CN117526299B - Active and reactive power coordination control system and method for micro-grid - Google Patents
Active and reactive power coordination control system and method for micro-grid Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/002—Flicker reduction, e.g. compensation of flicker introduced by non-linear load
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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Abstract
The invention discloses a micro-grid active and reactive power coordination control system and a micro-grid active and reactive power coordination control method. The active and reactive power coordination control system of the micro-grid comprises: the system comprises a micro-grid data acquisition module, a micro-grid intelligent control index calculation module, a coordination control strategy formulation module and a coordination control implementation module. According to the invention, through monitoring and collecting the electric energy data of the micro-grid, six intelligent control indexes including grid frequency deviation, grid voltage deviation, energy storage battery state, renewable energy utilization rate, load demand matching degree and energy storage battery charging and discharging efficiency are comprehensively considered, so that the micro-grid can evaluate the power coordination requirement more accurately, the comprehensive of active power and reactive power coordination control is improved, and the problem of the defect of the comprehensive of active power and reactive power coordination control in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of micro-grid coordination control, in particular to a micro-grid active and reactive power coordination control system and method.
Background
A microgrid is a small-scale, independently operated power system that typically includes a distributed source of energy, storage devices, and a variety of loads. Micro-grids have higher energy sources of primary and reliability, but also face challenges in energy management, especially coordinated control between active and reactive power. In micro-grids, active power is the main electrical energy output of the system, while reactive power is used to maintain voltage stability, especially in power distribution systems. Therefore, the active and reactive power coordination control method is an important component of the operation of the micro-grid.
Currently, active and reactive power control methods of micro-grids are mainly based on conventional prid controllers or rule control strategies, and coordinated control of active and reactive power is usually achieved through static reactive compensation devices (e.g. reactive generators).
For example, bulletin numbers: the invention patent publication of CN 104578091B discloses a delay-free optimal reactive power coordination control system and method for a multi-source power grid, wherein the system comprises the following steps: acquiring meteorological factors and power grid tide information containing historical moments of a multi-source power grid; predicting to obtain the reactive power of the optimal wind field grid-connected node/photovoltaic power station grid-connected node/SVG grid-connected node/thermal power grid-connected node at the future moment; when the current power grid is in excess of the capacitive reactive power, the inductive reactive power of the power grid is increased; and increasing the capacitive reactive power of the power grid when the current power grid is insufficient in the capacitive reactive power. And a multi-source power grid reactive power coordination control terminal device is respectively connected between the wind power generation system and the power grid, between the photovoltaic power generation system and the power grid, between the load A and the power grid and between the power grid and the load B.
For example, bulletin numbers: the invention patent publication of CN107994590B discloses a micro-grid active and reactive power comprehensive coordination control method and device, comprising the following steps: reading an active power reference value, a reactive power reference value and an important node voltage amplitude reference value of a controlled power supply issued by an upper-level dispatching; reading real-time active power, reactive power and important node voltage amplitude of a controlled power supply of the micro-grid; calculating the control sensitivity of the active power and the reactive power of the controlled power supply to the voltage amplitude of the important node; establishing a secondary planning model for micro-grid coordinated control; solving the quadratic programming model to obtain the active power adjustment quantity and the reactive power adjustment quantity of the controlled power supply; and multiplying the active power adjustment quantity and the reactive power adjustment quantity of the controlled power supply by a conservation coefficient and outputting the power adjustment quantity and the reactive power adjustment quantity. The invention also provides a corresponding active and reactive comprehensive coordination control device for the micro-grid based on the control sensitivity.
However, in the process of implementing the technical scheme of the embodiment of the application, the inventor discovers that the above technology has at least the following technical problems:
in the prior art, existing micro-grid control methods are usually focused on active power control, and the coordination of reactive power is ignored. The conventional PI control method is often used in micro-grids, but is insufficient for realizing optimal coordination control for complex systems, and has the problem of insufficient comprehensiveness of active power and reactive power coordination control.
Disclosure of Invention
The embodiment of the application solves the problem of insufficient comprehensiveness of active power and reactive power coordinated control in the prior art by providing the active and reactive power coordinated control system and method for the micro-grid, and improves the comprehensiveness of active power and reactive power coordinated control.
The embodiment of the application provides a micro-grid active and reactive power coordination control system, which comprises the following steps: the system comprises a micro-grid data acquisition module, a micro-grid intelligent control index calculation module, a coordination control strategy formulation module and a coordination control implementation module; the micro-grid data acquisition module is used for: the system is used for monitoring and collecting various electric energy data in the micro-grid; the micro-grid intelligent control index calculation module is used for: the method comprises the steps of calculating intelligent control index data of a micro-grid according to electric energy data acquired in real time, wherein the intelligent control index data of the micro-grid comprises a grid frequency deviation index, a grid voltage deviation index, an energy storage battery state index, a renewable energy utilization index, a load demand matching degree index and an energy storage battery charging and discharging efficiency index; the coordination control strategy making module: the system is used for preparing a coordination control strategy of active and reactive power according to the intelligent control index data of the micro-grid; the coordination control implementation module: the method is used for implementing coordination control according to a coordination control strategy of active and reactive power, and dynamically adjusting the active power and the reactive power in the micro-grid.
The specific calculation method of the power grid frequency deviation index comprises the following steps: collecting a real-time monitoring value of the grid frequency and a fluctuation value of the grid load of the micro grid at certain time intervals, and numbering the collection times; constructing a power grid frequency deviation index model formula according to the power grid frequency deviation index model formula; the specific power grid frequency deviation index formula is as follows:
Wherein Θ 1 is a power grid frequency deviation index, e is a natural constant, m 0 is the number of collection times, m 0 =1, 2, m is the total collection times, For the actual value of the power grid frequency acquired for the m 0 th time,/>For the reference frequency of the power grid, sigma 1 is the weight influence factor of the actual value of the power grid frequency on the deviation index of the power grid frequency,/>For the power grid load fluctuation value acquired for the m 0 th time,/>For the allowable fluctuation value of the power grid load, sigma 2 is a weight influence factor of the power grid reference frequency to the power grid frequency deviation index, and tau is a correction factor of the power grid frequency deviation index.
The specific calculation method of the power grid voltage deviation index comprises the following steps: acquiring actual voltage values of the micro-grid at certain time intervals, and simultaneously acquiring the regulation response speed of the voltage regulator equipment; constructing a power grid voltage deviation index model formula; the specific power grid voltage deviation index model formula is as follows:
wherein Θ 2 is the power grid voltage deviation index, For the actual voltage value acquired in the m 0 th time,/>For rated voltage value, gamma is the weight influence factor of actual voltage value to the power grid voltage deviation index, DR is the regulation response speed of the voltage regulator device, and lambda is the weight influence factor of the regulation response speed of the voltage regulator device to the power grid voltage deviation index.
The specific calculation method of the state index of the energy storage battery comprises the following steps: acquiring the rated capacity of the energy storage battery; collecting the current battery capacity attenuation rate and the current battery temperature value of the micro-grid energy storage battery at certain intervals; constructing an energy storage battery state index model formula; the specific energy storage battery state index model formula is as follows:
Wherein Θ 3 is the state index of the energy storage battery, VE is the rated capacity of the battery, phi is the weight ratio of the rated capacity of the battery in the state index of the energy storage battery, For the battery capacity attenuation rate acquired for the m 0 th time, χ is the weight ratio of the battery capacity attenuation rate in the state index of the energy storage battery, and is/(For the battery temperature value acquired in the m 0 th time,/>For battery safety temperature reference value,/>The weight ratio of the battery capacity attenuation rate in the state index of the energy storage battery is/(>)Is the correction coefficient of the state index of the energy storage battery.
The specific calculation method of the renewable energy utilization index comprises the following steps: collecting the current total power load capacity, solar energy utilization efficiency and wind energy utilization efficiency of the micro-grid at certain time intervals; constructing a renewable energy utilization index model formula; the specific index model formula of the renewable energy utilization rate is as follows:
Wherein Θ 4 is a renewable energy utilization index, Mu 1 is the weight influence proportion of the total power load in the renewable energy utilization index, and is/for the total power load acquired for the m 0 th timeFor the solar energy utilization efficiency of the m 0 th collection, μ 2 is the weight impact ratio in the renewable energy utilization index,/>For the wind energy utilization efficiency of the m 0 th collection, mu 3 is the weight influence proportion in the renewable energy utilization index,/>Is a correction factor for the renewable energy utilization index.
The specific calculation method of the load demand matching degree index comprises the following steps: collecting the current power load fluctuation rate, power supply quantity and power supply quantity of the micro-grid at certain time intervals; constructing a load demand matching degree index model formula; the specific load demand matching degree index model formula is as follows:
Where Θ 5 is the load demand matching index, For the power load fluctuation rate acquired at the m 0 th time, κ 1 is the weight influence proportion of the power load fluctuation rate in the load demand matching degree index, and/ >For the m 0 th collected power supply, κ 2 is the weight influence proportion of the power supply in the load demand matching index,/>For the power supply amount collected in the m 0 th time, κ 3 is the weight influence proportion of the power supply amount in the load demand matching degree index, and l is the correction coefficient of the load demand matching degree index.
The specific calculation method of the charge and discharge efficiency index of the energy storage battery comprises the following steps: collecting the current battery charging efficiency, battery discharging efficiency and battery cycle life of the micro-grid energy storage battery at certain intervals; constructing an index model formula of the charge and discharge efficiency of the energy storage battery; the specific energy storage battery charge and discharge efficiency index model formula is as follows:
Wherein Θ 6 is the charge-discharge efficiency index of the energy storage battery, For the battery charging efficiency acquired for the m 0 th time, theta 1 is the weight influence proportion of the battery charging efficiency in the charge-discharge efficiency index of the energy storage battery, and is/(For the battery discharge efficiency acquired for the m 0 th time, theta 2 is the weight influence proportion of the battery discharge efficiency in the charge-discharge efficiency index of the energy storage battery, and is/(For the battery cycle life collected for the m 0 th time, theta 3 is the weight influence proportion of the battery cycle life in the charge and discharge efficiency index of the energy storage battery, and ρ is the correction coefficient of the charge and discharge efficiency index of the energy storage battery.
The micro-grid active and reactive power coordination control method for the micro-grid active and reactive power coordination control system provided by the embodiment of the application comprises the following steps: monitoring and collecting various electric energy data in the micro-grid; calculating intelligent control index data of the micro-grid according to the electric energy data acquired in real time, wherein the intelligent control index data of the micro-grid comprises a grid frequency deviation index, a grid voltage deviation index, an energy storage battery state index, a renewable energy utilization index, a load demand matching degree index and an energy storage battery charge-discharge efficiency index; according to the intelligent control index data of the micro-grid, formulating a coordination control strategy of active and reactive power; and according to a coordination control strategy of the active and reactive power, implementing coordination control and dynamically adjusting the active power and the reactive power in the micro-grid.
Further, the electrical energy data includes: the method comprises the steps of monitoring a power grid frequency in real time, monitoring a power grid load fluctuation value, carrying out rated capacity of a battery, carrying out capacity attenuation rate of the battery, carrying out temperature value of the battery, carrying out total power loading, utilizing solar energy, utilizing wind energy, charging efficiency of the battery, discharging efficiency of the battery and recycling life of the battery.
Further, the specific method of the coordination control strategy of the active and reactive power comprises the following steps: setting a maximum allowable threshold and a minimum allowable threshold corresponding to the intelligent control index data of the micro-grid; when the power grid frequency deviation index in the micro-grid intelligent control index data is higher than the maximum allowable threshold, the active power needs to be increased, and when the power grid frequency deviation index in the micro-grid intelligent control index data is lower than the minimum allowable threshold, the active power needs to be reduced; when the power grid voltage deviation index in the micro-grid intelligent control index data is higher than the maximum allowable threshold, the active power needs to be reduced, and when the power grid voltage deviation index in the micro-grid intelligent control index data is lower than the minimum allowable threshold, the active power needs to be increased; when the state index of the energy storage battery in the micro-grid intelligent control index data is higher than a maximum allowable threshold, the active power needs to be increased, and when the state index of the energy storage battery in the micro-grid intelligent control index data is lower than a minimum allowable threshold, the active power needs to be reduced; when the renewable energy utilization index in the micro-grid intelligent control index data is higher than a maximum allowable threshold, the active power needs to be reduced, and when the renewable energy utilization index in the micro-grid intelligent control index data is lower than a minimum allowable threshold, the active power needs to be increased; when the load demand matching degree index in the micro-grid intelligent control index data is higher than a maximum allowable threshold, the active power needs to be reduced, and when the load demand matching degree index in the micro-grid intelligent control index data is lower than a minimum allowable threshold, the active power needs to be increased; when the charging and discharging efficiency index of the energy storage battery in the micro-grid intelligent control index data is higher than the maximum allowable threshold, the active power needs to be increased, and when the charging and discharging efficiency index of the energy storage battery in the micro-grid intelligent control index data is lower than the minimum allowable threshold, the active power needs to be reduced.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. By monitoring and collecting electric energy data of the micro-grid, six intelligent control indexes including grid frequency deviation, grid voltage deviation, energy storage battery state, renewable energy utilization rate, load demand matching degree and energy storage battery charging and discharging efficiency are comprehensively considered, so that the micro-grid can evaluate power coordination demands more accurately, the comprehensiveness of active power and reactive power coordination control is improved, and the problem of shortfall of comprehensiveness of active power and reactive power coordination control in the prior art is effectively solved.
2. The coordination control strategy is formulated by utilizing the intelligent control index data of the micro-grid, so that the active power and the reactive power in the micro-grid are ensured to be in a proper range, the stability problem caused by power fluctuation is prevented, and the stability of the micro-grid is further improved.
3. By monitoring the state of the energy storage battery, the renewable energy utilization rate and the load demand matching degree, the micro-grid can better manage energy storage and distribution so as to adapt to dynamic energy demand and supply, further ensure that enough power is supplied at high load, and reduce unnecessary energy waste at low load.
Drawings
Fig. 1 is a structural diagram of an active and reactive power coordination control system of a micro-grid provided by an embodiment of the application;
fig. 2 is a flowchart of a method for controlling active and reactive power coordination of a micro-grid according to an embodiment of the present application.
Detailed Description
The embodiment of the application solves the problem of insufficient comprehensiveness of active power and reactive power coordinated control in the prior art by providing the active and reactive power coordinated control system and method for the micro-grid, and comprehensively considers six intelligent control indexes including grid frequency deviation, grid voltage deviation, energy storage battery state, renewable energy utilization rate, load demand matching degree and energy storage battery charging and discharging efficiency by monitoring and collecting the electric energy data of the micro-grid, so that the micro-grid can evaluate the power coordinated demand more accurately, and the comprehensiveness of active power and reactive power coordinated control is improved.
The technical scheme in the embodiment of the application aims to solve the problem of insufficient comprehensiveness of active power and reactive power coordinated control in the prior art, and the general thought is as follows:
By monitoring and collecting the electric energy data of the micro-grid, synthesizing multidimensional intelligent control indexes, formulating an active power and reactive power coordination control strategy, dynamic adjustment of the micro-grid is realized, and the comprehensiveness of active power and reactive power coordination control is improved.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
As shown in fig. 1, the structure diagram of the active and reactive power coordination control system of the micro-grid provided by the embodiment of the application includes: the system comprises a micro-grid data acquisition module, a micro-grid intelligent control index calculation module, a coordination control strategy formulation module and a coordination control implementation module; the micro-grid data acquisition module: the system is used for monitoring and collecting various electric energy data in the micro-grid; the micro-grid intelligent control index calculation module: the method comprises the steps of calculating micro-grid intelligent control index data according to electric energy data acquired in real time, wherein the micro-grid intelligent control index data comprises a grid frequency deviation index, a grid voltage deviation index, an energy storage battery state index, a renewable energy utilization index, a load demand matching degree index and an energy storage battery charge-discharge efficiency index; and the coordination control strategy making module: the system is used for preparing a coordination control strategy of active and reactive power according to the intelligent control index data of the micro-grid; coordination control implementation module: the method is used for implementing coordination control according to a coordination control strategy of active and reactive power, and dynamically adjusting the active power and the reactive power in the micro-grid.
As shown in fig. 2, a flowchart of a method for controlling active and reactive power coordination of a micro-grid according to an embodiment of the present application is provided, where the method for controlling active and reactive power coordination of a micro-grid according to an embodiment of the present application includes the following steps: monitoring and collecting various electric energy data in the micro-grid; calculating micro-grid intelligent control index data according to the electric energy data acquired in real time, wherein the micro-grid intelligent control index data comprises a grid frequency deviation index, a grid voltage deviation index, an energy storage battery state index, a renewable energy utilization index, a load demand matching degree index and an energy storage battery charge-discharge efficiency index; according to the intelligent control index data of the micro-grid, formulating a coordination control strategy of active and reactive power; and according to a coordination control strategy of the active and reactive power, implementing coordination control and dynamically adjusting the active power and the reactive power in the micro-grid.
In this embodiment, there is a solar photovoltaic panel in the microgrid that provides a renewable energy source and the energy storage battery is used to store excess solar energy for later use. The micro-grid has some load requirements, such as lighting, household appliances, etc. The output power of the solar photovoltaic panel, the state (charge or discharge) of the energy storage battery, the frequency and voltage of the power grid, the load demand of the micro-grid and other power data are monitored regularly, and the power data provide information of the current power grid state. . And according to the formulated strategy, implementing coordination control, and dynamically adjusting active power and reactive power in the micro-grid to meet the grid demand, maintain the grid stability and improve the energy utilization efficiency.
Further, the electrical energy data includes: the method comprises the steps of monitoring a power grid frequency in real time, monitoring a power grid load fluctuation value, carrying out rated capacity of a battery, carrying out capacity attenuation rate of the battery, carrying out temperature value of the battery, carrying out total power loading, utilizing solar energy, utilizing wind energy, charging efficiency of the battery, discharging efficiency of the battery and recycling life of the battery.
Further, the specific calculation method of the power grid frequency deviation index comprises the following steps: collecting a real-time monitoring value of the grid frequency and a fluctuation value of the grid load of the micro grid at certain time intervals, and numbering the collection times; constructing a power grid frequency deviation index model formula according to the power grid frequency deviation index model formula; the specific power grid frequency deviation index formula is as follows: Wherein Θ 1 is a grid frequency deviation index, e is a natural constant, m 0 is the number of collection times, m 0 =1, 2 For the actual value of the power grid frequency acquired for the m 0 th time,/>For the reference frequency of the power grid, sigma 1 is the weight influence factor of the actual value of the power grid frequency on the deviation index of the power grid frequency,/>For the power grid load fluctuation value acquired for the m 0 th time,/>For the allowable fluctuation value of the power grid load, sigma 2 is a weight influence factor of the power grid reference frequency to the power grid frequency deviation index, and tau is a correction factor of the power grid frequency deviation index.
In this embodiment, if the grid frequency deviation index is outside of an acceptable range, it may be necessary to control the active or reactive power to provide additional stability. For example, if the frequency is too low, more active power may be provided by discharging the energy storage battery. If the grid frequency fluctuation is small, the micro-grid can focus more on own energy management and load demands, and when the frequency fluctuation is large, the micro-grid needs to respond to the change of the grid frequency more actively so as to maintain the stability of the grid.
Further, the specific calculation method of the power grid voltage deviation index comprises the following steps: acquiring actual voltage values of the micro-grid at certain time intervals, and simultaneously acquiring the regulation response speed of the voltage regulator equipment; constructing a power grid voltage deviation index model formula; the specific power grid voltage deviation index model formula is as follows: Wherein Θ 2 is the power grid voltage deviation index,/> For the actual voltage value acquired in the m 0 th time,/>For rated voltage value, gamma is the weight influence factor of actual voltage value to the power grid voltage deviation index, DR is the regulation response speed of the voltage regulator device, and lambda is the weight influence factor of the regulation response speed of the voltage regulator device to the power grid voltage deviation index.
In this embodiment, if the grid voltage deviation index is not within the range, it may be necessary to adjust the output voltage of the inverter to maintain the voltage within an acceptable range. The grid voltage deviation index is used for monitoring and adjusting the voltage stability of the micro-grid in the active and reactive power coordination control of the micro-grid. By dynamically adjusting the output power of the inverter, the micro-grid can effectively maintain the voltage within a safe range, and the stability and reliability of the grid are improved.
Further, the specific calculation method of the state index of the energy storage battery comprises the following steps: acquiring the rated capacity of the energy storage battery; collecting the current battery capacity attenuation rate and the current battery temperature value of the micro-grid energy storage battery at certain intervals; constructing an energy storage battery state index model formula; the specific energy storage battery state index model formula is as follows: Wherein Θ 3 is the state index of the energy storage battery, VE is the rated capacity of the battery, phi is the weight ratio of the rated capacity of the battery in the state index of the energy storage battery,/> For the battery capacity attenuation rate acquired for the m 0 th time, χ is the weight ratio of the battery capacity attenuation rate in the state index of the energy storage battery,For the battery temperature value acquired in the m 0 th time,/>For battery safety temperature reference value,/>The weight ratio of the battery capacity attenuation rate in the state index of the energy storage battery is/(>)Is the correction coefficient of the state index of the energy storage battery.
In this embodiment, if the energy storage battery state index is below a threshold, it may be necessary to charge the energy storage battery to increase the state. The energy storage battery state index is very important in microgrid active reactive power coordination control, which is used to monitor and maintain the state of the energy storage battery to ensure efficient energy storage and release. By dynamically controlling the charge and discharge rates of the energy storage cells, the microgrid can extend the battery life, ensuring that the cells provide reliable energy reserves when needed.
Further, the specific calculation method of the renewable energy utilization index comprises the following steps: collecting the current total power load capacity, solar energy utilization efficiency and wind energy utilization efficiency of the micro-grid at certain time intervals; constructing a renewable energy utilization index model formula; the specific index model formula of the renewable energy utilization rate is as follows: wherein Θ 4 is a renewable energy utilization index,/> Mu 1 is the weight influence proportion of the total power load in the renewable energy utilization index, and is/for the total power load acquired for the m 0 th timeFor the solar energy utilization efficiency of the m 0 th collection, μ 2 is the weight impact ratio in the renewable energy utilization index,/>For the wind energy utilization efficiency of the m 0 th collection, mu 3 is the weight influence proportion in the renewable energy utilization index,/>Is a correction factor for the renewable energy utilization index.
In this embodiment, if the renewable energy utilization index is low, it may be desirable to optimize the use of the solar photovoltaic panel, for example, by tracking the optimal angle of the solar energy or increasing the photovoltaic panel area. The renewable energy utilization index is used in the micro-grid to formulate a coordinated control strategy of active and reactive power to ensure that as much renewable energy as possible is utilized, reducing the use of non-renewable energy.
Further, the specific calculation method of the load demand matching degree index comprises the following steps: collecting the current power load fluctuation rate, power supply quantity and power supply quantity of the micro-grid at certain time intervals; constructing a load demand matching degree index model formula; the specific load demand matching degree index model formula is as follows: Where Θ 5 is the load demand matching index,/> For the power load fluctuation rate acquired at the m 0 th time, κ 1 is the weight influence proportion of the power load fluctuation rate in the load demand matching degree index, and/ >For the m 0 th collected power supply, κ 2 is the weight influence proportion of the power supply in the load demand matching index,/>For the power supply amount collected in the m 0 th time, κ 3 is the weight influence proportion of the power supply amount in the load demand matching degree index, and l is the correction coefficient of the load demand matching degree index.
In this embodiment, if the load demand matching index is low, the allocation of active power and reactive power may need to be adjusted to better meet the load demand. The load demand matching index is an important reference index used in micro-grid coordinated control. The method is used for measuring the matching degree between the current load demand and the available power and making a coordination control strategy of active power and reactive power, namely: if the matching degree of the load demands is higher, the system may preferentially use renewable energy sources, store redundant power and improve the energy utilization efficiency; if the load demand matches low, the system may need to rely on non-renewable energy sources or energy storage systems to meet the demand.
Further, the specific calculation method of the charge-discharge efficiency index of the energy storage battery comprises the following steps: collecting the current battery charging efficiency, battery discharging efficiency and battery cycle life of the micro-grid energy storage battery at certain intervals; constructing an index model formula of the charge and discharge efficiency of the energy storage battery; the specific energy storage battery charge and discharge efficiency index model formula is as follows: Wherein Θ 6 is the charge-discharge efficiency index of the energy storage battery, For the battery charging efficiency acquired for the m 0 th time, theta 1 is the weight influence proportion of the battery charging efficiency in the charge-discharge efficiency index of the energy storage battery, and is/(For the battery discharge efficiency acquired for the m 0 th time, theta 2 is the weight influence proportion of the battery discharge efficiency in the charge-discharge efficiency index of the energy storage battery, and is/(For the battery cycle life collected for the m 0 th time, theta 3 is the weight influence proportion of the battery cycle life in the charge and discharge efficiency index of the energy storage battery, and ρ is the correction coefficient of the charge and discharge efficiency index of the energy storage battery.
In the present embodiment, if the charge/discharge efficiency is lower than a desired certain threshold, measures may be taken to improve the performance of the battery, such as increasing the charge/discharge current of the battery, lowering the temperature of the battery, and the like.
Further, the specific method of the coordination control strategy of the active and reactive power comprises the following steps: setting a maximum allowable threshold and a minimum allowable threshold corresponding to the intelligent control index data of the micro-grid; when the grid frequency deviation index in the micro-grid intelligent control index data is higher than a maximum allowable threshold value, the grid frequency is indicated to be lower, the grid is possibly unstable, active power needs to be increased, the active power of an inverter can be increased to improve the frequency, when the grid frequency deviation index in the micro-grid intelligent control index data is lower than a minimum allowable threshold value, the grid frequency is indicated to be higher, the active power needs to be reduced, and the active power of the inverter can be reduced to reduce the frequency; when the power grid voltage deviation index in the micro-grid intelligent control index data is higher than a maximum allowable threshold, the battery is in a high charging state, active power needs to be reduced to reduce the voltage level, and when the power grid voltage deviation index in the micro-grid intelligent control index data is lower than a minimum allowable threshold, active power needs to be increased to improve the voltage level; when the state index of the energy storage battery in the micro-grid intelligent control index data is higher than the maximum allowable threshold, the battery is in a high charging state, active power needs to be increased, the active power of the inverter can be increased to better utilize the energy of the battery, and when the state index of the energy storage battery in the micro-grid intelligent control index data is lower than the minimum allowable threshold, the battery is in a low charging state, the active power needs to be reduced, and the active power of the inverter can be reduced so as to charge the battery; when the renewable energy utilization index in the micro-grid intelligent control index data is higher than a maximum allowable threshold, the renewable energy is sufficient, active power needs to be reduced, the active power of an inverter can be reduced to reduce waste, when the renewable energy utilization index in the micro-grid intelligent control index data is lower than a minimum allowable threshold, the renewable energy utilization is lower, the active power needs to be increased, and the inverter can improve the active power to increase the injection of the renewable energy; when the load demand matching degree index in the micro-grid intelligent control index data is higher than a maximum allowable threshold, the power supply capacity is higher than the demand, the active power needs to be reduced, the inverter can reduce the active power to reduce the electric power waste, when the load demand matching degree index in the micro-grid intelligent control index data is lower than a minimum allowable threshold, the power supply capacity is insufficient to meet the demand, the active power needs to be increased, and in this case, the active power of the inverter can be increased to meet the load demand; when the charging and discharging efficiency index of the energy storage battery in the micro-grid intelligent control index data is higher than the maximum allowable threshold, the battery efficiency is higher, active power needs to be increased, the active power of the inverter can be increased to better utilize the battery, when the charging and discharging efficiency index of the energy storage battery in the micro-grid intelligent control index data is lower than the minimum allowable threshold, the charging and discharging efficiency of the battery is lower, the active power needs to be reduced, and the inverter can reduce the active power to reduce the burden of the battery.
In this embodiment, if the grid frequency deviation index drops, it may be necessary to reduce reactive power injection to reduce system load or to improve voltage stability by reactive power compensation means. If the grid voltage deviation index drops, it is often necessary to provide additional reactive power to increase the voltage level, whereas if the grid voltage deviation index increases, it may be necessary to decrease the reactive power to decrease the voltage level. The energy storage battery may be used to provide reactive power support, and if the energy storage battery state index is high, it may provide more reactive power, thereby improving the voltage stability of the power system. Renewable energy sources typically require corresponding reactive power support to maintain the voltage quality of the power system, and if renewable energy source utilization increases exponentially, it may be necessary to increase or decrease the injection of reactive power accordingly to maintain the system voltage within a suitable range. The change in load demand may require a corresponding adjustment of reactive power, and if the load demand matching index is low, more reactive power may be required to maintain the voltage quality of the power system. The charge and discharge efficiency of the battery also affects its efficiency in providing reactive power, and if the energy storage battery has a lower charge-discharge efficiency index, more power may be required to provide the same reactive power support.
The technical scheme provided by the embodiment of the application at least has the following technical effects or advantages: relative to the bulletin number: according to the delay-free optimal reactive power coordination control system and method for the multi-source-containing power grid disclosed by the application disclosed by the patent publication CN 104578091B, by monitoring and collecting the electric energy data of the micro-grid, six intelligent control indexes including power grid frequency deviation, power grid voltage deviation, energy storage battery state, renewable energy utilization rate, load demand matching degree and energy storage battery charging and discharging efficiency are comprehensively considered, so that the micro-grid can evaluate the power coordination demands more accurately, and the integration of active power coordination control and reactive power coordination control is further realized; relative to the bulletin number: according to the active and reactive comprehensive coordination control method and device for the micro-grid disclosed by the application, the coordination control strategy is formulated by utilizing the intelligent control index data of the micro-grid, so that the active and reactive power in the micro-grid is ensured to be in a proper range, the stability problem caused by power fluctuation is prevented, and the stability of the micro-grid is further improved.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (4)
1. The active and reactive power coordination control system of the micro-grid is characterized by comprising the following steps of: the system comprises a micro-grid data acquisition module, a micro-grid intelligent control index calculation module, a coordination control strategy formulation module and a coordination control implementation module;
the micro-grid data acquisition module is used for: the system is used for monitoring and collecting various electric energy data in the micro-grid;
The micro-grid intelligent control index calculation module is used for: the method comprises the steps of calculating intelligent control index data of a micro-grid according to electric energy data acquired in real time, wherein the intelligent control index data of the micro-grid comprises a grid frequency deviation index, a grid voltage deviation index, an energy storage battery state index, a renewable energy utilization index, a load demand matching degree index and an energy storage battery charging and discharging efficiency index;
The coordination control strategy making module: the system is used for preparing a coordination control strategy of active and reactive power according to the intelligent control index data of the micro-grid;
The coordination control implementation module: the method is used for implementing coordination control according to a coordination control strategy of active and reactive power, and dynamically adjusting the active power and the reactive power in the micro-grid;
the specific calculation method of the power grid frequency deviation index comprises the following steps:
collecting a real-time monitoring value of the grid frequency and a fluctuation value of the grid load of the micro grid at certain time intervals, and numbering the collection times;
Constructing a power grid frequency deviation index model formula according to the power grid frequency deviation index model formula;
The specific power grid frequency deviation index formula is as follows:
Wherein Θ 1 is a power grid frequency deviation index, e is a natural constant, m 0 is the number of collection times, m 0 =1, 2, m is the total collection times, For the actual value of the power grid frequency acquired for the m 0 th time,/>For the reference frequency of the power grid, sigma 1 is the weight influence factor of the actual value of the power grid frequency on the deviation index of the power grid frequency,/>For the power grid load fluctuation value acquired for the m 0 th time,/>For a power grid load allowable fluctuation value, sigma 2 is a weight influence factor of a power grid reference frequency to a power grid frequency deviation index, and tau is a correction factor of the power grid frequency deviation index;
the specific calculation method of the power grid voltage deviation index comprises the following steps:
Acquiring actual voltage values of the micro-grid at certain time intervals, and simultaneously acquiring the regulation response speed of the voltage regulator equipment;
Constructing a power grid voltage deviation index model formula;
The specific power grid voltage deviation index model formula is as follows:
wherein Θ 2 is the power grid voltage deviation index, For the actual voltage value acquired in the m 0 th time,/>For rated voltage value, gamma is the weight influence factor of actual voltage value to the power grid voltage deviation index, DR is the regulation response speed of the voltage regulator device, and lambda is the weight influence factor of the regulation response speed of the voltage regulator device to the power grid voltage deviation index;
the specific calculation method of the state index of the energy storage battery comprises the following steps:
Acquiring the rated capacity of the energy storage battery;
collecting the current battery capacity attenuation rate and the current battery temperature value of the micro-grid energy storage battery at certain intervals;
constructing an energy storage battery state index model formula;
the specific energy storage battery state index model formula is as follows:
Wherein Θ 3 is the state index of the energy storage battery, VE is the rated capacity of the battery, phi is the weight ratio of the rated capacity of the battery in the state index of the energy storage battery, For the battery capacity attenuation rate acquired for the m 0 th time, χ is the weight ratio of the battery capacity attenuation rate in the state index of the energy storage battery, and is/(For the battery temperature value acquired in the m 0 th time,/>For battery safety temperature reference value,/>The weight ratio of the battery capacity attenuation rate in the state index of the energy storage battery is/(>)A correction coefficient for the state index of the energy storage battery;
The specific calculation method of the renewable energy utilization index comprises the following steps:
Collecting the current total power load capacity, solar energy utilization efficiency and wind energy utilization efficiency of the micro-grid at certain time intervals;
Constructing a renewable energy utilization index model formula;
the specific index model formula of the renewable energy utilization rate is as follows:
Wherein Θ 4 is a renewable energy utilization index, Mu 1 is the weight influence proportion of the total power load in the renewable energy utilization index, and is/for the total power load acquired for the m 0 th timeFor the solar energy utilization efficiency of the m 0 th collection, μ 2 is the weight impact ratio in the renewable energy utilization index,/>For the wind energy utilization efficiency of the m 0 th collection, mu 3 is the weight influence proportion in the renewable energy utilization index,/>A correction factor that is an index of renewable energy utilization;
The specific calculation method of the load demand matching degree index comprises the following steps:
collecting the current power load fluctuation rate, power supply quantity and power supply quantity of the micro-grid at certain time intervals;
Constructing a load demand matching degree index model formula;
The specific load demand matching degree index model formula is as follows:
Where Θ 5 is the load demand matching index, For the power load fluctuation rate acquired at the m 0 th time, κ 1 is the weight influence proportion of the power load fluctuation rate in the load demand matching degree index, and/ >For the m 0 th collected power supply, κ 2 is the weight influence proportion of the power supply in the load demand matching index,/>For the power supply quantity collected for the m 0 th time, κ 3 is the weight influence proportion of the power supply quantity in the load demand matching degree index, and l is the correction coefficient of the load demand matching degree index;
The specific calculation method of the charge and discharge efficiency index of the energy storage battery comprises the following steps:
collecting the current battery charging efficiency, battery discharging efficiency and battery cycle life of the micro-grid energy storage battery at certain intervals;
constructing an index model formula of the charge and discharge efficiency of the energy storage battery;
the specific energy storage battery charge and discharge efficiency index model formula is as follows:
Wherein Θ 6 is the charge-discharge efficiency index of the energy storage battery, For the battery charging efficiency acquired for the m 0 th time, theta 1 is the weight influence proportion of the battery charging efficiency in the charge-discharge efficiency index of the energy storage battery, and is/(For the battery discharge efficiency acquired for the m 0 th time, theta 2 is the weight influence proportion of the battery discharge efficiency in the charge-discharge efficiency index of the energy storage battery, and is/(For the battery cycle life collected for the m 0 th time, theta 3 is the weight influence proportion of the battery cycle life in the charge and discharge efficiency index of the energy storage battery, and ρ is the correction coefficient of the charge and discharge efficiency index of the energy storage battery.
2. A micro-grid active and reactive power coordination control method for the micro-grid active and reactive power coordination control system according to claim 1, comprising the steps of:
monitoring and collecting various electric energy data in the micro-grid;
calculating intelligent control index data of the micro-grid according to the electric energy data acquired in real time, wherein the intelligent control index data of the micro-grid comprises a grid frequency deviation index, a grid voltage deviation index, an energy storage battery state index, a renewable energy utilization index, a load demand matching degree index and an energy storage battery charge-discharge efficiency index;
according to the intelligent control index data of the micro-grid, formulating a coordination control strategy of active and reactive power;
and according to a coordination control strategy of the active and reactive power, implementing coordination control and dynamically adjusting the active power and the reactive power in the micro-grid.
3. The micro-grid active and reactive power coordination control method of claim 2, wherein the electrical energy data comprises: the method comprises the steps of monitoring a power grid frequency in real time, monitoring a power grid load fluctuation value, carrying out rated capacity of a battery, carrying out capacity attenuation rate of the battery, carrying out temperature value of the battery, carrying out total power loading, utilizing solar energy, utilizing wind energy, charging efficiency of the battery, discharging efficiency of the battery and recycling life of the battery.
4. The micro-grid active and reactive power coordination control method according to claim 2, wherein: the specific method for making the coordination control strategy of the active and reactive power comprises the following steps:
Setting a maximum allowable threshold and a minimum allowable threshold corresponding to the intelligent control index data of the micro-grid;
when the power grid frequency deviation index in the micro-grid intelligent control index data is higher than the maximum allowable threshold, the active power needs to be increased, and when the power grid frequency deviation index in the micro-grid intelligent control index data is lower than the minimum allowable threshold, the active power needs to be reduced;
When the power grid voltage deviation index in the micro-grid intelligent control index data is higher than the maximum allowable threshold, the active power needs to be reduced, and when the power grid voltage deviation index in the micro-grid intelligent control index data is lower than the minimum allowable threshold, the active power needs to be increased;
when the state index of the energy storage battery in the micro-grid intelligent control index data is higher than a maximum allowable threshold, the active power needs to be increased, and when the state index of the energy storage battery in the micro-grid intelligent control index data is lower than a minimum allowable threshold, the active power needs to be reduced;
When the renewable energy utilization index in the micro-grid intelligent control index data is higher than a maximum allowable threshold, the active power needs to be reduced, and when the renewable energy utilization index in the micro-grid intelligent control index data is lower than a minimum allowable threshold, the active power needs to be increased;
When the load demand matching degree index in the micro-grid intelligent control index data is higher than a maximum allowable threshold, the active power needs to be reduced, and when the load demand matching degree index in the micro-grid intelligent control index data is lower than a minimum allowable threshold, the active power needs to be increased;
when the charging and discharging efficiency index of the energy storage battery in the micro-grid intelligent control index data is higher than the maximum allowable threshold, the active power needs to be increased, and when the charging and discharging efficiency index of the energy storage battery in the micro-grid intelligent control index data is lower than the minimum allowable threshold, the active power needs to be reduced.
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