CN115085283A - Multi-region control method and device for new energy and conventional energy - Google Patents
Multi-region control method and device for new energy and conventional energy Download PDFInfo
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- CN115085283A CN115085283A CN202210824212.6A CN202210824212A CN115085283A CN 115085283 A CN115085283 A CN 115085283A CN 202210824212 A CN202210824212 A CN 202210824212A CN 115085283 A CN115085283 A CN 115085283A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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Abstract
The invention discloses a multi-region control method and device for new energy and conventional energy. The multi-region control method for the new energy and the conventional energy comprises the following steps: establishing an AGC multi-region control model containing new energy and conventional energy, and dividing a power system into a plurality of sub-control regions according to the AGC multi-region control model; and for each sub-control area, setting an AGC sub-controller for the sub-control area so as to automatically control the power generation of the sub-control area by the AGC sub-controller. The invention can accurately carry out automatic power generation control by utilizing a plurality of AGC sub-controllers, and effectively maintain the safe and stable operation of a multi-region power grid.
Description
Technical Field
The invention relates to the technical field of power control, in particular to a multi-region control method and device for new energy and conventional energy.
Background
Automatic Generation Control (AGC) is an important component of energy management in modern power systems, and controls the output of a generator set to maintain the frequency of the power system and the exchange power of the inter-regional links at planned values, thereby making the power system operate most economically. The frequency of the power system is used as a key state variable of the safe operation of the modern power system, can reflect the active unbalance between power generation and load, is an important index for evaluating the power quality, and needs to monitor the frequency of the power system in real time. The basic task of frequency adjustment is to ensure the active power balance of the system by adjusting the generated power and the like, and maintain the frequency deviation within a preset range. With the increase of the interconnection scale of the regional power grid, the imbalance of the active power of the power system not only brings frequency deviation, but also may cause fluctuation of exchange power of the inter-regional tie lines, and the deviation between the actual output of the generator set and the power generation plan needs to be eliminated as much as possible by means of the power generation automatic control technology, so that the real-time balance of power generation and load is realized, and the safe and stable operation of the regional power grid is maintained.
Considering that the grid-connected wind power plant has the capacity of participating in frequency modulation, peak shaving and standby of a power system, the grid-connected wind power plant has active control capacity, and when the grid-connected wind power plant normally operates, in order to reserve certain standby capacity, the active control instruction value of the grid-connected wind power plant is often lower than the power generation capacity, and the actual power generation power of the grid-connected wind power plant tracks the active control instruction value. However, wind power has uncertainty and volatility, the generated power of the grid-connected wind power plant may not reach an active control instruction value in a certain period, and no reserve capacity exists, and the actual generated power of the grid-connected wind power plant is the generated power. Because the disturbance source of the frequency of the regional power system has load disturbance and active output disturbance of the grid-connected wind power plant, the automatic power generation control system is a complex comprehensive automatic control system, and the complexity of the automatic power generation control system is increased by grid connection of the wind power cluster.
The traditional automatic power generation control method is a remote closed-loop control system which is established on an energy control system, a dispatching automation system or a generator set coordination control system which takes a computer as a core and is connected through a high-reliability information transmission system, and the basic principle and the function of the traditional automatic power generation control method are that instructions are sent to a relevant power plant or a relevant generator set according to a control target of a power grid dispatching center, and the power of a generator is automatically controlled through the control system of the power plant or the generator set. However, since new energy is incorporated, and characteristics of new energy for grid connection in each area are different, including power, frequency and the like, so that characteristic sequences such as loads and the like of an electric power system are changed, on one hand, an independent electric power system must meet the requirements of balance of supply and demand of electric energy, maintain normal frequency, guarantee and control the quality of internal electric energy, meet the requirements of combining the new energy with conventional energy, and also guarantee that exchange power of a tie line runs according to a trading plan, and strengthen the control capability of the tie line, so that the whole system can run coordinately and stably, and therefore, the requirements of safety, high quality, coordination and economic running are difficult to guarantee by singly relying on the original AGC for the conventional energy. In addition, as new energy such as wind energy and light energy is incorporated into a power grid in a large scale, the randomness and the volatility of the new energy cause great impact on an interconnected power system, and difficulty is caused in frequency control. In conclusion, a single AGC controller cannot accurately perform automatic power generation control, and it is difficult to effectively maintain safe and stable operation of a multi-region power grid.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a multi-region control method and a multi-region control device for new energy and conventional energy, which can accurately perform automatic power generation control by utilizing a plurality of AGC sub-controllers and effectively maintain the safe and stable operation of a multi-region power grid.
In order to solve the above technical problem, in a first aspect, an embodiment of the present invention provides a multi-region control method for new energy and conventional energy, including:
establishing an AGC multi-region control model containing new energy and conventional energy, and dividing a power system into a plurality of sub-control regions according to the AGC multi-region control model;
and for each sub-control area, setting an AGC sub-controller for the sub-control area so as to automatically control the power generation of the sub-control area by the AGC sub-controller.
Further, for each sub-control area, an AGC sub-controller is set for the sub-control area, specifically:
and setting one AGC sub-controller for the sub-control area based on a model predictive control algorithm.
Further, the automatic power generation control of the sub-control area by the AGC sub-controller specifically includes:
calculating the total active power change amount required by the frequency modulation of all generator sets in the sub-control area at the current moment according to the frequency deviation of the power system and the exchange power deviation of the tie line; wherein, all the generator sets comprise a plurality of new energy generator sets and a plurality of conventional energy generator sets;
combining the predicted active power of each new energy generator set at the current moment and the active output state of each conventional energy generator set, taking maximum utilization of new energy power generation as an optimization target, and distributing the total active power change amount to obtain the active power change amount of each generator set;
and respectively generating an active power control instruction according to the active power variable quantity of each generator set, and distributing all the active power control instructions to the corresponding generator sets to enable each generator set to regulate the active power according to the received active power control instructions.
Further, the automatic power generation control of the sub-control area by the AGC sub-controller specifically includes:
after each new energy generator set adjusts the active power, monitoring the actual active power of each new energy generator set;
calculating an AGC control error of each new energy generator set according to the actual active power of each new energy generator set;
and correcting the predicted active power of each new energy generator set at the next moment according to the AGC control error of each new energy generator set.
Further, the AGC sub-controller performs automatic power generation control on the sub-control area, specifically:
and acquiring an optimal control sequence of the AGC sub-controller, and carrying out automatic power generation control on the sub-control area by the AGC sub-controller according to the optimal control sequence.
Further, the obtaining of the optimal control sequence of the AGC sub-controller specifically includes:
and calculating the optimal control sequence of the AGC sub-controller based on a Nash equilibrium optimization algorithm.
In a second aspect, an embodiment of the present invention provides a multi-zone control apparatus for new energy and conventional energy, including:
the system comprises a partitioning module, a power supply module and a control module, wherein the partitioning module is used for establishing an AGC multi-region control model containing new energy and conventional energy and dividing a power system into a plurality of sub-control regions according to the AGC multi-region control model;
and the control module is used for setting an AGC sub-controller for each sub-control area so as to automatically control the power generation of the sub-control area by the AGC sub-controller.
Further, the control module comprises an AGC sub-controller setting unit;
and the AGC sub-controller setting unit is used for setting one AGC sub-controller for the sub-control area based on a model predictive control algorithm.
Further, the control module comprises a regional automatic power generation control unit;
the regional automatic generation control unit is used for:
calculating the total active power change amount required by the frequency modulation of all generator sets in the sub-control area at the current moment according to the frequency deviation of the power system and the exchange power deviation of the tie line; wherein, all the generator sets comprise a plurality of new energy generator sets and a plurality of conventional energy generator sets;
combining the predicted active power of each new energy generator set at the current moment and the active output state of each conventional energy generator set, taking maximum utilization of new energy power generation as an optimization target, and distributing the total active power change amount to obtain the active power change amount of each generator set;
and respectively generating an active power control instruction according to the active power variable quantity of each generator set, and distributing all the active power control instructions to the corresponding generator sets to enable each generator set to regulate the active power according to the received active power control instructions.
Further, the regional automatic generation control unit is further configured to:
after each new energy generator set adjusts the active power, monitoring the actual active power of each new energy generator set;
calculating an AGC control error of each new energy generator set according to the actual active power of each new energy generator set;
and correcting the predicted active power of each new energy generator set at the next moment according to the AGC control error of each new energy generator set.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
through establishing the AGC multizone control model that contains the new forms of energy and conventional energy, according to AGC multizone control model, divide electric power system into a plurality of sub-control area, to each sub-control area, set up an AGC sub-controller for sub-control area, carry out automatic power generation control by the AGC sub-controller to sub-control area, can utilize all AGC sub-controllers to carry out automatic power generation control according to the regional electric power system that contains the new forms of energy and conventional energy, ensure that electric power system frequency and interregional tie line exchange power maintain at the plan value, thereby realize utilizing a plurality of AGC sub-controllers to carry out automatic power generation control accurately, effectively maintain the safe and stable operation of multizone electric wire netting.
Drawings
Fig. 1 is a schematic flow chart of a multi-zone control method for new energy and conventional energy according to a first embodiment of the present invention;
fig. 2 is a data flow diagram illustrating automatic power generation control of a sub-control area by an AGC sub-controller according to an example in the first embodiment of the present invention;
fig. 3 is a schematic structural diagram of an exemplary control system in a first embodiment of the present invention;
fig. 4 is a schematic structural diagram of a multi-zone control device for new energy and conventional energy according to a second embodiment of the present invention.
Detailed Description
The technical solutions in the present invention will be described clearly and completely with reference to the accompanying drawings, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that, the step numbers in the text are only for convenience of explanation of the specific embodiments, and do not serve to limit the execution sequence of the steps. The method provided by the embodiment can be executed by the relevant terminal device, and the following description takes a processor as an execution subject as an example.
As shown in fig. 1, the first embodiment provides a multi-zone control method for new energy and conventional energy, including steps S1 to S2:
s1, establishing an AGC multi-region control model containing new energy and conventional energy, and dividing the power system into a plurality of sub-control regions according to the AGC multi-region control model;
and S2, setting an AGC sub-controller for each sub-control area, and performing automatic power generation control on the sub-control areas by the AGC sub-controllers.
It should be noted that New Energy (NE) is also called unconventional energy, which refers to various energy forms other than traditional energy, including solar energy, wind energy, biomass energy, tidal energy, geothermal energy, hydrogen energy, nuclear energy, and other energy sources; conventional energy sources include coal, oil, natural gas, water energy and other energy sources.
Illustratively, in step S1, an AGC multi-region control model including a new energy source and a conventional energy source is established, and a power system including the new energy source and the conventional energy source is divided into several sub-control regions according to the AGC multi-region control model.
Specifically, in the AGC multi-zone control model, the dynamic model of a certain zone includes that the zone is connected with other zones through connecting lines, and each component in the zone is represented by adopting a continuous time model transfer function, wherein the zone includes a generator which can be simplified to be represented by a prime mover and a single equivalent generator, and the continuous time model is established by adopting an interconnected power grid state equation formed by n zones and represented as:
dx(t)/dt=Ax(t)+Bu(t);
y(t)=Cx(t); (1)
wherein u (t), y (t), x (t) are input vector (each area is complex change), output vector, status vector in continuous time system, t is time, A is weight coefficient of status vector in continuous time system, B is weight coefficient of input vector in continuous time system, C is proportionality coefficient of output vector and status vector in continuous time system.
Then, the initial continuous time system corresponding to the initial continuous time model is converted into a discrete time system after sampling, and the approximation equation is used for converting the equation (1) into a discretization form, namely:
[dx(t)/dt]t->kT={x[(k+1)T-x(kT)}/T;
x(k+1)=Fx(k)+Gu(k);
y(k)=Hx(k); (2)
in the formula (2), for simplifying the flags, the sampling period T is omitted, k is the serial number of the discrete sequence in the discrete time system, F is the weight coefficient of the state vector in the discrete time system, G is the weight coefficient of the input vector in the discrete time system, and H is the proportionality coefficient between the output vector and the state vector in the discrete time system.
According to the AGC multi-region control model, regions belonging to the same continuous time model are divided into the same sub-control region, and a plurality of sub-control regions are obtained.
In step S2, an AGC sub-controller is set for each sub-control area, and a plurality of AGC sub-controllers are obtained, and each AGC sub-controller performs automatic power generation control on its corresponding sub-control area.
This embodiment can utilize all AGC sub-controllers to carry out automatic power generation control according to the regional electric power system who contains the new forms of energy and conventional energy, ensures that electric power system frequency and interregional tie line exchange power maintain at the plan value to the realization utilizes a plurality of AGC sub-controllers to carry out automatic power generation control accurately, effectively maintains the safety and stability operation of multizone electric wire netting.
In a preferred embodiment, for each sub-control area, an AGC sub-controller is set for the sub-control area, specifically: and setting an AGC sub-controller for the sub-control area based on a model predictive control algorithm.
Illustratively, the model predictive control algorithm comprises three parts of predictive model establishment, online rolling optimization and real-time feedback correction. For each sub-control area, an AGC sub-controller capable of executing a 'prediction-optimization-correction' automatic power generation control process is set by adopting a Model Predictive Control (MPC) algorithm.
The model predictive control algorithm is used as a novel computer control algorithm of an industrial control process and comprises three parts of predictive model establishment, online rolling optimization and real-time feedback correction, so that the set AGC sub-controller has the characteristics of high robustness, good control effect, strong self-adaptive capacity and low requirement on model precision.
In the embodiment, the model predictive control algorithm is adopted to set one AGC sub-controller for each sub-control area, so that the multi-area control effect of new energy and conventional energy can be improved.
In a preferred embodiment, the automatic power generation control of the sub-control area by the AGC sub-controller specifically includes: calculating the total active power change amount required by the frequency modulation of all generator sets in the sub-control area at the current moment according to the frequency deviation of the power system and the exchange power deviation of the tie line; wherein, all the generator sets comprise a plurality of new energy generator sets and a plurality of conventional energy generator sets; the predicted active power of each new energy generator set and the active output state of each conventional energy generator set at the current moment are combined to maximize the utilization of new energy power generation as an optimization target, the total active power change amount is distributed, and the active power change amount of each generator set is obtained; and respectively generating an active power control instruction according to the active power variable quantity of each generator set, and distributing all the active power control instructions to the corresponding generator sets to enable the generator sets to regulate the active power according to the received active power control instructions.
In a preferred embodiment, the performing, by the AGC sub-controller, automatic power generation control on the sub-control area specifically further includes: after each new energy generator set adjusts the active power, monitoring the actual active power of each new energy generator set; respectively calculating an AGC control error of each new energy generator set according to the actual active power of each new energy generator set; and correcting the predicted active power of each new energy generator set at the next moment according to the AGC control error of each new energy generator set.
As shown in fig. 2, as an example, it is assumed that the new energy generating set in a certain sub-control area is a wind generating set, and the conventional energy generating set is a thermal generating set.
Considering that the frequency instability of the power system is caused by the disturbance of load disturbance and the fluctuation of the active power of the wind power plant, and the frequency fluctuation is large, the AGC controller corresponding to the sub-control area calculates the total amount of active power change required by the frequency modulation of all the generator sets in the sub-control area at the current moment according to the frequency deviation of the power system and the exchange power deviation of the tie lines.
The AGC sub-controller can acquire Control signals of information such as frequency, generator set output power, tie line exchange power And the like of an area where the power system is located through a Data Acquisition And monitoring Control System (SCADA), analyzes And calculates the Control signals to obtain frequency deviation And tie line exchange power deviation of the power system, And provides basic conditions for ultra-short-term load prediction And multi-target optimization technology application.
The AGC sub-controller can calculate ACE1(Area Control Error, ACE, regional Control deviation) according to frequency deviation of an electric power system and tie line exchange power deviation, ACE2 is obtained through general telemetering data (issued after calculation of a superior scheduling mechanism), ACE1 and ACE2 are mutually reserved, priority is defined according to respective power grid requirements, the automatic frequency modulation Control system has the function of manually switching two ACE values, 2 issued by a network dispatcher or calculated ACE1 issued by the network dispatcher is determined according to ACE switching conditions, the selected ACE is used as statistical ACE for counting adjustment indexes of active power needing frequency modulation of all generator sets in the sub-Control region at the current moment, the statistical mode is a secondary statistical mode, namely, time deviation correction quantity and tie line accumulated electric quantity correction quantity are respectively counted, integration summation is carried out, and the total active power change quantity needed by frequency modulation of all the generator sets is obtained. And the current moment realizes that AGC automatically corrects the deviation between the electric clock time and the GPS time by obtaining the mode of considering time difference correction, unintentionally exchanged electric quantity correction and manually specified exchange plan offset in statistical ACE, thereby correcting the clock error generated by frequency deviation and the active power change deviation generated by unintentionally exchanged electric connection when the net exchange power deviates from the plan in time.
After the AGC sub-controller obtains the active power change total amount, the reserve capacity of each wind power plant in a period of time in the future is judged according to the predicted active power of each wind power generating unit at the current moment, the active output state of the thermal power generating unit at the current moment is considered, wind power generation is utilized to the maximum extent, the output of the thermal power generating unit is reduced to serve as an optimization target, the active power change total amount is distributed, and the active power change amount of each generating unit is obtained.
After each new energy generator set adjusts the active power, the AGC sub-controller also monitors the actual active power of each new energy generator set, calculates the AGC control error of each new energy generator set according to the actual active power of each new energy generator set, and corrects the predicted active power of each new energy generator set at the next moment according to the AGC control error of each new energy generator set.
This embodiment can utilize all AGC sub-controllers to carry out automatic power generation control according to the regional electric power system who contains the new forms of energy and conventional energy, ensures that electric power system frequency and interregional tie line exchange power maintain at the plan value to the realization utilizes a plurality of AGC sub-controllers to carry out automatic power generation control accurately, effectively maintains the safety and stability operation of multizone electric wire netting.
In a preferred embodiment, the AGC sub-controller performs automatic power generation control on the sub-control area, specifically: and obtaining an optimal control sequence of the AGC sub-controller, and carrying out automatic power generation control on the sub-control area by the AGC sub-controller according to the optimal control sequence.
In a preferred embodiment, the obtaining of the optimal control sequence of the AGC sub-controller specifically includes: and calculating the optimal control sequence of the AGC sub-controller based on a Nash equilibrium optimization algorithm.
As an example, the area where the power system including the new energy and the conventional energy is located is divided into a plurality of sub-control areas, which is equivalent to the area where the power system including the new energy and the conventional energy is divided into N sub-systems, each sub-system has one AGC sub-controller, the optimization calculation of an overall system can be divided into a plurality of sub-systems to perform parallel optimization calculation to obtain an optimal control sequence, and the calculation time can be effectively reduced while the control accuracy is ensured.
When the optimal control sequence is solved, the distributed model predictive control method decomposes the online optimization problem of the whole system into the online optimization problems of a plurality of sub-control areas, and each sub-control area needs to consider not only the state quantity and the control quantity of the area but also the influence of the state quantity and the control quantity of the other connected sub-control areas on the area in calculation.
The method adopts a Nash equilibrium optimization algorithm for calculation, the Nash equilibrium optimization algorithm is a non-cooperative game algorithm, and the basic idea is that each sub-control area calculates the own optimal control sequence on the premise of assuming that the control quantity of the rest sub-control areas is the optimal control quantity, the optimal control sequences communicate information with the rest sub-control areas through a network communication environment, and iteration is repeated until the optimal control sequences of all the sub-control areas meet the terminal iteration condition, namely the error of an iteration result meets the given precision, and the whole system reaches Nash equilibrium.
The specific implementation process of the nash equalization optimization algorithm is as follows:
1. for a certain sub-control area, estimating an initial optimal solution at the moment k, and solving a self Nash optimal solution on the basis of knowing the estimated optimal solutions of the rest sub-control areas;
2. each sub-control area compares the newly solved optimal solution with the optimal solution calculated last time, judges whether the error of the twice iterative optimal solution meets a certain precision, if so, the algorithm is convergent, the system can reach Nash balance after the iteration, namely the optimal solution solved by each sub-control area meets the Nash optimality condition, the operation of the third step is continued, otherwise, the operation of the first step and the second step is repeated by other sub-control areas;
3. and mutually reporting the new optimal solutions through a network, calculating the iteration error again, and finishing the iteration if the iteration error of each sub-control area can meet the given precision.
To more clearly illustrate the multi-zone control method for new energy and conventional energy provided by the first embodiment, a processor executing the multi-zone control method for new energy and conventional energy may be disposed in a control system. The schematic structural diagram of the control system is shown in fig. 3, and the hardware of the control system mainly comprises an acquisition server, an AGC main station server and a workstation. The acquisition server performs data interaction with an offshore wind farm, the workstation realizes the functions of operation, maintenance, data monitoring control, data display and the like of a control system, and the AGC master station server realizes the functions of data processing, data storage, control logic processing and the like.
By applying the multi-region control method for the new energy and the conventional energy provided by the first embodiment, the following aims can be achieved:
1. maintaining the frequency of the power system within an allowable range, and the frequency offset accumulated error is within a correctable allowable range;
2. controlling the exchange power of the junctor to operate according to a planned value, wherein the accumulated error of the exchange power causes the unintentional exchange power to be within a repayable limit value;
3. under the condition of meeting the power grid safety constraint condition, the power grid frequency and the external net exchange power plan, the AGC offshore unit power plant coordinated and involved in regulation meets the market trading and economic dispatching principle for optimal operation.
Based on the same inventive concept as the first embodiment, the second embodiment provides a multi-zone control apparatus of new energy and conventional energy as shown in fig. 4, including: the partition module 21 is used for establishing an AGC multi-region control model containing new energy and conventional energy, and dividing the power system into a plurality of sub-control regions according to the AGC multi-region control model; and the control module 22 is used for setting an AGC sub-controller for each sub-control area so as to automatically control the power generation of the sub-control area by the AGC sub-controller.
In the preferred embodiment, the control module 22 includes an AGC sub-controller setting unit; and the AGC sub-controller setting unit is used for setting an AGC sub-controller for the sub-control area based on a model predictive control algorithm.
In a preferred embodiment, the control module 22 includes a regional automatic generation control unit; a regional automatic generation control unit for: calculating the total active power change amount required by the frequency modulation of all generator sets in the sub-control area at the current moment according to the frequency deviation of the power system and the exchange power deviation of the tie line; wherein, all the generator sets comprise a plurality of new energy generator sets and a plurality of conventional energy generator sets; the predicted active power of each new energy generator set and the active output state of each conventional energy generator set at the current moment are combined to maximize the utilization of new energy power generation as an optimization target, the total active power change amount is distributed, and the active power change amount of each generator set is obtained; and respectively generating an active power control instruction according to the active power variable quantity of each generator set, and distributing all the active power control instructions to the corresponding generator sets to enable the generator sets to regulate the active power according to the received active power control instructions.
In a preferred embodiment, the regional automatic generation control unit is further configured to: after each new energy generator set adjusts the active power, monitoring the actual active power of each new energy generator set; respectively calculating an AGC control error of each new energy generator set according to the actual active power of each new energy generator set; and correcting the predicted active power of each new energy generator set at the next moment according to the AGC control error of each new energy generator set.
In the preferred embodiment, the control module 22 includes a regional automatic generation control unit; and the area automatic power generation control unit is used for acquiring the optimal control sequence of the AGC sub-controller so as to automatically control the power generation of the sub-control area by the AGC sub-controller according to the optimal control sequence.
In a preferred embodiment, the regional automatic generation control unit is configured to calculate an optimal control sequence for the AGC subcontroller based on a nash equalization optimization algorithm.
In summary, the embodiment of the present invention has the following advantages:
through establishing the AGC multizone control model that contains the new forms of energy and conventional energy, according to AGC multizone control model, divide electric power system into a plurality of sub-control area, to each sub-control area, set up an AGC sub-controller for sub-control area, carry out automatic power generation control by the AGC sub-controller to sub-control area, can utilize all AGC sub-controllers to carry out automatic power generation control according to the regional electric power system that contains the new forms of energy and conventional energy, ensure that electric power system frequency and interregional tie line exchange power maintain at the plan value, thereby realize utilizing a plurality of AGC sub-controllers to carry out automatic power generation control accurately, effectively maintain the safe and stable operation of multizone electric wire netting.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
It will be understood by those skilled in the art that all or part of the processes of the above embodiments may be implemented by hardware related to instructions of a computer program, and the computer program may be stored in a computer readable storage medium, and when executed, may include the processes of the above embodiments. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Claims (10)
1. A multi-region control method for new energy and conventional energy is characterized by comprising the following steps:
establishing an AGC multi-region control model containing new energy and conventional energy, and dividing a power system into a plurality of sub-control regions according to the AGC multi-region control model;
and for each sub-control area, setting an AGC sub-controller for the sub-control area so as to automatically control the power generation of the sub-control area by the AGC sub-controller.
2. The multi-zone control method for new energy and conventional energy according to claim 1, wherein for each of the sub-control zones, an AGC sub-controller is provided for the sub-control zone, specifically:
and setting one AGC sub-controller for the sub-control area based on a model predictive control algorithm.
3. The multi-zone control method for new energy and conventional energy according to claim 1, wherein the automatic power generation control of the sub-control zones by the AGC sub-controller comprises:
calculating the total active power change amount required by the frequency modulation of all generator sets in the sub-control area at the current moment according to the frequency deviation of the power system and the exchange power deviation of the tie line; wherein, all the generator sets comprise a plurality of new energy generator sets and a plurality of conventional energy generator sets;
combining the predicted active power of each new energy generator set at the current moment and the active output state of each conventional energy generator set to maximally utilize new energy power generation as an optimization target, and distributing the total active power change amount to obtain the active power change amount of each generator set;
and respectively generating an active power control instruction according to the active power variable quantity of each generator set, and distributing all the active power control instructions to the corresponding generator sets to enable each generator set to regulate the active power according to the received active power control instructions.
4. The multi-zone control method for new energy and conventional energy according to claim 3, wherein the AGC sub-controller performs automatic power generation control on the sub-control zones, and further comprising:
after each new energy generator set adjusts the active power, monitoring the actual active power of each new energy generator set;
calculating an AGC control error of each new energy generator set according to the actual active power of each new energy generator set;
and correcting the predicted active power of each new energy generator set at the next moment according to the AGC control error of each new energy generator set.
5. The multi-zone control method for new energy and conventional energy according to claim 1, wherein the sub-control zones are automatically controlled by the AGC sub-controller to generate power, specifically:
and acquiring an optimal control sequence of the AGC sub-controllers, and carrying out automatic power generation control on the sub-control areas by the AGC sub-controllers according to the optimal control sequence.
6. The multi-zone control method for new energy and conventional energy according to claim 5, wherein the obtaining of the optimal control sequence of the AGC sub-controller is specifically:
and calculating the optimal control sequence of the AGC sub-controller based on a Nash equilibrium optimization algorithm.
7. A multi-zone control apparatus for new energy and conventional energy, comprising:
the system comprises a partitioning module, a power supply module and a control module, wherein the partitioning module is used for establishing an AGC multi-region control model containing new energy and conventional energy and dividing a power system into a plurality of sub-control regions according to the AGC multi-region control model;
and the control module is used for setting an AGC sub-controller for each sub-control area so as to automatically control the power generation of the sub-control area by the AGC sub-controller.
8. The multi-zone control device for new and conventional energy sources of claim 7 wherein the control module includes an AGC sub-controller setting unit;
and the AGC sub-controller setting unit is used for setting one AGC sub-controller for the sub-control area based on a model predictive control algorithm.
9. The multi-zone control device for new and conventional energy sources of claim 7, wherein the control module comprises a zone automatic generation control unit;
the regional automatic generation control unit is used for:
calculating the total active power change amount required by the frequency modulation of all generator sets in the sub-control area at the current moment according to the frequency deviation of the power system and the exchange power deviation of the tie line; wherein, all the generator sets comprise a plurality of new energy generator sets and a plurality of conventional energy generator sets;
combining the predicted active power of each new energy generator set at the current moment and the active output state of each conventional energy generator set to maximally utilize new energy power generation as an optimization target, and distributing the total active power change amount to obtain the active power change amount of each generator set;
and respectively generating an active power control instruction according to the active power variable quantity of each generator set, and distributing all the active power control instructions to the corresponding generator sets to enable each generator set to regulate the active power according to the received active power control instructions.
10. The multi-zone control apparatus for new energy and conventional energy according to claim 9, wherein the zone automatic generation control unit is further configured to:
after each new energy generator set adjusts the active power, monitoring the actual active power of each new energy generator set;
calculating an AGC control error of each new energy generator set according to the actual active power of each new energy generator set;
and correcting the predicted active power of each new energy generator set at the next moment according to the AGC control error of each new energy generator set.
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