CN108110805B - System and method for controlling new energy power system to operate in abnormal regulation and control domain - Google Patents

System and method for controlling new energy power system to operate in abnormal regulation and control domain Download PDF

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CN108110805B
CN108110805B CN201810076521.3A CN201810076521A CN108110805B CN 108110805 B CN108110805 B CN 108110805B CN 201810076521 A CN201810076521 A CN 201810076521A CN 108110805 B CN108110805 B CN 108110805B
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power
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heat storage
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CN108110805A (en
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葛维春
赵阳
李家珏
高凯
王顺江
张铁岩
杨俊友
张涛
葛延峰
苏安龙
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State Grid Corp of China SGCC
Shenyang University of Technology
State Grid Liaoning Electric Power Co Ltd
Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd
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State Grid Corp of China SGCC
Shenyang University of Technology
State Grid Liaoning Electric Power Co Ltd
Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—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
    • 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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • 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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin

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  • Power Engineering (AREA)
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Abstract

The invention discloses a system and a method for controlling a new energy power system to operate in an abnormal regulation and control domain, belongs to the technical field of renewable energy power generation and new energy power grids, and mainly relates to a control method for approximately meeting a power difference delta P within time delta t. The main control process comprises the following steps: the time Δ t is divided equally into 3 time regions, denoted Δ t 1 、Δt 2 、Δt 3 And (4) carrying out control algorithm research on each time region to obtain the output level of deep adjustment or energy storage in each time period. According to the index, the optimal control of the generator set can be quantized, the influence of the uncertainty of the new energy output on the power and frequency regulation process of the power grid is reduced, the function of the generator set is fully played, and the power grid is stable.

Description

System and method for controlling new energy power system to operate in abnormal regulation and control domain
Technical Field
The invention belongs to the technical field of renewable energy power generation and new energy power grids, and particularly relates to a system and a method for controlling a new energy power system to operate in an abnormal regulation and control domain.
Technical Field
Due to the diversification of renewable energy power generation and new energy forms and the rapid trend of large-scale access to the power grid, the access of multiple energy forms brings huge challenges to the traditional control strategy of the power grid. The uncertainty of new energy power generation requires different control strategies to be adopted when the power grid is in different operation modes
Aiming at the frequency and the power difference in the power grid, the existing control method and algorithm mainly adopt PID control or fuzzy algorithm and the like, and under the power reduction and frequency regulation targets specified by a dispatching system, the aim of maintaining the balance of the power and the frequency of the system is achieved by controlling the total output of deep peak regulation or energy storage in a specified time. However, when the fluctuation of the generated output force of the new energy in the system is uncertain, the traditional control algorithm is difficult to realize rapidly and accurately, and the power balance is realized by a small oscillation amplitude.
The invention content is as follows:
according to the characteristic that when the power grid operates in an abnormal regulation and control domain, the total load demand is smaller than more than 50% of the maximum total output of all the hydroelectric and electric generating sets in the power grid, the deep wind-jumping and energy-storage total output regulation performance is optimized, and the influence of the uncertainty of the output of new energy on the power and frequency regulation process of the power grid is reduced.
In order to achieve the above object, the present invention provides a system for controlling a new energy power system to operate in an abnormal regulatory domain, the system comprising: the device comprises a data acquisition module, a data processing module and a data display module. The data processing module processes the data after the data acquisition module selects and acquires the data, and the data processed by the data processing module is displayed by the data display module.
Wherein, the data that the data acquisition module gathered include: frequency delta f of deep peak shaving unit 2 Torque variable delta K of peak shaving unit rotating shaft and temperature change delta T of heat storage 1 Data for three variables.
The data processing module comprises two parts, the first part is analyzed and calculated by a corresponding formula in the data processing module through the data acquired by the data acquisition module to obtain a feedback coefficient alpha, and the coefficient participates in the calculation of the second part; the second part calculates the output level of deep peak shaving and energy storage in each time period.
And the data display module is used for displaying the data calculated by the data processing module.
In order to achieve the above object, the present invention further provides a method for controlling a new energy power system to operate in an abnormal regulatory domain, the method comprising the steps of:
step 1: the acquisition module acquires data
Selecting parameters: frequency delta f to depth peak shaving unit 2 Torque variable delta K of the peak shaving unit rotating shaft and temperature change delta T of heat storage 1 The detection is performed, and these factors are used as the detection amount.
Step 2: the data processing module performs data calculation
Step 2.1: the first part of the data processing module processes the frequency variable Δ f 2 Torque variable Δ K, heat-storage temperature change Δ T 1 Inputting the data processing module, and calculating through a function in the module, wherein the feedback coefficient alpha is calculated according to the formula:
Figure BDA0001559732990000031
wherein p is g Capacity for deep peaking, P d Is the capacity of the heat storage device.
The feedback coefficient alpha participates in the algorithm research of each time region of the second part, so that the influence of the uncertainty of the new energy output on the power grid power and frequency regulation process can be effectively reduced.
Step 2.2: the second part of the data processing module can be divided into independent operation of the peak shaving unit, simultaneous operation of the peak shaving unit and the heat storage unit and independent operation of the heat storage unit according to the operation conditions of the peak shaving unit and the heat storage unit, so that the time delta t can be averagely divided into 3 time regions which are recorded as delta t 1 、Δt 2 、Δt 3 And (4) carrying out control algorithm research on each time region to obtain the output level of deep peak shaving or energy storage in each time period.
Step 2.2.1: at a time interval Δ t 1 In the initial stage of the starting control, the depth peak shaving unit has stronger peak shaving capacity than the heat storage device, and the required peak shaving depth is high for the starting stage, so that the total output level is reduced by only considering the deep shaving in the stage, and the following formula is adopted:
Figure BDA0001559732990000032
wherein, P 1 When the time is t, the power generation power of each conventional unit in the abnormal control domain; p 2 The electric load quantity at the same time point; then Δ P ═ P 2 -P 1 (ii) a f is the frequency when the power grid is stable; f. of 1 Frequency of the grid at time t, P max 、P min The predicted daily load power utilization maximum and minimum power are shown.
Step 2.2.2: at a time interval Δ t 2 And if the time is in the middle stage of control, and the deep peak regulation can not meet the requirement, the heat storage device is continuously added for peak regulation. In this stage, the power output is simultaneously obtained by adopting deep mixing and heat storage, and the power output is obtained by adopting the following formula:
restraint of interaction between deep peak shaving and heat storage simultaneous output
Figure BDA0001559732990000041
The above formula is to convert the applicability of x to the continuously changing dynamic environment into a robust constraint in a fixed period, wherein the standard deviation of the current fitness function of the solution x and the fitness value of t-1 adjacent environmental moments in the future is less than the maximum value of the power prediction error.
When both are simultaneously applied, the magnitude of the applied force is expressed as
Figure BDA0001559732990000042
Where f (x) is the original objective function of the problem to be solved and can be expressed as
Figure BDA0001559732990000043
The system comprises an electric boiler, an electric boiler heat storage efficiency eta, an electric boiler electric heat conversion efficiency beta, a temperature T of an environment where an electric heat storage system is located, the number N of the electric boilers, and the output power P of the electric boilers c 。
Step 2.2.3: at a time interval Δ t 3 In the end stage of the control, the output level of the stage basically meets the requirement, and only small-range fine adjustment is needed, so that the heat storage output is only considered in the stage, and the output can adopt the following formula:
in the heat storage process, the temperature of water rises, the main factor influencing the temperature rise is a heat exchange coefficient, and the heat exchange coefficient a can be represented by the following formula:
Figure BDA0001559732990000044
then, the time period Δ t 3 The magnitude of the heat storage capacity can be expressed as
Figure BDA0001559732990000051
Wherein, T 1 Indicating the temperature of the heat storage unit at time t, Δ W max To power preThe maximum value of the error is measured.
And step 3: the data display module displays the calculation result, and the time delta t is delta t 1 、Δt 2 、Δt 3 The output level corresponding to each time period is
Figure BDA0001559732990000052
And
Figure BDA0001559732990000053
and 4, step 4: the output levels of the deep peak shaving unit and the heat storage device can be reflected more visually according to the obtained data, and digital control management in the abnormal control domain is realized. At the lapse of time period deltat 1 、Δt 2 、Δt 3 The final power difference delta P is reduced to the lowest extent through respective regulation and control, and the influence of the uncertainty of the output of new energy on the power grid power and frequency regulation process can be reduced.
Has the advantages that:
the invention relates to a control method which approximately meets the power difference delta P mainly in the time delta t. The main control process comprises the following steps: the time Δ t is divided equally into 3 time regions, denoted Δ t 1 、Δt 2 、Δt 3 And (4) carrying out control algorithm research on each time region to obtain the output level of deep adjustment or energy storage in each time period. According to the index, the optimal control of the generator set can be quantized, the influence of the uncertainty of the new energy output on the power and frequency regulation process of the power grid is reduced, the function of the generator set is fully played, and the power grid is stable.
Description of the drawings: FIG. 1 flow chart of the operation of the system of the present invention
The specific implementation method comprises the following steps:
in a power plant in a certain area, the power load level is divided into abnormal control domains, the rated power output by a single generator is 2.0MW, the frequency of a power grid is 50HZ, the temperature is 40 ℃, and the deep peak regulation capacity p is g 600MW, capacity P of the heat storage unit d At 65kW, 20s was required to reach the standard level. At a certain moment, the frequency variable of the deep peak shaving unit is 0.2HZ, and the power prediction error is 01MW, the torque variation of the crankshaft was 200 N.m, the temperature rose to 44 ℃.
From the above equation:
1. the feedback coefficient α is calculated as:
Figure BDA0001559732990000061
from the subject, p g ＝600MW，P d ＝65kW，Δf 2 ＝0.2HZ，ΔT 1 ＝4℃，ΔK＝200N·m，Δt 1 ＝Δt 2 ＝Δt 3 And 6.67, and the known conditions are substituted into the above formula to calculate that α is 0.75.
Time period deltat 1 The internal calculation formula is
Figure BDA0001559732990000062
The data from this location show that Δ P is 0.1MW, P 1 2.0MW, daily predicted load power consumption maximum power P max 800MW daily forecast load power minimum power P min ＝200MW，f＝50HZ，f 1 ＝50.2HZ
Is calculated to
Figure BDA0001559732990000063
The process of the deep peak shaving unit at the stage is 400 MW.
At a time interval Δ t 2 Inner part
Because the heat storage efficiency eta of the electric boiler is 80 percent, the electric heat conversion efficiency beta of the electric boiler is 90 percent, the temperature T of the environment where the electric heat storage system is positioned is 40 ℃, the number N of the electric boilers is 20, and the output power P of the electric boilers c 70kW, the data above are substituted into the following formula,
Figure BDA0001559732990000071
Figure BDA0001559732990000072
is calculated to
Figure BDA0001559732990000073
Therefore, the output of the deep peak shaving unit is 320MW in the period, and the output of the heat storage device is 150 MW.
Time period deltat 3 Inner part
From the above, it can be seen that the feedback coefficient α is 0.75, and the temperature T of the heat storage device at a certain time 1 Maximum value of power prediction error Δ W at 90 ℃ max ＝0.45MW。
Figure BDA0001559732990000074
Calculated to obtain
Figure BDA0001559732990000075
The heat storage device output is 65MW during this period.
The output levels of the deep peak shaving unit and the heat storage device can be reflected more visually according to the obtained data, and digital control management in the abnormal control domain is realized. At the lapse of time period deltat 1 、Δt 2 、Δt 3 The final power difference delta P is reduced to the lowest extent through respective regulation and control, and the influence of the uncertainty of the output of new energy on the power grid power and frequency regulation process can be reduced.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions and scope of the present invention as defined in the appended claims.

Claims (1)

1. Control new forms of energy electric power system is in unusual regulatory domain operationThe system of (a), characterized in that the system comprises: the device comprises a data acquisition module, a data processing module and a data display module; the data processing module processes the data after the data acquisition module selects and acquires the data, and the data processed by the data processing module is displayed by the data display module; wherein, the data that the data acquisition module gathered include: frequency delta f of deep peak shaving unit 2 Torque variable delta K of peak shaving unit rotating shaft and temperature change delta T of heat storage 1 Data for three variables; the data processing module comprises two parts, the first part is analyzed and calculated by a corresponding formula in the data processing module through the data acquired by the data acquisition module to obtain a feedback coefficient alpha, and the coefficient participates in the calculation of the second part; the second part calculates the output level of deep peak shaving and energy storage in each time period; the data display module is used for displaying the data calculated by the data processing module;
the method for controlling the new energy power system to operate in the abnormal regulation and control domain comprises the following steps that 1, an acquisition module acquires data, and the acquired data comprise the frequency delta f of a deep peak shaving unit 2 Torque variable delta K of peak shaving unit rotating shaft and temperature change delta T of heat storage 1 Data for three variables; step 2, the data processing module performs data calculation, including the calculation of a first part of feedback coefficients alpha and the calculation of a second part of output level in each time period; step 3, the data display module displays the calculation result, and the time delta t is delta t 1 、Δt 2 、Δt 3 The output level corresponding to each time period is
Figure FDA0003690839560000011
And
Figure FDA0003690839560000012
and 4, step 4: according to the obtained data, the optimal control of the generator set can be quantized, and the influence of the uncertainty of the output of the new energy on the power grid power and frequency regulation process is reduced;
said step 2 comprises a step 2.1 of the first part of the data processing module processing the frequency variable Δ f 2 Torque variable Δ K, temperature of heat storageVariation Δ T 1 And calculating by a function in the module to obtain a feedback coefficient alpha:
Figure FDA0003690839560000013
wherein p is g Capacity for deep peaking, P d Is the capacity of the heat storage device;
the feedback coefficient alpha participates in the algorithm research of each time region of the second part, so that the influence of the uncertainty of the output of the new energy on the power grid power and frequency regulation process can be effectively reduced;
the step 2 comprises a second part of a data processing module in the step 2.2, and the data processing module is divided into a mode that the peak shaving unit operates independently, a mode that the peak shaving unit operates simultaneously with the heat storage and a mode that the heat storage operates independently according to the operation conditions of the peak shaving unit and the heat storage, and the time delta t is divided into 3 time regions on average and recorded as delta t 1 、Δt 2 、Δt 3 Carrying out control algorithm research on each time region to obtain the output level of deep peak shaving or energy storage in each time period;
the step 2.2 comprises a step 2.2.1: at a time interval Δ t 1 The magnitude of the output force adopts the following formula:
Figure FDA0003690839560000021
wherein, when P1 is time t, the power generation power of each conventional unit in the abnormal control domain; p2 is the electricity load at the same time point; then Δ P ═ P2-P1; f is the frequency when the power grid is stable; f1 is the frequency of the grid at time t, P max 、P min The maximum power and the minimum power of the daily predicted load electricity are represented;
step 2.2.2: at a time interval Δ t 2 In the process, the magnitude of the output force adopts the constraint of mutual influence between the output force while the depth peak regulation and the heat storage are carried out;
when the two are simultaneously applied, the magnitude of the applied force is expressed as
Figure FDA0003690839560000022
Where f (x) is the original objective function of the problem to be solved and can be expressed as
Figure FDA0003690839560000023
The system comprises an electric boiler, a heat storage system, an electric boiler, a heat pump, a;
step 2.2.3: at a time interval Δ t 3 In the heat storage process, the temperature of water rises, the main factor influencing the temperature rise is the heat exchange coefficient, and the heat exchange coefficient a can be expressed by the following formula:
Figure FDA0003690839560000031
then, the time period Δ t 3 The magnitude of the heat storage capacity can be expressed as
Figure FDA0003690839560000032
Wherein, T 1 Indicating the temperature of the heat storage unit at time t, Δ W max The maximum value of the power prediction error.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102368620A (en) * 2011-10-28 2012-03-07 浙江大学 Wind-energy/ solar-energy/ storage/ ocean-current-energy new-energy isolated network stabilization operation integration control system and method thereof
CN103050989A (en) * 2012-10-11 2013-04-17 中国电力科学研究院 Active power intelligent control system and method for cluster wind farm
CN204030630U (en) * 2014-08-29 2014-12-17 深圳市汇川技术股份有限公司 A kind of mixed type micro-grid system

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9312698B2 (en) * 2012-12-19 2016-04-12 Robert Bosch Gmbh System and method for energy distribution

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102368620A (en) * 2011-10-28 2012-03-07 浙江大学 Wind-energy/ solar-energy/ storage/ ocean-current-energy new-energy isolated network stabilization operation integration control system and method thereof
CN103050989A (en) * 2012-10-11 2013-04-17 中国电力科学研究院 Active power intelligent control system and method for cluster wind farm
CN204030630U (en) * 2014-08-29 2014-12-17 深圳市汇川技术股份有限公司 A kind of mixed type micro-grid system

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