CN114725929A - Energy management control method and system for wind-solar energy storage micro-grid system - Google Patents
Energy management control method and system for wind-solar energy storage micro-grid system 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
- H02J3/38—Arrangements for parallely feeding a single network by two or more 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
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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
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
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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
- H02J3/02—Circuit arrangements for ac mains or ac distribution networks using a single network for simultaneous distribution of power at different frequencies; using a single network for simultaneous distribution of ac power and of dc 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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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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
- 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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- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
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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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
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Abstract
The invention provides an energy management control method for a wind-solar-storage micro-grid system, which comprises the following steps of S1: acquiring actual photovoltaic power generation capacity and actual wind power generation capacity, and calibrating a real-time wind power calculation coefficient; s2: presetting the priority of each load, and acquiring the real-time state of each load; s3: and calculating the difference between the actual power generation amount and the total power required by the load in the opening state, and performing corresponding processing. The invention can lead the system to increase the predictability of the actual generating capacity by predicting the real-time calibration wind generating capacity, and lead the load and the electric quantity distribution to be processed differently according to the relation between the actual generating capacity and the total electric quantity required by the load, and lead the control system to realize automatic distribution control power supply for the electric quantity by setting different priorities for the load, thereby increasing the automatic stable power supply of the system.
Description
Technical Field
The invention relates to the technical field of management control methods of wind and light storage micro-grid systems, in particular to an energy management control method and system for a wind and light storage micro-grid system.
Background
With the gradual popularization of new energy power generation technology, comprehensive power generation by utilizing various energy sources becomes a hot point of domestic and foreign research, particularly two renewable clean energy sources, namely wind energy and solar energy, have great development potential, and the wind power generation amount fluctuates due to the intermittence and random fluctuation of wind, so that the power output of power generation equipment to a load is unstable, the work of the load is unstable, and even the load is damaged;
at present, the demand for power supply in a park is large and stable control power supply is needed, but a power supply system in the prior art generally adopts unified power supply and cannot realize targeted automatic control power supply.
Disclosure of Invention
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: an energy management control method for a wind-solar-storage micro-grid system comprises the following steps:
step S1: acquiring actual photovoltaic power generation capacity and actual wind power generation capacity, and calibrating a real-time wind power calculation coefficient;
step S2: presetting the priority of each load, and acquiring the real-time state of each load;
step S3: calculating the difference value between the actual generated energy and the total electric quantity required by the load in the opening state, and performing corresponding processing:
when the difference value is larger than 0, whether the energy storage equipment is full is detected:
when the energy storage equipment is not full, distributing the generated electric energy to a load, and outputting the redundant electric energy to the energy storage equipment;
when the energy storage device is full, an inquiry signal is sent whether to turn on the load:
if yes, automatically turning on a load in the off state with the highest priority level, and performing step S2;
and when the answer is no, outputting redundant electric energy to the municipal pipe network.
The step S1 includes:
step S1-1: acquiring wind power information of the environment, and calculating to obtain the actual work of the wind power generation driving module;
step S1-2: acquiring actual photovoltaic power generation capacity and actual wind power generation capacity;
step S1-3: calculating the predicted wind power generation amount according to the existing wind power calculation coefficient, and calculating an error value between the predicted wind power generation amount and the actual wind power generation amount:
when the error value is less than or equal to 1%, maintaining the existing wind power calculation coefficient;
and when the error value is larger than 1%, calculating to obtain an actual wind power calculation coefficient, replacing the existing wind power calculation coefficient, and realizing the calibration of the real-time wind power calculation coefficient.
Preferably, the calculation formula of the actual work received by the wind power generation driving module is as follows:
wherein E isWind powerThe wind power generation driving module represents the actual work of the wind power generation driving module, namely the energy of the downwind of a unit cross section, rho represents air density, t represents time, S represents the cross section area, and v represents the wind speed.
Preferably, the solving formula of the predicted wind power generation amount is as follows:
Eelectric power=Cp×EWind power
Wherein E isElectric powerIdeal power generation representing wind work, CpRepresenting the rated wind energy utilization factor of the generator, EWind powerRepresenting the actual work received by the wind power generation driving module in step S1-1;
Epreparation of=EElectric power×ηNow that
Wherein E isPreparation ofRepresenting predicted wind power generation, EElectric powerIdeal power generation, eta, representing wind workNow thatRepresenting the existing wind calculation coefficients.
Preferably, the error value is solved by the following formula:
wherein E isrRepresents an error value, EPreparation ofRepresenting the predicted wind power generation amount calculated in step S1-3, EFruit of Chinese wolfberryRepresentative stepAnd (8) actual wind power generation amount obtained in S1-2.
In step S2, the states of the control switches respectively connected to the loads are detected, and the detection results are returned in real time, so as to realize real-time monitoring of the states of the loads.
In step S3, when the difference is 0, the generated electric energy is distributed to the loads in the on state in order of demand and priority.
In step S3, when the difference is less than 0, the available electric quantity of the energy storage device is obtained, and the excess electric quantity value of the sum of the available electric quantity and the actual power generation amount of the energy storage device and the total electric quantity required by the load in the on state is calculated:
and when the excess electric quantity value is larger than or equal to 0, distributing the generated electric energy and the residual electric energy output by the energy storage equipment to each load in the starting state according to the requirement and the priority order.
In step S3, when the excess electric quantity value is less than 0, an inquiry signal for whether to turn off the load is sent:
if yes, automatically closing a load in an on state with the lowest priority setting level, and performing step S2;
and when the answer is no, distributing the generated electric energy and the electric energy required by the output of the energy storage equipment to each load in the starting state according to the requirement and the priority order, and outputting the residual required electric energy to the loads by the municipal pipe network.
The wind and photovoltaic storage micro-grid system adopts the energy management control method for the wind and photovoltaic storage micro-grid system, and comprises the following steps: the control device, the power generation equipment, the energy storage equipment connected with the output end of the power generation equipment and a plurality of loads are used for outputting electric energy to the energy storage equipment and the loads.
Preferably, the load is a direct current load.
The output end of the energy storage device is connected with a plurality of loads and the municipal pipe network, and the energy storage device is connected with the municipal pipe network through a first inverter so as to convert direct current of the energy storage device into alternating current and transmit the alternating current to the municipal pipe network.
The power generation equipment comprises a photovoltaic power generation device and a wind power generation device, the output end of the power generation equipment is further connected with a second inverter, and the output end of the second inverter is connected with a municipal pipe network so as to convert direct current of the power generation equipment into alternating current and transmit the alternating current to the municipal pipe network.
The control device is connected with the power generation equipment, the energy storage equipment, the control switch of the load, the inverter and the controller of the municipal pipe network so as to control all components of the wind-solar energy-storage micro-grid system, and a power distribution module is arranged in the control device so as to realize the distribution of electric quantity as required;
the output end of the municipal pipe network is also connected with a third reverse inverter to convert alternating current into direct current and transmit the direct current to a load.
Preferably, be provided with first energy storage switch between power generation facility and the energy storage equipment, be provided with second energy storage switch between energy storage equipment and the load, all be provided with a load branch switch between control switch and the load, a plurality of load branch switches are connected with the load master switch respectively, realize the load master switch to the coordinated control of load branch switch, all be provided with the one-way control switch between municipal pipe network and the reverse dc-to-ac converter and between first dc-to-ac converter and the municipal pipe network, realize the control of municipal pipe network input electricity or discharge, one-way control switch, two energy storage switches, a plurality of load branch switches and load master switch all are connected with controlling means, realize controlling means to the control of each components and parts.
The invention has the advantages and positive effects that:
the system increases the predictability of the actual generated energy by predicting the real-time calibration wind power generation amount, performs different treatments on the load and the power distribution according to the relation between the actual generated energy and the total power required by the load, and then realizes automatic distribution control power supply to the power by the control system by setting different priorities to the load, thereby increasing the automatic stable power supply of the system.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic overall flow chart of an energy management control method for a wind-solar-storage microgrid system according to the present invention;
fig. 2 is a flowchart of step S1 of the energy management control method for the wind-solar-storage microgrid system according to the present invention;
fig. 3 is a connection schematic diagram of an energy management control system for a wind-solar-storage microgrid system according to the invention;
fig. 4 is a schematic connection diagram of each switch of an energy management control system for a wind-solar-storage microgrid system.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When a component is referred to as being "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When a component is referred to as being "disposed on" another component, it can be directly on the other component or intervening components may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
As shown in fig. 1 to 2, the present invention provides an energy management controller for a wind-solar-storage microgrid system, comprising the following steps:
step S1: acquiring actual photovoltaic power generation capacity and actual wind power generation capacity, and calibrating a real-time wind power calculation coefficient;
step S2: presetting the priority of each load, and acquiring the real-time state of each load;
step S3: calculating the difference value between the actual generated energy and the total electric quantity required by the load in the opening state, and performing corresponding processing:
when the difference value is larger than 0, whether the energy storage equipment is full is detected:
when the energy storage equipment is not fully filled, distributing the generated electric energy to a load, and outputting the redundant electric energy to the energy storage equipment;
when the energy storage device is full, an inquiry signal is sent whether to turn on the load:
if yes, automatically turning on a load in the off state with the highest priority level, and performing step S2;
and when the answer is no, outputting redundant electric energy to the municipal pipe network.
The step S1 includes:
step S1-1: acquiring wind power information of the environment, and calculating to obtain the actual work of the wind power generation driving module;
step S1-2: acquiring actual photovoltaic power generation capacity and actual wind power generation capacity;
step S1-3: calculating the predicted wind power generation amount according to the existing wind power calculation coefficient, and calculating an error value between the predicted wind power generation amount and the actual wind power generation amount:
when the error value is less than or equal to 1%, maintaining the existing wind power calculation coefficient;
and when the error value is larger than 1%, calculating to obtain an actual wind power calculation coefficient, replacing the existing wind power calculation coefficient, and realizing the calibration of the real-time wind power calculation coefficient.
In the embodiment, the calculation formula of the actual work received by the wind power generation driving module is as follows:
wherein E isWind powerThe wind power generation driving module represents actual work of the wind power generation driving module, namely the energy of the wind under a unit cross section, rho represents air density, t represents time, S represents a cross section area, and v represents wind speed.
In an embodiment, the solution formula for predicting wind power generation is as follows:
Eelectric power=Cp×EWind power
Wherein, EElectric powerIdeal power generation representing wind work, CpRepresenting the rated wind energy utilization factor of the generator, EWind powerRepresenting the actual work received by the wind power generation driving module in step S1-1;
Epreparation of=EElectric power×ηNow that
Wherein E isPreparation ofRepresenting predicted wind power generation, EElectric powerIdeal power generation, eta, representing wind workNow thatRepresenting the existing wind calculation coefficients.
In an embodiment, the error value is solved as follows:
wherein E isrRepresents an error value, EPreparingRepresenting the predicted wind power generation amount calculated in step S1-3, EFruit of Chinese wolfberryRepresenting the actual wind power generation amount obtained in step S1-2.
In step S2, the states of the control switches respectively connected to the loads are detected, and the detection results are returned in real time, so as to realize real-time monitoring of the states of the loads.
In an embodiment, in the step S2, the priority of each load is preset and the required electric quantity of each load is input.
In step S3, when the difference is 0, the generated electric energy is distributed to the loads in the on state in order of demand and priority.
In step S3, when the difference is less than 0, the available electric energy of the energy storage device is obtained, and the excess electric energy value of the sum of the available electric energy of the energy storage device and the actual generated electric energy and the total electric energy required by the load in the on state is calculated:
and when the excess electric quantity value is larger than or equal to 0, distributing the generated electric energy and the residual electric energy output by the energy storage equipment to each load in the starting state according to the requirement and the priority order.
In step S3, when the excess electric quantity value is less than 0, an inquiry signal for whether to turn off the load is sent:
if yes, automatically closing a load in an on state with the lowest priority setting level, and performing step S2;
and when the answer is no, distributing the generated electric energy and the electric energy required by the output of the energy storage equipment to each load in the starting state according to the requirement and the priority order, and outputting the residual required electric energy to the loads by the municipal pipe network.
As shown in fig. 1 to 4, the energy management control method for the wind-solar energy storage microgrid system, which is adopted by the wind-solar energy storage microgrid system, includes: the control device, the power generation equipment, the energy storage equipment connected with the output end of the power generation equipment and a plurality of loads are used for outputting electric energy to the energy storage equipment and the loads.
In an embodiment, the load is a dc load.
The output end of the energy storage device is connected with a plurality of loads and the municipal pipe network, and the energy storage device is connected with the municipal pipe network through a first inverter so as to convert direct current of the energy storage device into alternating current and transmit the alternating current to the municipal pipe network.
The power generation equipment comprises a photovoltaic power generation device and a wind power generation device, the output end of the power generation equipment is further connected with a second inverter, and the output end of the second inverter is connected with a municipal pipe network so as to convert direct current of the power generation equipment into alternating current and transmit the alternating current to the municipal pipe network.
In an embodiment, the wind power generation device comprises a wind power generation driving module, and the wind power generation driving module is used for converting wind energy into electric energy.
The control device is connected with the power generation equipment, the energy storage equipment, the control switch of the load, the inverter and the controller of the municipal pipe network so as to control all components of the wind-solar energy-storage micro-grid system, and a power distribution module is arranged in the control device so as to realize the distribution of electric quantity as required;
the output end of the municipal pipe network is also connected with a third reverse inverter to convert alternating current into direct current and transmit the direct current to a load.
In an embodiment, be provided with first energy storage switch between power generation facility and the energy storage equipment, be provided with second energy storage switch between energy storage equipment and the load, all be provided with a load branch switch between control switch and the load, a plurality of load branch switches are connected with the load master switch respectively, realize the load master switch to the coordinated control of load branch switch, all be provided with the one-way control switch between municipal pipe network and the third reverse inverter and between first dc-to-ac converter and the municipal pipe network, realize the control of municipal pipe network input electricity or discharge, one-way control switch, two energy storage switches, a plurality of load branch switches and load master switch all are connected with controlling means, realize controlling means to the control of each components and parts.
In an embodiment, the system further comprises a collecting device for realizing data collection of wind power information, photovoltaic power generation capacity and wind power generation capacity.
In the embodiment, the acquisition device, the inverter, and the power distribution module are all in the prior art, and are not described herein again.
The working principle and the working process of the invention are as follows:
step S1-1: the method comprises the steps that an acquisition device acquires wind power information of an environment, wherein the wind power information comprises wind speed and wind direction, and actual work done by a wind power generation driving module is calculated;
step S1-2: the method comprises the steps that a collecting device obtains actual photovoltaic power generation capacity and actual wind power generation capacity;
step S1-3: the control device obtains the information collected by the collecting device, calculates the predicted wind power generation capacity according to the existing wind calculation coefficient, and calculates the error value between the predicted wind power generation capacity and the actual wind power generation capacity:
when the error value is less than or equal to 1%, maintaining the existing wind power calculation coefficient;
when the error value is larger than 1%, calculating to obtain an actual wind power calculation coefficient, replacing the existing wind power calculation coefficient, and realizing the calibration of the real-time wind power calculation coefficient;
step S2: presetting the priority of each load, and detecting the state of a control switch of each load by a control device to realize the acquisition of the real-time state of each load;
step S3: the control device calculates the difference value between the actual generated energy and the total electric quantity required by the load in the opening state, and performs corresponding processing:
when the difference value is larger than 0, the control device detects whether the energy storage equipment is full:
when the energy storage equipment is not fully filled, the control device controls the electric quantity distribution module to distribute the generated electric energy to the load and controls the load main switch to be started so as to enable the load sub switch linked with the load main switch to be started, and then controls the start control device to control the start of the first energy storage switch, so that the redundant electric energy is output to the energy storage equipment;
when the energy storage equipment is full, the control device sends out an inquiry signal whether to start the load to the main control console:
the main control station is communicated with the control device through the wireless module, and can be set as an inquiry signal to automatically reply so as to realize full-automatic control power supply;
when the main console returns to yes, the control device automatically turns on a control switch of the load with the highest priority level in the off state, and the step S2 is performed;
when the master control station returns to be no, the control device controls the second inverter to be started, the control device controls the electric quantity distribution module to output the redundant electric energy to the municipal pipe network, or the control device controls the one-way control switch and the first inverter to be started, the control device controls the energy storage device to output the electric quantity to the municipal pipe network, the control device controls the first energy storage switch to be started, and the control device controls the electric quantity distribution module to output the redundant electric energy to the energy storage device;
when the difference value is equal to 0, the control device controls the electric quantity distribution module to distribute the generated electric energy to the loads in the starting state according to the requirements and the priority sequence, and meanwhile, the control device controls the starting of the load main switch to enable the load branch switches linked with the load main switch to be started;
in step S3, when the difference is less than 0, the available electric energy of the energy storage device is obtained, and the control device calculates the excess electric energy value of the sum of the available electric energy of the energy storage device and the actual generated electric energy and the total electric energy required by the load in the on state:
when the excess electric quantity value is larger than or equal to 0, the control device controls the electric quantity distribution module to distribute the generated electric energy and the residual electric energy output by the energy storage equipment to each load in the starting state according to the requirement and the priority sequence, meanwhile, the control device controls the starting of the load main switch to enable the load branch switch linked with the load main switch to be started, and the control device controls the starting of the second energy storage switch.
In step S3, when the excess capacity value is less than 0, the control device sends an inquiry signal to the console whether to turn off the load:
when the answer is yes, the control device controls to automatically close the control switch of the load in the on state with the lowest priority setting level, and the step S2 is performed;
when the answer is no, the control device controls the electric quantity distribution module to distribute the generated electric energy and the electric energy required by the energy storage equipment to the loads in the starting state according to the requirements and the priority order, and the municipal pipe network outputs the rest required electric energy to the loads, so that the control device controls the load main switch to be started so as to enable the load branch switch linked with the load main switch to be started, the control device controls the second energy storage switch to be started, and the control device controls the one-way control switch and the third reverse inverter to be started.
The invention is characterized in that: the system increases the predictability of the actual generated energy by predicting the real-time calibration wind power generation amount, performs different treatments on the load and the power distribution according to the relation between the actual generated energy and the total power required by the load, and then realizes automatic distribution control power supply to the power by the control system by setting different priorities to the load, thereby increasing the automatic stable power supply of the system.
The embodiments of the present invention have been described in detail, but the description is only for the preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. All equivalent changes and modifications made within the scope of the present invention should be covered by the present patent.
Claims (10)
1. An energy management control method for a wind-solar-storage microgrid system is characterized by comprising the following steps of:
step S1: acquiring actual photovoltaic power generation capacity and actual wind power generation capacity, and calibrating a real-time wind power calculation coefficient;
step S2: presetting the priority of each load, and acquiring the real-time state of each load;
step S3: calculating the difference value between the actual generated energy and the total electric quantity required by the load in the opening state, and performing corresponding processing:
when the difference value is larger than 0, whether the energy storage equipment is full is detected:
when the energy storage equipment is not fully filled, distributing the generated electric energy to a load, and outputting the redundant electric energy to the energy storage equipment;
when the energy storage device is full, an inquiry signal is sent whether to turn on the load:
if yes, automatically turning on a load in the off state with the highest priority level, and performing step S2;
and when the answer is no, outputting redundant electric energy to the municipal pipe network.
2. The energy management control method for the wind, photovoltaic and energy storage microgrid system according to claim 1, characterized in that the step S1 includes:
step S1-1: acquiring wind power information of the environment, and calculating to obtain the actual work of the wind power generation driving module;
step S1-2: acquiring actual photovoltaic power generation capacity and actual wind power generation capacity;
step S1-3: calculating the predicted wind power generation amount according to the existing wind power calculation coefficient, and calculating an error value between the predicted wind power generation amount and the actual wind power generation amount:
when the error value is less than or equal to 1%, maintaining the existing wind power calculation coefficient;
and when the error value is larger than 1%, calculating to obtain an actual wind power calculation coefficient, replacing the existing wind power calculation coefficient, and realizing the real-time calibration of the wind power calculation coefficient.
3. The energy management and control method according to claim 2, wherein in step S2, the states of a plurality of control switches respectively connected to the loads are detected, and the detection results are transmitted back in real time, so as to implement real-time monitoring of the states of the loads.
4. The energy management control method for the wind, photovoltaic and energy storage microgrid system according to claim 3, characterized in that in step S3, when the difference is 0, the generated electric energy is distributed to the loads in the on state according to the demand and the priority order.
5. The energy management control method for the wind, photovoltaic and energy storage microgrid system according to claim 4, characterized in that in step S3, when the difference is less than 0, the available electric quantity of the energy storage equipment is obtained, and the excess electric quantity value of the sum of the available electric quantity of the energy storage equipment and the actual electric quantity and the total electric quantity required by the load in the on state is calculated:
and when the excess electric quantity value is larger than or equal to 0, distributing the generated electric energy and the residual electric energy output by the energy storage equipment to each load in the starting state according to the requirement and the priority order.
6. The energy management control method for the wind-solar-storage microgrid system according to claim 5, characterized in that in the step S3, when the excess electric quantity value is less than 0, an inquiry signal for whether to turn off the load is sent out:
if yes, automatically closing a load in an on state with the lowest priority setting level, and performing step S2;
and when the answer is no, distributing the generated electric energy and the electric energy required by the output of the energy storage equipment to each load in the starting state according to the requirement and the priority order, and outputting the residual required electric energy to the loads by the municipal pipe network.
7. A wind-solar-storage microgrid system adopting the energy management control method for the wind-solar-storage microgrid system of any one of claims 1 to 6, comprising: the control device, the power generation equipment, the energy storage equipment connected with the output end of the power generation equipment and a plurality of loads are used for outputting electric energy to the energy storage equipment and the loads.
8. The wind, solar and energy storage microgrid system according to claim 7, characterized in that the output end of the energy storage device is connected with a plurality of loads and a municipal pipe network, and the energy storage device is connected with the municipal pipe network through a first inverter so as to convert direct current of the energy storage device into alternating current and transmit the alternating current to the municipal pipe network.
9. The wind, photovoltaic and wind power storage microgrid system according to claim 8, characterized in that the power generation equipment comprises a photovoltaic power generation device and a wind power generation device, the output end of the power generation equipment is further connected with a second inverter, and the output end of the second inverter is connected with a municipal pipe network so as to convert direct current of the power generation equipment into alternating current and transmit the alternating current to the municipal pipe network.
10. The wind, solar and energy storage microgrid system of claim 9, characterized in that the control device is connected with a power generation device, an energy storage device, a control switch of a load, an inverter and a controller of a municipal pipe network, and a power distribution module is arranged in the control device to realize the distribution of electric quantity according to the demand;
the output end of the municipal pipe network is also connected with a third reverse inverter to convert alternating current into direct current and transmit the direct current to a load.
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CN117578420A (en) * | 2023-11-21 | 2024-02-20 | 国网河北省电力有限公司雄安新区供电公司 | Park electric energy management system and method based on data analysis |
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CN117578420A (en) * | 2023-11-21 | 2024-02-20 | 国网河北省电力有限公司雄安新区供电公司 | Park electric energy management system and method based on data analysis |
CN117578420B (en) * | 2023-11-21 | 2024-06-11 | 国网河北省电力有限公司雄安新区供电公司 | Park electric energy management system and method based on data analysis |
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