CN117117933A - Active power regulation and control method, system, equipment and storage medium for offshore wind power source - Google Patents

Active power regulation and control method, system, equipment and storage medium for offshore wind power source Download PDF

Info

Publication number
CN117117933A
CN117117933A CN202311058553.8A CN202311058553A CN117117933A CN 117117933 A CN117117933 A CN 117117933A CN 202311058553 A CN202311058553 A CN 202311058553A CN 117117933 A CN117117933 A CN 117117933A
Authority
CN
China
Prior art keywords
power
period
long
distribution network
optimization
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311058553.8A
Other languages
Chinese (zh)
Inventor
陈德扬
秦颖婕
樊玮
陈锦昌
王延纬
刘宇
苗璐
王馨尉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Power Grid Co Ltd
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
Original Assignee
Guangdong Power Grid Co Ltd
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Power Grid Co Ltd, Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd filed Critical Guangdong Power Grid Co Ltd
Priority to CN202311058553.8A priority Critical patent/CN117117933A/en
Publication of CN117117933A publication Critical patent/CN117117933A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H02J3/144Demand-response operation of the power transmission or distribution network
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/241The oscillation concerning frequency
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/40Synchronising a generator for connection to a network or to another generator
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48Controlling the sharing of the in-phase component
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02PCONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P9/00Arrangements for controlling electric generators for the purpose of obtaining a desired output
    • H02P9/10Control effected upon generator excitation circuit to reduce harmful effects of overloads or transients, e.g. sudden application of load, sudden removal of load, sudden change of load
    • H02P9/102Control effected upon generator excitation circuit to reduce harmful effects of overloads or transients, e.g. sudden application of load, sudden removal of load, sudden change of load for limiting effects of transients
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02PCONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P9/00Arrangements for controlling electric generators for the purpose of obtaining a desired output
    • H02P9/10Control effected upon generator excitation circuit to reduce harmful effects of overloads or transients, e.g. sudden application of load, sudden removal of load, sudden change of load
    • H02P9/105Control effected upon generator excitation circuit to reduce harmful effects of overloads or transients, e.g. sudden application of load, sudden removal of load, sudden change of load for increasing the stability
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/28The renewable source being wind energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02PCONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P2101/00Special adaptation of control arrangements for generators
    • H02P2101/15Special adaptation of control arrangements for generators for wind-driven turbines

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The application relates to the technical field of power regulation and control of a power grid, and discloses a method, a system, equipment and a storage medium for regulating and controlling active power of a marine wind power source, which comprise the steps of dividing a period of a power distribution network into a plurality of long periods according to a multi-time scale distribution rule, and dividing each long period into a plurality of short periods; acquiring power parameters of a power distribution network, performing long-period optimization on the power distribution network according to the power parameters and a long-period control target, and performing short-period optimization on the power distribution network according to a short-period control target; and updating the power parameters according to a short-period optimization result, and continuing to perform long-period optimization on the power distribution network according to the updated power parameters and the long-period control target until the long-period optimization is finished. The application can effectively maintain the balance of active power in the network of the offshore wind power generation system through the coordination control of active power of the source load, and improve the running reliability of the power distribution network.

Description

Active power regulation and control method, system, equipment and storage medium for offshore wind power source
Technical Field
The application relates to the technical field of power regulation and control of power grids, in particular to a method, a system, equipment and a storage medium for regulating and controlling active power of a marine wind power source.
Background
New energy as renewable energy and clean energy have a higher proportion in power generation. Large-scale photovoltaic power generation fields and wind power generation fields are built in the open northwest areas of China, and a large amount of land resources are occupied although the shortage of electric energy is supplemented. Meanwhile, the concentrated electricity consumption in China is mainly distributed in eastern coastal areas. Therefore, most of the electric energy produced in the northwest region is transported to the eastern coastal region through long cables, the input cost is huge, the electric energy is more lost in long-distance transportation, and the land resource and the electric power resource are wasted to a certain extent.
The coastline of the eastern coastal region of China is long, the offshore wind speed is high, and the wind power quality is good, so that the offshore wind power generation field is built in the coastal region gradually, the generated electric energy can be directly supplied to nearby users and enterprises for use, and the redundant electric energy can be stored in an energy storage system or transmitted to an alternating current power grid, so that the waste of land resources is effectively reduced, the transmission cost, the electric energy loss and the environmental pollution are reduced, and the sustainable development is realized. With more and more offshore wind power systems integrated into an alternating current power grid for operation, how to efficiently and effectively control power balance in a power distribution network and realize autonomous regulation of the power distribution network is a problem to be solved at present.
Disclosure of Invention
In order to solve the technical problems, the application provides a method, a system, equipment and a storage medium for regulating and controlling active power of an offshore wind power source, which can solve the problem that power balance in a power distribution network cannot be controlled efficiently, so that the running reliability of the power distribution network is effectively improved.
In a first aspect, the application provides a method for regulating and controlling active power of a load of an offshore wind power source, which comprises the following steps:
dividing a power distribution network period into a plurality of long periods according to a multi-time scale distribution rule, and dividing each long period into a plurality of short periods;
acquiring power parameters of a power distribution network, performing long-period optimization on the power distribution network according to the power parameters and a long-period control target, and performing short-period optimization on the power distribution network according to a short-period control target;
and updating the power parameters according to a short-period optimization result, and continuing to perform long-period optimization on the power distribution network according to the updated power parameters and the long-period control target until the long-period optimization is finished.
Further, the step of performing short-period optimization on the active power of the power distribution network according to the short-period control target includes:
according to the power parameter and the short period control target, calculating to obtain an optimal power sharing proportion in a short period, wherein the optimal power sharing proportion comprises a power grid side power sharing proportion and a fan side power sharing proportion;
and transmitting the power of the power grid side to the load side according to the power sharing proportion of the power grid side, and transmitting the power of the fan side to the load side according to the power sharing proportion of the fan side.
Further, the step of delivering the fan side power to the load side according to the fan side power sharing ratio includes:
acquiring a current electricity price and a current average electricity price, and judging whether the current electricity price is smaller than the current average electricity price or not;
if yes, power generated by the offshore wind turbine is transmitted to a load side, and energy storage equipment at the wind turbine side is charged; and otherwise, jointly transmitting the power generated by the offshore wind turbine and the power stored by the energy storage equipment to a load side.
Further, the long-period control target includes a first long-period target function and a second long-period target function;
wherein the first long period objective function is expressed using the following formula:
Y 1 =minP grid
wherein Y is 1 To minimize in-network loss, P grid The network loss is the intra-network loss of the power distribution network;
the second long period objective function is expressed using the following formula:
wherein Y is 2 For regional power consumption economy in the period of the power distribution network, n is the number of long periods in the period of the power distribution network, and P gi And P WTi Respectively outputting a power grid in the ith long period and an offshore wind turbine, S gi And S is WTi The average price of the power grid and the average price of the offshore wind power generation in the ith long period are respectively.
Further, the short-period control target is expressed by the following formula:
wherein Y is 3 To supplement the total cost of load side power shortage ΔW i jAnd->The method comprises the steps of respectively determining a load power missing part of the jth short period in the ith long period, a power sharing proportion transmitted to the load side by a power grid side, a power cost average price of the power grid and a power cost average price of offshore wind power generation, wherein n is the number of the long periods in the period of the power distribution network, and m is the number of the short periods in one long period.
In a second aspect, the present application provides an offshore wind power source load active power regulation system, the system comprising:
the period distribution model is used for dividing the period of the power distribution network into a plurality of long periods according to a multi-time scale distribution rule, and dividing each long period into a plurality of short periods;
the power distribution system comprises a first period optimization model, a second period optimization model and a third period optimization model, wherein the first period optimization model is used for acquiring power parameters of a power distribution network, performing long period optimization on the power distribution network according to the power parameters and a long period control target, and performing short period optimization on the power distribution network according to a short period control target;
and the second period optimization model is used for updating the power parameters according to a short period optimization result, and continuously optimizing the power distribution network for a long period according to the updated power parameters and the long period control target until the long period optimization is finished.
Further, the first period optimization model further comprises a proportion calculation model and an optimization execution model;
the proportion calculation model is used for calculating to obtain the optimal power sharing proportion in a short period according to the electric power parameter and the short period control target, wherein the optimal power sharing proportion comprises a power grid side power sharing proportion and a fan side power sharing proportion;
and the optimization execution model is used for transmitting the power of the power grid side to the load side according to the power sharing proportion of the power grid side and transmitting the power of the fan side to the load side according to the power sharing proportion of the fan side.
Further, the optimization execution model further comprises an energy storage charging and discharging model;
the energy storage charge-discharge model is used for acquiring current electricity price and current average electricity price and judging whether the current electricity price is smaller than the current average electricity price or not; if yes, power generated by the offshore wind turbine is transmitted to a load side, and energy storage equipment at the wind turbine side is charged; and otherwise, jointly transmitting the power generated by the offshore wind turbine and the power stored by the energy storage equipment to a load side.
In a third aspect, embodiments of the present application further provide a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.
In a fourth aspect, embodiments of the present application also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above method.
The application provides a method, a system, equipment and a storage medium for regulating active power of a marine wind power source. By the method, long-period optimization and short-period optimization are combined, and source load active power is coordinated and controlled through a coordination optimization strategy, so that active power balance in a network of the offshore wind power generation system can be maintained efficiently, and the running reliability of the power distribution network is effectively improved.
Drawings
FIG. 1 is a schematic flow chart of a method for regulating active power of an offshore wind power supply according to an embodiment of the application;
FIG. 2 is a schematic diagram of a topology of a power distribution network in an embodiment of the present application;
FIG. 3 is a schematic flow chart of another method for regulating active power of offshore wind power supply according to an embodiment of the application;
FIG. 4 is a schematic diagram of a system for regulating active power of an offshore wind power supply according to an embodiment of the application;
fig. 5 is an internal structural view of a computer device in an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, a method for regulating active power of an offshore wind power source according to a first embodiment of the present application includes steps S10 to S30:
step S10, dividing the period of the power distribution network into a plurality of long periods according to a multi-time scale distribution rule, and dividing each long period into a plurality of short periods.
Because the whole coordination control scale of the power distribution network is huge, if the active power coordination is directly controlled through global optimization, the change of various power parameters such as load power, energy storage equipment, offshore wind power output and the like cannot be responded in time, meanwhile, the control time of the global optimization control is long, the robustness is poor, and the real-time and efficient active power regulation and control of the power distribution network cannot be carried out. In order to solve the problem, the application provides a coordinated optimization strategy combining long-period optimization and short-period optimization, and active power balance in a network of a power distribution network is realized by combining long-period global optimization and short-period local optimization.
The method comprises the steps of firstly establishing a multi-time-scale distribution rule and carrying out period division on a power distribution network according to the distribution rule, wherein the multi-time-scale distribution rule takes a first time length as a power distribution network period, divides the power distribution network period into a plurality of long periods according to a second time length, divides the long period into a plurality of short periods according to a third time length, and provides a time limit range for power optimization of a subsequent power distribution network through period division.
In a preferred embodiment, the multi-time scale allocation rule takes 24 hours of a day as one distribution network period, divides one distribution network period into 12 long periods, and subdivides one long period into 4 short periods, i.e. one distribution network period has a scale of 24 hours, one long period has a scale of 2 hours, and one short period has a scale of 30 minutes. It should be noted that, in this embodiment, the multi-time-scale allocation rule is only preferable, but not specifically limited, and the multi-time-scale allocation rule may be flexibly set according to actual situations.
Step S20, acquiring power parameters of the power distribution network, performing long-period optimization on active power of the power distribution network according to the power parameters and a long-period control target, and performing short-period optimization on the active power of the power distribution network according to a short-period control target.
Before optimizing a power distribution network, firstly, a topology structure of the power distribution network is described, referring to fig. 2, the topology structure of the power distribution network in the embodiment is an offshore wind power load structure, and the power distribution network comprises a wind turbine side, a power grid side and a load side, wherein n distributed units are arranged on the wind turbine side, each unit comprises three groups of offshore wind turbines, a single wind turbine is connected to a transformer through a permanent magnet synchronous motor PSMG, then is connected to an alternating current Bus together with the same group of wind turbines through the transformer, the alternating current Bus is connected with an alternating current load, a direct current load and an alternating current power grid through a transformer and the transformer, and an energy storage device is connected to the alternating current Bus through the transformer and the transformer to provide electric energy storage and release functions.
According to the multi-time scale distribution rule and the system topological structure, two different period optimization control targets, namely a long period control target and a short period control target, are designed, wherein the long period control target comprises intra-network loss and regional power consumption economy, and the short period control target is active power balance control cost.
Specifically, the minimum intra-network loss of the application is used as a first long-period control target, and the objective function of the first long-period control target is expressed by adopting the following formula:
Y 1 =minP grid
wherein Y is 1 To minimize in-network loss, P grid Is the intra-network loss of the power distribution network.
When the distribution network is operating, power losses and electrical energy losses will occur in the lines and transformers, and calculating these losses is important for safe and economical operation of the distribution network. Although power loss and electric energy loss are unavoidable, efforts should be made to reduce it. This is necessary from the viewpoints of saving energy, reducing electric energy cost, improving equipment utilization, and the like. In the actual operation process of the power distribution network, the loss of the power distribution network comprises a variable loss and a fixed loss, wherein the variable loss is the loss related to the transmission power, the variable loss is generated on the series impedance of a transmission line and a transformer, the larger the transmission power is, the larger the loss is, and the proportion of the total loss is larger; the fixed loss is only related to voltage and is generated on the parallel admittance of the transmission line and the transformer, such as corona loss of the transmission line, excitation loss of the transformer and the like.
The application takes the intra-network loss of the power distribution network as a first long period control target, namely, the intra-network loss of the whole network is regulated in each long period to be controlled in the lowest range, so that the power distribution network can keep the intra-network loss to a lower degree in the whole power distribution network period, thereby effectively saving energy, reducing electric energy cost and improving equipment utilization rate.
Based on the topological structure shown in fig. 2, in practice, when the output of the offshore wind turbine is more, the power supply distance is far, the network loss and the power consumption cost are increased, and because the power grid electricity price and the offshore wind power electricity price are different, the time-sharing electricity price is different, and the power consumption in one day has peaks and valleys, the optimization is not comprehensive enough only according to the network loss, the application also increases a second long-period control target, namely the regional power consumption economy.
In the present embodiment, according to the second long-period control target, the following control target function is set up:
wherein Y is 2 For regional power consumption economy in the period of the power distribution network, n is the number of long periods in the period of the power distribution network, and P gi And P WTi Respectively outputting a power grid in the ith long period and an offshore wind turbine, S gi And S is WTi The average price of the power grid and the average price of the offshore wind power generation in the ith long period are respectively, and t is the current moment.
In this embodiment, regional power consumption economy in a long period is calculated according to power grid side output and fan side output, and corresponding power grid average price and offshore wind power generation average price, and the power distribution network is optimized with the lowest regional power consumption economy as a target, namely, a time-sharing power grid power price curve and an offshore wind power generation power price curve are used for limiting a power grid and a fan, when the power grid power price is too high, power generation of the offshore fan is promoted, and when the power grid power price is reduced, power output of the offshore fan is reduced.
The third period optimization target provided by the application is a short period control target, namely, the active power balance control cost is optimized in a short period, and the control target function is as follows:
wherein Y is 3 To supplement the total cost of load side power shortage ΔW i jAnd->The load power missing part of the jth short period in the ith long period, the power sharing proportion of the power grid side to the load side, the power grid power cost average price and the power cost average price of offshore wind power generation are respectively, and n is the long period number in the period of the power distribution networkAnd m is the number of short periods in one long period, and t is the current moment.
From the above formula, Y 3 In fact, the running cost of the distribution network is the power sharing ratio of the power transmitted from the power grid side to the load sideAnd the optimal solution of the cost objective function is obtained.
After three periodic control objective functions are constructed through the steps, an optimization model is built according to the three periodic control objective functions, and the optimization model is constrained according to the running condition of the power distribution network, wherein constraint conditions comprise optimal solution balance constraint, active power balance constraint, energy storage charge-discharge constraint and voltage-current constraint.
Wherein, the optimal solution balance constraint is:
the active power balance constraint is:
in the formula DeltaW Gi (t) is the power injected into the power distribution network from the power grid side at the moment t in the ith long period, and delta W WTi And (t) is the power injected into the power distribution network by the wind turbine side at the moment t in the ith long period.
In order to ensure that the energy storage device can work normally and healthily, the energy storage state of charge SOC is required to be at its rated capacity P bN Charging and discharging are carried out within 10% -90%, so that the following energy storage charging and discharging constraint is established:
10%P bN ≤SOC≤90%P bN
the power distribution network is required to ensure the operation voltage U when in operation G And current I G Work in the limited scope to guarantee the normal operating of distribution network, consequently, the voltage current constraint of establishing is:
in U Gmin And U Gmax For minimum and maximum voltage allowed to run in the distribution network, I Gmin And I Gmax The minimum and maximum current allowed to run for the distribution network.
After the optimization model is built, performing periodic optimization according to the power parameters of the power distribution network, and referring to fig. 3 for specific steps:
firstly, acquiring power parameters of a power distribution network, wherein the power parameters comprise load side data, fan output data, energy storage data and the like, then carrying out long-period optimization on the power distribution network by combining a long-period control target, namely optimizing the power distribution network according to the lowest network internal loss and the lowest regional power consumption economy, and entering short-period optimization according to a short-period control target while carrying out long-period optimization;
in the process of short period optimization, the optimization steps comprise:
according to the power parameter and the short period control target, calculating to obtain an optimal power sharing proportion in a short period, wherein the optimal power sharing proportion comprises a power grid side power sharing proportion and a fan side power sharing proportion;
and transmitting the power of the power grid side to the load side according to the power sharing proportion of the power grid side, and transmitting the power of the fan side to the load side according to the power sharing proportion of the fan side.
In the present embodiment, the optimal solution of the objective function of the short-period control target, that is, the power sharing ratio α of the power grid side to the load side is calculated based on the power parameter i j After the optimal sharing proportion is obtained, the active power which is transmitted to the load side by the power grid side and the fan side is adjusted according to the sharing proportion, namely, the active power balance in the network is realized through short period optimization.
In the system topology structure, it can be seen that the wind power side comprises an offshore wind turbine and corresponding energy storage equipment, and in order to ensure stable and healthy work of the energy storage equipment, charge and discharge are required according to the charge state of the energy storage equipment, and in order to optimize the charge and discharge process, the application also provides a method for controlling the charge and discharge of the energy storage equipment based on electricity price, which comprises the following steps:
acquiring a current electricity price and a current average electricity price, and judging whether the current electricity price is smaller than the current average electricity price or not;
if yes, power generated by the offshore wind turbine is transmitted to a load side, and energy storage equipment at the wind turbine side is charged; and otherwise, jointly transmitting the power generated by the offshore wind turbine and the power stored by the energy storage equipment to a load side.
In this embodiment, the current electricity price and the average electricity price at the current moment are firstly obtained, then the current electricity price and the current average electricity price are compared, because the time period and the electricity consumption are different, the electricity price is not fixed but fluctuates, the current electricity price can be judged to be at the position in the fluctuation range of the electricity price through the comparison of the current electricity price and the current average electricity price, namely, the current electricity price belongs to the high-order electricity price or the low-order electricity price, then according to the comparison result of the current electricity price and the current average electricity price, the charging and discharging of the energy storage device are controlled, specifically, when the current electricity price is smaller than the current average electricity price, the current electricity price is considered to belong to the low-order electricity price, at the moment, the offshore wind turbine stores the generated electric energy into the corresponding energy storage device except for carrying out power transmission on the load side, and when the current electricity price is larger than or equal to the average electricity price, at the moment, the current electricity price is considered to belong to the high-order electricity price, at the moment, the offshore wind turbine reduces power output, and the energy storage device releases partial power, and the offshore wind turbine and the energy storage device jointly carries power on the load side. By the charge and discharge control method provided by the embodiment, charge and discharge of the energy storage equipment are realized while optimization is performed in a short period, active power balance in a network of the power distribution network is ensured, and meanwhile healthy and stable operation of the energy storage equipment is ensured.
And step S30, updating the power parameters according to a short-period optimization result, and continuously optimizing the active power of the power distribution network for a long period according to the updated power parameters and the long-period control target until the long-period optimization is finished.
After the optimization of one short period is finished, the long period optimization process is continuously executed according to the result of the short period optimization, namely, the regulation and control are carried out with the minimum network loss and the minimum regional power consumption economy as targets, and in the next short period, the real-time power parameters are obtained to continuously execute the short period optimization until the optimization of the long period is finished.
According to the active power control method for the offshore wind power source, global optimization is carried out on a long time scale by taking the loss in the network and the regional power economy as control targets, and meanwhile, local optimization is carried out on a short time scale by taking the active power balance control cost as control targets.
Referring to fig. 4, based on the same inventive concept, a load active power regulation system for an offshore wind power source according to a second embodiment of the present application includes:
the period distribution model 10 is used for dividing the period of the power distribution network into a plurality of long periods according to a multi-time scale distribution rule, and dividing each long period into a plurality of short periods;
the first period optimization model 20 is configured to obtain a power parameter of the power distribution network, perform long period optimization on the power distribution network according to the power parameter and a long period control target, and perform short period optimization on the power distribution network according to a short period control target; the long-period control target comprises intra-network loss and regional power economy, and the short-period control target is active power balance control cost;
and the second period optimization model 30 is configured to update the power parameter according to a short period optimization result, and continue to perform long period optimization on the power distribution network according to the updated power parameter and the long period control target until the long period optimization is finished.
In a preferred embodiment, the first period optimization model further comprises:
the proportion calculation model is used for calculating to obtain the optimal power sharing proportion in the short period according to the power parameter and the short period control target, wherein the optimal power sharing proportion comprises a power grid side power sharing proportion and a fan side power sharing proportion;
and the optimization execution model is used for transmitting the power of the power grid side to the load side according to the power sharing proportion of the power grid side and transmitting the power of the fan side to the load side according to the power sharing proportion of the fan side.
In another preferred embodiment, the optimization execution model further includes:
the energy storage charge-discharge model is used for acquiring the current electricity price and the current average electricity price and judging whether the current electricity price is smaller than the current average electricity price or not; if yes, power generated by the offshore wind turbine is transmitted to a load side, and energy storage equipment at the wind turbine side is charged; and otherwise, jointly transmitting the power generated by the offshore wind turbine and the power stored by the energy storage equipment to a load side.
The technical features and technical effects of the offshore wind power source load active power regulation system provided by the embodiment of the application are the same as those of the method provided by the embodiment of the application, and are not repeated here. All or part of each module in the offshore wind power source load active power regulation system can be realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
Referring to FIG. 5, in one embodiment, an internal architecture diagram of a computer device, which may be a terminal or a server in particular. The computer device includes a processor, a memory, a network interface, a display, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by the processor to realize the active power regulation method of the offshore wind power source. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those of ordinary skill in the art that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer devices to which the present inventive arrangements may be applied, and that a particular computing device may include more or fewer components than those shown in the way, or may combine certain components, or have the same arrangement of components.
In addition, the embodiment of the application also provides computer equipment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the method when executing the computer program.
Furthermore, the embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, implements the steps of the method.
In summary, the method, the system, the equipment and the storage medium for regulating and controlling the active power of the offshore wind power source provided by the embodiment of the application divide the period of the power distribution network into a plurality of long periods according to the multi-time scale distribution rule, and divide each long period into a plurality of short periods; acquiring power parameters of a power distribution network, performing long-period optimization on the power distribution network according to the power parameters and a long-period control target, and performing short-period optimization on the power distribution network according to a short-period control target; the long-period control target comprises intra-network loss and regional power economy, and the short-period control target is active power balance control cost; and updating the power parameters according to a short-period optimization result, and continuing to perform long-period optimization on the power distribution network according to the updated power parameters and the long-period control target until the long-period optimization is finished. The application can effectively maintain the balance of active power in the network of the offshore wind power generation system through the coordination control of active power of the source load, and improve the running reliability of the power distribution network.
In this specification, each embodiment is described in a progressive manner, and all the embodiments are directly the same or similar parts referring to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments. It should be noted that, any combination of the technical features of the foregoing embodiments may be used, and for brevity, all of the possible combinations of the technical features of the foregoing embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples represent only a few preferred embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the application. It should be noted that modifications and substitutions can be made by those skilled in the art without departing from the technical principles of the present application, and such modifications and substitutions should also be considered to be within the scope of the present application. Therefore, the protection scope of the patent of the application is subject to the protection scope of the claims.

Claims (10)

1. The active power regulation and control method for the offshore wind power source load is characterized by comprising the following steps of:
dividing a power distribution network period into a plurality of long periods according to a multi-time scale distribution rule, and dividing each long period into a plurality of short periods;
acquiring power parameters of a power distribution network, performing long-period optimization on the power distribution network according to the power parameters and a long-period control target, and performing short-period optimization on the power distribution network according to a short-period control target; the long-period control target comprises intra-network loss and regional power economy, and the short-period control target is active power balance control cost;
and updating the power parameters according to a short-period optimization result, and continuing to perform long-period optimization on the power distribution network according to the updated power parameters and the long-period control target until the long-period optimization is finished.
2. The method for regulating and controlling active power of a wind power source at sea according to claim 1, wherein the step of optimizing the active power of the power distribution network for a short period according to the short period control target comprises:
according to the power parameter and the short period control target, calculating to obtain an optimal power sharing proportion in a short period, wherein the optimal power sharing proportion comprises a power grid side power sharing proportion and a fan side power sharing proportion;
and transmitting the power of the power grid side to the load side according to the power sharing proportion of the power grid side, and transmitting the power of the fan side to the load side according to the power sharing proportion of the fan side.
3. The method for controlling active power of a load of an offshore wind power source according to claim 2, wherein the step of transmitting the fan-side power to the load side according to the fan-side power sharing ratio comprises:
acquiring a current electricity price and a current average electricity price, and judging whether the current electricity price is smaller than the current average electricity price or not;
if yes, power generated by the offshore wind turbine is transmitted to a load side, and energy storage equipment at the wind turbine side is charged; and otherwise, jointly transmitting the power generated by the offshore wind turbine and the power stored by the energy storage equipment to a load side.
4. The method for regulating and controlling active power of a marine wind power source according to claim 1, wherein the long-period control target comprises a first long-period objective function and a second long-period objective function;
wherein the first long period objective function is expressed using the following formula:
Y 1 =minP grid
wherein Y is 1 To minimize in-network loss, P grid The network loss is the intra-network loss of the power distribution network;
the second long period objective function is expressed using the following formula:
wherein Y is 2 For regional power consumption economy in the period of the power distribution network, n is the number of long periods in the period of the power distribution network, and P gi And P WTi Respectively outputting a power grid in the ith long period and an offshore wind turbine, S gi And S is WTi The average price of the power grid and the average price of the offshore wind power generation in the ith long period are respectively, and t is the current moment.
5. The method for regulating and controlling active power of offshore wind power source according to claim 4, wherein the short period control target is represented by the following formula:
wherein Y is 3 To supplement the total cost of load side power shortage ΔW i jAnd->The method comprises the steps of respectively determining a load power missing part of a jth short period in an ith long period, a power sharing proportion transmitted to the load side by a power grid side, a power cost average price of the power grid and a power cost average price of offshore wind power generation, wherein n is the number of long periods in a power distribution network period, m is the number of short periods in one long period, and t is the current moment.
6. An offshore wind power source load active power regulation and control system, which is characterized by comprising:
the period distribution model is used for dividing the period of the power distribution network into a plurality of long periods according to a multi-time scale distribution rule, and dividing each long period into a plurality of short periods;
the power distribution system comprises a first period optimization model, a second period optimization model and a third period optimization model, wherein the first period optimization model is used for acquiring power parameters of a power distribution network, performing long period optimization on the power distribution network according to the power parameters and a long period control target, and performing short period optimization on the power distribution network according to a short period control target; the long-period control target comprises intra-network loss and regional power economy, and the short-period control target is active power balance control cost;
and the second period optimization model is used for updating the power parameters according to a short period optimization result, and continuously optimizing the power distribution network for a long period according to the updated power parameters and the long period control target until the long period optimization is finished.
7. The offshore wind power generation load active power regulation system of claim 6, wherein the first periodic optimization model further comprises a proportional calculation model and an optimization execution model;
the proportion calculation model is used for calculating to obtain the optimal power sharing proportion in a short period according to the electric power parameter and the short period control target, wherein the optimal power sharing proportion comprises a power grid side power sharing proportion and a fan side power sharing proportion;
and the optimization execution model is used for transmitting the power of the power grid side to the load side according to the power sharing proportion of the power grid side and transmitting the power of the fan side to the load side according to the power sharing proportion of the fan side.
8. The offshore wind power generation load active power regulation system of claim 7, wherein the optimization execution model further comprises an energy storage charge-discharge model;
the energy storage charge-discharge model is used for acquiring current electricity price and current average electricity price and judging whether the current electricity price is smaller than the current average electricity price or not; if yes, power generated by the offshore wind turbine is transmitted to a load side, and energy storage equipment at the wind turbine side is charged; and otherwise, jointly transmitting the power generated by the offshore wind turbine and the power stored by the energy storage equipment to a load side.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 5 when the computer program is executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
CN202311058553.8A 2023-08-21 2023-08-21 Active power regulation and control method, system, equipment and storage medium for offshore wind power source Pending CN117117933A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311058553.8A CN117117933A (en) 2023-08-21 2023-08-21 Active power regulation and control method, system, equipment and storage medium for offshore wind power source

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311058553.8A CN117117933A (en) 2023-08-21 2023-08-21 Active power regulation and control method, system, equipment and storage medium for offshore wind power source

Publications (1)

Publication Number Publication Date
CN117117933A true CN117117933A (en) 2023-11-24

Family

ID=88806945

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311058553.8A Pending CN117117933A (en) 2023-08-21 2023-08-21 Active power regulation and control method, system, equipment and storage medium for offshore wind power source

Country Status (1)

Country Link
CN (1) CN117117933A (en)

Similar Documents

Publication Publication Date Title
Akella et al. Distributed power balancing for the FREEDM system
Chen et al. Multi-time scale coordinated optimal dispatch of microgrid cluster based on MAS
CN103187733A (en) Megawatt liquid flow battery energy storage power station real-time power control method and system thereof
Kiaee et al. Utilisation of alkaline electrolysers in existing distribution networks to increase the amount of integrated wind capacity
CN110783959A (en) New forms of energy power generation system's steady state control system
Peng et al. Optimized economic operation strategy for distributed energy storage with multi-profit mode
CN103023802B (en) A kind of low energy consumption dispatching patcher towards web cluster and method
CN116454914A (en) Construction method and device of multi-type resource composite frequency modulation model
Huang et al. Distributed real-time economic dispatch for islanded microgrids with dynamic power demand
Zhang et al. Grouping consistency control strategy based on DMPC and energy storage unit constraints
Yin et al. Collaborative decision-making model for capacity allocation of photovoltaics energy storage system under Energy Internet in China
CN105162173A (en) Determination method for reserve capacity of power system accessed with wind power generation
CN117151926A (en) Electric power system load side carbon responsibility accounting system, method and medium
Wang et al. Benefits analysis of energy storage system configured on the renewable energy gathering stations
CN117117933A (en) Active power regulation and control method, system, equipment and storage medium for offshore wind power source
CN115765014A (en) Distribution network energy storage and data center planning method considering information physical coupling
Liang et al. A resilience enhanced hierarchical strategy of battery energy storage for frequency regulation
CN108695907A (en) A kind of micro-capacitance sensor Multiple Time Scales Optimization Scheduling
CN114418232A (en) Energy storage system operation optimization method and system, server and storage medium
Wang et al. Frequency-based demand side response considering the discontinuity of the ToU tariff
CN112491067A (en) Active power distribution network capacity configuration method based on composite energy storage
CN110544044A (en) edge collaborative calculation method for distributed power supply to time-sharing electricity price power generation response
CN117498467B (en) Energy coordination control distribution method and system based on multi-level virtual power plant
Wang et al. Electricity and carbon-aware task scheduling in geo-distributed internet data centers
Li et al. Real-time adjustment of load frequency control based on controllable energy of electric vehicles

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination