CN115733161A - Small distributed energy storage scheduling system and method - Google Patents
Small distributed energy storage scheduling system and method Download PDFInfo
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- CN115733161A CN115733161A CN202211607850.9A CN202211607850A CN115733161A CN 115733161 A CN115733161 A CN 115733161A CN 202211607850 A CN202211607850 A CN 202211607850A CN 115733161 A CN115733161 A CN 115733161A
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Abstract
The invention provides a small distributed energy storage dispatching system and a method, comprising a dispatching center, distributed energy storage equipment and a dispatching terminal, wherein the distributed energy storage equipment and the dispatching terminal are bidirectionally connected with the dispatching center; the dispatching terminal is used for collecting household electricity utilization information, and the electricity utilization information comprises electricity utilization time and electricity consumption; the dispatching center acquires the electricity utilization information through the dispatching terminal, predicts the electricity consumption of three days in the future according to the electricity utilization information, and controls the distributed energy storage equipment to charge at the valley electricity price through the electricity consumption; the method and the device can conveniently predict the household power consumption of three days in the future, reasonably plan the charging time of the distributed energy storage equipment, and reduce the charging cost.
Description
Technical Field
The invention relates to the technical field of energy storage scheduling, in particular to a small distributed energy storage scheduling system and method.
Background
Along with the continuous development of society, the electric equipment that people used is more and more, and corresponding power consumption is constantly increasing, leads to the electric charge that people paid and also constantly increases along with it, simultaneously because the price of electricity is in the state of constantly fluctuating, the problem that the price is unstable exists in the price of electricity, this has just caused that the corresponding electric charge is different when carrying out the equipment power consumption at different times.
Therefore, on the premise of ensuring the electricity consumption of the user, the reasonable planning is carried out on all the electricity consumption electric charges of the user, and the electric charges to be paid are reduced, which is a new problem faced by the current customer.
In order to solve the problem, an energy storage device is usually used for storing electricity, and when the electricity price is higher, a user reduces the corresponding electricity fee by using the stored electricity in the energy storage device, but the energy storage capacity of the existing small distributed energy storage device is only 10kWh, and only three days of domestic electricity can be supported, so that the time for charging the distributed energy storage device needs to be planned, and the electricity fee generated by charging the distributed energy storage device is reduced.
Disclosure of Invention
In order to solve the technical problems, the invention provides a small distributed energy storage scheduling system and a small distributed energy storage scheduling method, which can be used for conveniently predicting the household power consumption of three days in the future, reasonably planning the charging time of distributed energy storage equipment and reducing the charging cost.
In order to achieve the purpose, the invention provides the following technical scheme: a small distributed energy storage dispatching system and method comprises a dispatching center, distributed energy storage equipment and a dispatching terminal, wherein the distributed energy storage equipment and the dispatching terminal are connected with the dispatching center in a bidirectional mode;
the dispatching terminal is used for collecting household electricity utilization information, and the electricity utilization information comprises electricity utilization time and electricity consumption;
the dispatching center acquires the electricity utilization information through the dispatching terminal, predicts the electricity consumption of three days in the future according to the electricity utilization information, and controls the distributed energy storage equipment to charge at the valley electricity price through the electricity consumption.
Preferably, the time in the electricity consumption information is divided into a first quarter time, a second quarter time, a third quarter time, and a fourth quarter time, and the time information of the four quarters is further divided into a working time and a rest time.
Preferably, the dispatching center predicts the electricity consumption of three days in the future by the electricity consumption information as follows:
the first step is as follows: acquiring household electricity utilization information through a scheduling terminal, and dividing the electricity utilization information into office electricity utilization information and rest electricity utilization information;
the second step is that: establishing two neural network prediction models, and training different neural network prediction models respectively through office electricity utilization information and rest electricity utilization information;
the third step: comparing the training result with the actual power consumption, finishing the training when the similarity is smaller than a preset value, and otherwise, repeating the second step;
the fourth step: and predicting the electricity consumption of three days in the future, and recording the prediction result.
Preferably, the method comprises the following steps:
the method comprises the following steps: acquiring the daily electricity consumption of a family through a scheduling terminal, dividing the information of the electricity consumption into working time and rest time, and sending the information of the electricity consumption to a regulation and control center;
step two: the control center divides the obtained electricity consumption information into office electricity consumption and rest electricity consumption to establish two neural network prediction models, and predicts the total electricity consumption of three days in the future;
step three: comparing the predicted power consumption with the electric quantity stored in the distributed energy storage equipment, and directly charging the distributed energy storage equipment when the predicted power consumption is larger than the electric quantity stored in the distributed energy storage equipment; and when the predicted power consumption is smaller than that of the distributed energy storage equipment, the distributed energy storage equipment is charged at a low electricity price.
Preferably, when the predicted power consumption is greater than the power stored in the distributed energy storage device, the process of charging the distributed energy storage device is as follows:
the first step is as follows: acquiring a predicted electricity consumption value, and calculating a charging emergency value A of the distributed energy storage equipment;
the second step: acquiring a charging emergency value A, and dividing the charging condition of the distributed energy storage equipment into general charging and regulation charging through the charging emergency value A; wherein
B Preparation of For three days in the futureElectric power consumption of B Store up The amount of electricity stored for the distributed energy storage devices;
the third step: regulate and control charging to
When the household power supply is started, the distributed energy storage equipment is controlled to be charged at the low valley price, and the household power consumption equipment is directly supplied with power through a power grid; generally charged as
The household power consumption equipment is powered through the distributed energy storage equipment, and the distributed energy storage equipment is charged at the low valley electricity price.
The invention has the beneficial effects that: through the division of the power consumption of the working hours and the power consumption of the rest hours, the error of the neural network prediction model for predicting the power consumption of three days in the future is reduced, so that the accuracy of the prediction result of the household power consumption of three days in the future is improved, the charging time of the distributed energy storage equipment is conveniently and reasonably planned, and the charging cost is reduced.
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 without limiting the invention in which:
fig. 1 is a schematic diagram of a simple structure of a small distributed energy storage scheduling system and method according to the present invention.
Detailed Description
In order to make the technical means, the original characteristics, the achieved purposes and the effects of the invention easily understood, the invention is further described below with reference to the specific embodiments and the attached drawings, but the following embodiments are only the preferred embodiments of the invention, and not all embodiments are provided. Based on the embodiments in the implementation, other embodiments obtained by those skilled in the art without any creative efforts belong to the protection scope of the present invention.
Referring to fig. 1, a small distributed energy storage scheduling system and method includes a scheduling center, and a distributed energy storage device and a scheduling terminal that are bidirectionally connected to the scheduling center, where the distributed energy storage device is used to supply power to a household electrical device;
the dispatching terminal is used for collecting household electricity utilization information, and the electricity utilization information comprises electricity utilization time and electricity consumption;
and the dispatching center acquires the power utilization information through the dispatching terminal, predicts the power consumption of the three days in the future according to the power utilization information, and controls the distributed energy storage equipment to charge at the low valley electricity price through the power consumption.
The method has the advantages that the power consumption of three days in the future is predicted and compared with the power consumption stored in the distributed energy storage equipment, so that the charging time of the distributed energy storage equipment is conveniently and reasonably planned, the charging cost is reduced, the working time and the rest time in historical data are separated, wherein the working time refers to Monday to Friday, the rest time refers to weekend, the household power consumption in the working time period is almost not used, but the household power consumption in the rest time is greatly increased compared with the power consumption in the time at ordinary times, the data of the working time and the data of the rest time are separated, the accuracy of the predicted data is improved, the household power consumption of three days in the future can be conveniently predicted, the charging time of the distributed energy storage equipment is reasonably planned, and the charging cost is reduced.
The time in the electricity information is divided into a first quarter time, a second quarter time, a third quarter time and a fourth quarter time, and the time information of the four quarters is further divided into a working time and a rest time.
The dispatching center predicts the electricity consumption of the three days in the future through the electricity consumption information as follows:
the first step is as follows: acquiring household electricity utilization information through a scheduling terminal, and dividing the electricity utilization information into office electricity utilization information and rest electricity utilization information;
the second step is that: establishing two neural network prediction models, and training different neural network prediction models respectively through office electricity utilization information and rest electricity utilization information;
the third step: comparing the training result with the actual power consumption, finishing the training when the similarity is smaller than a preset value, and otherwise, repeating the second step;
the fourth step: and predicting the electricity consumption of three days in the future, and recording the prediction result.
The neural network prediction model is repeatedly trained through historical data, iteration is carried out continuously until the similarity between the predicted power consumption and the actual power consumption is smaller than a preset value X, and therefore the prediction precision of the neural network prediction model is improved step by step, the power consumption in three days in the future is predicted accurately, and the prediction precision is improved.
The method comprises the following steps:
the method comprises the following steps: acquiring the daily electricity consumption of a family through a scheduling terminal, dividing the information of the electricity consumption into working time and rest time, and sending the information of the electricity consumption to a regulation and control center;
step two: the control center divides the obtained electricity consumption information into office electricity consumption and rest electricity consumption to establish two neural network prediction models, and predicts the total electricity consumption of three days in the future;
step three: comparing the predicted power consumption with the electric quantity stored in the distributed energy storage equipment, and directly charging the distributed energy storage equipment when the predicted power consumption is larger than the electric quantity stored in the distributed energy storage equipment; and when the predicted power consumption is smaller than that of the distributed energy storage equipment, the distributed energy storage equipment is charged at a low electricity price.
Wherein through future power consumption to the electric quantity that power consumption and distributed energy storage equipment that will predict stored contrasts, thereby be convenient for reasonable arrangement distributed energy storage equipment charges when the low ebb electricity price, has reduced the charges of electricity, can be convenient predict the power consumption of family three days in the future, and the charge time of rational planning distributed energy storage equipment.
When the predicted power consumption is larger than the power stored in the distributed energy storage device, the distributed energy storage device is charged as follows:
the first step is as follows: acquiring a predicted electricity consumption value, and calculating a charging emergency value A of the distributed energy storage equipment;
the second step is that: obtaining a charging emergency value A and chargingThe emergency value A divides the charging condition of the distributed energy storage equipment into general charging and regulation charging; wherein
B Preparation of Predicted power consumption for three days in the future, B Store up The amount of electricity stored for the distributed energy storage devices;
the third step: regulate and control charging to
When the household power supply is started, the distributed energy storage equipment is controlled to be charged at the low valley price, and the household power consumption equipment is directly supplied with power through a power grid; generally charged as
And when the household power consumption equipment is charged, the household power consumption equipment is powered through the distributed energy storage equipment.
Wherein
It can also be divided into
And A < 0, wherein when A < 0, no matter the peak electricity price or the usual electricity price, the household electric equipment is directly supplied with power through the power grid, and then the household electric equipment is supplied with power through the power grid when the valley electricity price is reached, and when A < 0, the household electric equipment is supplied with power through the power grid
When, if be in the peak this moment or when the price of electricity at ordinary times, use distributed energy storage equipment to supply power to domestic power consumption equipment earlier, the electric quantity that stores up to distributed energy storage equipment exhausts, supply power to domestic power consumption equipment through the electric wire netting again to charge distributed energy storage equipment when the price of electricity is to the low ebb price, reduced the expense that distributed energy storage equipment charges, can be convenient predict three days domestic power consumption in the future, and rationally plan distributed energy storage equipmentThe charging time of the device.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (5)
1. A small distributed energy storage dispatching system comprises a dispatching center, distributed energy storage equipment and a dispatching terminal, wherein the distributed energy storage equipment and the dispatching terminal are connected with the dispatching center in a bidirectional mode;
the dispatching terminal is used for collecting household electricity utilization information, and the electricity utilization information comprises electricity utilization time and electricity consumption;
and the dispatching center acquires the power utilization information through the dispatching terminal, predicts the power consumption of the three days in the future according to the power utilization information, and controls the distributed energy storage equipment to charge at the low valley electricity price through the power consumption.
2. A small distributed energy storage scheduling system according to claim 1, characterized in that: the time in the electricity information is divided into a first quarter time, a second quarter time, a third quarter time and a fourth quarter time, and the time information of the four quarters is further divided into a working time and a rest time.
3. A small distributed energy storage scheduling system according to claim 2, characterized in that: the dispatching center predicts the electricity consumption of the three days in the future through the electricity consumption information as follows:
the first step is as follows: the method comprises the steps that household electricity utilization information is obtained through a scheduling terminal, and the electricity utilization information is divided into office electricity utilization information and rest electricity utilization information;
the second step is that: establishing two neural network prediction models, and respectively training different neural network prediction models through office electricity utilization information and rest electricity utilization information;
the third step: comparing the training result with the actual power consumption, finishing the training when the similarity is smaller than a preset value, and otherwise, repeating the second step;
the fourth step: and predicting the electricity consumption of three days in the future, and recording the prediction result.
4. A small distributed energy storage scheduling method is characterized by comprising the following steps:
the method comprises the following steps: acquiring the daily electricity consumption of a family through a scheduling terminal, dividing the information of the electricity consumption into working time and rest time, and sending the information of the electricity consumption to a regulation and control center;
step two: the control center divides the obtained electricity consumption information into office electricity consumption and rest electricity consumption to establish two neural network prediction models, and predicts the total electricity consumption of three days in the future;
step three: comparing the predicted power consumption with the electric quantity stored in the distributed energy storage equipment, and directly charging the distributed energy storage equipment when the predicted power consumption is greater than the electric quantity stored in the distributed energy storage equipment; and when the predicted power consumption is smaller than that of the distributed energy storage equipment, charging the distributed energy storage equipment at a low electricity price.
5. The small distributed energy storage scheduling method according to claim 4, characterized in that: when the predicted power consumption is larger than the electric quantity stored in the distributed energy storage equipment, the distributed energy storage equipment is charged as follows:
the first step is as follows: acquiring a predicted electricity consumption value, and calculating a charging emergency value A of the distributed energy storage equipment;
the second step is that: acquiring a charging emergency value A, and dividing the charging condition of the distributed energy storage equipment into general charging and regulation charging through the charging emergency value A; wherein
B Preparation of Predicted power consumption for three days in the future, B Store up The amount of electricity stored for the distributed energy storage devices;
the third step: regulate and control charging to
When the household power supply is started, the distributed energy storage equipment is controlled to be charged at the low valley price, and the household power consumption equipment is directly supplied with power through a power grid; generally charged as
And when the household power consumption equipment is charged, the household power consumption equipment is powered through the distributed energy storage equipment.
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| CN117498416A (en) * | 2024-01-03 | 2024-02-02 | 合肥国轩高科动力能源有限公司 | Method and device for formulating discharge strategy of energy storage battery and electronic equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117498416A (en) * | 2024-01-03 | 2024-02-02 | 合肥国轩高科动力能源有限公司 | Method and device for formulating discharge strategy of energy storage battery and electronic equipment |
| CN117498416B (en) * | 2024-01-03 | 2024-04-19 | 合肥国轩高科动力能源有限公司 | Method and device for formulating discharge strategy of energy storage battery and electronic equipment |
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