CN107846044B - Multi-source coordination scheduling method for improving power grid regulation abundance - Google Patents

Multi-source coordination scheduling method for improving power grid regulation abundance Download PDF

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CN107846044B
CN107846044B CN201711011551.8A CN201711011551A CN107846044B CN 107846044 B CN107846044 B CN 107846044B CN 201711011551 A CN201711011551 A CN 201711011551A CN 107846044 B CN107846044 B CN 107846044B
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葛维春
李家珏
邵宝珠
谭洪恩
沈力
苏安龙
高凯
葛延峰
王顺江
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State Grid Corp of China SGCC
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 Liaoning Electric Power Co Ltd
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Abstract

The invention relates to the field of operation and control of power systems, in particular to a multi-source coordination scheduling method for improving the adjustment margin of a power grid. Aiming at the blank problem of the current coordination scheduling technology of multiple resources of high-capacity heat storage, electricity storage, thermal power deep peak regulation, wind abandonment and nuclear power peak regulation, the invention provides a multi-source coordination scheduling method for improving the adjustment abundance of a power grid.

Description

Multi-source coordination scheduling method for improving power grid regulation abundance
Technical Field
The invention relates to the field of operation and control of power systems, in particular to a multi-source coordination scheduling method for improving power grid regulation abundance.
Background
After large-scale wind power integration, the problem of power grid consumption becomes a main contradiction, however, the core bottleneck of the consumption technology is that the power supply regulation of the system is insufficient, so that the peak regulation of the power grid is difficult. In order to consume new energy in a larger proportion, the generator set operates in a limit margin interval during a load peak-valley period, so that the overall regulating capacity of the system is seriously insufficient, and the safety stability threat caused by large disturbance is not defended sufficiently. Therefore, improving the power grid regulation abundance becomes the primary solution in a large-scale new energy grid-connected environment.
Due to the intermittent and reverse peak regulation characteristics of wind power, the peak regulation and frequency modulation difficulty of the system is increased in the peak or valley period of the load, and the serious shortage of the regulation capacity of an Automatic Generation Control (AGC) unit is obviously reflected. Therefore, resources that are adjustable within the system are important.
Compared with the prior art, corresponding research contents have appeared in the aspects of system abundance regulation and control under large-scale wind power access at home and abroad. The comparison document 1, "acceptable wind power capacity evaluation of power system satisfying the margin indexes" considers 4 margin indexes of the insufficient peak regulation probability, the insufficient peak regulation expectation, the insufficient power generation probability and the insufficient power generation expectation to quantify the influence degree of the wind power access capacity on the system margin, and accordingly guides the wind power acceptance capacity evaluation. The research result is that a peak regulation abundance index is established from the perspective of planning and evaluation, and the wind power receiving capacity is improved by optimizing the configuration of abundance resources. The invention establishes five abundant regulation resource coordination control methods of thermal power deep peak regulation, high-capacity heat storage, electricity storage, wind abandonment and nuclear power peak regulation from the perspective of real-time power grid dispatching, and the method can ensure that the abundant peak regulation of the power grid reaches the optimal realization process. In a comparison document 2, "wind power grid-connected power system abundance decision model and method research", flexible abundance resources in the links of power generation, power transmission and distribution, power utilization and the like of a power system are defined and identified from the perspective of resource invocation flexibility in a large-scale wind power centralized access mode, and an idea of coordinating the flexible abundance resources to promote wind power consumption is provided. On the basis, a wind power absorption capacity analysis model comprehensively considering various constraints such as thermal power, hydroelectric power and wind power generation technical characteristics, power and thermal load balance, transmission capacity and the like is established, system adjustment is guided, and improvement of system abundance is achieved. Compared with the technology, the invention has the core innovation points that the scheduling time sequence of clean energy and large-capacity heat storage and power storage is optimized and arranged, the multi-stage control criterion is defined, the scheduling decision quantity can be automatically calculated in real time according to abundant requirements of the system, five adjusting resources including thermal power deep peak regulation, large-capacity heat storage, power storage, wind abandonment and nuclear power peak regulation are firstly oriented, the provided power grid real-time optimization regulation and control strategy can really guide the actual operation of the power grid under the condition of large-scale wind power access.
At present, aiming at the problem of coordination scheduling for improving the peak regulation abundance, the prior art comprises thermal power deep peak regulation, nuclear power unit peak regulation, pumped storage, energy storage, cross-regional elimination of a connecting line, wind abandonment and the like. Each independent technology is under development. However, for the purpose of consuming clean energy, five high-capacity heat storage, electricity storage, thermal power deep peak regulation, wind abandonment and nuclear power peak regulation resources are considered at the same time, a multi-source coordination framework of a thermal storage wind core is reasonably distributed, and the mutual coordination operation mode is optimized, which still falls into the technical blank. The invention provides a multi-source coordination scheduling method for improving the adjustment margin of a power grid, aiming at carrying out coordination scheduling on the input time sequence, the capacity value and the optimal operation mode of various resources, and solves the problem of coordination scheduling of the high-capacity heat storage fire wind core species resources.
Disclosure of Invention
The invention aims at consuming clean energy, and aims at solving the blank technical problem of the coordination scheduling of various resources of current high-capacity heat storage, electricity storage, thermal power deep peak shaving, wind abandonment and nuclear power peak shaving.
In order to achieve the purpose, the invention provides the following technical scheme that five resources, namely thermal power deep peak regulation, high-capacity heat storage, electricity storage, wind abandonment and nuclear power peak regulation, are reasonably coordinated and controlled, a thermal storage wind and nuclear power unified power control setting model is comprehensively provided according to the thermal power regulation capacity, the heat storage regulation capacity, the electricity storage regulation flexibility, the wind power consumption and the clean energy protection of nuclear power, the thermal power deep peak regulation is used as an initial reference, switching condition judgment of a high-capacity heat storage unit is realized through a primary switching criterion, and a load low-valley period is defined. And secondary switching criteria are adopted to realize the switching condition judgment of the power storage unit and define load peak and valley periods. And the switching condition judgment of wind abandoning measures is realized by three-level switching criteria. And the four-level switching criterion realizes the switching condition judgment of the nuclear power peak regulation measure and considers the action decision of the nuclear power serving as clean energy in the final time sequence. Through the four-stage control, the system fullness can be improved, and the power grid enters a recovery process after the power grid regulation fullness meets the requirement along with the change of the load, wherein the sequence is the reverse order of the four-stage measure input.
The method specifically comprises the following steps:
the method comprises the following steps: analyzing a system power balance difference after large-scale wind power is accessed based on an automatic power generation control system;
step two: the deep peak shaving of the thermal power generating unit is used as an adjusting reference, and the adjusting margin of the system after no-difference control is judged;
step three: establishing a thermal fire storage wind core unified power control setting model;
step four: establishing a primary switching criterion based on the high-capacity electric heat storage unit, judging the adjustment abundance of the system, and taking the primary switching criterion as an execution variable of the first time sequence priority arrangement;
step five: and establishing a secondary switching criterion based on the high-capacity power storage unit, judging the adjustment abundance of the system, and taking the secondary switching criterion as an execution variable of the second time sequence priority arrangement.
Step six: and establishing three-level switching criteria based on the wind abandoning measures, judging the adjustment abundance of the system, and taking the three-level switching criteria as an execution variable of the third time sequence priority arrangement.
Step seven: and establishing a four-level switching criterion based on the nuclear power peak regulation measure, judging the regulation abundance of the system, and taking the four-level switching criterion as an execution variable of the time sequence priority ranking fourth.
Step eight: and constructing a thermal fire storage wind core coordination method after the peak regulation abundance of the power grid is recovered.
Further, in the second step, the system adjusts the abundance expression as follows:
Figure BDA0001445569410000041
in the formula: j is the power grid medium-voltage generator set, N is the total number of the power grid medium-voltage generator sets,
Figure BDA0001445569410000042
the limit value is adjusted upwards for the grid,P jregulating the limit value, P, downwards for the networkj,maxFor maximum output of the unit, Pj,minThe minimum output of the machine set is obtained,
Figure BDA0001445569410000043
the margin is adjusted upwards for the power grid,R Nthe margin is adjusted downwards for the grid.
Further, in the third step, the model for setting the unified power control of the thermal storage wind core is as follows:
Figure BDA0001445569410000051
in the formula:
t is the moment of action of the control,
Figure BDA0001445569410000052
for the power of the base point,
Figure BDA0001445569410000053
is thermal power depth peak regulation quantity, chi is a four-level criterion variable matrix,
Figure BDA0001445569410000054
is the switching criterion of the large-capacity electric heat storage,
Figure BDA0001445569410000055
is the switching criterion of the power storage,
Figure BDA0001445569410000056
the switching criterion for the wind abandoning measure is adopted,
Figure BDA0001445569410000057
is a switching criterion of nuclear power peak regulation measures, namely delta PshAdjusting the total quantity, Δ P, for large-capacity electrical heat storageseFor regulating the total amount of stored electricity, Δ PawTotal adjustment for wind curtailment measures, Δ PanThe total amount of regulation of nuclear power peak regulation.
Further, in the fourth step, the primary switching criterion is as follows:
Figure BDA0001445569410000058
in the formula: [ t ] ofa,tb]In the load low-valley period, when the system margin is still less than the limit value after the thermal power deep peak regulation, the first-level criterion takes effect, and the action coefficient is the self action coefficient
Figure BDA00014455694100000511
And controlling the large-capacity heat storage power. Otherwise, it is 0.
Further, in the fifth step, the second switching criterion is as follows:
Figure BDA0001445569410000059
in the formula: [ t ] ofa,tb]For the load trough period, [ tc,td]In the load peak period, when the system margin is still less than the limit value after the thermal power deep peak regulation and large-capacity heat storage are put into use, the secondary criterion effect takes effect, and the effect coefficient is the self
Figure BDA00014455694100000510
And performing power storage power control. Otherwise, it is 0.
Further, in the sixth step, the three-level switching criterion is as follows:
Figure BDA0001445569410000061
in the formula: when the system margin is still smaller than the limit value after thermal power deep peak regulation, large-capacity heat storage investment and power storage investment, the third-level criterion takes effect, and the action coefficient is the self action coefficient
Figure BDA0001445569410000064
And performing wind curtailment power control. Otherwise, it is 0.
Further, in the seventh step, the four-stage switching criterion is as follows:
Figure BDA0001445569410000062
in the formula: when the system margin is still smaller than the limit value after thermal power deep peak regulation, large-capacity heat storage, electricity storage and wind abandon measures are put into operation, the four-stage criterion effect takes effect, and the effect coefficient is the self effect coefficient
Figure BDA0001445569410000063
And performing nuclear power control. Otherwise, it is 0.
Further, in the eighth step, a thermal storage and fire wind core coordination method after the peak regulation abundance of the power grid is recovered is constructed, when the peak regulation margin of the power grid is sufficient, the multi-source measures of the thermal storage and fire wind core need to be withdrawn from recovery, the sequence is defined as a reverse sequence, and the nuclear power recovery, the wind power recovery, the power storage recovery, the large-capacity heat storage and the thermal power deep peak regulation recovery are performed.
Advantageous effects
The invention aims at consuming clean energy, and aims at solving the blank technical problem of the coordination scheduling of various resources of current high-capacity heat storage, electricity storage, thermal power deep peak shaving, wind abandonment and nuclear power peak shaving.
Drawings
Fig. 1 is a flow chart of a multi-source coordinated scheduling method for improving the adjustment margin of a power grid according to the present invention;
fig. 2 is a timing diagram of coordinated switching among multiple sources of the thermal fire storage wind core provided by the invention.
Detailed Description
The following provides a further description of the present invention with reference to the drawings. As shown in fig. 1, the invention provides a multi-source coordinated scheduling flow chart for improving power grid regulation abundance, and the invention is used for reasonably coordinating and controlling five resources of thermal power deep peak regulation, high-capacity heat storage, electricity storage, wind abandonment and nuclear power peak regulation, and provides a thermal storage and fire wind-nuclear unified power control setting model according to thermal power regulation capacity, heat storage regulation capacity, electricity storage regulation flexibility, wind power consumption and nuclear power clean energy protection, realizes switching condition judgment of a high-capacity heat storage unit through a primary switching criterion, and defines a load low-valley period. And secondary switching criteria are adopted to realize the switching condition judgment of the power storage unit and define load peak and valley periods. And the switching condition judgment of wind abandoning measures is realized by three-level switching criteria. And the four-level switching criterion realizes the switching condition judgment of the nuclear power peak regulation measure and considers the action decision of the nuclear power serving as clean energy in the final time sequence. Through the four-stage control, the system fullness can be improved, and the power grid enters a recovery process after the power grid regulation fullness meets the requirement along with the change of the load, wherein the sequence is the reverse order of the four-stage measure input.
The method specifically comprises the following steps:
(1) and (4) automatic power generation control, and calculating the power difference.
(2) And (4) taking the deep peak shaving of the thermal power generating unit as an adjusting reference, and judging the adjusting abundance of the system after no-difference control.
(3) A thermal fire storage wind core unified power control setting model is established, so that the system margin is improved while no difference adjustment is realized;
(4) based on the high-capacity electric heat storage unit, a primary switching criterion is established, the adjustment abundance of the system is judged, and the primary switching criterion is used as an execution variable of the first time sequence priority arrangement.
(5) If the first-level switching does not meet the requirement of the sufficiency after the first-level switching, a second-level switching criterion is established based on the high-capacity power storage unit, the power control quantity is calculated, and the second-level switching criterion is used as a second execution variable of the time sequence priority arrangement.
(6) And if the second-level switching does not meet the requirement of the sufficiency after the second-level switching, establishing a third-level switching criterion based on a wind curtailment measure, calculating power control quantity, and taking the third-level switching criterion as an execution variable of the time sequence priority arrangement.
(7) And if the three-level switching does not meet the requirement of the abundance after the three-level switching, establishing a four-level switching criterion based on the nuclear power peak regulation measure, calculating the power control quantity, and taking the four-level switching criterion as an execution variable of the time sequence priority arrangement.
(8) And when the system adjustment margin is sufficient, the recovery process is realized in a mode of nuclear power, wind power, electricity storage, heat storage and thermal power deep peak regulation reverse sequence.
The coordinated switching time sequence diagram among the multiple sources of the hot stored-fire wind provided by the invention is shown in fig. 2, the time sequence relation of coordinated operation of five resources, namely thermal power deep peak regulation, high-capacity heat storage, electricity storage, wind abandonment and nuclear power peak regulation is defined, and the arrangement of the time sequence realizes the maximization of optimal economy and clean energy consumption.
The present invention will be described in further detail with reference to specific examples.
(1) In the load low valley period, the wind power is 200 kilowatts, after the thermal power is subjected to deep peak shaving, the power grid output is 1700 kilowatts, the power grid adjusting limit value is 1600 kilowatts, and the downward adjusting margin of the system is judged to be 100 kilowatts at the moment, so that the margin requirement of the system cannot be met.
(2) Establishing a thermal fire storage wind core unified power control setting model as follows;
Figure BDA0001445569410000091
(3) based on the high-capacity electric heat storage unit, a primary switching criterion is established, the adjustment abundance of the system is judged, and the primary switching criterion is used as an execution variable of the first time sequence priority arrangement.
Figure BDA0001445569410000092
1700 ten thousand kilowatts-200 ten thousand kilowatts are less than or equal to 1600 ten thousand kilowatts, and t belongs to [02:00,04:00 [ ]]
Figure BDA0001445569410000093
The sequence of putting into the large-capacity electric heat storage unit is as follows: 2, 3, 4, 6, 7, 8-ten thousand kilowatts. The first-level switching is used for putting 69 ten thousand kilowatts of heat storage load.
(4) And establishing a secondary switching criterion based on the high-capacity power storage unit, judging the adjustment abundance of the system, and taking the secondary switching criterion as an execution variable of the time sequence priority ranking second, taking the load valley period as an example.
Figure BDA0001445569410000094
[1700 ten thousand kilowatts to 200 ten thousand kilowatts +69 ten thousand kilowatts less than or equal to 1600 ten thousand kilowatts]
Figure BDA0001445569410000095
The sequence of putting into the large-capacity electric heat storage unit is as follows: 5, 3, 2, and 5 kilowatts. The primary switching is used for putting 15 ten thousand kilowatts of electricity storage loads.
(5) And establishing three-level switching criteria based on the wind abandoning measures, judging the adjustment abundance of the system, and taking the three-level switching criteria as an execution variable of the third time sequence priority arrangement.
Figure BDA0001445569410000096
[1700 ten thousand kilowatts to 200 ten thousand kilowatts +69 ten thousand kilowatts +15 ten thousand kilowatts ≤ 1600 ten thousand kilowatts]
Figure BDA0001445569410000097
And (4) wind abandoning measures are required, and the wind abandoning power is 20 ten thousand kilowatts.
(6) And establishing a four-level switching criterion based on the nuclear power peak regulation measure, judging the regulation abundance of the system, and taking the four-level switching criterion as an execution variable of the time sequence priority ranking fourth.
Figure BDA0001445569410000101
[1700 million kilowatts-200 million kilowatts +69 million kilowatts +15 million kilowatts +20 million kilowatts>1600 ten thousand kilowatts]
Through the investment of the first, second and third-level measures, the system regulation margin is judged by the four-level switching criterion to meet the requirement, the nuclear power peak regulation measure is not required to be invested, and the consumption of clean energy is guaranteed.
(7) And constructing a thermal fire storage wind core coordination method after the peak regulation abundance of the power grid is recovered.
The thermal power deep peak regulation is used as an adjusting reference, a power control set value is obtained through four-stage switching criteria, the power grid is guided to operate, and on the basis of consuming 200-ten-thousand kilowatt wind power, the adjusting margin in the load valley period is maintained and promoted. When the system runs through a load valley period, namely a period of difficult adjustment, the overall sufficient adjustment capacity of the system returns to a normal level, so that the multistage measures are required to be recovered to ensure the economical efficiency of the system operation. The whole switching optimization process realizes the maximum consumption of clean energy, and simultaneously greatly improves the abundant regulating capacity of the system.
The specific embodiments are given above, but the present invention is not limited to the described embodiments. The basic idea of the present invention lies in the above basic scheme, and it is obvious to those skilled in the art that no creative effort is needed to design various modified models, formulas and parameters according to the teaching of the present invention. Variations, modifications, substitutions and alterations may be made to the embodiments without departing from the principles and spirit of the invention, and still fall within the scope of the invention.

Claims (1)

1. A multisource coordination scheduling method for improving the adjustment margin of a power grid is characterized in that the method reasonably coordinates and controls five resources of thermal power deep peak regulation, high-capacity heat storage, electricity storage, wind abandonment and nuclear power peak regulation, and provides a thermal and fire storage wind-nuclear unified power control setting model according to the thermal power adjustment capacity, the heat storage adjustment capacity, the electricity storage adjustment flexibility, the wind power absorption and the clean energy protection of nuclear power, the thermal power deep peak regulation is used as an initial reference, the switching condition judgment of the high-capacity heat storage is realized through a primary switching criterion, and a load low-valley period is defined; secondary switching criteria are adopted to realize the switching condition judgment of the stored electricity and define load peak and valley time periods; three-level switching criterion is adopted to realize switching condition judgment of wind abandoning measures; the four-level switching criterion is used for realizing switching condition judgment of nuclear power peak regulation measures;
the method comprises the following specific steps:
the method comprises the following steps: analyzing a system power balance difference after large-scale wind power is accessed based on an automatic power generation control system;
step two: taking thermal power depth peak regulation as an initial reference, and judging the adjustment margin of the system after no-difference control;
step three: establishing a thermal fire storage wind core unified power control setting model;
step four: establishing a primary switching criterion based on high-capacity heat storage, judging the adjustment margin of the system, and taking the primary switching criterion as a first execution variable of the time sequence priority arrangement;
step five: establishing a secondary switching criterion based on the high-capacity power storage, judging the adjustment abundance of the system, and taking the secondary switching criterion as a second execution variable of the time sequence priority arrangement;
step six: establishing three-level switching criteria based on wind abandoning measures, judging the adjustment abundance of the system, and taking the three-level switching criteria as a third execution variable of the time sequence priority arrangement;
step seven: establishing a four-level switching criterion based on a nuclear power peak regulation measure, judging the adjustment abundance of the system, and taking the four-level switching criterion as an execution variable of the fourth time sequence priority arrangement;
step eight: constructing a thermal fire storage wind core coordination method after the peak regulation abundance of the power grid is recovered;
in the third step, the model for setting the unified power control of the heat storage fire wind core is as follows:
Figure FDA0002786532030000021
in the formula:
t is the moment of action of the control,
Figure FDA0002786532030000022
for the power of the base point,
Figure FDA0002786532030000023
is thermal power depth peak regulation quantity, chi is a four-level criterion variable matrix,
Figure FDA0002786532030000024
is the switching criterion of the large-capacity heat storage,
Figure FDA0002786532030000025
is the switching criterion of the power storage,
Figure FDA0002786532030000026
the switching criterion for the wind abandoning measure is adopted,
Figure FDA0002786532030000027
is a switching criterion of nuclear power peak regulation measures, namely delta PshAdjusting the total quantity, Δ P, for large-capacity heat storageseFor regulating the total amount of stored electricity, Δ PawTotal adjustment for wind curtailment measures, Δ PanIs the total adjusting amount of the nuclear power peak shaving,
Figure FDA0002786532030000028
and N is the total number of the thermal power units in the power grid.
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