CN108923432B - Power grid gateway power flow control system and method for power utilization enterprise - Google Patents

Power grid gateway power flow control system and method for power utilization enterprise Download PDF

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CN108923432B
CN108923432B CN201810892488.1A CN201810892488A CN108923432B CN 108923432 B CN108923432 B CN 108923432B CN 201810892488 A CN201810892488 A CN 201810892488A CN 108923432 B CN108923432 B CN 108923432B
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power
control system
generator set
value
determining
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CN108923432A (en
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刘广文
刘�东
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Ceristar Electric Co ltd
Capital Engineering & Research Inc Ltd
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Ceristar Electric Co ltd
Capital Engineering & Research Inc 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
    • H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • 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
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • 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
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • 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]
    • 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
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a power grid gateway power flow control system and method for a power consumption enterprise, and relates to the technical field of power control of the power consumption enterprise. The distributed intelligent measurement element respectively collects first active power at a grid merging gateway of a power utilization enterprise power grid and second active power at a generator set outlet; and respectively sent to the central station main processor; the central station main processor determines the total power consumption of each sampling time point according to the first active power and the second active power; carrying out pre-decomposition on the total power consumption into power values with different frequency fluctuations; determining typical historical data of the electric load according to power values fluctuating at different frequencies; and determining a power set value of the generator set according to the power values with different frequency fluctuations and typical power load historical data to serve as a secondary frequency modulation value of the generator set, generating an output quantity, and sending the output quantity to the boiler coordination control system, so that the boiler coordination control system controls the digital electro-hydraulic regulating device of the generator set and the boiler control system to increase or decrease the generating power.

Description

Power grid gateway power flow control system and method for power utilization enterprise
Technical Field
The invention relates to the technical field of power control of power utilization enterprises, in particular to a power grid gateway power flow control system and method for the power utilization enterprises.
Background
At present, a power grid (110kV and 220kV) of a large power consumption enterprise generally takes a central substation as a core, 1-2 loops of power supply lines are connected with a public power grid, each loop of power supply supplies power to a tail-end substation in a radial or looped network mode, and an internal self-contained generator set (or an excess energy generator set) is connected to the grid at the central substation. A typical wiring for the above structure is shown in fig. 1. The area A is a central substation, the area B is an electricity load in a plant, and the area C is a power generation facility. A1 to a4, B1 to B2, and C1 are breakers of the respective circuits. BT1 and BT2 are transformers connected to the internal grid, and CG1 is a genset. A1 is used for connecting with external power grid, and is a grid connection gateway of power utilization enterprises, and C1 is an outlet of the generator set.
In power utilization enterprises, the power generation cost inside a network is lower than the cost for purchasing power from the network, so that the power utilization enterprises generally increase the self-power generation as much as possible under the condition of fuel satisfaction, and the power purchasing from an external power grid is reduced, so that the aim of reducing the production cost is fulfilled. When the generated power of the power utilization enterprise is close to the power utilization power inside the enterprise or the power utilization load fluctuates frequently, part of the generated power is sent back to the external power grid. Such a back-flow is undesirable and not allowed for the power system; meanwhile, for enterprises, the energy loss is also caused, and the working condition should be avoided as much as possible. Therefore, how to perform effective power flow control becomes an urgent problem to be solved.
Disclosure of Invention
The embodiment of the invention provides a power grid gateway power flow control system and method for a power consumption enterprise, so as to realize effective power flow control in a power grid of the power consumption enterprise.
In order to achieve the purpose, the invention adopts the following technical scheme:
a power consumption enterprise power grid gateway power flow control system comprises a central station main processor and distributed intelligent measurement elements which are respectively arranged at a gateway port of a power consumption enterprise power grid and an outlet of a generator set; the central station main processor is connected with the distributed intelligent measuring element through an optical fiber network, and is in communication connection with a boiler coordination control system of the generator set so as to adjust the output of the digital electro-hydraulic adjusting device of the generator set and the boiler control system according to the boiler coordination control system;
the distributed intelligent measurement element is respectively used for acquiring first active power at a grid merging gateway of an electric enterprise and second active power at an outlet of the generator set; respectively sending the first active power and the second active power to a central station main processor;
the central station main processor is used for determining the total power consumption of each sampling time point according to the first active power and the second active power; carrying out pre-decomposition on the total power consumption into power values with different frequency fluctuations; determining typical historical data of the electric load according to power values fluctuating at different frequencies; determining a power set value of the generator set according to the power values with different frequency fluctuations and typical power load historical data to serve as a secondary frequency modulation value of the generator set; and generating output quantity according to the secondary frequency modulation value of the generator set, and sending the output quantity to a machine-furnace coordination control system so that the machine-furnace coordination control system controls the digital electro-hydraulic regulating device of the generator set and the boiler control system to increase or decrease the generating power.
In addition, the central station main processor is specifically configured to:
acquiring the first active power data and the second active power data according to a preset sampling period; the first active power data carries a first active power and a first time stamp; the second active power data is provided with a second active power and a second time mark; the preset sampling period is less than or equal to 1 second;
and overlapping the first active power and the second active power respectively corresponding to the first time mark and the second time mark which are used for representing the same sampling time point, and determining the total power consumption of each sampling time point.
Further, the central station main processor is specifically further configured to:
taking total power consumption with 1 second as power sampling frequency as data basis, taking 10 seconds as sampling window, sliding for 1s every time, calculating the average value of 10 power sampling values in the past every 10 seconds, updating every 1 second, and obtaining the average value P of the power sampling values after updating every time10s；
With P10sOn a data basis, P is extracted every 10 seconds10sUsing 5 minutes as a sampling window, 30P in the past every 5 minutes are obtained10sIs updated every 10 seconds to obtain the updated P10sAverage value P of5min；
With P5minOn a data basis, P was extracted at 5 minute intervals5minThe past 1 hour is obtained by using 1 hour as a sampling window12P in one hour5minIs updated every 5 minutes to obtain P after each update5minAverage value P ofh(ii) a With the PhAs a steady power;
according to said P10sAnd P5minUpdating every 1 second, and determining the frequent fluctuation power P after each updatings(ii) a Wherein, Ps＝P10s-P5min；
According to said PhAnd P5minUpdating every 10 seconds, and determining the infrequent fluctuation power P after each updatingm(ii) a Wherein, Pm＝P5min-Ph；
Wherein, in the case of updating once every 1 second, there is P at any time10s＝Ps+Pm+Ph。
Further, the central station main processor is specifically further configured to:
according to different power load working conditions of power utilization enterprises, the power P is stabilizedhFrequently fluctuating power PsAnd infrequently fluctuating power PmCorresponding to different power load working conditions of a power utilization enterprise, determining typical power load historical data under the different power load working conditions;
according to the stable power P in the historical data of the typical electric loadhDetermining the steady power P in the electrical loadhMinimum value P ofminThe power generation planning value of the generator set under the typical power load working condition is used;
taking preset x hours in typical electric load historical data as a unit, and taking P in x hours as a unitsDividing positive value group and negative value group according to positive and negative values, and taking preset y% probability large value P of negative value group absolute values-y％As the allowed value of the gateway's received power.
Further, the central station main processor is specifically further configured to:
according to the stable power P in the historical data of the typical electric loadhInfrequently fluctuating power PmAnd said Ps-y％Determining a reference set point Pset'; wherein, Pset’＝Ph+Pm-Ps-y％；
At Pset’≥PnOr Pn≤PminWhen P is determinedset＝Pn(ii) a Wherein, PnRated capacity for the generator set; psetIs the power set value of the generator set;
at Pn≥Pset’≥50％PnWhen P is determinedset＝Pset’；
At Pset’≤50％PnWhen P is determinedset＝50％PnAnd sends out alarm signal;
will PsetAnd the secondary frequency modulation value is used as a secondary frequency modulation value of the generator set.
Further, the central station main processor is specifically further configured to:
generating an output quantity according to the secondary frequency modulation value of the generator set after the secondary frequency modulation value passes through the preset slope limit of a given value and is interlocked with the running state of the generator set;
and sending the output quantity to a mechanical furnace coordination control system so that the mechanical furnace coordination control system controls the unit digital electro-hydraulic adjusting device and the boiler control system to increase or decrease the generating power.
A power consumption enterprise power grid gateway power flow control method is applied to a power consumption enterprise power grid gateway power flow control system, and the system comprises a central station main processor and distributed intelligent measurement elements which are respectively arranged at a gateway merging port of a power consumption enterprise power grid and an outlet of a generator set; the central station main processor is connected with the distributed intelligent measuring element through an optical fiber network, and is in communication connection with a boiler coordination control system of the generator set so as to adjust the output of the digital electro-hydraulic adjusting device of the generator set and the boiler control system according to the boiler coordination control system;
the method comprises the following steps:
the distributed intelligent measurement element respectively collects first active power at a grid merging gateway of a power utilization enterprise power grid and second active power at a generator set outlet; respectively sending the first active power and the second active power to a central station main processor;
the central station main processor determines the total power consumption of each sampling time point according to the first active power and the second active power;
carrying out pre-decomposition on the total power consumption into power values with different frequency fluctuations;
determining typical historical data of the electric load according to power values fluctuating at different frequencies;
determining a power set value of the generator set according to the power values with different frequency fluctuations and typical power load historical data to serve as a secondary frequency modulation value of the generator set;
and generating output quantity according to the secondary frequency modulation value of the generator set, and sending the output quantity to a machine-furnace coordination control system so that the machine-furnace coordination control system controls the digital electro-hydraulic regulating device of the generator set and the boiler control system to increase or decrease the generating power.
Specifically, the determining the total power consumption at each sampling time point according to the first active power and the second active power includes:
acquiring the first active power data and the second active power data according to a preset sampling period; the first active power data carries a first active power and a first time stamp; the second active power data is provided with a second active power and a second time mark; the preset sampling period is less than or equal to 1 second;
and overlapping the first active power and the second active power respectively corresponding to the first time mark and the second time mark which are used for representing the same sampling time point, and determining the total power consumption of each sampling time point.
Specifically, the pre-decomposing the total power consumption into power values with different frequency fluctuations includes:
taking the total power consumption with 1 second as the power sampling frequency as the data base, taking 10 seconds as the sampling window, sliding for 1s every time, calculating the average value of 10 power sampling values in the past every 10 seconds, and updating every 1 second to obtain the total power sampling frequencyAverage value P of power sampling values after each update10s；
With P10sOn a data basis, P is extracted every 10 seconds10sUsing 5 minutes as a sampling window, 30P in the past every 5 minutes are obtained10sIs updated every 10 seconds to obtain the updated P10sAverage value P of5min；
With P5minOn a data basis, P was extracted at 5 minute intervals5minUsing 1 hour as sampling window, the past 12P in every 1 hour are obtained5minIs updated every 5 minutes to obtain P after each update5minAverage value P ofh(ii) a With the PhAs a steady power;
according to said P10sAnd P5minUpdating every 1 second, and determining the frequent fluctuation power P after each updatings(ii) a Wherein, Ps＝P10s-P5min；
According to said PhAnd P5minUpdating every 10 seconds, and determining the infrequent fluctuation power P after each updatingm(ii) a Wherein, Pm＝P5min-Ph；
Wherein, in the case of updating once every 1 second, there is P at any time10s＝Ps+Pm+Ph。
Specifically, the determining typical historical data of the electrical load according to the power values fluctuating at different frequencies includes:
according to different power load working conditions of power utilization enterprises, the power P is stabilizedhFrequently fluctuating power PsAnd infrequently fluctuating power PmCorresponding to different power load working conditions of a power utilization enterprise, determining typical power load historical data under the different power load working conditions;
according to the stable power P in the historical data of the typical electric loadhDetermining the steady power P in the electrical loadhMinimum value P ofminThe power generation planning value of the generator set under the typical power load working condition is used;
taking preset x hours in typical electric load historical data as a unit, and taking P in x hours as a unitsDividing positive value group and negative value group according to positive and negative values, and taking preset y% probability large value P of negative value group absolute values-y％As the allowed value of the gateway's received power.
Specifically, the determining a power setting value of the generator set according to the power values with different frequency fluctuations and the typical historical data of the power consumption load as a secondary frequency modulation value of the generator set includes:
according to the stable power P in the historical data of the typical electric loadhInfrequently fluctuating power PmAnd said Ps-y％Determining a reference set point Pset'; wherein, Pset’＝Ph+Pm-Ps-y％；
At Pset’≥PnOr Pn≤PminWhen P is determinedset＝Pn(ii) a Wherein, PnRated capacity for the generator set; psetIs the power set value of the generator set;
at Pn≥Pset’≥50％PnWhen P is determinedset＝Pset’；
At Pset’≤50％PnWhen P is determinedset＝50％PnAnd sends out alarm signal;
will PsetAnd the secondary frequency modulation value is used as a secondary frequency modulation value of the generator set.
Specifically, the generating output quantity according to the secondary frequency modulation value of the generator set is sent to a boiler coordination control system, so that the boiler coordination control system controls the digital electro-hydraulic adjusting device of the generator set and the boiler control system to increase or decrease the generating power, and the method comprises the following steps:
generating an output quantity according to the secondary frequency modulation value of the generator set after the secondary frequency modulation value passes through the preset slope limit of a given value and is interlocked with the running state of the generator set;
and sending the output quantity to a mechanical furnace coordination control system so that the mechanical furnace coordination control system controls the unit digital electro-hydraulic adjusting device and the boiler control system to increase or decrease the generating power.
The embodiment of the invention provides a power consumption enterprise power grid gateway power flow control system and a power consumption enterprise power grid gateway power flow control method, wherein the system comprises a central station main processor and distributed intelligent measurement elements which are respectively arranged at a gateway port of a power consumption enterprise power grid and an outlet of a generator set; the central station main processor is connected with the distributed intelligent measuring element through an optical fiber network, and is in communication connection with a boiler coordination control system of the generator set so as to adjust the output of the digital electro-hydraulic adjusting device of the generator set and the boiler control system according to the boiler coordination control system; the distributed intelligent measuring element can respectively collect first active power at a gateway port of an electric network of an electric enterprise and second active power at an outlet of a generator set, and respectively sends the first active power and the second active power to a main processor of a central station; the central station main processor determines the total power consumption of each sampling time point according to the first active power and the second active power; carrying out pre-decomposition on the total power consumption into power values with different frequency fluctuations; determining typical historical data of the electric load according to power values fluctuating at different frequencies; determining a power set value of the generator set according to the power values with different frequency fluctuations and typical power load historical data to serve as a secondary frequency modulation value of the generator set; and generating output quantity according to the secondary frequency modulation value of the generator set, and sending the output quantity to a machine-furnace coordination control system so that the machine-furnace coordination control system controls the digital electro-hydraulic regulating device of the generator set and the boiler control system to increase or decrease the generating power. Therefore, the entrance power of the gateway is controlled by adopting a secondary frequency modulation mode, and effective power flow control in a power grid of a power consumption enterprise can be realized.
Drawings
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, and 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 these drawings without creative efforts.
Fig. 1 is a schematic diagram of an internal power grid structure of a power consumption enterprise in the prior art;
fig. 2 is a schematic structural diagram of a power grid gateway power flow control system of a power consumption enterprise according to an embodiment of the present invention;
fig. 3 is a first flowchart of a power grid gateway power flow control method for a power consumption enterprise according to an embodiment of the present invention;
fig. 4 is a second flowchart of a power grid gateway power flow control method for a power consumption enterprise according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The power grid gateway tidal current control system of the power utilization enterprise provided by the embodiment of the invention can be applied to an internal power grid of the power utilization enterprise, compared with a generator set of a public power grid, the capacity of a self-contained generator set (or a residual energy generator set) in the enterprise is smaller, the generator set mostly adopts a constant generating power control mode, occasionally participates in primary frequency modulation of a power system, and basically does not undertake secondary and tertiary frequency modulation tasks of the system.
The response lag time of the primary frequency modulation of a general heat energy generating set is less than 3s, the adjustment stabilization time is about 1 minute, and the adjustment range is 6-8% of the rated capacity (Pn) of the generating set. The response lag time of the secondary frequency modulation is about 1-2 minutes, the adjusting time is about 10 minutes, the adjusting range is 50-100% of the rated capacity (Pn) of the unit, and the adjusting speed per minute is 1-2% of the rated capacity (Pn) of the unit.
As shown in fig. 2, an embodiment of the present invention provides a power grid gateway power flow control system 10 for a power consumption enterprise, including a central station main processor 11, and distributed intelligent measurement elements respectively arranged at a grid-connected gateway 21 of the power consumption enterprise power grid and a generator set outlet 22 (a first distributed intelligent measurement element 15 is arranged at the grid-connected gateway 21 of the power consumption enterprise power grid, and a second distributed intelligent measurement element 16 is arranged at the generator set outlet 22); the central station main processor 11 is connected with distributed intelligent measuring elements (i.e. the first distributed intelligent measuring element 15 and the second distributed intelligent measuring element 16) through an optical fiber network 17 (which may adopt an IEC61850 protocol optical fiber network, and the data transmission format thereof may adopt SV or GOOSE format); the central station main processor 11 is also in communication connection with a Boiler-turbine Coordinated Control System (CCS) 12 of the generator set, so as to be able to adjust the output of a Digital electro-Hydraulic Control System (DEH) 13 of the generator set and a Boiler Control System 14 according to the Boiler-turbine Coordinated Control System 12.
The distributed intelligent measurement element is respectively used for collecting a first active power (collected by the first distributed intelligent measurement element 15) at a grid merging gateway of an electric enterprise power grid and a second active power (collected by the second distributed intelligent measurement element 16) at a generator set outlet; and respectively sending the first active power and the second active power to the central station main processor 11. In addition, the distributed intelligent measuring element can also measure the power direction and the circuit breaker position signals of a grid-connected gateway and a generator set outlet of a power enterprise power grid.
The central station main processor 11 is configured to determine a total power consumption at each sampling time point according to the first active power and the second active power; carrying out pre-decomposition on the total power consumption into power values with different frequency fluctuations; determining typical historical data of the electric load according to power values fluctuating at different frequencies; determining a power set value of the generator set according to the power values with different frequency fluctuations and typical power load historical data to serve as a secondary frequency modulation value of the generator set; and generating output quantity according to the secondary frequency modulation value of the generator set, and sending the output quantity to the boiler coordination control system 12, so that the boiler coordination control system 12 controls the digital electro-hydraulic regulating device 13 of the generator set and the boiler control system 14 to increase or decrease the generating power.
In addition, the central station main processor 11 is specifically configured to:
acquiring the first active power data and the second active power data according to a preset sampling period; the first active power data carries a first active power and a first time stamp; the second active power data is provided with a second active power and a second time mark; the preset sampling period is less than or equal to 1 second.
And overlapping the first active power and the second active power respectively corresponding to the first time mark and the second time mark which are used for representing the same sampling time point, and determining the total power consumption of each sampling time point.
Further, the central station main processor 11 is specifically configured to:
taking total power consumption with 1 second as power sampling frequency as data basis, taking 10 seconds as sampling window, sliding for 1s every time, calculating the average value of 10 power sampling values in the past every 10 seconds, updating every 1 second, and obtaining the average value P of the power sampling values after updating every time10s。
With P10sOn a data basis, P is extracted every 10 seconds10sUsing 5 minutes as a sampling window, 30P in the past every 5 minutes are obtained10sIs updated every 10 seconds to obtain the updated P10sAverage value P of5min。
With P5minOn a data basis, P was extracted at 5 minute intervals5minUsing 1 hour as sampling window, the past 12P in every 1 hour are obtained5minIs updated every 5 minutes to obtain P after each update5minAverage value P ofh(ii) a With the PhAs a steady power (i.e., a small-scale power).
According to said P10sAnd P5minUpdating every 1 second, and determining the frequent fluctuation power P after each updatings(i.e., power in seconds); wherein, Ps＝P10s-P5min。
According to said PhAnd P5minUpdating every 10 seconds, and determining the infrequent fluctuation power P after each updatingm(i.e., minute-scale power); wherein, Pm＝P5min-Ph。
Wherein, in the case of updating once every 1 second, there is P at any time10s＝Ps+Pm+Ph。
Further, the central station main processor 11 is specifically configured to:
according to different power load working conditions of power utilization enterprises, the power P is stabilizedhFrequently fluctuating power PsAnd infrequently fluctuating power PmCorresponding to different power load working conditions of a power utilization enterprise, typical power load historical data under the different power load working conditions are determined.
According to the stable power P in the historical data of the typical electric loadhDetermining the steady power P in the electrical loadhMinimum value P ofminAnd the power generation planning value is used as the power generation planning value of the generator set under the typical power load working condition.
Taking preset x hours in typical electric load historical data as a unit, and taking P in x hours as a unitsDividing positive value group and negative value group according to positive and negative values, and taking preset y% probability large value P of negative value group absolute values-y％(positive real numbers) as allowed values of the gateway's incoming power (i.e. adjusting the dead band set point, allowing a small probability of power back-feeding). For example, x may be 8 and y may be 90, but is not limited thereto.
Further, the central station main processor 11 is specifically configured to:
according to the stable power P in the historical data of the typical electric loadhInfrequently fluctuating power PmAnd said Ps-y％Determining a reference set point Pset'; wherein, Pset’＝Ph+Pm-Ps-y％。
At Pset’≥PnOr Pn≤PminWhen P is determinedset＝Pn(ii) a Wherein, PnRated capacity for the generator set; psetIs the power set value of the generator set.
At Pn≥Pset’≥50％PnWhen P is determinedset＝Pset’。
At Pset’≤50％PnWhen P is determinedset＝50％PnAnd sends out alarm signal.
Will PsetAnd the secondary frequency modulation value is used as a secondary frequency modulation value of the generator set.
Further, the central station main processor 11 is specifically configured to:
and generating an output quantity after the secondary frequency modulation value of the generator set passes through the preset slope limit of a given value and is interlocked with the running state of the generator set.
And sending the output quantity to a mechanical furnace coordination control system so that the mechanical furnace coordination control system controls the unit digital electro-hydraulic adjusting device and the boiler control system to increase or decrease the generating power.
The embodiment of the invention provides a power consumption enterprise power grid gateway power flow control system, which comprises a central station main processor and distributed intelligent measurement elements, wherein the distributed intelligent measurement elements are respectively arranged at a gateway port of a power consumption enterprise power grid and an outlet of a generator set; the central station main processor is connected with the distributed intelligent measuring element through an optical fiber network, and is in communication connection with a boiler coordination control system of the generator set so as to adjust the output of the digital electro-hydraulic adjusting device of the generator set and the boiler control system according to the boiler coordination control system; the distributed intelligent measuring element can respectively collect first active power at a gateway port of an electric network of an electric enterprise and second active power at an outlet of a generator set, and respectively sends the first active power and the second active power to a main processor of a central station; the central station main processor determines the total power consumption of each sampling time point according to the first active power and the second active power; carrying out pre-decomposition on the total power consumption into power values with different frequency fluctuations; determining typical historical data of the electric load according to power values fluctuating at different frequencies; determining a power set value of the generator set according to the power values with different frequency fluctuations and typical power load historical data to serve as a secondary frequency modulation value of the generator set; and generating output quantity according to the secondary frequency modulation value of the generator set, and sending the output quantity to a machine-furnace coordination control system so that the machine-furnace coordination control system controls the digital electro-hydraulic regulating device of the generator set and the boiler control system to increase or decrease the generating power. Therefore, the entrance power of the gateway is controlled by adopting a secondary frequency modulation mode, and effective power flow control in a power grid of a power consumption enterprise can be realized.
Corresponding to the power consumption enterprise power grid gateway power flow control system shown in fig. 2, as shown in fig. 3, an embodiment of the present invention further provides a power consumption enterprise power grid gateway power flow control method, which is applied to the power consumption enterprise power grid gateway power flow control system. The method comprises the following steps:
step 201, a distributed intelligent measurement element respectively collects a first active power at a gateway port of an electric power enterprise grid and a second active power at a generator set outlet, and respectively sends the first active power and the second active power to a central station main processor.
Step 202, the central station main processor determines the total power consumption of each sampling time point according to the first active power and the second active power.
And 203, performing pre-decomposition on the total power consumption into power values with different frequency fluctuations.
And step 204, determining typical historical data of the electric load according to the power values fluctuating with different frequencies.
And step 205, determining a power set value of the generator set according to the power values with different frequency fluctuations and the typical power load historical data to serve as a secondary frequency modulation value of the generator set.
And step 206, generating output quantity according to the secondary frequency modulation value of the generator set, and sending the output quantity to a machine-furnace coordination control system so that the machine-furnace coordination control system controls the digital electro-hydraulic adjusting device of the generator set and the boiler control system to increase or decrease the generating power.
According to the gateway power flow control method for the power grid of the power consumption enterprise, which is provided by the embodiment of the invention, the gateway power input can be controlled in a secondary frequency modulation mode, and effective power flow control in the power grid of the power consumption enterprise can be realized, so that the gateway power control effect of generating power as much as possible and transmitting power back to a system less is achieved.
In order to make those skilled in the art better understand the present invention, a more detailed embodiment is listed below, and as shown in fig. 4, an embodiment of the present invention provides a power utility grid gateway power flow control method, including:
step 301, the distributed intelligent measurement element respectively collects a first active power at a gateway port of an electric power enterprise grid and a second active power at a generator set outlet, and respectively sends the first active power and the second active power to a central station main processor.
Step 302, the central station main processor acquires the first active power data and the second active power data according to a preset sampling period; the first active power data carries a first active power and a first time stamp; the second active power data carries a second active power and a second time stamp.
Wherein the preset sampling period is less than or equal to 1 second.
And 303, overlapping the first active power and the second active power respectively corresponding to the first time mark and the second time mark which are used for representing the same sampling time point, and determining the total power consumption of each sampling time point.
And step 304, performing pre-decomposition on the total power consumption into power values with different frequency fluctuations.
This step 304 may be implemented as follows:
taking total power consumption with 1 second as power sampling frequency as data basis, taking 10 seconds as sampling window, sliding for 1s every time, calculating the average value of 10 power sampling values in the past every 10 seconds, updating every 1 second, and obtaining the average value P of the power sampling values after updating every time10s。
With P10sOn a data basis, P is extracted every 10 seconds10sUsing 5 minutes as a sampling window, 30P in the past every 5 minutes are obtained10sIs updated every 10 seconds to obtain the updated P10sAverage value P of5min。
With P5minOn a data basis, P was extracted at 5 minute intervals5minUsing 1 hour as sampling window, the past 12P in every 1 hour are obtained5minIs updated every 5 minutes to obtain P after each update5minAverage value P ofh(ii) a With the PhAs a steady power.
According to said P10sAnd P5minUpdating every 1 second, and determining the frequent fluctuation power P after each updatings(ii) a Wherein, Ps＝P10s-P5min。
According to said PhAnd P5minUpdating every 10 seconds, and determining the infrequent fluctuation power P after each updatingm(ii) a Wherein, Pm＝P5min-Ph。
Wherein, in the case of updating once every 1 second, there is P at any time10s＝Ps+Pm+Ph。
305, stabilizing the power P according to different power load working conditions of power utilization enterpriseshFrequently fluctuating power PsAnd infrequently fluctuating power PmCorresponding to different power load working conditions of a power utilization enterprise, typical power load historical data under the different power load working conditions are determined.
Step 306, according to the stable power P in the typical power load historical datahDetermining the steady power P in the electrical loadhMinimum value P ofminAnd the power generation planning value is used as the power generation planning value of the generator set under the typical power load working condition.
Step 307, taking preset x hours in typical electric load historical data as a unit, and taking P in x hours as a unitsDividing positive value group and negative value group according to positive and negative values, and taking preset y% probability large value P of negative value group absolute values-y％As gateway-poweredThe allowed value.
Step 308, according to the stable power P in the historical data of the typical electric loadhInfrequently fluctuating power PmAnd said Ps-y％Determining a reference set point Pset'; wherein, Pset’＝Ph+Pm-Ps-y％。
Step 309, step 310 or step 311 is performed after step 308.
Step 309, at Pset’≥PnOr Pn≤PminWhen P is determinedset＝Pn(ii) a Wherein, PnRated capacity for the generator set; psetIs the power set value of the generator set.
Step 310, at Pn≥Pset’≥50％PnWhen P is determinedset＝Pset’。
Step 311, at Pset’≤50％PnWhen P is determinedset＝50％PnAnd sends out alarm signal.
After steps 309 to 311, execution continues with step 312.
Step 312, PsetAnd the secondary frequency modulation value is used as a secondary frequency modulation value of the generator set.
And 313, generating an output quantity after the secondary frequency modulation value of the generator set passes through preset slope limitation of a given value and is interlocked with the running state of the generator set.
And step 314, sending the output quantity to a mechanical furnace coordination control system so that the mechanical furnace coordination control system controls the unit digital electro-hydraulic adjusting device and the boiler control system to increase or decrease the generating power.
According to the gateway power flow control method for the power grid of the power consumption enterprise, which is provided by the embodiment of the invention, the gateway power input can be controlled in a secondary frequency modulation mode, and effective power flow control in the power grid of the power consumption enterprise can be realized, so that the gateway power control effect of generating power as much as possible and transmitting power back to the system less is achieved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (12)

1. A power grid gateway power flow control system of a power utilization enterprise is characterized by comprising a central station main processor and distributed intelligent measuring elements, wherein the distributed intelligent measuring elements are respectively arranged at a gateway port of a power utilization enterprise power grid and an outlet of a generator set; the central station main processor is connected with the distributed intelligent measuring element through an optical fiber network, and is in communication connection with a boiler coordination control system of the generator set so as to adjust the output of the digital electro-hydraulic adjusting device of the generator set and the boiler control system according to the boiler coordination control system;
the distributed intelligent measurement element is respectively used for acquiring first active power at a grid merging gateway of an electric enterprise and second active power at an outlet of the generator set; respectively sending the first active power and the second active power to a central station main processor;
the central station main processor is used for determining the total power consumption of each sampling time point according to the first active power and the second active power; carrying out pre-decomposition on the total power consumption into power values with different frequency fluctuations; determining typical historical data of the electric load according to power values fluctuating at different frequencies; determining a power set value of the generator set according to the power values with different frequency fluctuations and typical power load historical data to serve as a secondary frequency modulation value of the generator set; and generating output quantity according to the secondary frequency modulation value of the generator set, and sending the output quantity to a machine-furnace coordination control system so that the machine-furnace coordination control system controls the digital electro-hydraulic regulating device of the generator set and the boiler control system to increase or decrease the generating power.
2. The power utility enterprise grid gateway power flow control system of claim 1, wherein the central station primary processor is specifically configured to:
acquiring the first active power data and the second active power data according to a preset sampling period; the first active power data carries a first active power and a first time stamp; the second active power data is provided with a second active power and a second time mark; the preset sampling period is less than or equal to 1 second;
and overlapping the first active power and the second active power respectively corresponding to the first time mark and the second time mark which are used for representing the same sampling time point, and determining the total power consumption of each sampling time point.
3. The power utility enterprise grid gateway power flow control system of claim 2, wherein the central station primary processor is further configured to:
taking total power consumption with 1 second as power sampling frequency as data basis, taking 10 seconds as sampling window, sliding for 1 second each time, calculating the average value of 10 power sampling values in the past 10 seconds, updating every 1 second, and obtaining the average value P of the power sampling values after updating every time10s；
With P10sOn a data basis, P is extracted every 10 seconds10sUsing 5 minutes as a sampling window, 30P in the past every 5 minutes are obtained10sIs updated every 10 seconds to obtain the updated P10sAverage value P of5min；
With P5minOn a data basis, P was extracted at 5 minute intervals5minUsing 1 hour as sampling window, the past 12P in every 1 hour are obtained5minIs updated every 5 minutes to obtain P after each update5minAverage value P ofh(ii) a With the PhAs a steady power;
according to said P10sAnd P5minUpdating every 1 second, and determining the frequent fluctuation power P after each updatings(ii) a Wherein, Ps＝P10s-P5min；
According to said PhAnd P5minUpdating every 10 seconds, and determining the infrequent fluctuation power P after each updatingm(ii) a Wherein, Pm＝P5min-Ph；
Wherein, in the case of updating once every 1 second, there is P at any time10s＝Ps+Pm+Ph。
4. The power utility enterprise grid gateway power flow control system of claim 3, wherein the central station primary processor is further configured to:
according to different power load working conditions of power utilization enterprises, the power P is stabilizedhFrequently fluctuating power PsAnd infrequently fluctuating power PmCorresponding to different power load working conditions of a power utilization enterprise, determining typical power load historical data under the different power load working conditions;
according to the stable power P in the historical data of the typical electric loadhDetermining the steady power P in the electrical loadhMinimum value P ofminThe power generation planning value of the generator set under the typical power load working condition is used;
taking preset x hours in typical electric load historical data as a unit, and taking P in x hours as a unitsDividing positive value group and negative value group according to positive and negative values, and taking preset y% probability large value P of negative value group absolute values-y％As the allowed value of the gateway's received power.
5. The power utility enterprise grid gateway power flow control system of claim 4, wherein the central station primary processor is further configured to:
according to the stable power P in the historical data of the typical electric loadhInfrequently fluctuating power PmAnd said Ps-y％Determining a reference set point Pset'; wherein, Pset’＝Ph+Pm-Ps-y％；
At Pset’≥PnOr Pn≤PminWhen P is determinedset＝Pn(ii) a Wherein, PnRated capacity for the generator set; psetIs the power set value of the generator set;
at Pn＞Pset’＞50％PnWhen P is determinedset＝Pset’；
At Pset’≤50％PnWhen P is determinedset＝50％PnAnd sends out alarm signal;
will PsetAnd the secondary frequency modulation value is used as a secondary frequency modulation value of the generator set.
6. The power utility enterprise grid gateway power flow control system of claim 5, wherein the central station primary processor is further configured to:
generating an output quantity according to the secondary frequency modulation value of the generator set after the secondary frequency modulation value passes through the preset slope limit of a given value and is interlocked with the running state of the generator set;
and sending the output quantity to a mechanical furnace coordination control system so that the mechanical furnace coordination control system controls the unit digital electro-hydraulic adjusting device and the boiler control system to increase or decrease the generating power.
7. A power consumption enterprise power grid gateway power flow control method is characterized by being applied to a power consumption enterprise power grid gateway power flow control system which comprises a central station main processor and distributed intelligent measurement elements which are respectively arranged at a gateway port of a power consumption enterprise power grid and an outlet of a generator set; the central station main processor is connected with the distributed intelligent measuring element through an optical fiber network, and is in communication connection with a boiler coordination control system of the generator set so as to adjust the output of the digital electro-hydraulic adjusting device of the generator set and the boiler control system according to the boiler coordination control system;
the method comprises the following steps:
the distributed intelligent measurement element respectively collects first active power at a grid merging gateway of a power utilization enterprise power grid and second active power at a generator set outlet; respectively sending the first active power and the second active power to a central station main processor;
the central station main processor determines the total power consumption of each sampling time point according to the first active power and the second active power;
carrying out pre-decomposition on the total power consumption into power values with different frequency fluctuations;
determining typical historical data of the electric load according to power values fluctuating at different frequencies;
determining a power set value of the generator set according to the power values with different frequency fluctuations and typical power load historical data to serve as a secondary frequency modulation value of the generator set;
and generating output quantity according to the secondary frequency modulation value of the generator set, and sending the output quantity to a machine-furnace coordination control system so that the machine-furnace coordination control system controls the digital electro-hydraulic regulating device of the generator set and the boiler control system to increase or decrease the generating power.
8. The power utility enterprise grid gateway power flow control method of claim 7, wherein the determining the total power utility at each sampling time point according to the first active power and the second active power comprises:
acquiring the first active power data and the second active power data according to a preset sampling period; the first active power data carries a first active power and a first time stamp; the second active power data is provided with a second active power and a second time mark; the preset sampling period is less than or equal to 1 second;
and overlapping the first active power and the second active power respectively corresponding to the first time mark and the second time mark which are used for representing the same sampling time point, and determining the total power consumption of each sampling time point.
9. The utility grid gateway power flow control method according to claim 8, wherein the pre-decomposing the total utility power into power values with different frequency fluctuations comprises:
taking total power consumption with 1 second as power sampling frequency as data basis, taking 10 seconds as sampling window, sliding for 1 second each time, calculating the average value of 10 power sampling values in the past 10 seconds, updating every 1 second, and obtaining the average value P of the power sampling values after updating every time10s；
With P10sOn a data basis, P is extracted every 10 seconds10sUsing 5 minutes as a sampling window, 30P in the past every 5 minutes are obtained10sIs updated every 10 seconds to obtain the updated P10sAverage value P of5min；
With P5minOn a data basis, P was extracted at 5 minute intervals5minUsing 1 hour as sampling window, the past 12P in every 1 hour are obtained5minIs updated every 5 minutes to obtain P after each update5minAverage value P ofh(ii) a With the PhAs a steady power;
according to said P10sAnd P5minUpdating every 1 second, and determining the frequent fluctuation power P after each updatings(ii) a Wherein, Ps＝P10s-P5min；
According to said PhAnd P5minUpdating every 10 seconds, and determining the infrequent fluctuation power P after each updatingm(ii) a Wherein, Pm＝P5min-Ph；
Wherein, in the case of updating once every 1 second, there is P at any time10s＝Ps+Pm+Ph。
10. The utility grid gateway power flow control method of claim 9, wherein the determining typical historical data of the electric load according to the power values fluctuating with different frequencies comprises:
according to different power load working conditions of power utilization enterprises, the power P is stabilizedhFrequently fluctuating power PsAnd infrequently fluctuating power PmAnd power utilization enterpriseCorresponding to different power load working conditions, and determining typical power load historical data under different power load working conditions;
according to the stable power P in the historical data of the typical electric loadhDetermining the steady power P in the electrical loadhMinimum value P ofminThe power generation planning value of the generator set under the typical power load working condition is used;
taking preset x hours in typical electric load historical data as a unit, and taking P in x hours as a unitsDividing positive value group and negative value group according to positive and negative values, and taking preset y% probability large value P of negative value group absolute values-y％As the allowed value of the gateway's received power.
11. The utility grid gateway power flow control method according to claim 10, wherein the determining a power set value of the generator set as a generator set secondary frequency modulation value according to the power values with different frequency fluctuations and typical power load historical data comprises:
according to the stable power P in the historical data of the typical electric loadhInfrequently fluctuating power PmAnd said Ps-y％Determining a reference set point Pset'; wherein, Pset’＝Ph+Pm-Ps-y％；
At Pset’≥PnOr Pn≤PminWhen P is determinedset＝Pn(ii) a Wherein, PnRated capacity for the generator set; psetIs the power set value of the generator set;
at Pn＞Pset’＞50％PnWhen P is determinedset＝Pset’；
At Pset’≤50％PnWhen P is determinedset＝50％PnAnd sends out alarm signal;
will PsetAnd the secondary frequency modulation value is used as a secondary frequency modulation value of the generator set.
12. The power utility enterprise grid gateway power flow control method according to claim 11, wherein the generating output quantity according to the secondary frequency modulation value of the generator set and sending the output quantity to a boiler coordination control system so that the boiler coordination control system controls the digital electro-hydraulic regulating device of the generator set and a boiler control system to increase or decrease the power generation power comprises:
generating an output quantity according to the secondary frequency modulation value of the generator set after the secondary frequency modulation value passes through the preset slope limit of a given value and is interlocked with the running state of the generator set;
and sending the output quantity to a mechanical furnace coordination control system so that the mechanical furnace coordination control system controls the unit digital electro-hydraulic adjusting device and the boiler control system to increase or decrease the generating power.
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