers and the like is continuously increased, so that the requirement on the reliability of a power system is higher and higher. With the continuous and perfect construction of the Ubiquitous power Internet of Things (UEIOT, Ubiquitous Electric Internet of Things), research on the power energy efficiency and commercial power utilization optimization method directly oriented to the commercial users is helpful for promoting the construction and application of the Ubiquitous power Internet of Things, improving the power utilization efficiency of the commercial users and promoting green power utilization.
Disclosure of Invention
The invention aims to provide a commercial power utilization optimization method and system and a computer readable storage medium, so as to improve the power utilization efficiency of commercial users and promote green power utilization.
In order to achieve the above object, a first aspect of the present invention provides a method for optimizing commercial power consumption, comprising the steps of:
acquiring the electricity utilization information of a commercial electricity utilization user;
determining various types of load equipment of the commercial power utilization user according to the power utilization information; the load equipment of each type is one or more of a load transferable type in a power utilization period, a load transferable type in a short time in the power utilization period, a load power adjustable type, a load non-transferable type and an energy storage equipment type;
carrying out optimization solution on the power utilization scheme according to various types of load equipment of the commercial power utilization users and a preset power utilization optimization model to obtain an optimal power utilization scheme of the commercial power utilization users; the power utilization optimization model is optimized and solved according to power utilization energy efficiency and power charge, and the optimization target of the model is power charge minimization and power utilization energy efficiency maximization under the condition of power charge minimization;
and generating power utilization recommendation information according to the optimal power utilization scheme, and sending the power utilization recommendation information to user equipment.
Optionally, the time of day is segmented into n equal parts, and the load device models of the electricity consumption period load transferable type, the electricity consumption period load transferable type for a short time, the load power adjustable type, and the load non-transferable type are as follows:
Li,j＝Pi,j·Ti,j
wherein i is a load equipment type; l isi,jIs the power consumption vector of the load equipment j of type i; pi,j＝diag(pi,j1,pi,j2,…,pi,jn) Representing the use power matrix of the load equipment of the type i, wherein each element of the use power matrix represents the use power value of the load equipment j of the type i in a corresponding use time period; t isi,j＝[ti,j1,ti,j2,…,ti,jn]TRepresenting a usage time vector of a load device j of type i;
wherein the load device model of the energy storage device type is as follows:
C(t+1)＝C(t)(1-δc)+(Pch(t)η1-Pdis(t)η2)·Δt
wherein, deltacIs the self-discharge rate of the energy storage device, and represents the natural loss of the electric energy; pch(t) and Pdis(t) charging and discharging power of the energy storage device respectively; eta1And η2Respectively the charging and discharging efficiency of the energy storage equipment; Δ t is a charging and discharging time length, C (t) is the stored electric quantity of the energy storage device at the initial time of the t time period, and C (t +1) is the stored electric quantity of the energy storage device at the initial time of the t +1 time period.
Optionally, the load equipment model of the electricity consumption period load transferable type satisfies the following constraint:
wherein i ═ 1 represents a power consumption period load transferable type, and s and k are time periods;
the load equipment model of the type that the load can be transferred in a short time in the power utilization period meets the following constraint:
wherein, i-2 represents the type that the load can be transferred in a short time in the power utilization period, s and k are time periods, and m is a time period allowing short-time power failure;
the load equipment model of the load power adjustable type meets the following constraints:
pi＝3,jmin≤Pi＝3,j(t)≤pi＝3,jmax
where i-3 denotes a load power adjustable type, pi＝3,jminAnd pi＝3,jmaxRespectively representing the maximum power and the minimum power of load equipment of the load power adjustable type acceptable by a user;
the load device model for the energy storage device type satisfies the following constraints:
0≤Pch(t)≤pch,max·ch(t)
0≤Pdis(t)≤pdis,max·dis(t)
wherein p isch,maxAnd pdis,maxThe maximum charging power and the maximum discharging power of the energy storage equipment are respectively; ch (t) and dis (t) are respectively charge and discharge state signs of the energy storage device, and the values thereof are respectively:
wherein, i-4 represents a load device model of a load non-transferable type, and i-5 represents an energy storage device type.
Optionally, the power utilization optimization model is optimized according to the power utilization energy efficiency and the electric charge to minimize the electric charge and maximize the power utilization energy efficiency, and is specifically shown as follows:
ti＝1,jmin≤ti＝1,j≤ti＝1,jmax
Cmin≤C(t)≤Cmax
wherein p isiOverall energy efficiency weight of load device of class i, qijEnergy efficiency weight, x, of the jth load device of class iijAn initial energy efficiency index value, γ, for a load device j of type iijEnergy efficiency correction factor, x, for a load device j of type ii′jEvaluating an index value for the energy efficiency of the modified load equipment j of the type i; c. CcostIndicating the electricity charge of the user for one day, CtIs a time-of-use price vector, LmaxIndicating the maximum line capacity, P, of a commercial subscriberchAnd PdisRespectively representing charge and discharge power vectors of the energy storage equipment;
the task amount of the load device of the load transferable type representing the before and after electricity utilization period is optimized is not changed,
representing an exclusive-OR operation, smaxIndicating the maximum number of power-downs, t, of devices of the short-time transferable type acceptable to the useri＝1,jIndicating the starting moment of the device, ti＝1,jmin，ti＝1,jmaxRespectively representing the earliest and latest starting time, C, of a load device j of load transferable type during a power consumption periodmaxAnd CminRespectively the upper limit and the lower limit of the electric quantity of the energy storage device.
Optionally, the energy efficiency correction coefficient of the load device of the load transferable in load during the electricity consumption period is as follows:
si′＝1,jfor the optimized load equipment use starting moment, the correction coefficient represents the time transfer rate of transferable loads, and alpha is a correction constant relative to the power adjustable load energy efficiency correction coefficient;
the energy efficiency correction coefficient of the load equipment with the load capable of being transferred in a short time in the electricity utilization period is as follows:
the energy efficiency correction coefficient of the load equipment with the adjustable load power is as follows:
Li′＝3,j(t) represents the optimized negativeThe energy efficiency correction coefficient of the power consumption reduction rate of the load with adjustable load power;
energy efficiency correction coefficient gamma of the load equipment with the load non-transferable typeij＝0。
The second aspect of the present invention provides a commercial power optimization system, including:
the information acquisition module is used for acquiring the electricity utilization information of commercial electricity utilization users;
the equipment type determining module is used for determining various types of load equipment of the commercial electricity utilization users according to the electricity utilization information; the load equipment of each type is one or more of a load transferable type in a power utilization period, a load transferable type in a short time in the power utilization period, a load power adjustable type, a load non-transferable type and an energy storage equipment type;
the optimization solving module is used for carrying out optimization solving on the electricity utilization scheme according to various types of load equipment of the commercial electricity utilization users and a preset electricity utilization optimization model to obtain the optimal electricity utilization scheme of the commercial electricity utilization users; the power utilization optimization model is optimized and solved according to power utilization energy efficiency and power charge, and the optimization target of the model is power charge minimization and power utilization energy efficiency maximization under the condition of power charge minimization; and
and the power utilization recommending module is used for generating power utilization recommending information according to the optimal power utilization scheme and sending the power utilization recommending information to user equipment.
A third aspect of the present invention provides a computer apparatus comprising:
a memory for storing a computer program; and
a processor for implementing the steps of the commercial power optimization method of any one of claims 1 to 5 when executing the computer program.
A fourth aspect of the invention proposes a computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for optimizing commercial power consumption according to the first aspect.
To sum up, the embodiment of the present invention provides a commercial power optimization method and system, a computer device, and a storage medium, which have at least the following beneficial effects:
classifying load equipment of a commercial power user, providing a two-stage energy efficiency index system based on the classification type of the load equipment and specific load equipment under each classification, determining various types of load equipment of the commercial power user according to the power equipment information by acquiring the power equipment information of the commercial power user, and performing optimization solution on a power utilization scheme according to the various types of load equipment of the commercial power user, the two-stage energy efficiency index system and a preset power utilization optimization model to obtain an optimal power utilization scheme of the commercial power user; finally, generating power utilization recommendation information according to the optimal power utilization scheme, and sending the power utilization recommendation information to user equipment; the commercial power utilization user uses electric energy according to the power utilization recommending information, so that the power utilization efficiency of the commercial power utilization user can be improved, and green power utilization is promoted.
Additional features and advantages of the invention will be set forth in the description which follows.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a commercial power optimization method according to an embodiment of the present invention.
Fig. 2 is a diagram of a framework of a commercial power optimization system according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In addition, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present invention. It will be understood by those skilled in the art that the present invention may be practiced without some of these specific details. In some instances, well known means have not been described in detail so as not to obscure the present invention.
Referring to fig. 1, an embodiment of the present invention provides a commercial power optimization method, including the following steps:
step S1, acquiring the electricity utilization information of the commercial electricity utilization user;
specifically, the electricity consumption information includes all load equipment information of the commercial electricity consumer, and electricity consumption amount information, electricity consumption time information, and the like of the load equipment;
step S2, determining various types of load equipment of the commercial electricity utilization user according to the electricity utilization information; the load equipment of each type is one or more of a load transferable type in a power utilization period, a load transferable type in a short time in the power utilization period, a load power adjustable type, a load non-transferable type and an energy storage equipment type;
specifically, a plurality of load device types are defined in advance in step S2: the load can be transferred in the electricity utilization period, the load can be transferred in a short time in the electricity utilization period, the load power can be adjusted, the load can not be transferred, and the energy storage device can be used for storing energy; after all the load equipment information of the user is obtained, matching one by one according to all the load equipment information and a plurality of predefined load equipment types to obtain the specific load equipment condition of each load equipment type of the user;
step S3, carrying out optimization solution on the electricity utilization scheme according to various types of load equipment of the commercial electricity utilization user and a preset electricity utilization optimization model to obtain the optimal electricity utilization scheme of the commercial electricity utilization user; the power utilization optimization model is optimized and solved according to power utilization energy efficiency and power charge, and the optimization target of the model is power charge minimization and power utilization energy efficiency maximization under the condition of power charge minimization;
specifically, each load device type corresponds to a primary weight, each specific load device corresponds to a secondary weight and an initially given energy efficiency index value, and the higher the energy efficiency index is, the more energy is saved; in the embodiment, the lowest electricity charge is taken as a first optimization target for optimization, and then, under the condition of lowest electricity charge, a second optimization target is further realized, namely, the efficiency is maximized; in this embodiment, the optimization solution in step S3 may adopt an algorithm of iterative solution calculation, and is not specifically limited to a certain algorithm; the optimization of the step S3 can be understood as solving the power utilization strategies of all load devices of the commercial power utilization users; the higher the energy efficiency index value is, the more energy-saving the electric equipment is;
step S4, generating electricity utilization recommendation information according to the optimal electricity utilization scheme, and sending the electricity utilization recommendation information to user equipment;
specifically, the optimal power utilization scheme includes power utilization strategies of all load devices of the commercial power utilization users, under which the target result optimized in step S3 is achieved.
Optionally, the time of day is segmented into n equal parts, and the load device models of the electricity consumption period load transferable type, the electricity consumption period load transferable type for a short time, the load power adjustable type, and the load non-transferable type are as follows:
Li,j＝Pi,j·Ti,j
wherein i is a load equipment type; l isi,jIs the power consumption vector of the load equipment j of type i; pi,j＝diag(pi,j1,pi,j2,…,pi,jn) The power matrix used by the load device of type i is represented, and is generally a constant diagonal matrix, and each element of the matrix represents the power value used by the load device j of type i in the corresponding use time period; t isi,j＝[ti,j1,ti,j2,…,ti,jn]TRepresenting a usage time vector of a load device j of type i;
wherein the content of the first and second substances,
wherein the load device model of the energy storage device type is as follows:
C(t+1)＝C(t)(1-δc)+(Pch(t)η1-Pdis(t)η2)·Δt
wherein, deltacIs the self-discharge rate of the energy storage device, and represents the natural loss of the electric energy; pch(t) and Pdis(t) charging and discharging power of the energy storage device respectively; eta1And η2Respectively the charging and discharging efficiency of the energy storage equipment; Δ t is a charging and discharging time length, C (t) is the stored electric quantity of the energy storage device at the initial time of the t time period, and C (t +1) is the stored electric quantity of the energy storage device at the initial time of the t +1 time period.
Optionally, the load usage has partial continuity to the user, so the load device model of the electricity usage period load transferable type meets the following constraints:
wherein i ═ 1 represents a power consumption period load transferable type, and s and k are time periods; indicating that the usage habit of the user in the (k, s) time period is that the device is not interrupted;
the load which can be transferred in a short time has long-time property and discreteness for the user, so the load equipment model of the load which can be transferred in a short time in the electricity utilization period meets the following constraint:
wherein, i-2 represents the type that the load can be transferred in a short time in the power utilization period, s and k are time periods, and m is a time period allowing short-time power failure;
the load equipment model of the load power adjustable type meets the following constraints:
pi＝3,jmin≤Pi＝3,j(t)≤pi＝3,jmax
where i-3 denotes a load power adjustable type, pi＝3,jminAnd pi＝3,jmaxRespectively representing the maximum power and the minimum power of load equipment of the load power adjustable type acceptable by a user;
the load device model for the energy storage device type satisfies the following constraints:
0≤Pch(t)≤pch,max·ch(t)
0≤Pdis(t)≤pdis,max·dis(t)
wherein p isch,maxAnd pdis,maxThe maximum charging power and the maximum discharging power of the energy storage equipment are respectively; ch (t) and dis (t) are respectively charge and discharge state signs of the energy storage device, and the values thereof are respectively:
wherein, i-4 represents a load device model of a load non-transferable type, and i-5 represents an energy storage device type.
Optionally, the power utilization optimization model is optimized according to the power utilization energy efficiency and the electric charge to minimize the electric charge and maximize the power utilization energy efficiency, and is specifically shown as follows:
ti＝1,jmin≤ti＝1,j≤ti＝1,jmax
Cmin≤C(t)≤Cmax
wherein p isiOverall energy efficiency weight of load device of class i, qijEnergy efficiency weight, x, of the jth load device of class iijAn initial energy efficiency index value, γ, for a load device j of type iijEnergy efficiency correction factor, x, for a load device j of type ii′jEvaluating an index value for the energy efficiency of the modified load equipment j of the type i; c. CcostIndicating the electricity charge of the user for one day, CtIs a time-of-use price vector, LmaxIndicating the maximum line capacity, P, of a commercial subscriberchAnd PdisRespectively representing charge and discharge power vectors of the energy storage equipment;
the task amount of the load device of the load transferable type representing the before and after electricity utilization period is optimized is not changed,
representing an exclusive-OR operation, smaxIndicating the maximum number of power-downs, t, of devices of the short-time transferable type acceptable to the useri＝1,jIndicating the starting moment of the device, ti＝1,jmin，ti＝1,jmaxRespectively representing the earliest and latest starting time, C, of a load device j of load transferable type during a power consumption periodmaxAnd CminRespectively the upper limit and the lower limit of the electric quantity of the energy storage device.
Optionally, the energy efficiency correction coefficient of the load device of the load transferable in load during the electricity consumption period is as follows:
si′＝1,jfor the optimized load equipment use starting moment, the correction coefficient represents the time transfer rate of transferable loads, and alpha is a correction constant relative to the power adjustable load energy efficiency correction coefficient;
the energy efficiency correction coefficient of the load equipment with the load capable of being transferred in a short time in the electricity utilization period is as follows:
the energy efficiency correction coefficient of the load equipment with the adjustable load power is as follows:
L′i＝3,j(t) represents the optimized load power adjustable type load equipment power consumption, and the energy efficiency correction coefficient represents the power consumption reduction rate of the power adjustable type load;
energy efficiency correction coefficient gamma of the load equipment with the load non-transferable typeij＝0。
In another embodiment of the present invention, a commercial power optimization system is provided, and the system of this embodiment may be used to implement the method of the foregoing embodiment, with reference to fig. 2, the system of this embodiment includes:
the information acquisition module 11 is used for acquiring the electricity utilization information of the commercial electricity utilization users;
the equipment type determining module 12 is configured to determine various types of load equipment of the commercial power utilization user according to the power utilization information; the load equipment of each type is one or more of a load transferable type in a power utilization period, a load transferable type in a short time in the power utilization period, a load power adjustable type, a load non-transferable type and an energy storage equipment type;
the optimization solving module 13 is configured to perform optimization solving on the power utilization scheme according to each type of load device of the commercial power utilization user and a preset power utilization optimization model, so as to obtain an optimal power utilization scheme of the commercial power utilization user; the power utilization optimization model is optimized and solved according to power utilization energy efficiency and power charge, and the optimization target of the model is power charge minimization and power utilization energy efficiency maximization under the condition of power charge minimization; and
and the power utilization recommending module 14 is used for generating power utilization recommending information according to the optimal power utilization scheme and sending the power utilization recommending information to user equipment.
The above-described system embodiments are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
It should be noted that the system described in the foregoing embodiment corresponds to the method described in the foregoing embodiment, and therefore, a part of the system described in the foregoing embodiment that is not described in detail can be obtained by referring to the content of the method described in the foregoing embodiment, that is, the specific step content described in the method of the foregoing embodiment can be understood as the function that can be realized by the system of the present embodiment, and is not described herein again.
Moreover, when the commercial power optimization system according to the above embodiment is implemented in the form of a software functional unit and sold or used as a standalone product, the software functional unit may be stored in a computer-readable storage medium.
Another embodiment of the present invention provides a computer apparatus, including:
a memory for storing a computer program; and
a processor for implementing the steps of the method for resource scheduling in a data center according to the first aspect when executing the computer program.
For example, referring to fig. 3, the computer device may include a memory 21, a processor 22, and a bus 23;
the memory 21 includes at least one type of readable storage medium, which includes a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The memory 21 may be an internal storage unit of the computer device in some embodiments. The memory 21 may also be an external storage device of the computer device in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the computer device. Further, the memory 21 may also include both an internal storage unit and an external storage device of the computer device. The memory 21 can be used for storing application software installed in the computer device and various data, such as: the code of the program that executes the vehicle refueling behavior recognition method, etc., may also be used to temporarily store data that has been output or is to be output.
The bus 23 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 3, but this does not mean only one bus or one type of bus.
Further, the computer device may further include a network interface 24, and the network interface 24 may optionally include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), which are generally used to establish a communication connection between the computer device and other electronic devices.
Optionally, the computer device may further comprise a user interface 25, the user interface 25 may comprise a Display (Display), an input unit such as keys, and the optional user interface 25 may also comprise a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the computer device and for displaying a visualized user interface.
While fig. 3 shows only a computer device having components 21-25, those skilled in the art will appreciate that the configuration shown in fig. 3 does not constitute a limitation of the computer device, and may include fewer or more components than shown, or some components may be combined, or a different arrangement of components.
Another embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the commercial power optimization method of the above-mentioned embodiment.
Specifically, the computer-readable storage medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (8)
1. A method for optimizing commercial power utilization, comprising the steps of:
acquiring the electricity utilization information of a commercial electricity utilization user;
determining various types of load equipment of the commercial power utilization user according to the power utilization information; the load equipment of each type is one or more of a load transferable type in a power utilization period, a load transferable type in a short time in the power utilization period, a load power adjustable type, a load non-transferable type and an energy storage equipment type;
carrying out optimization solution on the power utilization scheme according to various types of load equipment of the commercial power utilization users and a preset power utilization optimization model to obtain an optimal power utilization scheme of the commercial power utilization users; the power utilization optimization model is optimized and solved according to power utilization energy efficiency and power charge, and the optimization target of the model is power charge minimization and power utilization energy efficiency maximization under the condition of power charge minimization;
and generating power utilization recommendation information according to the optimal power utilization scheme, and sending the power utilization recommendation information to user equipment.
2. The commercial power optimization method of claim 1,
the load equipment models of the load transferable type, the short-time transferable type of the load in the power utilization period, the adjustable type of the load power and the non-transferable type of the load are as follows:
Li,j＝Pi,j·Ti,j
wherein i is a load equipment type; l isi,jIs the power consumption vector of the load equipment j of type i; pi,j＝diag(pi,j1,pi,j2,…,pi,jn) Representing the use power matrix of the load equipment of the type i, wherein each element of the use power matrix represents the use power value of the load equipment j of the type i in a corresponding use time period; t isi,j＝[ti,j1,ti,j2,…,ti,jn]TRepresenting a usage time vector of a load device j of type i;
wherein the load device model of the energy storage device type is as follows:
C(t+1)＝C(t)(1-δc)+(Pch(t)η1-Pdis(t)η2)·Δt
wherein, deltacIs the self-discharge rate of the energy storage device, and represents the natural loss of the electric energy; pch(t) and Pdis(t) charging and discharging power of the energy storage device respectively; eta1And η2Respectively the charging and discharging efficiency of the energy storage equipment; Δ t is a charging and discharging time length, C (t) is the stored electric quantity of the energy storage device at the initial time of the t time period, and C (t +1) is the stored electric quantity of the energy storage device at the initial time of the t +1 time period.
3. The commercial power optimization method of claim 2,
the load equipment model of the load transferable type in the electricity utilization period meets the following constraint:
wherein i ═ 1 represents a power consumption period load transferable type, and s and k are time periods;
the load equipment model of the type that the load can be transferred in a short time in the power utilization period meets the following constraint:
wherein, i-2 represents the type that the load can be transferred in a short time in the power utilization period, s and k are time periods, and m is a time period allowing short-time power failure;
the load equipment model of the load power adjustable type meets the following constraints:
pi＝3,jmin≤Pi＝3,j(t)≤pi＝3,jmax
where i-3 denotes a load power adjustable type, pi＝3,jminAnd pi＝3,jmaxRespectively representing the maximum power and the minimum power of load equipment of the load power adjustable type acceptable by a user;
the load device model for the energy storage device type satisfies the following constraints:
0≤Pch(t)≤pch,max·ch(t)
0≤Pdis(t)≤pdis,max·dis(t)
wherein p isch,maxAnd pdis,maxThe maximum charging power and the maximum discharging power of the energy storage equipment are respectively; ch (t) and dis (t) are respectively charge and discharge state signs of the energy storage device, and the values thereof are respectively:
wherein, i-4 represents a load device model of a load non-transferable type, and i-5 represents an energy storage device type.
4. The commercial power optimization method according to claim 3, wherein the power optimization model is optimized according to the power efficiency and the electric charge so as to minimize the electric charge and maximize the power efficiency, and the method is specifically as follows:
ti＝1,jmin≤ti＝1,j≤ti＝1,jmax
Cmin≤C(t)≤Cmax
wherein p isiOverall energy efficiency weight of load device of class i, qijEnergy efficiency weight, x, of the jth load device of class iijAn initial energy efficiency index value, γ, for a load device j of type iijEnergy efficiency correction factor, x, for a load device j of type ii′jEvaluating an index value for the energy efficiency of the modified load equipment j of the type i; c. CcostIndicating the electricity charge of the user for one day, CtIs a time-of-use price vector, LmaxRepresenting commercial usersMaximum capacity of the line, PchAnd PdisRespectively representing charge and discharge power vectors of the energy storage equipment;
the task amount of the load device of the load transferable type representing the before and after electricity utilization period is optimized is not changed,
representing an exclusive-OR operation, smaxIndicating the maximum number of power-downs, t, of devices of the short-time transferable type acceptable to the useri＝1,jIndicating the starting moment of the device, ti＝1,jmin，ti＝1,jmaxRespectively representing the earliest and latest starting time, C, of a load device j of load transferable type during a power consumption periodmaxAnd CminRespectively the upper limit and the lower limit of the electric quantity of the energy storage device.
5. The commercial power optimization method of claim 4,
wherein, the energy efficiency correction coefficient of the load equipment with transferable load in the electricity consumption time interval is as follows:
s′i＝1,jfor the optimized load equipment use starting moment, the correction coefficient represents the time transfer rate of transferable loads, and alpha is a correction constant relative to the power adjustable load energy efficiency correction coefficient;
the energy efficiency correction coefficient of the load equipment with the load capable of being transferred in a short time in the electricity utilization period is as follows:
the energy efficiency correction coefficient of the load equipment with the adjustable load power is as follows:
L′i＝3,j(t) represents the optimized load power adjustable type load equipment power consumption, and the energy efficiency correction coefficient represents the power consumption reduction rate of the power adjustable type load;
energy efficiency correction coefficient gamma of the load equipment with the load non-transferable typeij＝0。
6. A commercial power optimization system, comprising the steps of:
the information acquisition module is used for acquiring the electricity utilization information of commercial electricity utilization users;
the equipment type determining module is used for determining various types of load equipment of the commercial electricity utilization users according to the electricity utilization information; the load equipment of each type is one or more of a load transferable type in a power utilization period, a load transferable type in a short time in the power utilization period, a load power adjustable type, a load non-transferable type and an energy storage equipment type;
the optimization solving module is used for carrying out optimization solving on the electricity utilization scheme according to various types of load equipment of the commercial electricity utilization users and a preset electricity utilization optimization model to obtain the optimal electricity utilization scheme of the commercial electricity utilization users; the power utilization optimization model is optimized and solved according to power utilization energy efficiency and power charge, and the optimization target of the model is power charge minimization and power utilization energy efficiency maximization under the condition of power charge minimization; and
and the power utilization recommending module is used for generating power utilization recommending information according to the optimal power utilization scheme and sending the power utilization recommending information to user equipment.
7. A computer device, comprising:
a memory for storing a computer program; and
a processor for implementing the steps of the commercial power optimization method of any one of claims 1 to 5 when executing the computer program.
8. A computer readable storage medium having computer program instructions stored thereon which, when executed by a processor, implement the steps of the commercial power optimization method of any one of claims 1 to 5.
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