CN115833269A - Active control system and method for power distribution network containing wind-heat unit - Google Patents
Active control system and method for power distribution network containing wind-heat unit Download PDFInfo
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Abstract
The invention discloses an active control system of a power distribution network containing a wind-heat unit, which comprises a data interaction subsystem, an automatic control subsystem and a distributed hybrid energy supply decision-making subsystem; the data interaction subsystem receives real-time operation data of the power distribution network, the automatic control subsystem calculates regional regulating quantity, the regional regulating quantity is distributed to the conventional unit and the unconventional unit, and the unconventional unit regulating quantity A and a conventional unit control instruction are calculated; the distributed hybrid energy supply decision-making subsystem distributes the unconventional unit regulating quantity A to the wind power photovoltaic unit and the wind power unit, calculates and distributes the wind power photovoltaic unit regulating quantity B and the wind power unit regulating quantity C to obtain a wind power unit pre-instruction value, and the automatic control subsystem checks the instruction value to obtain a final wind power unit control instruction and a conventional unit control instruction. According to the invention, the wind-heat machine set is added into the active control system of the power distribution network, so that the energy utilization efficiency can be improved on the premise of ensuring the safe operation of the power grid.
Description
Technical Field
The invention belongs to the field of power system automation, and particularly relates to an active control system and method for a power distribution network containing a wind-heat unit.
Background
Energy is an important foundation for social and economic development. The improvement of the comprehensive utilization efficiency of energy is the key for breaking the contradiction between energy development and environmental crisis, and is an important way for realizing the high-efficiency, safe, clean and stable application of energy. In recent years, on the energy supply side, the development pace of renewable energy in China is accelerated, and the quantity of new wind power and photovoltaic additional machines is in the first place in the world, so that the improvement of the flexibility of thermal power and thermal power units is the key for fully consuming the renewable energy and promoting the utilization of the renewable energy, and is also an important means for deeply improving the energy structure on the energy supply side.
With the acceleration of urbanization process in China, the heat supply area and the demand are increased rapidly, and the total energy consumption is also increased continuously. Clean heating has become the main direction of the current heating development in our country. On the energy load side, the coal-to-electricity engineering needs to be popularized and implemented, and clean heating technologies such as electric heating and gas-fired boilers need to be developed. The electric heating clean heating can conveniently meet the heat supply requirements of scattered households, is flexible in operation mode, and promotes the consumption of renewable energy sources in the winter heating period. The heating mode of the wind-heat unit for electric heating and clean heating uses clean electric power, has high energy efficiency, low cost and no pollution, and has huge potential in reducing energy consumption and carbon dioxide emission. The central heating is carried out by using a wind-heat unit to heat instead of fire coal, so that the energy consumption and the carbon dioxide emission can be respectively reduced by 57.6 percent and 81.4 percent. The heating of the wind-heat set is used for replacing the central heating and the distributed heating of cities, so that the energy consumption and the carbon dioxide emission can be reduced by 67.7 percent and 85.8 percent respectively, and the method becomes one of the main modes of clean heating in the future. The wind-heat unit and other distributed energy supply systems are combined to form a distributed hybrid energy supply system containing the wind-heat unit, traditional electric energy supply is expanded to comprehensive energy supply, supply and demand interaction of various forms of energy such as electricity, heat, cold and the like in a limited area is realized, and a high-efficiency clean energy supply technology is comprehensively formed. However, the large-scale application of the distributed hybrid energy supply system including the wind-heat generating set on the load side can affect the distribution network side, and the complexity of power network scheduling is increased.
To sum up, the scale is popularized and applied and is contained the distributed mixed energy supply system of wind-heat unit, realizes the nimble regulation of the controllable load of distribution network side, need combine the regulation and control requirement of distribution network side, realizes wind-heat unit and other distributed energy supply system's active control, guarantees that electric wire netting safety and energy high efficiency utilize.
Disclosure of Invention
The invention aims to provide an active control system and method for a power distribution network containing a wind-heat unit, which are used for realizing coordinated active control of the wind-heat unit and other distributed energy supply systems and improving the energy utilization efficiency on the premise of ensuring the safe operation of the power grid.
In order to achieve the purpose, the active control system of the power distribution network containing the wind-heat machine set comprises a data interaction subsystem, an automatic control subsystem and a distributed hybrid energy supply decision-making subsystem; the data interaction subsystem is used for establishing a data uploading model of the wind-heat unit, receiving power distribution network real-time operation data collected by a local-city-level power distribution automation main station platform, transmitting the power distribution network real-time operation data to a provincial-level dispatching system platform, receiving a wind-heat unit output curve calculated and output by the provincial-level dispatching system platform, and transmitting the power distribution network real-time operation data and the wind-heat unit output curve to the automatic control subsystem; the real-time operation data comprises a regional control deviation ACE, a conventional unit adjusting step length, a section limit value, a section tide active power, a unit output, a unit installed capacity, a unit adjusting rate and a unit adjusting lower limit; the automatic control subsystem calculates an area regulating quantity S according to real-time operation data of the power distribution network transmitted by the data interaction subsystem, distributes the area regulating quantity S to a conventional unit and an unconventional unit according to an ACE normal area equal proportion distribution algorithm, calculates an unconventional unit regulating quantity A and a conventional unit control instruction, and transmits the unconventional unit regulating quantity A to the distributed hybrid energy supply decision-making subsystem; the distributed hybrid energy supply decision subsystem distributes the unconventional unit regulating quantity A to the wind power photovoltaic unit and the wind heat unit by adopting a coordinated optimization configuration and a multi-energy flow optimization control method containing the wind heat unit according to the unconventional unit regulating quantity A transmitted by the automatic control subsystem, calculates a wind power photovoltaic unit regulating quantity B and a wind heat unit regulating quantity C, distributes the wind power photovoltaic unit regulating quantity B to the wind power unit and the photovoltaic unit according to an equal proportion distribution method, distributes the wind heat unit regulating quantity C to each wind heat unit according to an equal proportion distribution method, obtains a wind heat unit pre-instruction value, and transmits the wind heat unit pre-instruction value to the automatic control subsystem; and the automatic control subsystem verifies the wind-heat unit prearranged instruction value and the conventional unit control instruction to obtain a verified wind-heat unit control instruction and a verified conventional unit control instruction, and transmits the verified wind-heat unit control instruction and the verified conventional unit control instruction to the data interaction subsystem.
An active control method for a power distribution network containing a wind-heat unit comprises the following steps:
step 1, a data interaction subsystem establishes a wind-heat unit uploading data model, receives power distribution network real-time operation data collected by a local-city-level power distribution automation main station platform, transmits the power distribution network real-time operation data to a provincial-level dispatching system platform, receives a wind-heat unit output curve calculated and output by the provincial-level dispatching system platform, and transmits the power distribution network real-time operation data and the wind-heat unit output curve to an automatic control subsystem; the real-time operation data comprises a regional control deviation ACE, a conventional unit adjusting step length, a section limit value, a section tide active power, a unit output, a unit installed capacity, a unit adjusting rate and a unit adjusting lower limit;
step 2, the automatic control subsystem calculates an area regulating quantity S according to real-time operation data of the power distribution network transmitted by the data interaction subsystem, distributes the area regulating quantity S to a conventional unit and an unconventional unit according to an ACE normal region equal proportion distribution algorithm, calculates an unconventional unit regulating quantity A and a conventional unit control instruction, and transmits the unconventional unit regulating quantity A to the distributed hybrid energy supply decision-making subsystem;
The invention has the beneficial effects that: the role of the wind-heat set in the power distribution system is changed from simple power load to controllable load, the controllable load is added into the active control system of the power distribution network, and the wind-heat set and power supply side control objects (conventional sets, wind power and photovoltaic sets) participate in the adjustment process of the area control deviation ACE together through a proportional distribution method, so that the energy utilization efficiency can be improved on the premise of ensuring the safe operation of a power grid.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
the system comprises a data interaction subsystem 1, an automatic control subsystem 2, a distributed hybrid energy supply decision-making subsystem 3 and a human-computer interaction subsystem 4.
Detailed Description
The invention is described in further detail below with reference to the following figures and specific examples:
an active control system of a power distribution network containing a wind-heat unit is shown in figure 1 and comprises a data interaction subsystem 1, an automatic control subsystem 2, a distributed hybrid energy supply decision-making subsystem 3 and a man-machine interaction subsystem 4;
the data interaction subsystem 1 is used for establishing a data uploading model of the wind-heat unit, receiving real-time operation data of a power distribution network collected by a city-level distribution automation master station platform through a data center network among power dispatching mechanisms based on a distribution integration bus service system of the city-level distribution automation master station platform, transmitting the real-time operation data of the power distribution network to a provincial dispatching system platform, receiving a wind-heat unit output curve calculated and output by the provincial dispatching system platform, and transmitting the real-time operation data of the power distribution network and the wind-heat unit output curve to the automatic control subsystem 2; the real-time operation data comprises a regional control deviation ACE, a conventional unit adjusting step length, a section limit value, a section tide active power, a unit output, a unit installed capacity, a unit adjusting rate and a unit adjusting lower limit;
the automatic control subsystem 2 is used for the core service logic processing of the system and is responsible for the realization of a control algorithm; calculating an area regulating quantity S according to real-time operation data of the power distribution network transmitted by the data interaction subsystem 1, distributing the area regulating quantity S to a conventional unit and an unconventional unit according to an equal proportion distribution algorithm of an ACE normal area, calculating an unconventional unit regulating quantity A and a conventional unit control instruction (the control instruction is used for controlling the magnitude of the active value of the units), and transmitting the unconventional unit regulating quantity A to the distributed hybrid energy supply decision-making subsystem 3, wherein the conventional unit refers to a thermal power unit and a hydroelectric power unit, and the unconventional unit refers to a wind power unit, a photovoltaic unit and a wind power unit;
the distributed hybrid energy supply decision subsystem 3 distributes the unconventional unit regulating quantity A to the wind turbine generator set and the wind turbine generator set according to the unconventional unit regulating quantity A (the unconventional unit regulating quantity A is used for regulating the active power of the unconventional unit) transmitted by the automatic control subsystem 2 by adopting coordinated optimization configuration and a multi-energy flow optimization control method containing the wind turbine generator set, calculates the wind turbine generator set regulating quantity B (regulating the active power of the wind turbine generator set) and the wind turbine generator set regulating quantity C (regulating the active power of the wind turbine generator set), distributes the wind turbine generator set regulating quantity B to the wind turbine generator set and the wind turbine generator set according to an equal proportion distribution method, distributes the wind turbine generator set regulating quantity C to each wind turbine generator set according to an equal proportion distribution method to obtain a wind turbine generator set pre-instruction value, and transmits the wind turbine generator set pre-instruction value to the automatic control subsystem 2; the automatic control subsystem 2 verifies the wind-heat unit prearranged instruction value and the conventional unit control instruction to obtain a verified wind-heat unit control instruction and a verified conventional unit control instruction, and transmits the verified wind-heat unit control instruction and the verified conventional unit control instruction to the data interaction subsystem 1, so that the running state of the wind-heat unit can be controlled and fed back to the power distribution network, and the effects of relieving the impact of the power consumption peak caused by cold and heat loads on the power distribution network and improving the comprehensive utilization efficiency of the power distribution system energy are achieved;
the human-computer interaction subsystem 4 provides a unified portal, the unified portal is a user of the platform and is used for providing a unified operating environment and distributing different resources and different authorities according to the authority of a user responsibility area; the man-machine interaction subsystem 4 provides a data service interface, and the data service interface provides support for service functions of monitoring the running state of a unit, monitoring power balance of power generation of a power grid, setting instructions and the like; the human-computer interaction subsystem 4 provides a friendly display interface, counts the running conditions of the distributed power supply and the controllable load, adjusts the performance and the like, displays various data by reports, curves, bar charts, pie charts and the like, and leads out the report data in forms of word, excel and the like.
The active control system of the power distribution network containing the wind-heat unit is built in a local and municipal level power distribution automation master station based on the existing power distribution network dispatching automation system in China. The distribution network automation master station collects real-time operation data of a distribution network through a distribution communication terminal, transmits the power grid data to the local-level dispatching automation master station, and then uploads the power grid data to the network/provincial-level dispatching control platform from the local level. And the network/provincial dispatching calculates the overall control curve of the wind power and wind power units in the region according to the operation condition of the whole network, and transmits the overall control curve to the distribution network through the metro dispatching network. The active control system of the distribution network wind-heat-containing unit takes a plan curve as a basis, combines the current power grid section constraint and the renewable energy power generation condition, and controls the regional wind-heat unit.
In the above technical solution, a specific implementation method of the ACE normal area equal proportion allocation algorithm in the automatic control subsystem 2 is as follows:
when the area regulating quantity S is smaller than the total regulating step length of the conventional unit, distributing all the area regulating quantities S to the conventional unit, and calculating to obtain the regulating quantity of the conventional unit, wherein the regulating quantity A of the unconventional unit is 0;
when the area regulating quantity S is larger than the sum of the regulating steps of the conventional unit, the regulating quantity of the conventional unit is the regulating step of the conventional unit, the instruction value of the conventional unit is the sum of the current output of the conventional unit and the regulating quantity of the conventional unit, and the regulating quantity A of the unconventional unit is the sum of the area regulating quantity S minus the regulating quantity of the conventional unit;
and the area adjustment quantity S is obtained by multiplying the area control deviation ACE in the real-time operation data of the power distribution network by an area power grid adjustment coefficient.
The equal proportion distribution algorithm according to the normal ACE area has the following effects: the fair power generation among multiple units under the normal condition of the power grid can be met according to the installed capacity distribution; the response speed requirement under the condition that the power grid needs to be quickly adjusted can be met by distributing according to the adjusting rate.
In the above technical solution, the specific implementation method of the multi-energy flow optimization control method in the distributed hybrid energy supply decision subsystem 3 is as follows:
the control strategy required to be adopted when the distributed hybrid energy supply decision subsystem 3 distributes the adjustment quantity A of the unconventional unit to the wind power photovoltaic unit and the wind power unit is a section active control strategy; after the large-scale distributed wind power, photovoltaic and wind power units and other energy sources are connected, safety constraint control of the multi-level nested sections is adopted. The multi-energy flow optimization control method can ensure that the section tidal current has active power without exceeding the limit and the power grid is safe. When the adjustment amount is distributed, the adjustment amount of each layer of section is limited in the section adjustable space (section limit value-section real-time active). The section can be an actual section of a power grid, and can also be a virtual section defined by scheduling (such as total wind power output of the whole grid, total output of each wind area and the like).
In the technical scheme, the section active control strategy is to enable the wind turbine generator and the photovoltaic generator to generate electricity to the maximum extent on the premise of ensuring that the section is not out of limit when the unconventional unit regulating quantity A is distributed to the wind turbine generator and the wind turbine generator under the section;
the method comprises the steps that the sections comprise 1,2, a.
The section active control strategy can not only ensure that the section power flow is active and not out of limit, but also ensure that the unit load rates under the same section are the same (fairness); firstly, the adjustment quantity of each layer of section is limited in the section adjustable space (section limit value-section real-time active power); the reason is that the units under the same layer are distributed according to an equal proportion method.
And the distribution amount of the wind power photovoltaic unit of the current bottommost section is obtained by subtracting the active section power flow in the real-time operation data of the power distribution network from the section limit value in the real-time operation data of the power distribution network.
In the above technical solution, the method for obtaining the wind heat set pre-instruction value by the distributed hybrid energy supply decision subsystem 3 is as follows:
and distributing the adjustment quantity C of the wind heat units to each wind heat unit to obtain the adjustment quantity C of each wind heat unit, wherein the prearranged value of each wind heat unit is the sum of the adjustment quantity C of each wind heat unit and the current power of each wind heat unit. The method can ensure that the load rates of the units are the same (fairness), because the units are independently distributed among the layers, and the units under the same layer are distributed according to an equal proportion method.
In the above technical solution, the control strategy that needs to be adopted when the automatic control subsystem 2 allocates the area adjustment amount S to the conventional unit and the non-conventional unit is an ACE partition control strategy;
the ACE subarea control strategy divides the system state into a normal area, an emergency area and an out-of-limit area according to the size of real-time area control deviation issued by a superior dispatching mechanism, and when the area control deviation is in different intervals, the control strategies are different;
when the area control deviation is in a normal area, distributing the area regulating quantity S to a conventional unit and an unconventional unit according to an equal proportion distribution algorithm of an ACE normal area;
when the regional control deviation is in an emergency region, limiting the instruction value of a single unit under the section to the current output, wherein the instruction value of the single unit is the current output of the single unit, so that the section is prevented from being out of limit, and the conventional unit of the section can only be adjusted towards the section recovery direction;
and when the regional control deviation is in the out-of-limit region, distributing the regional regulating quantity S to the conventional unit under the section, and when the standby sum under the conventional unit is smaller than the regional regulating quantity S, distributing the residual regulating quantity to the wind power photovoltaic unit.
The ACE subarea control strategy gives consideration to the economy and the safety of the operation of a power grid, and in the aspect of economy, when the ACE is usually in a normal area, a conventional unit can meet the adjustment requirement without frequent adjustment of an unconventional unit; in terms of safety, the ACE is in an emergency zone, out-of-limit zone, with grid safe operation as the first goal, and the non-conventional type crew also adjusts.
In the technical scheme, when the distributed hybrid energy supply decision subsystem 3 distributes the wind power photovoltaic set regulating quantity B to the wind power set and the photovoltaic set according to an equal proportion distribution method, the wind power photovoltaic set regulating quantity B is the total regulating quantity, and the wind power set and the photovoltaic set are single-machine sets;
the distributed hybrid energy supply decision subsystem 3 distributes the regulating capacity C of the wind-heat units to each wind-heat unit according to an equal proportion distribution method, wherein the regulating capacity C of the wind-heat units is the total regulating capacity, and the wind-heat units are single units;
the specific implementation manner of the equal proportion distribution method is as follows:
step 1.1, calculating the total target output of all the units which can participate in mediation: the total target output is the sum of the current total output and the total regulating quantity, and the current total output is collected by a power distribution automation master station platform;
step 1.2, calculating the load rate: the load factor is the percentage of the total target output in the step 1.1 to the total installed capacity, and the total installed capacity is acquired by a power distribution automation master station platform;
step 1.3, calculating the instruction value of the single unit: the single machine set instruction value is the product of the single machine installed capacity and the load rate output in the step 1.2, and the single machine installed capacity is acquired by a power distribution automation main station platform; and the single machine set regulating quantity is obtained by subtracting the current single machine set output from the single machine set instruction value.
The equal proportion distribution method ensures the fairness of power generation because the equal proportion distribution method takes the same load rate as a control target.
In the technical scheme, when the distributed hybrid energy supply decision subsystem 3 distributes the wind power photovoltaic unit regulating quantity B to the wind power unit and the photovoltaic unit, and when the power generation capacity is insufficient, the distributed hybrid energy supply decision subsystem 3 optimizes the distribution of the wind power photovoltaic unit regulating quantity B, and the method adopted during optimization is a method for distributing according to the power generation capacity;
the specific implementation mode of the distribution method according to the power generation capacity is as follows:
the output adjustment of the new energy unit may not reach the instruction value due to the change of natural conditions such as illumination, wind power and the like; and preferentially distributing the total regulating quantity to the object with large regulating capacity according to the maximum power generation capacity of each wind power photovoltaic or the maximum adjustable range of the wind power set. Firstly, distributing the wind power photovoltaic set regulating quantity B to a wind power set and a photovoltaic set according to an equal proportion distribution method, and transferring the regulating quantity of the set of which the output cannot be increased continuously to the set of which the output can follow the instruction after 2 continuous instructions are issued.
The distribution method according to the power generation capacity can improve the utilization rate of new energy. Because when influenced by natural environment, the wind turbine generator set and the photovoltaic generator set cannot reach the instruction value, the regulating quantity of the influenced generator set is transferred to the energy-efficient generator set (large wind power and strong illumination), natural resources are fully utilized, and the utilization rate of new energy is improved.
In the above technical solution, when the automatic control subsystem 2 and the distributed hybrid energy supply decision subsystem 3 perform adjustment quantity allocation, a scene-based control strategy is also adopted; combining the requirements of maximum consumption of new energy and safe and stable operation, classifying the power generation unit and the wind-heat unit into different control scenes in the active control process of the power distribution network based on the characteristic parameters of installed capacity, rated power, regulation rate and the like of the wind-power photovoltaic power generation unit and the wind-heat unit, and adopting different control logics to achieve different control targets.
The control scenes in the scene-based control strategy comprise conventional peak shaving, frequency modulation, emergency control and manual scheduling, and different control requirements under different scenes are met;
when the control scene is conventional peak load regulation and frequency modulation, the automatic control subsystem 2 distributes the adjustment quantity of the conventional unit according to the unit installed capacity equal proportion distribution method;
when the control scene is emergency control, the scene generally belongs to the situation that the power flow is seriously out of limit and the output of the unit needs to be quickly reduced, the automatic control subsystem 2 distributes the regulating quantity of the conventional unit, and the distributed hybrid energy supply decision subsystem 3 distributes the regulating quantity A of the unconventional unit, so that the safe operation and the quick regulation of a power grid are ensured. Because the unit with a large adjusting speed is used for preferentially bearing the adjusting amount, the active power of the power grid is restored within the limit value at the fastest speed. The method for distributing the area regulating quantity S' in the emergency control scene by the automatic control subsystem 2 comprises the following steps:
the regional regulating quantity S' is equal to an out-of-limit degree Y, and the out-of-limit degree is the active power of the section tide minus the limit value of the section;
when the regional regulating quantity S' is distributed in an emergency control scene, sorting the regulating rates of the units from large to small, and distributing the regulating rates with high priority, wherein the distributing quantity of the units is the current output of the units minus the regulating lower limit of the units; the unit adjusting rate and the unit adjusting lower limit are provided by the data interaction subsystem.
When the control scene is manual scheduling, in order to guarantee maximum power generation of the new energy sample trigger and normal operation of the wind turbine set of the important department, a scheduling person sets a constant instruction value of the new energy sample trigger set, calculates the adjustment quantity of the new energy sample trigger set according to (adjustment quantity = instruction value-real-time output), sets a constant instruction value of the wind turbine set of the important department, calculates the adjustment quantity of the wind turbine set of the important department according to (adjustment quantity = instruction value-real-time output), when the distributed hybrid energy supply decision subsystem 3 distributes the adjustment quantity B of the wind turbine set and the adjustment quantity C of the wind turbine set of the important department, subtracts the adjustment quantity B of the wind turbine set of the new energy sample trigger set from the adjustment quantity B of the wind turbine set to obtain the adjustment quantity of the residual wind turbine set, subtracts the adjustment quantity C of the wind turbine set of the important department from the adjustment quantity B of the wind turbine set of the new energy sample trigger set to obtain the adjustment quantity of the residual wind turbine set, and distributes the adjustment quantity of the residual wind turbine set according to an equal proportion distribution method.
A power distribution network active control method of a wind-heat-containing unit using the system is characterized in that: it comprises the following steps:
step 1, a data interaction subsystem 1 establishes a wind-heat unit uploading data model, receives power distribution network real-time operation data collected by a local-city-level power distribution automation main station platform, transmits the power distribution network real-time operation data to a provincial dispatching system platform, receives a wind-heat unit output curve calculated and output by the provincial dispatching system platform, and transmits the power distribution network real-time operation data and the wind-heat unit output curve to an automatic control subsystem 2; the real-time operation data comprises a regional control deviation ACE, a conventional unit adjusting step length, a section limit value, a section tide active power, a unit output, a unit installed capacity, a unit adjusting rate and a unit adjusting lower limit;
step 2, the automatic control subsystem 2 calculates an area regulating quantity S according to the real-time operation data of the power distribution network transmitted by the data interaction subsystem 1, distributes the area regulating quantity S to a conventional unit and an unconventional unit according to an ACE normal area equal proportion distribution algorithm, calculates an unconventional unit regulating quantity A and a conventional unit control instruction, and transmits the unconventional unit regulating quantity A to the distributed hybrid energy supply decision-making subsystem 3;
Details not described in this specification are within the skill of the art that are well known to those skilled in the art. 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 has been 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.
Finally, it should be noted that the above-mentioned embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the protection scope thereof, and although the present invention is described in detail with reference to the above-mentioned embodiments, it should be understood by those skilled in the art that various changes, modifications or equivalents of the embodiments of the present invention can be made by those skilled in the art after reading the present invention, but these changes, modifications or equivalents are within the protection scope of the appended claims.
Claims (10)
1. The utility model provides a distribution network active control system who contains wind heat unit which characterized in that: the system comprises a data interaction subsystem (1), an automatic control subsystem (2) and a distributed hybrid energy supply decision-making subsystem (3);
the data interaction subsystem (1) is used for establishing a wind-heat unit uploading data model, receiving power distribution network real-time operation data collected by a local-city-level power distribution automation main station platform, transmitting the power distribution network real-time operation data to a provincial dispatching system platform, receiving a wind-heat unit output curve calculated and output by the provincial dispatching system platform, and transmitting the power distribution network real-time operation data and the wind-heat unit output curve to the automatic control subsystem (2);
the automatic control subsystem (2) calculates an area regulating quantity S according to the real-time operation data of the power distribution network, distributes the area regulating quantity S to a conventional unit and an unconventional unit according to an equal proportion distribution algorithm of an ACE normal area, calculates an unconventional unit regulating quantity A and a conventional unit control instruction, and transmits the unconventional unit regulating quantity A to the distributed hybrid energy supply decision-making subsystem (3);
the distributed hybrid energy supply decision subsystem (3) distributes the regulation quantity A of the unconventional unit to the wind power photovoltaic unit and the wind power unit by adopting a coordinated optimization configuration and a multi-energy flow optimization control method containing the wind power unit according to the regulation quantity A of the unconventional unit, calculates the regulation quantity B of the wind power photovoltaic unit and the regulation quantity C of the wind power unit, distributes the regulation quantity B of the wind power photovoltaic unit to the wind power unit and the photovoltaic unit according to an equal proportion distribution method, distributes the regulation quantity C of the wind power unit to each wind power unit according to an equal proportion distribution method to obtain a wind power unit pre-instruction value, and transmits the wind power unit pre-instruction value to the automatic control subsystem (2);
the automatic control subsystem (2) is also used for verifying the wind-heat unit prearranged instruction value and the conventional unit control instruction, obtaining the wind-heat unit control instruction after verification and the conventional unit control instruction after verification, transmitting the wind-heat unit control instruction after verification and the conventional unit control instruction after verification to the data interaction subsystem (1), controlling the running state of the wind-heat unit and further feeding back the running state to the power distribution network.
2. The active control system for the power distribution network of the wind-heat-containing unit according to claim 1, characterized in that: the automatic control subsystem (2) is specifically used for distributing the area regulating quantity S according to an ACE normal area equal proportion distribution algorithm:
when the area regulating quantity S is smaller than the total regulating step length of the conventional unit, distributing all the area regulating quantities S to the conventional unit, and calculating to obtain the regulating quantity of the conventional unit, wherein the regulating quantity A of the unconventional unit is 0;
when the area regulating quantity S is larger than the sum of the regulating steps of the conventional unit, the regulating quantity of the conventional unit is the regulating step of the conventional unit, the instruction value of the conventional unit is the sum of the current output of the conventional unit and the regulating quantity of the conventional unit, and the regulating quantity A of the unconventional unit is the sum of the area regulating quantity S minus the regulating quantity of the conventional unit;
and the area adjustment quantity S is obtained by multiplying the area control deviation ACE in the real-time operation data of the power distribution network by an area power grid adjustment coefficient.
3. The active control system for the power distribution network of the wind-heat containing unit according to claim 1, characterized in that: the specific implementation method of the multi-energy flow optimization control method in the distributed hybrid energy supply decision subsystem (3) is as follows:
the distributed hybrid energy supply decision subsystem (3) distributes the unconventional unit regulating quantity A to the wind power photovoltaic unit and the wind power unit, and a control strategy which needs to be adopted is a section active control strategy;
the section active control strategy is that when the unconventional unit regulating quantity A is distributed to the wind power photovoltaic unit and the wind power unit under the section, the wind power unit and the photovoltaic unit generate electricity to the maximum extent on the premise of ensuring that the section is not out of limit;
the section comprises 1,2, a.and n layers of sections, the n layers of sections are the bottommost sections, the principle that the adjustment quantity A of the unconventional unit is used as the total adjustment quantity of the highest section to be distributed is that the adjustment quantity A of the unconventional unit is preferentially distributed to the wind power photovoltaic unit below the bottommost section, the distribution quantity of the wind power photovoltaic unit at the current bottommost section is calculated, the adjustment quantity A of the unconventional unit is subtracted from the distribution quantity of the wind power photovoltaic unit at the current bottommost section to obtain a residual adjustment quantity B ', the residual adjustment quantity B' is distributed to the wind power photovoltaic unit at the upper layer section until the distribution of the wind power photovoltaic units at all sections is completed, and the obtained final residual adjustment quantity is the adjustment quantity C of the wind power photovoltaic unit;
and the distribution amount of the wind power photovoltaic generator set of the current bottommost section is obtained by subtracting the active section power flow in the real-time operation data of the power distribution network from the section limit value in the real-time operation data of the power distribution network.
4. The active control system for the power distribution network of the wind-heat-containing unit according to claim 1, characterized in that: the method for acquiring the wind-heat unit prearranged instruction value by the distributed hybrid energy supply decision subsystem (3) comprises the following steps:
and distributing the wind-heat set regulating quantity C to each wind-heat set to obtain a regulating quantity C of each wind-heat set, wherein the prearranged value of each wind-heat set is the sum of the regulating quantity C of each wind-heat set and the current power of each wind-heat set.
5. The active control system for the power distribution network of the wind-heat-containing unit according to claim 1, characterized in that:
the automatic control subsystem (2) distributes the area regulating quantity S to a conventional unit and an unconventional unit, and the control strategy required to be adopted is an ACE partition control strategy;
the ACE partition control strategy divides a system state into a normal area, an emergency area and an out-of-limit area according to the size of real-time area control deviation issued by a superior scheduling mechanism, and when the area control deviation is in different intervals, the control strategies are different;
when the area control deviation is in a normal area, distributing the area regulating quantity S to a conventional unit and an unconventional unit according to an equal proportion distribution algorithm of an ACE normal area;
when the regional control deviation is in an emergency region, limiting the instruction value of a single unit under the section to the current output, wherein the instruction value of the single unit is the current output of the single unit;
and when the regional control deviation is in an out-of-limit region, distributing the regional adjustment quantity S to the conventional units under the cross section, and when the standby sum under the conventional units is smaller than the regional adjustment quantity S, distributing the residual adjustment quantity to the wind power photovoltaic units.
6. The active control system for the power distribution network of the wind-heat-containing unit according to claim 1, characterized in that:
when the distributed hybrid energy supply decision subsystem (3) distributes the wind power photovoltaic set regulating quantity B to the wind power set and the photovoltaic set according to an equal proportion distribution method, the wind power photovoltaic set regulating quantity B is the total regulating quantity, and the wind power set and the photovoltaic set are single-machine sets;
the distributed hybrid energy supply decision subsystem (3) distributes the wind heat unit regulating quantity C to each wind heat unit according to an equal proportion distribution method, wherein the wind heat unit regulating quantity C is the total regulating quantity, and the wind heat units are single machine units;
the specific implementation manner of the equal proportion distribution method is as follows:
step 1.1, calculating the total target output of all the units which can participate in mediation: the total target output is the sum of the current total output and the total regulating quantity;
step 1.2, calculating the load rate: the load factor is the percentage of the total target output in the step 1.1 to the total installed capacity;
step 1.3, calculating the instruction value of the single unit: the single unit instruction value is the product of the single unit installed capacity and the load rate output in the step 1.2; and the single machine set regulating quantity is obtained by subtracting the current single machine set output from the single machine set instruction value.
7. The active control system for the power distribution network of the wind-heat-containing unit according to claim 1, characterized in that:
when the distributed hybrid energy supply decision subsystem (3) distributes the wind power photovoltaic unit regulating quantity B to the wind power unit and the photovoltaic unit, and when the power generation capacity is insufficient, the distributed hybrid energy supply decision subsystem (3) optimizes the distribution of the wind power photovoltaic unit regulating quantity B, and the method adopted during optimization is a method for distributing according to the power generation capacity;
the specific implementation mode of the distribution method according to the power generation capacity is as follows:
and distributing the wind power photovoltaic set regulating quantity B to the wind power set and the photovoltaic set according to an equal proportion distribution method, and transferring the regulating quantity of the set of which the output cannot be increased continuously to the set of which the output can follow the instruction after 2 continuous instructions are issued, wherein the output cannot be increased continuously by tracking the instruction value.
8. The active control system for the power distribution network of the wind-heat containing unit according to claim 1, characterized in that:
when the automatic control subsystem (2) and the distributed hybrid energy supply decision-making subsystem (3) distribute the adjustment quantity, a scene-based control strategy is adopted;
the control scenes in the scene-based control strategy comprise conventional peak shaving, frequency modulation, emergency control and manual scheduling;
when the control scene is conventional peak shaving and frequency modulation, the automatic control subsystem (2) distributes the adjustment quantity of the conventional unit according to the unit installed capacity equal proportion distribution method;
when a control scene is emergency control, the automatic control subsystem (2) distributes the regulating variable of the conventional unit, the distributed hybrid energy supply decision subsystem (3) distributes the regulating variable A of the conventional unit, and the method for distributing the regional regulating variable S' of the automatic control subsystem (2) in the emergency control scene is as follows:
the regional regulating quantity S' is equal to an out-of-limit degree Y, and the out-of-limit degree is the active power of the section tide minus the limit value of the section;
when the regional regulating quantity S' is distributed in an emergency control scene, the regulating rates of the units are sorted from large to small, the regulating rate is distributed preferentially, and the distributing quantity of the units is the current output of the units minus the regulating lower limit of the units;
when the control scene is manual scheduling, a constant instruction value of a new energy sample trigger unit is set, the adjustment quantity of the new energy sample trigger unit is calculated, a constant instruction value of an important department wind-heat unit is set, the adjustment quantity of the important department wind-heat unit is calculated, when the adjustment quantity B of the wind-power photovoltaic unit and the adjustment quantity C of the wind-heat unit are distributed, the adjustment quantity B of the wind-power photovoltaic unit is subtracted by the adjustment quantity of the new energy sample trigger unit to obtain the adjustment quantity of the residual wind-power photovoltaic unit, the adjustment quantity C of the wind-heat unit is subtracted by the adjustment quantity C of the important department wind-heat unit to obtain the adjustment quantity of the residual wind-heat unit, and the adjustment quantity of the residual wind-power photovoltaic unit and the adjustment quantity of the residual wind-heat unit are distributed according to an equal proportion distribution method.
9. The active control system for the power distribution network of the wind-heat-containing unit according to claim 1, characterized in that:
the system also comprises a human-computer interaction subsystem (4), wherein the human-computer interaction subsystem (4) is used for providing a uniform operation environment and distributing different resources and different authorities according to the authorities of the responsibility areas of users; while providing a data service interface.
10. An active control method for a power distribution network containing a wind-heat unit is characterized by comprising the following steps: the method comprises the following steps:
step 1, establishing a wind-heat unit uploading data model, receiving power distribution network real-time operation data collected by a city-level distribution automation master station platform, transmitting the power distribution network real-time operation data to a provincial dispatching system platform, and receiving a wind-heat unit output curve calculated and output by the provincial dispatching system platform; the real-time operation data comprises a regional control deviation ACE, a conventional unit adjusting step length, a section limit value, a section trend active power, a unit output, a unit installed capacity, a unit adjusting rate and a unit adjusting lower limit;
step 2, calculating an area regulating quantity S according to the real-time operation data of the power distribution network, distributing the area regulating quantity S to a conventional unit and an unconventional unit according to an ACE normal area equal proportion distribution algorithm, and calculating an unconventional unit regulating quantity A and a conventional unit control instruction;
step 3, according to the adjustment quantity A of the unconventional unit, distributing the adjustment quantity A of the unconventional unit to the wind power photovoltaic unit and the wind power unit by adopting a coordinated optimization configuration and a multi-energy flow optimization control method of the wind power unit, calculating the adjustment quantity B of the wind power photovoltaic unit and the adjustment quantity C of the wind power unit, distributing the adjustment quantity B of the wind power photovoltaic unit to the wind power unit and the photovoltaic unit according to an equal proportion distribution method, and distributing the adjustment quantity C of the wind power unit to each wind power unit according to an equal proportion distribution method to obtain a wind power unit prearranged instruction value; and verifying the wind-heat unit prearranged instruction value and the conventional unit control instruction to obtain the verified wind-heat unit control instruction and the verified conventional unit control instruction.
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