CN113190574B - Method and system for scheduling source load data of electric heating comprehensive energy - Google Patents
Method and system for scheduling source load data of electric heating comprehensive energy Download PDFInfo
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Abstract
The invention discloses a source load data scheduling method and system of electric heating comprehensive energy, belonging to the field of comprehensive energy system operation, wherein the method comprises the following steps: uploading longitude and latitude coordinates, distributed source load types, property rights, real-time data types and real-time operation data of distributed source loads by intelligent electronic equipment at each distributed source load; the dispatching master station judges whether the corresponding distributed source load is in the closed area or not by utilizing the longitude and latitude coordinates of the distributed source load; aiming at all distributed source loads in the closed area, the scheduling master station distinguishes real-time operation data of all distributed source loads in the closed area according to the distributed source load types, property rights and data types, and real-time classification statistical calculation is carried out to obtain real-time operation data of power loads and real-time operation data of heat sources and heat loads. The invention can accurately acquire real-time operation data of various distributed source loads in a given area, thereby implementing fine scheduling and control on distributed power sources and distributed heat sources.
Description
Technical Field
The invention belongs to the field of operation of comprehensive energy systems, and particularly relates to a source load data scheduling method and system of electric heating comprehensive energy.
Background
As the permeability of distributed energy increases year by year, the proportion of distributed energy in the total energy proportion increases year by year, and local areas are already a high proportion of distributed energy application pattern. For a long time, distributed energy resources are processed in a combined manner with loads in scheduling control, and a distributed power source is used as a negative load and is superposed with the loads to form a net load, for example, the distributed power source and the electric loads are superposed to form a net electric load; the distributed heat source and the heat load are superposed to form a net heat load. This approach does not consider distributed energy as a schedulable or controllable resource, and once distributed energy reaches a high percentage, e.g., more than 10%, in the integrated energy system, the operating efficiency of the integrated energy system will be greatly reduced.
The virtual power plant technology is a technology capable of scheduling and controlling distributed energy, and scheduling and controlling are carried out by taking a plurality of distributed energy as a whole, and equivalently called a virtual power plant. However, there is a hypothetical premise for virtual plant scheduling and control that all distributed energy operating parameters are known. It is currently generally assumed that a virtual power plant dispatch center can accomplish data acquisition and control of distributed energy resources. Due to the fact that the distributed energy sources are large in quantity, the installation positions are scattered, different property rights belong to the distributed energy sources, the conventional point-to-point and point-to-multipoint data acquisition and control ideas have application complexity, new technical idea support is needed for completing the data acquisition and control of the distributed energy sources, and the distributed energy sources are convenient and visual to apply.
In summary, the existing point-to-point and point-to-multipoint scheduling methods are often complex and not intuitive enough in application; in addition, property rights are not distinguished, and benefits of different owners cannot be considered; meanwhile, fine scheduling and control can not be carried out on distributed energy.
Disclosure of Invention
Aiming at the defects or improvement requirements of the prior art, the invention provides a source load data scheduling method and system of electric heating comprehensive energy, aiming at accurately measuring the real-time output and active power of a distributed power supply and a heat source and facilitating the accurate scheduling of the distributed power supply and the heat source.
To achieve the above object, according to an aspect of the present invention, there is provided a source load data scheduling method for an electric heating comprehensive energy source, including:
s1: uploading longitude and latitude coordinates, distributed source load types, property rights, real-time data types and real-time operation data of distributed source loads by intelligent electronic equipment at each distributed source load;
s2: the dispatching master station judges whether the corresponding distributed source load is in the closed area or not by utilizing the longitude and latitude coordinates of the distributed source load;
s3: aiming at all distributed source loads in the closed area, the scheduling main station distinguishes real-time operation data of all distributed source loads in the closed area according to the distributed source load types, the property rights and the data types, and real-time classification statistical calculation is carried out to obtain real-time operation data of power supplies and loads accessed to a distribution line for supplying power to the closed area and real-time operation data of heat sources and heat loads accessed to a heat pipeline for supplying heat to the closed area.
In an embodiment, the performing real-time classified statistics in S3 obtains real-time operation data of a power source and a load connected to a distribution line supplying power to the closed area, and real-time operation data of a heat source and a heat load connected to a heat pipe supplying heat to the closed area, including:
using a formula
Calculating real-time active power of a power supply which is connected to a power distribution line for supplying power to the closed region and has the same property right;
using formulas
Calculating a supply to the enclosed areaThe heat source which is connected to the heat distribution pipeline and has the same property right belongs to the heat source in real time;
wherein P represents the sum of active power generated by all distributed power supply devices in the closed area; p i The active power generated by the ith distributed power supply device is represented; n is a radical of 1 The total number of distributed power supply devices in the closed area; q represents the sum of the heat emitted by all distributed heat source devices within the enclosed area; q i Representing the heat emitted by the ith distributed heat source device; n is a radical of 2 Is the total number of distributed heat source devices in the enclosed area.
In one embodiment, before S3, the method further includes:
output P in a distributed power supply in an enclosed area i ' which is the active power P generated by the distributed power supply device connected to the corresponding distribution line i (ii) a And further obtaining active power sent by all the distributed power supply devices in the closed area.
In one embodiment, before S3, the method further includes:
heat output Q in a distributed heat source in an enclosed area i ', as heat Q generated by distributed heat source devices connected to corresponding heat supply pipelines i (ii) a And further obtaining the heat emitted by all the distributed heat source devices in the closed area.
In one embodiment, the distributed source load types include: the distributed energy storage system comprises a distributed power supply device, a distributed energy storage device and a distributed heat source device; different distributed source payload types are identified with different reference numerals.
In one embodiment, the title belongings refer to title belongings of the distributed source charge, and different belongings are identified by different numbers or character strings.
In one embodiment, the data types include: active power emitted by the distributed power supply device, charging and discharging active power of the distributed energy storage device and heat emitted by the distributed heat source device; different data types are identified by different numbers.
According to another aspect of the present invention, there is provided a source load data scheduling system for an electric heat comprehensive energy source, comprising:
the intelligent electronic equipment is arranged at each distributed source load position and used for uploading the longitude and latitude coordinates, the distributed source load type, the property right and the data type of the distributed source load;
the dispatching master station is connected with the intelligent electronic equipment and used for judging whether the corresponding distributed source load is in the closed area or not by utilizing the longitude and latitude coordinates of the distributed source load; aiming at all distributed source loads in the closed area, the scheduling main station distinguishes real-time operation data of all distributed source loads in the closed area according to the distributed source load types, the property rights and the data types, and real-time classification statistical calculation is carried out to obtain real-time operation data of power supplies and loads accessed to a distribution line for supplying power to the closed area and real-time operation data of heat sources and heat loads accessed to a heat pipeline for supplying heat to the closed area.
In general, compared with the prior art, the above technical solution contemplated by the present invention can achieve the following beneficial effects:
(1) The method can accurately acquire real-time operation data of various distributed source loads in a given area, so that the distributed power sources and the distributed heat sources are finely scheduled and controlled, and the current situation that the distributed power sources and the distributed heat sources cannot be finely scheduled and controlled only by acquiring the net load through a gateway meter at present is changed;
(2) The method can conveniently realize the software openness of the distributed source load system, randomly increase and reduce the distributed source load devices, and can acquire real-time running data of the distributed source load system in real time without changing the software of a dispatching system or reconfiguring.
Drawings
FIG. 1 is an environmental application diagram of a method for scheduling source load data of an electric heat integrated energy source according to an embodiment;
FIG. 2 is a flow chart of a method for scheduling source load data of the electric heating complex energy according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Fig. 1 is an environment application diagram of a source charge data scheduling method of electric heating integrated energy in an embodiment, a preposed data acquisition subsystem of a scheduling master station acquires all operation data of an electric heating integrated energy system, including distributed source charge data, and the operation data is acquired once in each scheduling period. And then the scheduling master station runs the electric heating comprehensive optimization scheduling software module to generate a scheduling instruction, and the scheduling instruction is executed in a remote control and remote regulation mode.
As shown in fig. 2, the invention provides a source load data scheduling method of electric heating comprehensive energy, comprising:
s1: uploading longitude and latitude coordinates, distributed source load types, property rights, real-time data types and real-time operation data of distributed source loads by intelligent electronic equipment at each distributed source load;
s2: the dispatching master station judges whether the corresponding distributed source load is in the closed area or not by utilizing the longitude and latitude coordinates of the distributed source load;
s3: aiming at all distributed source loads in the closed region, the scheduling master station distinguishes real-time operation data of all distributed source loads in the closed region according to the distributed source load types, property rights and data types, and carries out real-time classification statistical calculation. The real-time classification statistical calculation result is used as real-time operation data of a power supply and a load accessed to a distribution line for supplying power to the closed area, and real-time operation data of a heat source and a heat load accessed to a heat pipeline for supplying heat to the closed area.
In order to collect the distributed source load data, intelligent electronic equipment needs to be installed at each distributed source load position to realize data collection, and then the collected data is sent to the scheduling master station. The information uploaded by the distributed source charge intelligent electronic equipment comprises longitude and latitude coordinates, distributed source charge types, property rights, real-time data types and real-time operation data.
In one embodiment, in S3
The real-time operation data of the power supply and the load accessed to the distribution line for supplying power to the closed area and the real-time operation data of the heat source and the heat load accessed to the heat distribution pipeline for supplying heat to the closed area are counted and calculated in real time, and the method comprises the following steps:
using a formula
Calculating real-time active power of a power supply which is connected to a power distribution line for supplying power to the closed region and has the same property right;
using a formula
Calculating real-time heat of a heat source which is connected to a heat distribution pipeline for supplying heat to the closed area and has the same property right;
wherein, P represents the sum of active power generated by all distributed power supply devices in the closed area; p is i The active power generated by the ith distributed power supply device is represented; n is a radical of hydrogen 1 The total number of distributed power supply devices in the closed area; q represents the sum of the heat emitted by all distributed heat source devices within the enclosed area; q i Representing the heat emitted by the ith distributed heat source device; n is a radical of hydrogen 2 The total number of distributed heat source devices within the enclosed area.
Specifically, for each scheduling period, the prepositive data acquisition subsystem calculates various real-time parameters of various distributed source loads in the closed area according to the longitude and latitude coordinates, the distributed source load types and the data types. The method comprises the following steps:
(1) Calculating whether the distributed source load is in the closed area or not according to the longitude and latitude coordinates of the distributed source load;
(2) And accumulating the real-time data of all distributed source loads of the given closed area according to the distributed source load type, the property right and the data type. Such as:
and the preposed data acquisition subsystem in the dispatching master station transmits the calculation result to an electric heating comprehensive optimization dispatching software module of the dispatching master station, generates a dispatching instruction, and issues the dispatching instruction to the intelligent electronic equipment at each distributed source charge position for execution in a remote control and remote regulation mode.
In one embodiment, before S3, the method further comprises: output P in distributed power supply in closed area i ', which is taken as the active power P generated by the distributed power supply device connected to the corresponding distribution line i (ii) a And further obtaining active power generated by all distributed power supply devices in the closed area.
In one embodiment, before S3, the method further comprises: heat output Q in a distributed heat source in an enclosed area i '; using it as heat Q emitted by distributed heat source device connected to corresponding heat supply pipeline i (ii) a And further obtaining the heat emitted by all distributed heat source devices in the closed area.
In one embodiment, the distributed source load types include: the distributed energy storage system comprises a distributed power supply device, a distributed energy storage device and a distributed heat source device; different distributed source payload types are identified with different reference numerals.
Specifically, the distributed source load type refers to: the system comprises various distributed power devices (such as a distributed wind generating set, a distributed photovoltaic generating device, a waste heat generating device, a small CHP set and the like), various distributed energy storage devices (such as a storage battery, a flow battery, a super capacitor, compressed air energy storage, hybrid energy storage and the like), and various distributed heat source devices (such as a small CHP set, an electric heating device, various boilers and the like). The distributed source charge type can be identified by different integers, such as an integer 1 for a distributed wind generating set, an integer 2 for a distributed photovoltaic generating device, \ 8230. Other identification methods may also be employed.
In one embodiment, title ownership refers to ownership units of a distributed source charge, and different ownership units are identified by different numbers or character strings.
Specifically, the title property belongings refer to title property belongings units of distributed source loads, and can be identified by different integers or character strings.
In one embodiment, the data types include: active power emitted by the distributed power supply device, charging and discharging active power of the distributed energy storage device and heat emitted by the distributed heat source device; different data types are identified by different numbers.
Specifically, the data types include: active power emitted by the distributed power supply device, charging and discharging active power of the distributed energy storage device, heat emitted by the distributed heat source device and the like. The data types can be identified by different integers, such as the integer 1 for identifying the active power emitted by the distributed power supply device, the integer 2 for identifying the charging and discharging active power of the distributed energy storage device, \ 8230. Other identification methods may also be employed.
In one embodiment, a given enclosed area may represent the area in any enclosed geometry, with the enclosed area being represented in latitude and longitude coordinates. The enclosed region may theoretically be any region. But for convenience of use, an enclosed area generally refers to a power supply area of 1 or more distribution lines, 1 or more factory or residential areas, 1 or more heating areas, or some combination of the above.
The invention also provides a source load data scheduling system of the electric heating comprehensive energy, which comprises the following components:
the intelligent electronic equipment is arranged at each distributed source load position and used for uploading longitude and latitude coordinates, distributed source load types, property rights belonged, data types and real-time operation data of the distributed source load position;
the scheduling master station is connected with the intelligent electronic equipment and used for judging whether the corresponding distributed source load is in the closed area or not by utilizing the longitude and latitude coordinates of the distributed source load; aiming at all distributed source loads in the closed region, the scheduling master station distinguishes real-time operation data of all distributed source loads in the closed region according to the distributed source load types, property rights and data types, and carries out real-time classification statistical calculation. The real-time classification statistical calculation result is used as real-time operation data of a power supply and a load accessed to a distribution line for supplying power to the closed area, and real-time operation data of a heat source and a heat load accessed to a heat distribution pipeline for supplying heat to the closed area.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. A source load data scheduling method of electric heating comprehensive energy is characterized by comprising the following steps:
s1: uploading longitude and latitude coordinates, distributed source load types, property rights, real-time data types and real-time operation data of distributed source loads by intelligent electronic equipment at each distributed source load;
s2: the dispatching master station judges whether the corresponding distributed source load is in the closed area or not by utilizing the longitude and latitude coordinates of the distributed source load;
s3: aiming at all distributed source loads in the closed area, the scheduling master station distinguishes real-time operation data of all distributed source loads in the closed area according to the distributed source load types, the property rights and the data types, and real-time classified statistical calculation is carried out to obtain real-time operation data of a power supply and a load accessed to a distribution line for supplying power to the closed area and real-time operation data of a heat source and a heat load accessed to a heat pipeline for supplying heat to the closed area;
and in the S3, real-time classified statistical calculation is carried out to obtain real-time operation data of a power supply and a load accessed to a distribution line for supplying power to the closed area and real-time operation data of a heat source and a heat load accessed to a heat pipeline for supplying heat to the closed area, and the method comprises the following steps:
using a formula
Calculating the phase to which the title belongs and accessed to the distribution line supplying power to the closed areaThe same power supply real-time active power;
using formulas
Calculating real-time heat of a heat source which is connected to a heat distribution pipeline for supplying heat to the closed area and has the same property right;
wherein P represents the sum of active power generated by all distributed power supply devices in the closed area; p is i The active power generated by the ith distributed power supply device is represented; n is a radical of 1 The total number of distributed power supply devices in the closed area; q represents the sum of the heat emitted by all distributed heat source devices within the enclosed area; q i Representing the heat emitted by the ith distributed heat source device; n is a radical of 2 The total number of distributed heat source devices within the enclosed area.
2. The method for scheduling source charge data of an electric heating comprehensive energy source according to claim 1, wherein before S3, the method further comprises:
output P in a distributed power supply in an enclosed area i ' which is the active power P generated by the distributed power supply device connected to the corresponding distribution line i (ii) a And further obtaining the total active power sent by all the distributed power supply devices in the closed area.
3. The method for scheduling source load data of electric heat comprehensive energy source according to claim 1, wherein before S3, the method further comprises:
heat output Q in a distributed heat source in an enclosed area i ', as heat Q generated by distributed heat source devices connected to corresponding heat supply pipelines i (ii) a And further obtaining the total heat emitted by all the distributed heat source devices in the closed area.
4. The method of source-to-charge data scheduling of an electric heat complex energy source of claim 1, wherein the distributed source-to-charge type comprises: the distributed energy storage system comprises a distributed power supply device, a distributed energy storage device and a distributed heat source device; different distributed source payload types are identified with different reference numerals.
5. The source charge data scheduling method of electric heating comprehensive energy source of claim 1, wherein the property rights belonged to are property rights belonged units of distributed source charges, and different belonged units are identified by different numbers or character strings.
6. The method for scheduling source load data of electric heating comprehensive energy source according to claim 1, wherein the data types comprise: active power emitted by the distributed power supply device, charging and discharging active power of the distributed energy storage device and heat emitted by the distributed heat source device; different data types are identified by different numbers.
7. A source load data scheduling system of electric heating comprehensive energy is characterized by comprising:
the intelligent electronic equipment is arranged at each distributed source load position and is used for uploading longitude and latitude coordinates, distributed source load types, property rights, real-time data types and real-time operation data of the distributed source load position;
the scheduling master station is connected with the intelligent electronic equipment and used for judging whether the corresponding distributed source load is in the closed area or not by utilizing the longitude and latitude coordinates of the distributed source load; aiming at all distributed source loads in the closed area, the scheduling master station distinguishes real-time operation data of all distributed source loads in the closed area according to the distributed source load types, the property rights and the data types, and real-time classified statistical calculation is carried out to obtain real-time operation data of power supplies and loads accessed to a power distribution line for supplying power to the closed area and real-time operation data of heat sources and heat loads accessed to a heat distribution pipeline for supplying heat to the closed area;
the real-time operation data of the power supply and the load accessed to the distribution line for supplying power to the closed area and the real-time operation data of the heat source and the heat load accessed to the heat distribution pipeline for supplying heat to the closed area are obtained by performing real-time classification statistical calculation, and the method comprises the following steps:
using formulas
Calculating real-time active power of a power supply which is connected to a power distribution line for supplying power to the closed region and has the same property right;
using a formula
Calculating real-time heat of a heat source which is connected to a heat pipeline for supplying heat to the closed area and has the same property right;
wherein P represents the sum of active power generated by all distributed power supply devices in the closed area; p i The active power generated by the ith distributed power supply device is represented; n is a radical of 1 The total number of distributed power supply devices in the closed area; q represents the sum of the heat emitted by all distributed heat source devices within the enclosed area; q i Representing the heat emitted by the ith distributed heat source device; n is a radical of 2 Is the total number of distributed heat source devices in the enclosed area.
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| CN111355230A (en) * | 2018-12-24 | 2020-06-30 | 中国电力科学研究院有限公司 | Optimized scheduling method and system for comprehensive energy system |
| WO2020204262A1 (en) * | 2019-04-05 | 2020-10-08 | 주식회사 아이온커뮤니케이션즈 | Method and server for managing distributed resource utilization, and microgrid power transaction system comprising same |
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