CN110768283A - Unattended economic scheduling optimization method for multi-terminal flexible direct-current distribution network - Google Patents

Unattended economic scheduling optimization method for multi-terminal flexible direct-current distribution network Download PDF

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CN110768283A
CN110768283A CN201910964246.3A CN201910964246A CN110768283A CN 110768283 A CN110768283 A CN 110768283A CN 201910964246 A CN201910964246 A CN 201910964246A CN 110768283 A CN110768283 A CN 110768283A
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distribution network
direct
optimization
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陈淼
陈建福
刘仁亮
施世鸿
罗科
廖珩
李文晖
陈勇
刘尧
曹健
童铸
周夏涵
卓志豪
黄艺鹏
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Guangdong Power Grid Co Ltd
Zhuhai Power Supply Bureau of Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Zhuhai Power Supply Bureau of Guangdong Power Grid Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/36Arrangements for transfer of electric power between ac networks via a high-tension dc link
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/60Arrangements for transfer of electric power between AC networks or generators via a high voltage DC link [HVCD]

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  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention relates to the technical field of power distribution control, in particular to an unattended economic dispatching optimization method for a multi-terminal flexible direct-current distribution network, which comprises the following steps of S101: according to the requirement of economic dispatching operation, on the premise of meeting the power supply requirement of each load, adjusting the active and reactive power output of each converter station, and setting an optimization control target; s102: setting a boundary constraint condition; s103: dynamically acquiring current system running state information at a scheduling master station; s104: and the dispatching master station is provided with a simulation calculation module, collects the current system running state information in real time, automatically performs online calculation on the current state, gives an automatic optimization fixed value, and feeds back calculation and check again until the power loss control deviation is within a preset range after issuing execution stability. The automatic optimization scheduling operation of the multi-terminal direct-current distribution network is realized.

Description

Unattended economic scheduling optimization method for multi-terminal flexible direct-current distribution network
Technical Field
The invention relates to the technical field of power distribution control, in particular to an unattended economic dispatching optimization method for a multi-terminal flexible direct-current distribution network.
Background
For a long time, an electric power system is always in a leading position of alternating current, and all links of power generation, power transmission, power transformation, power distribution and power utilization are mainly in the form of the alternating current. With the development and the increasing maturity of the high-voltage direct-current transmission technology, the direct-current transmission technology is widely applied to the field of long-distance and large-capacity transmission, the maximum voltage is +/-1100 kV at present, the maximum single-circuit direct-current transmission capacity is 12GW, and the transmission distance can reach thousands of kilometers. In the field of power generation, new energy sources such as photovoltaic and wind power can generate direct current, but because a direct current power grid is not built, most of direct current generated by photovoltaic and wind power is converted into alternating current to be connected into the power grid through an inverter, certain inversion conversion loss exists, if direct current can be directly connected into the power grid, loss of a conversion link can be avoided, and reliability reduction caused by failure of the conversion link is avoided. In the field of power distribution, a large number of direct current load demands currently exist, such as direct current charging piles, variable frequency air conditioners, data centers and the like. However, most of the power distribution networks are ac power networks, and cannot directly provide dc power to the dc load, and the dc power needs to be rectified into dc power by a rectifying device for use by the load, thereby increasing the loss of the rectifying link and reducing the reliability. The direct current power distribution network has larger direct current requirements on the power supply side and the load side, and the alternating current power distribution network is used as a power grid for connecting the power supply side and the load side, and the alternating current power distribution network occupies an absolute dominant position and becomes a restriction factor, and the development of the direct current power distribution network becomes an objective requirement for the development of the power grid. In recent years, the development of the flexible direct current technology becomes an important direction of the power grid technology development, related scientific research and demonstration projects of flexible direct current projects have been developed in a power distribution network, some technical achievements are accumulated, direct current will become a development trend, and particularly in the field of power transformation and power distribution, the power grid will be developed into an alternating current and direct current coexisting state in the future.
Usually, the ac voltage level of the distribution network is medium or low voltage (35kV, 20kV, 10kV, 380V, 220V, etc.), and the dc distribution network corresponds to the ac distribution network, and the voltage level thereof is usually ± 20kV, ± 10kV, ± 375V, ± 110V, etc.
In the aspect of regulation and control operation of an alternating-current transformer substation, most transformer substations of 220kV and below can realize unattended operation at present, operation personnel on duty do not need to be arranged, the transformer substations are uniformly regulated and controlled by a dispatching center, and the centralized control center is used for uniformly maintaining, repairing and managing. At present, the transformer substations of 500kV and above adopt a manned duty mode, transformer substation operators are divided into different groups, and the transformer substations alternately operate on duty for 24 hours.
In the aspect of regulating and controlling the operation of the converter station, the high-voltage, ultrahigh-voltage and extra-high-voltage direct-current converter stations with the voltage grades of +/-160 kV and above all adopt a manned operation mode. The operators are divided into different groups, the operators are operated on duty in turn for 24 hours, the operators receive relevant scheduling instructions of the scheduling center, and manual operation or instruction sending is carried out on site in a main control room of the converter station or the converter station. More manpower needs to be invested, generally more than 20 persons are needed by the operator of one converter station, and the labor cost is higher.
For the direct-current power distribution network, the voltage level is low, and with the development of the direct-current power distribution network, the number of the converter stations of the direct-current power distribution network will be greatly increased in the future and far exceeds the number of the high-voltage converter stations. If a person is on duty, a large amount of operation and maintenance personnel are needed, the operation efficiency is low, and the labor cost investment is huge. Therefore, it is necessary to develop an unattended operation mode for the dc distribution network. Under the unattended scheduling mode, the scheduling algorithm of the flexible direct current distribution network system determines the control behavior and the system performance of the whole system, so that the optimized scheduling algorithm is particularly important for realizing the unattended economic and reliable operation.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an unattended economic dispatching optimization method for a multi-terminal flexible direct-current distribution network so as to realize automatic optimized dispatching operation of the multi-terminal direct-current distribution network.
In order to solve the technical problems, the invention adopts the technical scheme that: an unattended economic dispatching optimization method for a multi-terminal flexible direct-current distribution network comprises the following steps:
s101: according to the requirement of economic dispatching operation, on the premise of meeting the power supply requirement of each load, adjusting the active and reactive power output of each converter station, and setting an optimization control target;
s102: setting boundary constraint conditions, including the following constraint conditions:
1) the active and reactive power output of each converter station does not exceed the rated value of the converter station;
2) the direct-current bus voltage of each converter station does not exceed the allowable range;
3) the power of each direct current line does not exceed the rated load;
4) no other fault or serious alarm information occurs;
s103: dynamically acquiring current system running state information at a scheduling master station;
s104: and the dispatching master station is provided with a simulation calculation module, collects the current system running state information in real time, automatically performs online calculation on the current state, gives an automatic optimization fixed value, and feeds back calculation and check again until the power loss control deviation is within a preset range after issuing execution stability.
Further, in step S101, the control target is the network loss Ploss of the dc distribution network, which is expressed as:
wherein n is the number of nodes of the direct-current distribution network, Vi is the voltage value of the ith node, Vj is the voltage value of the jth node, and yij is the direct-current conductance of a branch between the ith node and the jth node.
Further, in step S103, the system operation state information includes a bus dc voltage, an active power, and a reactive power of each converter station; the current value of each direct current line; position state information of each breaker, isolating switch and grounding switch; and other alarm information.
Further, in step S104, the scheduling master station sets a simulation calculation module, collects the current system operation state information into the master station in real time, performs a traversal optimization algorithm in the simulation calculation module to obtain an optimal solution, where the traversal optimization algorithm refers to a method of one-by-one simulation optimization, calculates each working condition circularly once to find out the optimal solution, outputs the active and reactive powers of each power supply and the converter station corresponding to the optimal solution and the voltage values of each node, converts the output into a control signal, and sends the control signal to the multi-terminal dc distribution network control protection system through the scheduling system; after the control protection system executes the control instruction and stabilizes, the information such as the voltage of each node of the system is collected again and fed back to the dispatching master station, the master station simulation calculation module calculates the deviation between the actual execution and the last simulation control target, the control variable caused by the deviation is sent to the multi-terminal direct current control system again to form feedback closed-loop control, and the feedback closed-loop control is carried out for multiple times until the power loss control deviation is within a preset range.
Further, in step S101, the real power and reactive power output of each converter station are adjusted within the rated range, and the load of each dc line is also within the rated range, so as to achieve the set optimal control target, the real power and reactive power output values of each converter station are calculated.
Compared with the prior art, the invention has the beneficial effects that:
1. the unattended optimization scheduling control of the multi-terminal direct-current power distribution network can be realized, the voltage of each station can be accurately controlled, the system loss is reduced, and the method has higher economic value;
2. the intelligent level and the automatic level of the system are improved, and faults caused by human factors are avoided;
3. and the dispatching center performs on-line simulation calculation traversal optimization, automatically forms an issued control fixed value, and repeatedly controls and finely adjusts the control variable in a closed loop for multiple times according to the actual voltage value executed by the fixed value, so as to realize accurate closed loop control.
Drawings
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The present invention will be further described with reference to the following embodiments. Wherein the showings are for the purpose of illustration only and are shown by way of illustration only and not in actual form, and are not to be construed as limiting the present patent; to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", etc. based on the orientation or positional relationship shown in the drawings, it is only for convenience of describing the present invention and simplifying the description, but it is not intended to indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and are not to be construed as limiting the present patent, and the specific meaning of the terms may be understood by those skilled in the art according to specific circumstances.
Examples
An unattended economic dispatching optimization method for a multi-terminal flexible direct-current distribution network comprises the following steps:
s101: according to the requirement of economic dispatching operation, on the premise of meeting the power supply requirement of each load, adjusting the active and reactive power output of each converter station, and setting an optimization control target;
s102: setting boundary constraint conditions, including the following constraint conditions:
1) the active and reactive power output of each converter station does not exceed the rated value of the converter station;
2) the direct-current bus voltage of each converter station does not exceed the allowable range;
3) the power of each direct current line does not exceed the rated load;
4) no other fault or serious alarm information occurs;
s103: dynamically acquiring current system running state information at a scheduling master station;
s104: and the dispatching master station is provided with a simulation calculation module, collects the current system running state information in real time, automatically performs online calculation on the current state, gives an automatic optimization fixed value, and feeds back calculation and check again until the power loss control deviation is within a preset range after issuing execution stability.
In this embodiment, in step S101, the control target is the network loss Ploss of the dc distribution network, which is expressed as:
Figure BDA0002229961300000041
wherein n is the number of nodes of the direct-current distribution network, Vi is the voltage value of the ith node, Vj is the voltage value of the jth node, and yij is the direct-current conductance of a branch between the ith node and the jth node.
In this embodiment, in step S103, the system operation state information includes a bus dc voltage, active power, and reactive power of each converter station; the current value of each direct current line; position state information of each breaker, isolating switch and grounding switch; and other alarm information.
In this embodiment, in step S104, the scheduling master station sets a simulation calculation module, collects current system operation state information into the master station in real time, performs a traversal optimization algorithm in the simulation calculation module to obtain an optimal solution, where the traversal optimization algorithm refers to a method of one-by-one simulation optimization, calculates each working condition circularly once to find out the optimal solution, outputs active and reactive powers and node voltage values of each power supply and converter station corresponding to the optimal solution, converts the active and reactive powers and node voltage values into control signals, and sends the control signals to the multi-terminal dc distribution network control protection system through the scheduling system; after the control protection system executes the control instruction and stabilizes, the information such as the voltage of each node of the system is collected again and fed back to the dispatching master station, the master station simulation calculation module calculates the deviation between the actual execution and the last simulation control target, the control variable caused by the deviation is sent to the multi-terminal direct current control system again to form feedback closed-loop control, and the feedback closed-loop control is carried out for multiple times until the power loss control deviation is within a preset range.
In this embodiment, in step S101, the real power and reactive power of each converter station are adjusted within the rated range, and the load of each dc line is also within the rated range, so that the real power and reactive power of each converter station are calculated to achieve the set optimal control target.
As shown in fig. 1, the scheduling master station acquires current system operating state information of the converter station end, including bus dc voltage, active power, and reactive power of each converter station. The current value of each direct current line; position state information of each breaker, isolating switch and grounding switch and other alarm information. And when the calculation result meets the constraint condition, the active and reactive power output of each power supply and the converter station corresponding to the optimal solution and the voltage value of each node are output and converted into control signals, and the control signals are transmitted to the multi-terminal direct-current distribution network control protection system through the scheduling system. After the control protection system executes the control instruction and stabilizes, the information such as the voltage of each node of the system is collected again and fed back to the dispatching master station, the master station simulation calculation module calculates the deviation between the actual execution and the last simulation control target, the control variable caused by the deviation is sent to the multi-terminal direct current control system again to form feedback closed-loop control, and the feedback closed-loop control is carried out for multiple times until the power loss control deviation is within a preset acceptable range. And when the calculation result does not meet the constraint condition, returning to the scheduling main station for readjusting calculation through the simulation calculation module.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.

Claims (5)

1. An unattended economic dispatching optimization method for a multi-terminal flexible direct-current distribution network is characterized by comprising the following steps:
s101: according to the requirement of economic dispatching operation, on the premise of meeting the power supply requirement of each load, adjusting the active and reactive power output of each converter station, and setting an optimization control target;
s102: setting boundary constraint conditions, including the following constraint conditions:
1) the active and reactive power output of each converter station does not exceed the rated value of the converter station;
2) the direct-current bus voltage of each converter station does not exceed the allowable range;
3) the power of each direct current line does not exceed the rated load;
4) no other fault or serious alarm information occurs;
s103: dynamically acquiring current system running state information at a scheduling master station;
s104: and the dispatching master station is provided with a simulation calculation module, collects the current system running state information in real time, automatically performs online calculation on the current state, gives an automatic optimization fixed value, and feeds back calculation and check again until the power loss control deviation is within a preset range after issuing execution stability.
2. The method according to claim 1, wherein in step S101, the control target is a network loss Ploss of the dc distribution network, which is expressed as:
Figure FDA0002229961290000011
wherein n is the number of nodes of the direct-current distribution network, Vi is the voltage value of the ith node, Vj is the voltage value of the jth node, and yij is the direct-current conductance of a branch between the ith node and the jth node.
3. The unattended economic scheduling optimization method for the multi-terminal flexible direct-current distribution network according to claim 1, wherein in step S103, the system operation state information includes bus direct-current voltage, active power and reactive power of each converter station; the current value of each direct current line; position state information of each breaker, isolating switch and grounding switch; and other alarm information.
4. The unattended economic scheduling optimization method for the multi-terminal flexible direct-current distribution network according to claim 1, wherein in step S104, the scheduling master station is provided with a simulation calculation module, current system operation state information is collected into the master station in real time, a traversal optimization algorithm is performed in the simulation calculation module to obtain an optimal solution (the traversal optimization algorithm is a method of performing simulation optimization one by one, each working condition is circularly calculated once to find out the optimal solution), active and reactive output values and node voltage values of each power supply and each converter station corresponding to the optimal solution are output and converted into control signals, and the control signals are transmitted to the multi-terminal direct-current distribution network control protection system through the scheduling system; after the control protection system executes the control instruction and stabilizes, the information such as the voltage of each node of the system is collected again and fed back to the dispatching master station, the master station simulation calculation module calculates the deviation between the actual execution and the last simulation control target, the control variable caused by the deviation is sent to the multi-terminal direct current control system again to form feedback closed-loop control, and the feedback closed-loop control is carried out for multiple times until the power loss control deviation is within a preset range.
5. The method for optimizing the unattended economic dispatch of the multi-terminal flexible direct current distribution network according to claim 1, wherein in step S101, the active and reactive power output of each converter station is adjusted within a rated range, and the load of each direct current line is also within the rated range, and the active and reactive power output values of each converter station are calculated to achieve the set optimal control objective.
CN201910964246.3A 2019-10-11 2019-10-11 Unattended economic scheduling optimization method for multi-terminal flexible direct-current distribution network Pending CN110768283A (en)

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