CN115173391A - Joint transmission method and system for multiple emergency power generation devices - Google Patents

Joint transmission method and system for multiple emergency power generation devices Download PDF

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Publication number
CN115173391A
CN115173391A CN202210906730.2A CN202210906730A CN115173391A CN 115173391 A CN115173391 A CN 115173391A CN 202210906730 A CN202210906730 A CN 202210906730A CN 115173391 A CN115173391 A CN 115173391A
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power generation
power supply
emergency
converter
optimization algorithm
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张伟
钟鸣
阿敏夫
连杰
乌小茜
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Inner Mongolia Electric Power Research Institute of Inner Mongolia Power Group Co Ltd
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Inner Mongolia Electric Power Research Institute of Inner Mongolia Power Group Co Ltd
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Publication of CN115173391A publication Critical patent/CN115173391A/en
Priority to AU2022259710A priority patent/AU2022259710B2/en
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J1/00Circuit arrangements for dc mains or dc distribution networks
    • H02J1/10Parallel operation of dc sources
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J1/00Circuit arrangements for dc mains or dc distribution networks
    • H02J1/10Parallel operation of dc sources
    • H02J1/12Parallel operation of dc generators with converters, e.g. with mercury-arc rectifier

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

Abstract

The present disclosure provides a joint transmission method and system for multiple emergency power generation devices, the method comprising: determining the maximum power generation amount of each emergency power generation device in the current control period; determining the optimal power supply proportion of each emergency power generation device by using a preset optimization algorithm according to the energy conversion efficiency of each converter; the optimization algorithm converges when the overall energy conversion efficiency of various emergency power generation equipment is maximum; and sending the optimal power supply proportion according to each emergency power generation device so as to control the corresponding emergency power generation device to work.

Description

Joint transmission method and system for multiple emergency power generation devices
Technical Field
The present disclosure relates to the field of emergency power supply, and more particularly, to a joint transmission method and system for multiple types of emergency power generation devices.
Background
The emergency networking comprises different types of distributed sources, such as the difference of output characteristics of an emergency diesel generator car and a distributed inverter type power supply, wherein the control mode of the distributed inverter type power supply also has difference and can be divided into a voltage source mode distributed power supply and a current source mode distributed power supply. Generally speaking, in order to realize the autonomous operation of the emergency networking, the control needs to realize the real-time balance of the active power and the reactive power of the system, and ensure a plurality of targets such as frequency requirements, voltage quality and system stability. The traditional layering has a clear control structure for bearing operation, but power regulation and optimal system efficiency are difficult to consider. For group control of multiple emergency power supplies, an improved optimal control strategy needs to be proposed for optimal overall efficiency of the system.
Disclosure of Invention
An object of the embodiments of the present disclosure is to provide a joint transmission method and system for multiple emergency power generation devices, so as to achieve optimal overall efficiency of each emergency power supply.
In a first aspect, the present invention provides a joint transmission method for multiple types of emergency power generation equipment, including: each emergency power generation device is connected with a direct current bus through a converter, and the direct current bus is used for connecting a load; the joint transmission method comprises the following steps:
determining the maximum generating capacity of each emergency generating device in the current control period according to the current environment information and the operation condition information of each emergency generating device;
determining the optimal power supply proportion of each emergency power generation device by using a preset optimization algorithm according to the energy conversion efficiency of each converter; the optimization algorithm converges when the overall energy conversion efficiency of various emergency power generation equipment is maximum, and the overall energy conversion efficiency of the various emergency power generation equipment is the ratio of the sum of the product of the maximum power generation amount of each emergency power generation equipment in the current control period, the power supply proportion to be optimized generated by the optimization algorithm and the energy conversion efficiency of the correspondingly connected converter to the total amount of the maximum power generation amount of each emergency power generation equipment in the current control period; the constraint condition of the optimization algorithm is that the sum of products of the maximum power generation amount of each emergency power generation device in the current control period, the power supply proportion to be optimized generated by the optimization algorithm and the energy conversion efficiency of the correspondingly connected converter is greater than or equal to the total power supply demand of the load in the current control period;
and sending the optimal power supply proportion according to each emergency power generation device so as to control the corresponding emergency power generation device to work.
Further, the various emergency power generation devices include a direct current power generation device and an alternating current power generation device; the converter comprises a first DC/DC converter and an AC/DC converter;
the step of determining the optimal power supply proportion of each emergency power generation device by using a preset optimization algorithm according to the energy conversion efficiency of each converter comprises the following steps:
determining the optimal power supply proportion of each emergency power generation device by using the optimization algorithm according to first energy conversion efficiency of the first DC/DC converter when the power supply proportion of the DC power generation device is the first to-be-optimized power supply proportion generated by the optimization algorithm and second energy conversion efficiency of the AC/DC converter when the power supply proportion of the AC power generation device is the second to-be-optimized power supply proportion generated by the optimization algorithm;
a first energy conversion efficiency of the first DC/DC converter varies as a power supply ratio of the direct current power generation device changes; the second energy conversion efficiency of the AC/DC converter varies as the power supply ratio of the alternating current power generation device changes.
Further, the preset optimization algorithm is a genetic algorithm;
the step of determining the optimal power supply proportion of each emergency power generation device by using the optimization algorithm according to the first energy conversion efficiency of the first DC/DC converter when the power supply proportion of the DC power generation device is the first to-be-optimized power supply proportion generated by the optimization algorithm and the second energy conversion efficiency of the AC/DC converter when the power supply proportion of the AC power generation device is the second to-be-optimized power supply proportion generated by the optimization algorithm comprises:
calculating the product of the maximum power generation amount of the direct current power generation equipment in the current control period, the first power supply proportion to be optimized and the first energy conversion efficiency as the actual power supply amount of the direct current power generation equipment;
calculating the product of the maximum power generation amount of the alternating current power generation equipment in the current control period, the second power supply proportion to be optimized and the second energy conversion efficiency as the actual power supply amount of the alternating current power generation equipment;
calculating a first sum of actual power supply amounts of the direct current power generation device and the alternating current power generation device;
calculating a second sum of maximum power generation amounts of the direct current power generation equipment and the alternating current power generation equipment in the current control period;
taking the ratio of the first sum value to the second sum value as the fitness of each individual of the optimization algorithm, wherein each individual is a vector formed by the first power supply proportion to be optimized and the first power supply proportion to be optimized, and the dimension of each individual is equal to the number of the plurality of types of emergency power generation equipment;
and the optimization algorithm converges when the ratio of the first sum value to the second sum value is maximum, and the optimal power supply proportion of each emergency power generation device is obtained according to the optimal individual when the optimization algorithm converges.
Furthermore, the various emergency power generation devices comprise wind power generation devices, photovoltaic power generation devices, energy storage devices, emergency diesel power generation cars, hydrogen energy devices and fuel cell devices.
Further, the preset optimization algorithm is a multi-objective genetic algorithm.
In a second aspect, the present invention provides a joint transmission system for multiple types of emergency power generation equipment, comprising:
the system comprises a plurality of converters, a direct current bus and a joint transmission controller; each emergency power generation device is connected with a direct current bus through a converter, and the direct current bus is used for connecting a load;
the combined transmission controller is used for determining the maximum power generation amount of each emergency power generation device in the current control period according to the current environment information and the operation condition information of each emergency power generation device; determining the optimal power supply proportion of each emergency power generation device by using a preset optimization algorithm according to the energy conversion efficiency of each converter; the optimization algorithm converges when the overall energy conversion efficiency of various emergency power generation equipment is maximum, and the overall energy conversion efficiency of the various emergency power generation equipment is the ratio of the sum of the product of the maximum power generation amount of each emergency power generation equipment in the current control period, the power supply proportion to be optimized generated by the optimization algorithm and the energy conversion efficiency of the correspondingly connected converter to the total amount of the maximum power generation amount of each emergency power generation equipment in the current control period; the constraint condition of the optimization algorithm is that the sum of products of the maximum power generation amount of each emergency power generation device in the current control period, the power supply proportion to be optimized generated by the optimization algorithm and the energy conversion efficiency of the converter correspondingly connected is greater than or equal to the total power supply demand of the load in the current control period; and sending the optimal power supply proportion according to each emergency power generation device so as to control the corresponding emergency power generation device to work.
Further, the various emergency power generation devices comprise direct current power generation devices and alternating current power generation devices;
the plurality of converters includes a first DC/DC converter, an AC/DC converter; the direct current power generation equipment is connected with a direct current bus through a first DC/DC converter, and the alternating current power generation equipment is connected with the direct current bus through an AC/DC converter;
the joint transmission controller is respectively connected with the first DC/DC converter and the AC/DC converter, and is further used for determining the optimal power supply proportion of each emergency power generation device by using the optimization algorithm according to first energy conversion efficiency of the first DC/DC converter when the power supply proportion of the DC power generation device is the first power supply proportion to be optimized generated by the optimization algorithm and second energy conversion efficiency of the AC/DC converter when the power supply proportion of the AC power generation device is the second power supply proportion to be optimized generated by the optimization algorithm;
a first energy conversion efficiency of the first DC/DC converter varies as a power supply ratio of the direct current power generation device changes; the second energy conversion efficiency of the AC/DC converter varies as the power supply ratio of the alternating current power generation device changes.
Further, the preset optimization algorithm is a genetic algorithm;
the joint transmission controller is specifically configured to: calculating the product of the maximum power generation amount of the direct current power generation equipment in the current control period, the first power supply proportion to be optimized and the first energy conversion efficiency as the actual power supply amount of the direct current power generation equipment; calculating the product of the maximum power generation amount of the alternating current power generation equipment in the current control period, the second power supply proportion to be optimized and the second energy conversion efficiency as the actual power supply amount of the alternating current power generation equipment; calculating a first sum of actual power supply amounts of the direct current power generation device and the alternating current power generation device; calculating a second sum of maximum power generation amounts of the direct current power generation equipment and the alternating current power generation equipment in the current control period; taking the ratio of the first sum value to the second sum value as the fitness of each individual of the optimization algorithm, wherein each individual is a vector formed by the first power supply proportion to be optimized and the first power supply proportion to be optimized, and the dimension of each individual is equal to the number of the plurality of types of emergency power generation equipment; and the optimization algorithm converges when the ratio of the first sum value to the second sum value is maximum, and the optimal power supply proportion of each emergency power generation device is obtained according to the optimal individual when the optimization algorithm converges.
Further, the plurality of converters further includes a DC/AC converter and a second DC/DC converter; the direct current bus is connected with an alternating current load through the DC/AC converter, and the direct current bus is connected with the direct current load through the second DC/DC converter;
the joint transmission controller is respectively connected with the DC/AC converter and the second DC/DC converter.
Furthermore, the various emergency power generation devices comprise wind power generation devices, photovoltaic power generation devices, energy storage devices, emergency diesel power generation cars, hydrogen energy devices and fuel cell devices.
According to the combined transmission method and system for the multiple emergency power generation devices, the optimal power supply proportion of each emergency power generation device is determined by utilizing a preset optimization algorithm according to the energy conversion efficiency of each converter; the optimization algorithm is converged when the overall energy conversion efficiency of various emergency power generation equipment is maximum, so that the optimal power supply proportion of each emergency power generation equipment is determined on the basis of priority on the basis of maximum overall energy conversion efficiency of various emergency power generation equipment, the effective linkage of the overall energy conversion efficiency of each various emergency power generation equipment and the optimal power supply proportion of each emergency power generation equipment is realized, and the overall efficiency of each emergency power supply is optimal.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flow chart of a method of joint transmission of a plurality of emergency power plants according to an embodiment of the present disclosure.
Fig. 2 is a schematic structural diagram of a combined transmission system of a plurality of emergency power plants according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
It should be noted that, in the case of no conflict, the features in the following embodiments and examples may be combined with each other; moreover, all other embodiments that can be derived by one of ordinary skill in the art from the embodiments disclosed herein without making any creative effort fall within the scope of the present disclosure.
It is noted that various aspects of the embodiments are described below within the scope of the appended claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the disclosure, one skilled in the art should appreciate that one aspect described herein may be implemented independently of any other aspects and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method practiced using any number of the aspects set forth herein. Additionally, such an apparatus may be implemented and/or such a method may be practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
Fig. 1 is a flow chart of a method of joint transmission of a plurality of emergency power plants according to an embodiment of the present disclosure. Each emergency power generation device is connected with a direct current bus through a converter, and the direct current bus is used for connecting a load. As shown in fig. 1, the joint transmission method of the plurality of emergency power generation apparatuses includes:
step 101: the maximum power generation amount of each emergency power generation equipment in the current control period is determined according to the current environment information and the operation condition information of each emergency power generation equipment, and the specific determination mode of the maximum power generation amount is not the key point of the disclosure, and the prior art can be referred to.
Step 102: determining the optimal power supply proportion of each emergency power generation device by using a preset optimization algorithm according to the energy conversion efficiency of each converter; the optimization algorithm converges when the overall energy conversion efficiency of various emergency power generation equipment is maximum, and the overall energy conversion efficiency of the various emergency power generation equipment is the ratio of the sum of the product of the maximum power generation amount of each emergency power generation equipment in the current control period, the power supply proportion to be optimized generated by the optimization algorithm and the energy conversion efficiency of the correspondingly connected converter to the total amount of the maximum power generation amount of each emergency power generation equipment in the current control period; the constraint condition of the optimization algorithm is that the sum of products of the maximum power generation amount of each emergency power generation device in the current control period, the power supply proportion to be optimized generated by the optimization algorithm and the energy conversion efficiency of the correspondingly connected converter is larger than or equal to the total power supply demand of the load in the current control period.
Step 103: and sending the optimal power supply proportion according to each emergency power generation device so as to control the corresponding emergency power generation device to work.
In the embodiment, the optimal power supply proportion of each emergency power generation device is determined by utilizing a preset optimization algorithm according to the energy conversion efficiency of each converter; the optimization algorithm is converged when the overall energy conversion efficiency of various emergency power generation equipment is maximum, so that the optimal power supply proportion of each emergency power generation equipment is determined on the basis of priority on the basis of maximum overall energy conversion efficiency of various emergency power generation equipment, the effective linkage of the overall energy conversion efficiency of each various emergency power generation equipment and the optimal power supply proportion of each emergency power generation equipment is realized, and the overall efficiency of each emergency power supply is optimal.
The above-described method of joint transmission of the plurality of emergency power plants also exists in at least one of the following preferred embodiments:
the first method comprises the following steps: the multiple types of emergency power generation equipment comprise direct current power generation equipment and alternating current power generation equipment; the converter comprises a first DC/DC converter and an AC/DC converter;
the step of determining the optimal power supply proportion of each emergency power generation device by using a preset optimization algorithm according to the energy conversion efficiency of each converter comprises the following steps:
determining the optimal power supply proportion of each emergency power generation device by using the optimization algorithm according to first energy conversion efficiency of the first DC/DC converter when the power supply proportion of the direct current power generation device is the first to-be-optimized power supply proportion generated by the optimization algorithm and second energy conversion efficiency of the AC/DC converter when the power supply proportion of the alternating current power generation device is the second to-be-optimized power supply proportion generated by the optimization algorithm;
a first energy conversion efficiency of the first DC/DC converter varies as a power supply ratio of the direct current power generation device changes; the second energy conversion efficiency of the AC/DC converter varies as the power supply ratio of the alternating current power generation device changes.
And the second method comprises the following steps: the multiple emergency power generation devices comprise wind power generation devices, photovoltaic power generation devices, energy storage devices, emergency diesel generating cars, hydrogen energy devices and fuel cell devices.
Further, the first preferred embodiment further includes the following preferred embodiments:
the preset optimization algorithm is a genetic algorithm; specifically, the preset optimization algorithm may be a multi-objective genetic algorithm;
the step of determining the optimal power supply proportion of each emergency power generation device by using the optimization algorithm according to the first energy conversion efficiency of the first DC/DC converter when the power supply proportion of the DC power generation device is the first to-be-optimized power supply proportion generated by the optimization algorithm and the second energy conversion efficiency of the AC/DC converter when the power supply proportion of the AC power generation device is the second to-be-optimized power supply proportion generated by the optimization algorithm comprises:
calculating the product of the maximum power generation amount of the direct current power generation equipment in the current control period, the first power supply proportion to be optimized and the first energy conversion efficiency as the actual power supply amount of the direct current power generation equipment;
calculating the product of the maximum power generation amount of the alternating current power generation equipment in the current control period, the second power supply proportion to be optimized and the second energy conversion efficiency as the actual power supply amount of the alternating current power generation equipment;
calculating a first sum of actual power supply amounts of the direct current power generation device and the alternating current power generation device;
calculating a second sum of maximum power generation amounts of the direct current power generation equipment and the alternating current power generation equipment in the current control period;
taking the ratio of the first sum value to the second sum value as the fitness of each individual of the optimization algorithm, wherein each individual is a vector formed by the first power supply proportion to be optimized and the first power supply proportion to be optimized, and the dimension of each individual is equal to the number of the plurality of types of emergency power generation equipment; for example, when the plurality of emergency power generation devices include a wind power generation device, a photovoltaic power generation device, an energy storage device, an emergency diesel-electric vehicle, a hydrogen energy device, and a fuel cell device, the dimension of each individual is 6, and the vector (G) is represented by a vector (G) 1 ,G 2 ,G 3 ,G 4 ,G 5 ,G 6 ) G in the vector 1 ,G 2 ,G 3 ,G 4 ,G 5 ,G 6 The power supply proportions of the wind power generation equipment, the photovoltaic power generation equipment, the energy storage equipment, the emergency diesel generating car, the hydrogen energy equipment and the fuel cell equipment are respectively corresponded; if the power generation estimators of the current control cycle of the wind power generation plant, the photovoltaic power generation plant, the energy storage plant, the emergency diesel-electric vehicle, the hydrogen energy plant and the fuel cell plant are respectively expressed as F 1 ,F 2 ,F 3 ,F 4 ,F 5 ,F 6 And the total power supply demand of the current control period is represented as Q according to 1/((F) 1 G 1 +F 2 G 2 +F 3 G 3 +F 4 G 4 +F 5 G 5 +F 6 G 6 ) -Q) calculating the fitness of each individual;
and the optimization algorithm converges when the ratio of the first sum value to the second sum value is maximum, and the optimal power supply proportion of each emergency power generation device is obtained according to the optimal individual when the optimization algorithm converges. And continuously optimizing and calculating by using the genetic algorithm model until the individuals with the maximum fitness are used as the optimal power supply proportion of the wind power generation equipment, the photovoltaic power generation equipment, the energy storage equipment, the emergency diesel power generation vehicle, the hydrogen energy equipment and the fuel cell equipment when the genetic algorithm model is converged.
Fig. 2 is a block diagram of a joint transmission system of a plurality of emergency power plants according to an embodiment of the present disclosure. The embodiment shown in fig. 1 may be used to explain the present embodiment. As shown in fig. 2: a joint transmission system for multiple emergency power plants, comprising:
the system comprises a plurality of converters, a direct current bus and a joint transmission controller; each emergency power generation device is connected with a direct current bus through a converter, and the direct current bus is used for connecting a load;
the joint transmission controller is used for determining the maximum generating capacity of each emergency generating device in the current control period according to the current environment information and the operation condition information of each emergency generating device; determining the optimal power supply proportion of each emergency power generation device by using a preset optimization algorithm according to the energy conversion efficiency of each converter; the optimization algorithm is converged when the overall energy conversion efficiency of various emergency generating equipment is maximum, and the overall energy conversion efficiency of the various emergency generating equipment is the ratio of the sum of the product of the maximum power generation amount of each emergency generating equipment in the current control period, the power supply proportion to be optimized generated by the optimization algorithm and the energy conversion efficiency of the correspondingly connected converter to the total amount of the maximum power generation amount of each emergency generating equipment in the current control period; the constraint condition of the optimization algorithm is that the sum of products of the maximum power generation amount of each emergency power generation device in the current control period, the power supply proportion to be optimized generated by the optimization algorithm and the energy conversion efficiency of the correspondingly connected converter is greater than or equal to the total power supply demand of the load in the current control period; and sending the optimal power supply proportion according to each emergency power generation device so as to control the corresponding emergency power generation device to work.
Preferably, the plurality of emergency power generation devices include a direct current power generation device and an alternating current power generation device;
the plurality of converters includes a first DC/DC converter, an AC/DC converter; the direct current power generation equipment is connected with a direct current bus through a first DC/DC converter, and the alternating current power generation equipment is connected with the direct current bus through an AC/DC converter;
the joint transmission controller is respectively connected with the first DC/DC converter and the AC/DC converter, and is further used for determining the optimal power supply proportion of each emergency power generation device by using the optimization algorithm according to first energy conversion efficiency of the first DC/DC converter when the power supply proportion of the DC power generation device is the first power supply proportion to be optimized generated by the optimization algorithm and second energy conversion efficiency of the AC/DC converter when the power supply proportion of the AC power generation device is the second power supply proportion to be optimized generated by the optimization algorithm;
a first energy conversion efficiency of the first DC/DC converter varies as a power supply ratio of the direct current power generation device changes; the second energy conversion efficiency of the AC/DC converter varies as the power supply ratio of the alternating current power generation device changes.
Preferably, the preset optimization algorithm is a genetic algorithm;
the joint transmission controller is specifically configured to: calculating the product of the maximum power generation amount of the direct current power generation equipment in the current control period, the first power supply proportion to be optimized and the first energy conversion efficiency as the actual power supply amount of the direct current power generation equipment; calculating the product of the maximum power generation amount of the alternating current power generation equipment in the current control period, the second power supply proportion to be optimized and the second energy conversion efficiency as the actual power supply amount of the alternating current power generation equipment; calculating a first sum of actual power supply amounts of the direct current power generation device and the alternating current power generation device; calculating a second sum of maximum power generation amounts of the direct current power generation equipment and the alternating current power generation equipment in the current control period; taking the ratio of the first sum value to the second sum value as the fitness of each individual of the optimization algorithm, wherein each individual is a vector formed by the first power supply proportion to be optimized and the first power supply proportion to be optimized, and the dimension of each individual is equal to the number of the plurality of types of emergency power generation equipment; and the optimization algorithm converges when the ratio of the first sum value to the second sum value is maximum, and the optimal power supply proportion of each emergency power generation device is obtained according to the optimal individual when the optimization algorithm converges.
Preferably, the plurality of converters further includes a DC/AC converter and a second DC/DC converter; the direct current bus is connected with an alternating current load through the DC/AC converter, and the direct current bus is connected with the direct current load through the second DC/DC converter;
the joint transmission controller is respectively connected with the DC/AC converter and the second DC/DC converter.
Preferably, the plurality of emergency power generation devices include a wind power generation device, a photovoltaic power generation device, an energy storage device, an emergency diesel electric vehicle, a hydrogen energy device and a fuel cell device.
In the embodiment, the optimal power supply proportion of each emergency power generation device is determined by utilizing a preset optimization algorithm according to the energy conversion efficiency of each converter; the optimization algorithm is converged when the overall energy conversion efficiency of various emergency power generation equipment is maximum, so that the optimal power supply proportion of each emergency power generation equipment is determined on the basis of priority on the basis of maximum overall energy conversion efficiency of various emergency power generation equipment, the effective linkage of the overall energy conversion efficiency of each various emergency power generation equipment and the optimal power supply proportion of each emergency power generation equipment is realized, and the overall efficiency of each emergency power supply is optimal.
In this case, the program code itself read from the storage medium can realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.
Examples of the storage medium for supplying the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD + RW), a magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer via a communications network.
Further, it should be clear that the functions of any one of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform a part or all of the actual operations based on instructions of the program code.
Further, it is to be understood that the program code read out from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion unit connected to the computer, and then causes a CPU or the like mounted on the expansion board or the expansion unit to perform part or all of the actual operations based on instructions of the program code, thereby realizing the functions of any of the above-described embodiments.
It should be noted that not all steps and modules in the above flows and system structure diagrams are necessary, and some steps or modules may be omitted according to actual needs. The execution sequence of the steps is not fixed and can be adjusted according to the needs. The system structure described in the above embodiments may be a physical structure or a logical structure, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by a plurality of physical entities, or some components in a plurality of independent devices may be implemented together.
In the above embodiments, the hardware unit may be implemented mechanically or electrically. For example, a hardware element may comprise permanently dedicated circuitry or logic (such as a dedicated processor, FPGA or ASIC) to perform the corresponding operations. The hardware elements may also comprise programmable logic or circuitry, such as a general purpose processor or other programmable processor, that may be temporarily configured by software to perform the corresponding operations. The specific implementation (mechanical, or dedicated permanent, or temporarily set) may be determined based on cost and time considerations.
While the invention has been shown and described in detail in the drawings and in the preferred embodiments, it is not intended to limit the invention to the embodiments disclosed, and it will be apparent to those skilled in the art that various combinations of the code auditing means in the various embodiments described above may be used to obtain further embodiments of the invention, which are also within the scope of the invention.

Claims (10)

1. The joint transmission method of the multiple emergency power generation devices is characterized in that each emergency power generation device is connected with a direct current bus through a converter, and the direct current bus is used for connecting a load; the joint transmission method comprises the following steps:
determining the maximum generating capacity of each emergency generating device in the current control period according to the current environment information and the operation condition information of each emergency generating device;
determining the optimal power supply proportion of each emergency power generation device by using a preset optimization algorithm according to the energy conversion efficiency of each converter; the optimization algorithm converges when the overall energy conversion efficiency of various emergency power generation equipment is maximum, and the overall energy conversion efficiency of the various emergency power generation equipment is the ratio of the sum of the product of the maximum power generation amount of each emergency power generation equipment in the current control period, the power supply proportion to be optimized generated by the optimization algorithm and the energy conversion efficiency of the correspondingly connected converter to the total amount of the maximum power generation amount of each emergency power generation equipment in the current control period; the constraint condition of the optimization algorithm is that the sum of products of the maximum power generation amount of each emergency power generation device in the current control period, the power supply proportion to be optimized generated by the optimization algorithm and the energy conversion efficiency of the converter correspondingly connected is greater than or equal to the total power supply demand of the load in the current control period;
and sending the optimal power supply proportion according to each emergency power generation device so as to control the corresponding emergency power generation device to work.
2. The method of joint transmission of a plurality of emergency power plants according to claim 1, wherein the plurality of emergency power plants includes a dc power plant and an ac power plant; the converter comprises a first DC/DC converter and an AC/DC converter;
the step of determining the optimal power supply proportion of each emergency power generation device by using a preset optimization algorithm according to the energy conversion efficiency of each converter comprises the following steps:
determining the optimal power supply proportion of each emergency power generation device by using the optimization algorithm according to first energy conversion efficiency of the first DC/DC converter when the power supply proportion of the DC power generation device is the first to-be-optimized power supply proportion generated by the optimization algorithm and second energy conversion efficiency of the AC/DC converter when the power supply proportion of the AC power generation device is the second to-be-optimized power supply proportion generated by the optimization algorithm;
a first energy conversion efficiency of the first DC/DC converter varies as a power supply ratio of the direct current power generation device changes; the second energy conversion efficiency of the AC/DC converter varies as the power supply ratio of the alternating current power generation device changes.
3. The method for joint transmission of a plurality of emergency power plants according to claim 2, wherein the predetermined optimization algorithm is a genetic algorithm;
the step of determining the optimal power supply proportion of each emergency power generation device by using the optimization algorithm according to the first energy conversion efficiency of the first DC/DC converter when the power supply proportion of the DC power generation device is the first to-be-optimized power supply proportion generated by the optimization algorithm and the second energy conversion efficiency of the AC/DC converter when the power supply proportion of the AC power generation device is the second to-be-optimized power supply proportion generated by the optimization algorithm comprises:
calculating the product of the maximum power generation amount of the direct current power generation equipment in the current control period, the first power supply proportion to be optimized and the first energy conversion efficiency as the actual power supply amount of the direct current power generation equipment;
calculating the product of the maximum power generation amount of the alternating current power generation equipment in the current control period, the second power supply proportion to be optimized and the second energy conversion efficiency as the actual power supply amount of the alternating current power generation equipment;
calculating a first sum of actual power supply amounts of the direct current power generation device and the alternating current power generation device;
calculating a second sum of maximum power generation amounts of the direct current power generation equipment and the alternating current power generation equipment in the current control period;
taking the ratio of the first sum value to the second sum value as the fitness of each individual of the optimization algorithm, wherein each individual is a vector formed by the first power supply proportion to be optimized and the first power supply proportion to be optimized, and the dimension of each individual is equal to the number of the plurality of types of emergency power generation equipment;
and the optimization algorithm converges when the ratio of the first sum value to the second sum value is maximum, and the optimal power supply proportion of each emergency power generation device is obtained according to the optimal individual when the optimization algorithm converges.
4. The method of claim 3, wherein the plurality of emergency power generation devices comprise a wind power generation device, a photovoltaic power generation device, an energy storage device, an emergency diesel-electric vehicle, a hydrogen energy device, and a fuel cell device.
5. The method for joint transmission of multiple emergency power plants according to claim 4, wherein the predetermined optimization algorithm is a multi-objective genetic algorithm.
6. A joint transmission system for a plurality of emergency power plants, comprising: the system comprises a plurality of converters, a direct current bus and a joint transmission controller; each emergency power generation device is connected with a direct current bus through a converter, and the direct current bus is used for connecting a load;
the joint transmission controller is used for determining the maximum generating capacity of each emergency generating device in the current control period according to the current environment information and the operation condition information of each emergency generating device; determining the optimal power supply proportion of each emergency power generation device by using a preset optimization algorithm according to the energy conversion efficiency of each converter; the optimization algorithm is converged when the overall energy conversion efficiency of various emergency generating equipment is maximum, and the overall energy conversion efficiency of the various emergency generating equipment is the ratio of the sum of the product of the maximum power generation amount of each emergency generating equipment in the current control period, the power supply proportion to be optimized generated by the optimization algorithm and the energy conversion efficiency of the correspondingly connected converter to the total amount of the maximum power generation amount of each emergency generating equipment in the current control period; the constraint condition of the optimization algorithm is that the sum of products of the maximum power generation amount of each emergency power generation device in the current control period, the power supply proportion to be optimized generated by the optimization algorithm and the energy conversion efficiency of the correspondingly connected converter is greater than or equal to the total power supply demand of the load in the current control period; and sending the optimal power supply proportion according to each emergency power generation device so as to control the corresponding emergency power generation device to work.
7. The joint transmission system of a plurality of emergency power plants according to claim 6, wherein the plurality of emergency power plants includes a direct current power plant and an alternating current power plant;
the plurality of converters includes a first DC/DC converter, an AC/DC converter; the direct current power generation equipment is connected with a direct current bus through a first DC/DC converter, and the alternating current power generation equipment is connected with the direct current bus through an AC/DC converter;
the joint transmission controller is respectively connected with the first DC/DC converter and the AC/DC converter, and is further used for determining the optimal power supply proportion of each emergency power generation device by using the optimization algorithm according to first energy conversion efficiency of the first DC/DC converter when the power supply proportion of the DC power generation device is the first power supply proportion to be optimized generated by the optimization algorithm and second energy conversion efficiency of the AC/DC converter when the power supply proportion of the AC power generation device is the second power supply proportion to be optimized generated by the optimization algorithm;
a first energy conversion efficiency of the first DC/DC converter varies as a power supply ratio of the direct current power generation device changes; the second energy conversion efficiency of the AC/DC converter varies as the power supply ratio of the alternating current power generation device changes.
8. The joint transmission system of a plurality of emergency power plants according to claim 7, wherein the preset optimization algorithm is a genetic algorithm;
the joint transmission controller is specifically configured to: calculating the product of the maximum power generation amount of the direct current power generation equipment in the current control period, the first power supply proportion to be optimized and the first energy conversion efficiency as the actual power supply amount of the direct current power generation equipment; calculating the product of the maximum power generation amount of the alternating current power generation equipment in the current control period, the second power supply proportion to be optimized and the second energy conversion efficiency as the actual power supply amount of the alternating current power generation equipment; calculating a first sum of actual power supply amounts of the direct current power generation device and the alternating current power generation device; calculating a second sum of maximum power generation amounts of the direct current power generation equipment and the alternating current power generation equipment in the current control period; taking the ratio of the first sum value to the second sum value as the fitness of each individual of the optimization algorithm, wherein each individual is a vector formed by the first power supply proportion to be optimized and the first power supply proportion to be optimized, and the dimension of each individual is equal to the number of the plurality of types of emergency power generation equipment; and the optimization algorithm converges when the ratio of the first sum value to the second sum value is maximum, and the optimal power supply proportion of each emergency power generation device is obtained according to the optimal individual when the optimization algorithm converges.
9. The joint transmission system of a plurality of emergency power plants of claim 8, wherein the plurality of converters further comprises a DC/AC converter and a second DC/DC converter; the direct current bus is connected with an alternating current load through the DC/AC converter, and the direct current bus is connected with the direct current load through the second DC/DC converter;
the joint transmission controller is respectively connected with the DC/AC converter and the second DC/DC converter.
10. The joint transmission system of a plurality of emergency power generation devices according to claim 9, wherein the plurality of emergency power generation devices include a wind power generation device, a photovoltaic power generation device, an energy storage device, an emergency diesel-electric vehicle, a hydrogen energy device, and a fuel cell device.
CN202210906730.2A 2022-07-29 2022-07-29 Joint transmission method and system for multiple emergency power generation devices Pending CN115173391A (en)

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