KR20160028880A - Management Methode of ESS By Electric Power Demand Prediction - Google Patents

Abstract

The present invention relates to a management method of ESS by means of electricity demand prediction and comprises the steps of: matching (s90) of a characteristic of the same date; extracting (s100) of charge electricity amount of the previous year of a certain date; extracting (s200) of a fluctuation rate in electricity on the basis of population change; extracting (s300) of a change capacity of the charge demand electricity amount on the basis of a facility change; extracting (s400) of a change rate of the charge demand electricity amount on the basis of a temperature variation; predicting (s500) of the demand by calculating the fluctuation rate of the electricity and the charge electricity on the basis of population change and the temperature variation, and the charge electricity of the previous year; detecting (s600) of residual capacity of ESS; selecting (s700) of whether to charge or to discharge on the basis of the residual capacity; determining (s800) of whether the unit price of charge is the lowest or not; and determining (s900) of when the peak time of discharge is.

Description

A method for operating an ESS through demand forecasting

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a power supply system having an ESS (Energy Storage System), and more particularly to a power system (a commercial power supply network such as KEPCO, hereinafter referred to as a power system) The present invention relates to a control method for controlling charging and discharging so that unneeded charging or discharging is not performed in an ESS capable of supplying electric power to a load as well as charging.

Although there are many variables in determining and operating the ESS charge / discharge time, changes in the number of users, changes in load facilities, and electricity charges at the time of weather and charge / discharge are important factors in the operation of electric power facilities.

To this end, the present invention relates to a demand forecasting system that selects and controls optimum charging and discharging points by reflecting power cost, expected consumption amount, and weather information in a power facility having an ESS as a general electric power facility such as an apartment, And how to operate the ESS.

Energy storage system (ESS), which is the core of Smart Grid in recent years, is a system for storing energy, and various devices are being developed. A typical example of this is a battery And discharging at a time when power demand is high. This is commonly referred to as a grid-connected energy storage system.

Also, Korean Patent Registration No. 10-1168153 (Energy Demand Forecasting of Buildings and its System) utilizing artificial intelligence network is proposed to predict the energy consumption of buildings according to the weather change based on energy consumption data of buildings.

Also, a power storage system and a control method using reference power price information and real-time power information are proposed in Korean Patent Registration No. 10-1379343 (control method of energy storage system and storage system)

The method of predicting the known power demand not only utilizes the energy consumption pattern that does not reflect the increase / decrease of facilities or the increase / decrease of the population, but also the characteristic (holiday, holiday season, weekday) There is a problem in that accurate prediction can not be performed because it is not reflected and does not reflect the temperature difference with the date to be predicted.

In addition, when charging / discharging, it simply compares the electricity charges at the time of charging / discharging, which makes it difficult to grasp the economical efficiency due to charging and discharging.

Korean Registered Patent No. 10-1168153 (registered July 10, 2012) Korean Registered Patent No. 10-1379343 (Registered on March 23, 2014)

The object of the present invention is to solve the above-mentioned problems, and it is an object of the present invention to provide an ESS management system which extracts and controls the optimum charge amount to be charged in the ESS and the discharge amount in the most economical condition, Method.

According to an aspect of the present invention, there is provided a method of operating a power supply system including a self-generating device and a power storage device,

A commercial power supply system 100 including a power transformer and a circuit breaker for supplying power to the power system 600 and supplying the power to the load. It is possible to store electric power generated from the self-generated power generation facility 200, the commercial power supply facility 100 and the self-generated power facility 200, or to receive and store power from the commercial power supply facility 100, A load 500 receiving power from the commercial power supply facility 100 or the self power generation facility 200 or the power storage facility 400, An integrated control unit for controlling the commercial power supply facility 100, the own power generation facility 200, the power storage facility 400 and the load 500 or for receiving the load history, the diary, (300) and a control signal of the integrated controller (300). A self-generating device composed of a switching unit 700 (which is simplified in the drawing of the present invention) for interconnecting the self-power generation facility 200, the ESS 400, and the load 500 to supply or receive power, In the power supply system equipped with the storage device, the integrated controller 300 determines the electric power demand, determines the ESS chargeability, the reverse power transmission, and the self-use, will be.

Particularly, the integrated control unit 300 controls the power consumption status of the controlled equipment, the status of equipment history, the manpower status using the control equipment, the power consumption trend statistics according to the temperature and humidity change, and the parameters to be controlled from the communication network or the input device A storage unit 310 for receiving and storing input data, an operation unit 320 for computing the stored or input control variables and outputting the operation result, and a control unit 330 for controlling the load 500 through control signals through wired / And a communication unit 330 for transmitting / receiving signals sensed by each facility and the load, and communicating with the outside through a wired / wireless communication network. A display device and an output device for displaying an input device, a control result, and a control status for inputting necessary data by the user are connected to the integrated control part. Particularly, the integrated control unit 300 is provided with a commercial power supply as a load, a commercial power is rectified and charged to a power storage facility, the production power of the self-power generation facility is controlled to charge the power storage facility, Or a function of controlling reverse transmission to a commercial power supply line. These functions and techniques are not only described in the above-mentioned prior art research documents but also functions disclosed in Korean Patent No. 10-1322617 and the like, .

Although not specifically described in the present invention, the power supply unit for operation of the integrated control unit 300 is known or publicized in the art, so that description thereof is omitted and not shown.

In the present invention, the measuring equipment and the sensing equipment such as the switchgear transformer and the like constituting the commercial power supply equipment, such as the switchboard, the voltage, the electric current and the power meter, utilize the known power transmission and distribution equipment of this field, and a detailed description thereof will be omitted.

In addition, a power storage device that charges electric power such as a capacitor, a battery, and discharges the charged electric power, and a battery management system (BMS) that manages the electric power storage device utilize a known storage device technology in this field, and a detailed description thereof will be omitted.

Also, the self-power generation facility 200 utilizes the self-generated power generation system utilized in this field, and thus a detailed description thereof will be omitted.

Also, the change in the amount of electric power or the change in the amount of charge according to the change of the temperature and humidity is the data accumulated by the specification and the operating experience of the equipment used by the user, and the change in the electric power consumption for the holiday, (Not shown) based on the extracted data and uses the stored data table (not shown).

In the present invention, when the demand date and the same date of the immediately preceding year are compared, it is determined that the same day of the week is the same day of the week, Setting.

 A method of operating a power supply system having a self-generating device and a power storage device having the above-

In a method of operating an ESS through demand forecasting,

A characteristic matching step s90 of the same date,

The immediately preceding year charging power amount extraction step (s100) of the specified date,

The power increase / decrease rate extraction step according to population change (s200),

Change in Charge Demand Electricity Amount due to Facility Changes In step S 300,

The rate of change of the charged power amount in accordance with the temperature change (step S400)

A demand amount prediction step (s500) for calculating a rate of change in the population change rate, a rate of change in the charge amount and a charge amount in the immediately preceding year,

ESS remaining capacity detection step (s600),

The charge / discharge selection step (S700) according to the remaining capacity,

A step S800 of determining whether the charging unit price is lowest,

 And a peak time determination step (S900) for the discharge.

As described above, according to the operation method of the ESS through the demand forecasting of the present invention, in order to grasp the amount of charge demand that can be consumed on the day of the present day, It is necessary to extract the charging electric power demand pattern and to grasp the current residual capacity of the ESS which is a self-owned facility, determine charging electric power charges at the time of charging, If it is determined that the remaining capacity is the minimum capacity for power outage, then it is charged only the minimum capacity, after the point of application of the lowest charge, after determining the efficiency according to the charging and discharging efficiency of the current ESS battery, If the loss cost and the discharge charge are higher than the charge charge, the charge is maximized. If the charge charge and the discharge charge are the same or cheaper, The ESS charging and discharging are determined by comparing the charging unit price according to the type of the electric power charged when the ESS is charged and the discharge unit cost in the present state by discharging, It is possible to save energy and reduce electric power charges.

FIG. 1 is a system block diagram to which an operating method of an ESS according to the present invention is applied.
FIG. 2 is a control flowchart for controlling a power facility performed by the integrated control unit shown in FIG. 1; FIG.
3 is a flowchart of the demand forecasting and charging process shown in FIG.
FIG. 4 is a flow chart of the discharge process shown in FIG. 2; FIG.

These and other objects and novel features of the present invention will become more apparent from the description of the present specification and the accompanying drawings.

First, as shown in FIG. 1, the electric power generating apparatus 200 is electrically connected to the integrated control unit 300, the load 500, the electric power storage facility 400, the switching unit 700, and the power system 600 And a power supply system including a self-generating device and a power storage device capable of transmitting and receiving signals and control signals sensed through power line communication, communication wire / wireless communication line, and the like.

 In the present invention, the user of the present invention records and stores the average amount of electric power or the charge amount used on a daily basis to calculate a weekly average electric power demand amount or a charge electric power amount (a measurement value measured in general power management such as a voltage, , Hereinafter referred to as the charging power amount for convenience of explanation) or may be stored in the database in terms of year, month, etc., and stored in the database, and the charging amount according to the weather conditions A computation program for estimating a rate of change or a rate of change of temperature created by the user based on the experience value (this is a statistical method based on experience based on the user's facility operation or a statistical method known in the art, Etc., the accumulated data is processed and secured Or extracted when needed to save a semiconductor storage device that is connected to 300, the integrated controller to provide at the request of the integrated control unit 300 (the memory).

In addition, the user acquires diary information, weather forecast, power charge information, and peak time information that affect the charge demand, and the user connected to the control unit inputs the information through an input device (not shown) And stored in the memory. The above-described various data scaling and securing processes utilize methods known in the art, so that detailed description thereof will be omitted in the present invention.

 Hereinafter, a method of controlling a power supply system to which an ESS operation method based on demand forecasting is applied will be described in detail with reference to FIGS.

When the user activates the system for the implementation of the present invention, the integrated controller 300 receives the date for predicting the charge demand. The integrated control unit 300 receives the data from the database and compares the same date on the same day of the immediately preceding year with the date on which demand prediction is requested from the database. Step s90 is performed. Next, the immediately preceding year charging power amount extraction step (s100) of the specified date corresponding to the date of the same characteristic corresponding to the input date is performed.

 Next, the population change of the resident manpower of the facility stored in the memory is extracted, and the power increase / decrease rate extraction step (s200) according to the population change is performed to extract the power increase / decrease according to the stored population change stored beforehand.

 Next, a change capacity charging capacity step (s300) of the charging demand power amount according to the facility change for extracting the charging demand power variation from the facility history database storing the facility expansion, repair, change, etc. of the facility is performed.

Next, the rate of change of the charging power amount according to the temperature change for extracting the rate of change of the charging power amount according to the temperature change is performed in the facility stored in the database constructed by the user (s400). In the present invention, the rate of change of the charging power per 1 degree of reference temperature 25 degree reference established by the user considering the change of the charging / discharging efficiency according to the temperature characteristic due to the characteristics of the battery as well as the change of the charging condition varying with the temperature, to be. This may vary depending on the conditions of the facility, and the specific ratio table is not presented because it is a user's choice of artificial change. In addition, all databases created and constructed by the user in the present invention are also constructed by the user based on experience and can not be arbitrarily changed in accordance with the actual operation state of the facility.

The power extracted from the immediately preceding year charging power amount extraction step (s100) is extracted from the rate of change of the charging power amount extracted in the power increasing and decreasing rate extracting step (s200) The rate of change of the charging power demand and the rate of change of the charging power amount according to the temperature change, which are calculated by multiplying the rate of change of the charging power demand, A demand amount predicting step (S500) for calculating the immediately preceding year charging power amount is performed.

Then, the integrated controller 300 communicates with the ESS equipped with a battery management system (BMS) that manages the storage battery by using a method known in the art, as shown in the prior art document, and detects the remaining amount of the battery, (S600) for determining the required amount of charge and the dischargeable amount, and storing it in a memory.

In the charging / discharging selection step (s700) according to the residual capacity for judging whether the battery remaining capacity is detected in the ESS remaining amount detecting step (s100) and whether it is a necessary charging state to be necessarily charged or a state in which charging or discharging can be selected, .

If the residual capacity is equal to or more than a certain range of the ESS charge capacity in the charge / discharge selection step (s700) according to the remaining capacity, that is, 80% or more in the present invention, a peak time determination step (s900) And if it is 80%, the charging process is performed. It is obvious that the user can arbitrarily select

 In the charge process when the charge capacity is 80% in the charge / discharge selection step (S700), it is first determined that the residual capacity is within a certain range of the charge capacity at the time of power failure, that is, (S710) of judging whether or not the remaining capacity of the remaining capacity for use in determining whether the excess capacity is over a certain range is equal to or larger than a predetermined range, and if the residual capacity is less than 120% ) To charge the battery until it is charged by the amount corresponding to the capacity for power failure, and then performs a step S800 of determining whether the charging unit is at the lowest point, which will be described later.

If it is determined in step S710 that the residual charge amount is equal to or less than a predetermined range, it is determined whether the current charge state is the minimum charge application period (S800) of determining whether or not the charging unit price is the lowest.

If it is determined that the charging unit price is not the lowest, step S810 is performed. In step S810, a minimum power tariff waiting step (S810) is performed. The economic comparison step (s811) is performed,

If the charge unit price is the lowest charge in the step of determining whether the charging unit is at the lowest point (s800), the integrated controller 300 determines whether the data is the data created by the user referring to the ESS characteristic table (this is a table created artificially, The charge rate calculated by multiplying the charge / discharge loss rate by the lowest charge and the discharge charge at discharge (usually the power charge applied to the peak time in commercial power) is calculated by multiplying the charge / discharge loss rate by the lowest charge using the data sheet provided by the manufacturer (S811) considering the ESS efficiency to compare the charge /

If the charging cost is higher than the discharge cost in the charging / discharging economy comparison step (s811) considering the ESS efficiency, the charging step (s812) is performed only by the charging demand amount of the corresponding day to be charged only by the charging demand amount of the day, The ESS performs the corresponding maximum efficiency charging step (s813) for charging with the maximum charging capacity at which the ESS can be most efficiently charged.

If the remaining capacity in the charge / discharge selection step s700 according to the residual capacity is more than a certain range of the ESS charge capacity, that is, 80% or more in the present invention (in the present invention, The present invention is not limited to this, and it is obvious that the user can select it considering the characteristics of the equipment and is not limited to this.) It is possible to determine whether the electric power rate secured from the power exchange or the like is the most expensive time A peak time determination step (S900) for determining whether a peak time is to be performed, and if it is not the peak time power charge application time in the peak time determination step (S900) (S910) of waiting for the power supply to the load in parallel with the system power or until the arrival of the peak time for power supply to the load by the ESS alone, Performed, and performs the power supply unit ESS economic comparison step (s920) to be described later after the arrival.

In the peak time determination step (s900), the integrated control unit 300 compares the peak charge time and the charge time at the time of charge considering the charge efficiency stored in the memory. If the peak charge rate is higher than the charge time ESS power supply unit cost comparison step (step S920) is performed to compare whether it is inexpensive or not.

In the ESS power supply unit price economical efficiency comparison step s920, when the peak electric power charge is higher than the charge cost, the required electric power storage step excluding the required storage capacity (s930) is performed , And if the peak electric power charge is not higher than the charge charge, the discharge waiting step (S940) of maintaining the charged state is performed. Thereafter, the integrated controller 300 periodically performs a peak time determination step (s900) for the discharge. In the present invention, the execution cycle is a 24-hour cycle. It will be obvious that the user can select according to the actual operating conditions.

By applying the method of operating the ESS through demand forecasting according to the present invention and operating the electric power facility equipped with the electric power storage device, the electric power stored in the electric storage device and the commercial electric power can be efficiently selected and operated, , The power storage device can be efficiently operated.

100: Commercial power supply equipment
200: Self-generated power plant
300: Battery
400: Power storage facility
500: Load
600: System power

Claims (3)

In a method of operating an ESS through demand forecasting,
The feature matching step of the same date
The charging power amount extraction step of the immediately preceding year of the specified date
The power increase rate extraction step according to population change
Change of Charging Demand Electricity Amount due to Equipment Change
The step of extracting the rate of change of the charging power amount in accordance with the temperature change
A demand amount prediction step of calculating a rate of change in the population change rate, a change rate according to the temperature change, a change rate of the charge power amount,
The ESS remaining capacity detection step is performed, and then the charging step or the discharging step is performed.
The method according to claim 1,
The charging step is
Determining whether or not the remaining capacity is within a predetermined range of the reserve capacity at the time of power failure;
The step of determining whether the charging unit price is the lowest is
At the lowest power tariff standstill phase
Comparison of charging and discharging economical efficiency considering ESS efficiency
Only the amount of charge required for the day of charge,
And performing one of the maximum efficiency charging steps in the corresponding day. 3. The method of claim 2,
In the discharging step,
A peak time determination step for discharging
ESS power supply unit cost comparison step and
Excluding the required storage capacity, and performing either the power discharge step or the discharge waiting step.

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