KR20190140296A - Operation system and method for virtual power plant using risk analysis - Google Patents

Abstract

Provided is a virtual power plant operating system capable of maintaining the stability of a power system by receiving previously scheduled backup power from a power plant, even if the power supply or charge/discharge by the power bid amount is impossible due to the occurrence of an error of a predicted value of power plant and charge/discharge for the distributed power by unexpected equipment failures or abnormal weather.

Description

Operation system and method for virtual power plant using risk analysis}

The present invention relates to a virtual power plant operating system, in particular, virtual power plant operation using the risk analysis to maintain the stability of the power system by removing the prediction error through the risk analysis on the prediction of the generation amount and charge / discharge amount of the distributed power group System and method.

In order to complement the existing centralized power supply centered power supply system, distributed energy resources (DER), which are installed and operated in small and medium sizes near the demand site, is being actively introduced.

Distributed power supply can be installed in a short period of time in the required area and the generator can be started within a short time, contributing to the short-term stabilization of the power system.In the event of a power shortage, it is possible to flexibly and effectively meet the maximum demand by additional power generation. It can be used to improve system reliability and power quality. These distributed power sources have recently been built with power generation facilities that use environmentally friendly energy sources such as hydropower, wind power, solar power, and charging / discharging facilities such as energy storage devices. The installation is possible because there is the least restriction on the place, and because it can be installed and operated in a variety of forms desired by the operator from a small power generation plant to a large power generation plant is preferred.

In order to replace the role of the existing central feeder by the distributed power sources, a control strategy must be established to effectively link the operation of the existing power system. A typical power generation system linkage strategy of distributed power generation is a virtual power plant (VPP). In order to participate in the wholesale power market and grid operation, the virtual power plant uses an integrated management system to operate various types of distributed power distributed in the power grid as a single power generation system using advanced information and communication technology and automatic control technology. it means.

The above-described virtual power plant predicts power generation of distributed power generation using modeling of various distributed power generation, and controls power bidding in the power trading market according to the predicted power production.

However, the conventional virtual power plant has not considered the risks caused by abnormal operation of the distributed power supply due to unexpected failure of the distributed power supply or abnormal weather occurrence in the installation area of the distributed power supply. Therefore, the conventional virtual power plant is unable to actively cope with the unexpected risk described above, resulting in instability of the power system.

The present invention is to provide a virtual power plant operating system and method using the risk analysis that can maintain the stability of the power system by removing the prediction error through the risk analysis for the operation prediction of the distributed power supply.

Virtual power plant operating system according to an embodiment of the present invention, a distributed power supply group having one or more power generation facilities and charging / discharging facilities; A prediction unit for predicting generation amount, power production amount and charge / discharge amount for a second time point of the distributed power supply group at a first time point from a modeling result of each facility of the distributed power supply group based on information data; A risk analysis unit for analyzing a risk of a prediction result based on the information data; And reserve at least one of backup power and backup assistance service to an external power plant based on the risk at the first time point, and distribute the power according to at least one of a power bid and an auxiliary service bid based on the prediction result at the second time point. And a control unit which compares the power supply and charge / discharge performed by the system in the power group with the bid amount so that at least one of the reserved backup power and the backup auxiliary service is supported in the system.

According to an embodiment of the present invention, a method for operating a virtual power plant includes power generation and power for a second time point of a distributed power supply group at a first time from a modeling result of a distributed power supply group including one or more power generation facilities and a charge / discharge facility. Predicting the yield and the charge / discharge amount; Analyzing a risk of a prediction result based on the information data, and reserving backup power to an external power plant at the first point of time based on the risk; Performing power bidding on the power trading market according to the prediction result at the second time point, and feeding power to the system from the distributed power supply group; And comparing the power supply amount and the bid power amount of the distributed power supply group, and controlling the backup power reserved by the power plant to be supplied to the system according to the comparison result.

The virtual power plant operating system of the present invention predicts the generation amount, power production amount, and charge / discharge amount of the distributed power group, and analyzes the risk of the predicted value to reserve backup power in a large-scale external power plant.

Therefore, the virtual power plant operating system of the present invention is scheduled backup from the power plant even if the error of the predicted value is generated due to unexpected equipment failure or abnormal weather, such that the power supply or charging / discharging of the bid amount is not possible in the distributed power supply group. Power can be supported to increase the operational efficiency of the virtual plant operating system while maintaining system stability.

1 is a view showing a virtual power plant operating system according to an embodiment of the present invention.
2 is a diagram illustrating a configuration of an operation module of FIG. 1.
3 is a diagram illustrating a configuration of the modeling unit of FIG. 2.
4 is a diagram illustrating a configuration of a prediction unit of FIG. 2.
5 is a view showing the configuration of the risk analysis unit of FIG.
6 is a view showing the configuration of the control unit of FIG.
7 and 8 are views showing a virtual power plant operating method using a virtual power plant operating system of the present invention.

Hereinafter, the configuration and operation of the present invention will be described with reference to the accompanying drawings.

It should be noted that the same elements among the drawings are denoted by the same reference numerals and symbols as much as possible even though they are shown in different drawings. In the following description of the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted. In addition, when a part is said to "include" a certain component, this means that it may further include other components, except to exclude other components unless otherwise stated.

In addition, the terms or words used in the specification and claims are not to be interpreted in a conventional, dictionary sense, and the inventors may appropriately define the concept of terms in order to best explain their own invention. Based on the principle, it should be interpreted as meaning and concept corresponding to the technical idea of the present invention. Therefore, the embodiments described in the present specification and the configuration shown in the drawings are only preferred embodiments of the present invention, and do not represent all of the technical idea of the present invention, and various equivalents may be substituted for them at the time of the present application. And variations may be present and the scope of the present invention is not limited to the embodiments described below.

1 is a view showing a virtual power plant operating system according to an embodiment of the present invention.

Referring to FIG. 1, the virtual power plant operating system 100 of the present embodiment predicts the operation of the power trading market 200 and the distributed power supply group 102 connected through a communication network, and accordingly, the power of the distributed power supply group 102. The operation of bidding, feeding, charging and discharging can be controlled. In addition, the virtual power plant operating system 100 may analyze the risk of predicting the operation of the distributed power supply group 102 and request a backup to the power plant 300 based on the analysis result. The virtual power plant operating system 100 may include an operation module 101 and a distributed power group 102. The operation module 101 and the distributed power group 102 may be connected through a communication network. In addition, the operation module 101, the power transaction market 200 and the power plant 300 may also be connected through a communication network. The distributed power supply group 102 and the power plant 300 may be connected to the system 250.

Here, the distributed power supply group 102 may include one or more power generation facilities 103 and the charge / discharge facilities 104. The power generation facility 103 may be a facility for producing renewable energy such as solar power generation or wind power generation. The charge / discharge facility 104 may be a facility such as an energy storage system (ESS).

The power plant 300 may be a power plant having a traditional meaning, that is, a large central feeder. The power plant 300 may include a bio-plant, a combined cycle power plant, a fuel cell, hydraulic power, hydropower, and a large capacity energy storage device (ESS).

In addition, the power trading market 200 may include a number of trading markets, such as the capacity market, power market and auxiliary service market. The capacity market is a market in which electricity is traded on a monthly or yearly basis, the power market is a market in which power is traded on an hourly or daily basis, and the auxiliary service market may mean a market in which power is traded on a second or minute basis.

Hereinafter, the virtual power plant operating system 100 of the present invention described above with reference to the drawings in detail.

2 to 6 are views showing the configuration of the operation module of FIG.

As shown in FIG. 2, the operation module 101 may include a modeling unit 110, a prediction unit 120, a risk analysis unit 130, and a control unit 140.

2 and 3, the modeling unit 110 logically models the physical distributed power supply group 102 and the power trading market 200 based on externally provided information data Data_I, and modeling accordingly. Data Data_M may be output. The modeling data Data_M includes at least one of modeling information for the power generation unit 103 of the distributed power supply group 102, modeling information for the charging / discharging facility 104, and modeling information for the power trading market 200. can do.

The facility modeling unit 111 of the modeling unit 110 performs modeling on the power generation unit 103 and the charge / discharge facility 104 of the distributed power supply group 102 based on the information data Data_I. Data_M) can be output. The facility modeling unit 111 is a modeling including information such as the configuration, state, power generation capacity, and power production amount of the power generation facility 103 and information such as configuration, state, and charge / discharge capacity of the charge / discharge facility 104. Data Data_M may be output.

The market modeling unit 113 of the modeling unit 110 may output the modeling data Data_M by performing modeling on the power trading market 200 based on the information data Data_I. The market modeling unit 113 may output modeling data Data_M including information such as bid type and bid amount of the power trading market 200.

The storage unit 115 may store modeling data Data_M according to modeling results of each of the facility modeling unit 111 and the market modeling unit 113. When the storage unit 115 receives new information data Data_I from the outside and the modeling is performed through the facility modeling unit 111 and the market modeling unit 113, the storage unit 115 uses the new modeling data Data_M accordingly. The existing modeling data Data_M can be updated.

The information data Data_I provided to the modeling unit 110 includes facility information such as types, specifications, and capacity information of each facility of the distributed power supply group 102, weather information and power of the region in which the distributed power supply group 102 is installed. It may include information of the trading market 200. Here, the weather information may include daily, weekly, monthly and yearly information on the installation area of the distributed power supply group 102. Such information data Data_I may be provided from an external database (not shown) or the power trading market 200.

2 and 4, the prediction unit 120 simulates virtual operation of the distributed power supply group 102 and the power trading market 200 based on the modeling data Data_M of the modeling unit 110. The prediction data Data_F may be output by predicting power bidding, power generation, charging and discharging of the distributed power supply group 102. The prediction data Data_F includes prediction information on power bidding and bid amounts of the distributed power supply group 102, prediction information on power generation amount and power production amount of the power generation facility 103, and charge / discharge amount of the charge / discharge facility 104. It may include prediction information about.

Here, the prediction unit 120 may output the prediction data Data_F for the second time point of the distributed power supply group 102 at the first time point. In this case, the first time point and the second time point have one unit, and may be different from each other. For example, if the first time point is today, the second time point may be light. That is, the prediction unit 120 may output power prediction data Data_F by predicting power bidding, power generation, charging and discharging according to the operation of the distributed power supply group 102 of the future at the present time.

The simulation unit 121 of the prediction unit 120 may simulate virtual operation of the distributed power supply group 102 and the power trading market 200 based on the modeling data Data_M. The simulation unit 121 may output the simulation result in predetermined time units, for example, daily, weekly, monthly and yearly units.

The generation amount prediction unit 123 of the prediction unit 120 may predict the generation operation of the power generation facility 103 based on a simulation result, for example, a simulation result according to the virtual operation of the power generation facility 103. The generation amount prediction unit 123 may output prediction data Data_F including prediction information of the generation amount and power generation amount of the power generation facility 103 according to the prediction result.

The charge / discharge amount prediction unit 125 of the prediction unit 120 may predict the charge / discharge operation of the charge / discharge facility 104 based on a simulation result of the virtual operation of the charge / discharge facility 104. The charge / discharge amount prediction unit 125 may output prediction data Data_F including prediction information of the charge amount and the discharge amount of the charge / discharge facility 104 according to the prediction result.

The transaction predicting unit 127 may predict the power bid of the distributed power supply group 102 in the power trading market 200 based on a simulation result according to the virtual operation of the power trading market 200. The transaction prediction unit 127 may output the prediction data Data_F including the prediction information of the power bid and the bid amount according to the prediction result.

Since the simulation result is output in a predetermined time unit from the simulation unit 121, the generation amount prediction unit 123, the charge / discharge amount prediction unit 125, and the transaction prediction unit 127 also have time units, that is, daily and weekly periods. Forecast data (Data_F) can be output in monthly, yearly, and yearly increments.

2 and 5, the risk analysis unit 130 may calculate a prediction error, that is, a risk level, of the prediction data Data_F of the prediction unit 120 based on externally provided information data Data_I. . The risk analysis unit 130 may calculate a risk at a first point of time based on the prediction data Data_F.

The risk may be calculated by at least one of an internal factor and an external factor. An internal factor means a risk due to abnormal operation due to a failure occurring in each facility of the distributed power supply group 102, and an external factor refers to an abnormal operation of each facility due to weather changes in the area where the distributed power supply group 102 is installed. It can mean the risk by. This risk may be output as risk data Data_A. Backup power may be reserved in the power plant 300 by the control unit 140 to be described later based on the risk data Data_A output from the risk analysis unit 130. The risk data Data_A may include facility risk information and weather risk information.

The facility risk analysis unit 131 of the risk analysis unit 130 may predict the occurrence of failure of each facility of the distributed power supply group 102 based on the information data Data_I, and analyze the risk of abnormal operation. have. For example, the facility risk analysis unit 131 predicts the deterioration of the power generation facility 103 and the charge / discharge facility 104 based on the facility information included in the information data Data_I, and accordingly, a failure of each facility occurs. The risk of abnormal operation of the equipment can be analyzed. The facility risk analysis unit 131 may output risk data Data_A including facility risk information based on the analyzed risk level.

The meteorological hazard analysis unit 133 of the risk analysis unit 130 predicts an abnormal climate, for example, occurrence of a disaster, in an area in which each facility of the distributed power supply group 102 is installed, based on the information data Data_I, and thereby operates abnormally. Analyze the risk of occurrence. For example, the meteorological hazard analysis unit 133 predicts the occurrence of a disaster in an area where the power generation facility 103 and the charge / discharge facility 104 are installed based on the weather information included in the information data Data_I, and accordingly Analyze the risk of abnormal operation. The weather risk analysis unit 133 may calculate risk data Data_A including weather risk information based on the analyzed risk.

The risk data Data_A may be calculated as a value between 0 and 1. At this time, the risk analysis unit 130 may calculate the risk data (Data_A) based on the information having a large value of the facility risk information and weather risk information.

2 and 6, the control unit 140 controls a first bidding signal, a power supply, and a charge / discharge operation by each facility of the distributed power supply group 102 based on the prediction data Data_F. (CNT1) can be output. In addition, the control unit 140 may output the second control signal CNT2 for controlling the backup power reservation to the power plant 300 and the reception of the reserved power based on the risk data Data_A.

The bid controller 141 of the control unit 140 may control the power of the distributed power supply group 102 to be bid on the power transaction market 200 based on the prediction data Data_F. The bid controller 141 may control the power transaction bidding in the power transaction market 200 at the second time point based on the prediction data Data_F. At this time, the bid controller 141 controls the power bid in the power market of the power trading market 200 based on the generation amount information of the prediction data (Data_F) or based on the charge / discharge amount information of the prediction data (Data_F) Service bidding in the auxiliary service market of the power trading market 200 may be controlled.

The power supply control unit 143 of the control unit 140 may control the power supply to be performed from the power generation equipment 103 to the system 250 at a second point of time based on the bid control of the bid control unit 141. The power supply control unit 143 may output the first control signal CNT1 to the power generation equipment 103, and the power generation equipment 103 may generate power generated by the amount of bid power based on the first control signal CNT1. 250).

The charge / discharge control unit 145 of the control unit 140 may control the charging or discharging from the charge / discharge facility 104 to the system 250 at a second point of time based on the bid control of the bid control unit 141. Can be. The charge / discharge control unit 145 outputs the second control signal CNT2 to the charge / discharge facility 104, and the charge / discharge facility 104 based on the second control signal CNT2 as much as the bidding assistance service amount. The stored power may be discharged to the system 250 or may be charged by receiving power from the system 250.

The reservation controller 147 of the control unit 140 may control the reservation of backup power or backup auxiliary service to the power plant 300 at the first point of time based on the risk data Data_A. In addition, the reservation controller 147 may determine that the backup power or the backup auxiliary service previously reserved at the second time point to receive the reserved power from the power plant 300.

The risk data Data_A calculated by the risk analysis unit 130 has been described as having a value between 0 and 1. Here, when the risk data (Data_A) is 1, the reservation controller 147 is the backup power or backup auxiliary service equal to the entirety of the predictive data (Data_F), that is, the total amount of power or auxiliary services bid by the bid controller 141. Can be booked. In addition, when the risk data Data_A is 0.5, the reservation controller 147 may reserve backup power or backup assistance service corresponding to 50% of power or assistance service bid by the bid controller 141. Of course, when the risk data (Data_A) is 0, the reservation controller 147 does not reserve the backup power or backup auxiliary service. That is, the reservation controller 147 may reserve the backup power or the backup auxiliary service according to the prediction data Data_F, for example, the value of the bid power amount or the supplementary service amount multiplied by the risk data Data_A.

As described above, the virtual power plant operating system 100 according to the present embodiment predicts the generation amount, power production amount, and charge / discharge amount of the distributed power supply group 102 through modeling, and uses the predictive data Data_F to predict the power generation. While performing power bidding in the trading market 200, the risk of the prediction data Data_F may be analyzed, and accordingly, backup power of a predetermined size may be reserved in an external large power plant 300. Accordingly, the virtual power plant operating system 100 may receive backup power reserved by the power plant 300 even when an error occurs in the predicted data Data_F due to an unexpected equipment failure or abnormal weather. While maintaining the operating efficiency of the virtual power plant operating system 100 can be increased.

7 and 8 are views showing a virtual power plant operating method using a virtual power plant operating system of the present invention.

Hereinafter, a method of operating the virtual power plant using the risk analysis in the above-described virtual power plant operating system 100 will be described in detail. For convenience of description, FIG. 7 illustrates an operation method for power bidding of the virtual power plant operating system 100 in the power trading market 200, and FIG. 8 illustrates a virtual power plant operating system 100 in the power trading market 200. The operation method for the subsidiary service bid will be described. In addition, it will be described with reference to FIGS. 1 to 6 and FIGS. 7 and 8.

Referring to FIG. 7, the virtual power plant operating system 100 according to the present embodiment is configured from each model of the distributed power supply group 102, for example, the power generation equipment 103, from modeling data Data_M based on externally provided information data Data_I. It is possible to predict the amount of power generation and thus the power production (S10).

More specifically, the operation module 101 of the virtual power plant operating system 100 includes equipment information such as type, specification and capacity information for each equipment of the distributed power group 102 from the outside. Information data Data_I including at least one of weather information of the installed region and information of the power trading market 200 may be provided.

Subsequently, the modeling unit 110 of the operation module 101 includes modeling information about each facility of the distributed power supply group 102 and modeling information about the power trading market 200 based on the information data Data_I. Data Data_M may be output.

Next, the prediction unit 120 of the operation module 101 simulates the virtual operation of the distributed power group 102 and the power trading market 200 based on the modeling data Data_M, and the distributed power group according to the result. The power generation operation of the power generation equipment 103 of 102 may be predicted by a predetermined time unit, and predictive data Data_F including power generation amount and power production information of the power generation equipment 103 may be output. In addition, the prediction unit 120 may output the prediction data Data_F including information on the power bid and the bid amount in the power trading market 200. Here, the prediction data Data_F may be prediction information of the second time point for the distributed power supply group 102 and the power transaction market 200 predicted at the first time point.

In addition, the risk analysis unit 130 of the operation module 101 may analyze the risk of the prediction data Data_F based on the information data Data_I, and output the risk data Data_A according thereto (S30). ).

The risk analysis unit 130 predicts the deterioration of the power generation equipment 103 based on the equipment information of the information data Data_I, and analyzes the risk of abnormal operation caused by the failure of the power generation equipment 103 accordingly. Risk data (Data_A) can be output according to the analyzed equipment risk. In addition, the risk analysis unit 130 predicts the occurrence of a disaster in the region where the power generation equipment 103 is installed based on the weather information of the information data Data_I, and analyzes the risk of abnormal operation of the power generation equipment 103 accordingly. In addition, the risk data (Data_A) according to the analyzed weather risk may be output.

Subsequently, the control unit 140 of the operation module 101 may reserve the backup power to the power plant 300 at the first point of time based on the risk data Data_A (S35).

Here, the risk data (Data_A) is calculated and output as a value between 0 and 1, the closer the risk data (Data_A) to 1, the control unit 140 is the prediction data (Data_F), that is, the predicted power generation equipment 103 You can reserve backup power corresponding to the total power output of.

When the reservation of the backup power is completed, the virtual power plant operating system 100 may perform a power bid of the production power by the power generation equipment 103 in the power trading market 200 at the second time point based on the prediction data Data_F. Can be (S20).

Subsequently, the control unit 140 of the operation module 101 may control the power supply as much as the amount of bid power from the power generation facility 103 to the system 250 (S25).

Subsequently, the virtual power plant operating system 100 may compare the amount of power supplied to the system 250 with the bid power in the power generation facility 103 (S27).

As a result of the comparison, when the power supply amount of the power generation equipment 103 is equal to the bid power amount, the virtual power plant operating system 100 may end the power supply from the power generation equipment 103 to the system 250 and settle the cost for the power supply. There is (S40).

However, if the power supply amount of the power generation facility 103 is not the same as the bid power amount, for example, less than the bid power amount, the virtual power plant operating system 100 may request a backup power reserve in advance to the power plant 300. The power plant 300 may support feeding of the power generation facility 103 by feeding backup power to the system 250 according to a request (S37).

Subsequently, if the sum of the feed amount of the power plant 300 and the feed amount of the power generation facility 103 is equal to the bid power amount, the power plant 300 and the virtual power plant operating system 100 terminate the feed to the system 250. In operation S40, the power supply cost of the power generation facility 103 and the cost of the backup power requested to the power plant 300 may be calculated.

As described above, the virtual power plant operating system 100 according to the present embodiment performs risk analysis on the predicted data Data_F of the second time point predicted at the first time point, and thereby backup power to the power plant 300 at the first time point. By reserving, even when a power supply amount is insufficient when a power supply is performed from the power generation facility 103 to the system 250 at a second time point, the power supply can be supported by the reserved backup power. Therefore, the virtual power plant operating system 100 of the present invention can increase the efficiency of system operation while maintaining the safety of the power system 250.

On the other hand, the present embodiment has been described by taking an example of feeding power to the system 250 by the power generation facility 103, the present invention is not limited thereto. For example, it will be apparent that the present invention can be equally applied to a case in which power previously stored in the charge / discharge facility 104 is supplied to the system 250.

Referring to FIG. 8, the virtual power plant operating system 100 according to the present exemplary embodiment includes each facility of the distributed power supply group 102 at a first point in time, from the modeling data Data_M based on the information data Data_I. Charge and discharge amount of the 104 can be predicted (S110). Since the prediction of the charge / discharge facility 104 is almost similar to the prediction of the amount of power generation and the power production of the power generation facility 103 described above with reference to FIG. 7, the detailed description thereof will be omitted.

In addition to the charge / discharge amount prediction of the charge / discharge facility 104 described above, the risk analysis unit 130 of the operation module 101 performs the prediction data (Data_F) on the charge / discharge amount based on the information data Data_I. The risk data may be analyzed and the risk data Data_A may be output (S130).

The risk analysis unit 130 analyzes the risk of abnormal operation occurrence due to a failure of the charge / discharge facility 104 and the risk of abnormal operation caused by a disaster in the area where the charge / discharge facility 104 is installed. ) Can be printed.

Subsequently, the control unit 140 may reserve the backup assistance service to the power plant 300 at the first point of time based on the risk data Data_A (S135).

Here, since the auxiliary service is a power service is provided in a relatively short time, for example, seconds or minutes, the power plant 300 of the present embodiment may be a large capacity ESS.

In addition, since the risk data (Data_A) is calculated as a value between 0 and 1, the closer the risk data (Data_A) to 1, the control unit 140 is the entire prediction data (Data_F), that is, the predicted charge / discharge facilities 104 You can schedule a backup auxiliary service corresponding to the total charge / discharge amount of).

When the reservation of the backup auxiliary service is completed, the virtual power plant operating system 100 performs the auxiliary service bidding by the charge / discharge facility 104 in the power transaction market 200 at the second point of time based on the prediction data Data_F. It may be (S120).

Subsequently, when an auxiliary service request is received from the outside, for example, the power system operator, the virtual power plant operating system 100 may control to charge or discharge the electric power of the bidding auxiliary service from the charging / discharging facility 104 to the system 250. It may be (S125).

Here, when the power system operator requests an auxiliary service to increase the power supply within a short time, the virtual power plant operating system 100 may control discharge to be performed from the charge / discharge facility 104 to the system 250. Can be. In addition, when the power system operator requests an auxiliary service to increase power demand, the virtual power plant operating system 100 may control charging of the charge / discharge facility 104 from the system 250.

Subsequently, the virtual power plant operating system 100 may compare the charge / discharge amount from the charge / discharge facility 104 to the system 250 and the bidding assistance service amount (S127).

As a result of the comparison, when the charge / discharge amount of the charge / discharge facility 104 is equal to the bidding assistance service amount, the virtual power plant operating system 100 ends the charge / discharge of the charge / discharge facility 104 and charge / discharge The cost can be settled (S140).

On the other hand, when the charge / discharge amount of the charge / discharge facility 104 is not the same as the bidding assistance service amount, the virtual power plant operating system 100 may request a backup backup service scheduled in advance at the power plant 300. The power plant 300 may provide a backup assistance service to the system 250 according to a request, thereby supporting power supply or demand increase or decrease in a short time (S137).

Subsequently, if the sum of the supplementary service amount by the power plant 300 and the supplementary service amount of the charge / discharge facility 104 is equal to the bidding supplementary service amount, the power plant 300 and the virtual power plant operating system 100 may include a system 250. ) To end the charge / discharge, and to settle the cost (S140).

As described above, the virtual power plant operating system 100 of the present embodiment performs a risk analysis on the predicted data Data_F of the second time point predicted at the first time point, and thereby, the power plant 300 at the first time point. By reserving the backup auxiliary service, even if a shortage occurs when charging / discharging is performed from the charging / discharging facility 104 to the system 250 at the second time point, the backup auxiliary service may support charging / discharging with the reserved backup auxiliary service. . Therefore, the virtual power plant operating system 100 of the present invention can increase the efficiency of system operation while maintaining the safety of the power system 250.

100: virtual power plant operating system 101: operation module
102: distributed power group 103: power generation equipment
104: charge / discharge facility 110: modeling unit
120: prediction unit 130: risk analysis unit
140: control unit 200: power trading market
250: system 300: power plant

Claims (15)

A distributed power group equipped with one or more power generation and charging / discharging facilities;
A prediction unit for predicting generation amount, power production amount and charge / discharge amount for a second time point of the distributed power supply group at a first time point from a modeling result of each facility of the distributed power supply group based on information data;
A risk analysis unit for analyzing a risk of a prediction result based on the information data; And
Reserve at least one of backup power and backup assistance services to an external power plant based on the risk at the first time point, and at least one of the power bidding and the assistance service bidding based on the prediction result at the second time point And a control unit for comparing at least one of the backup power and the backup auxiliary service which is pre-booked to the system by comparing the power supply and charge / discharge performed by the system with the bid amount. The method of claim 1,
The risk analysis unit,
A facility risk analysis unit analyzing a risk of occurrence of abnormal operation according to a failure of each facility of the distributed power supply group based on the information data; And
Based on the information data includes a meteorological risk analysis unit for analyzing the risk of occurrence of abnormal operation according to the occurrence of a disaster in the region in which the distributed power group is installed,
Virtual power plant operating system, characterized in that for outputting the risk data based on the greater of the risk according to the risk analysis unit and the risk according to the meteorological risk analysis unit. The method of claim 2,
The risk data is a virtual power plant operating system, characterized in that output as a value between 0 ~ 1. The method of claim 2,
The control unit,
And at least one of the backup power and the backup assistance service is reserved based on a result of multiplying the prediction result by the risk data. The method of claim 1,
The first power point and the second time point virtual unit operating system, characterized in that the difference in units. The method of claim 1,
The power plant is a virtual power plant operating system, characterized in that one of the bio-plant, combined cycle, fuel cell, hydro, small hydro and large capacity energy storage device. Predicting a generation amount, power production amount, and charging / discharging amount for a second time point of the distributed power supply group at a first point of time from a modeling result of the distributed power supply group including one or more power generation facilities and a charge / discharge facility;
Analyzing a risk of a prediction result based on the information data, and reserving backup power to an external power plant at the first point of time based on the risk;
Performing power bidding on the power trading market according to the prediction result at the second time point, and feeding power to the system from the distributed power supply group; And
And comparing the feed amount of the distributed power supply group with the bid power amount, and controlling the backup power reserved from the power plant to be supplied to the system according to a comparison result. The method of claim 7, wherein
The risk is
The risk of failure of each facility of the distributed power group and the risk of disaster in the region where the distributed power group is installed is calculated as a larger value, characterized in that it is calculated as data having a value between 0 ~ 1 How to operate a virtual power plant. The method of claim 7, wherein
Scheduling backup power to the power plant,
And operating the backup power corresponding to the prediction result multiplied by the risk. The method of claim 7, wherein
The controlling of the backup power is supplied to the grid,
And if the power supply amount is smaller than the bid power amount, request the backup power previously reserved to the power plant. The method of claim 7, wherein
Scheduling a backup assistance service in the power plant based on the risk at the first point in time;
Performing an auxiliary service bid on the power trading market according to the prediction result at the second time point, and performing charging / discharging of the system in the distributed power supply group; And
Comparing the charging / discharging amount of the distributed power group with the bidding assistance service amount, and controlling the backup auxiliary service pre-booked from the power plant to be supported by the system according to a comparison result. . The method of claim 11,
Scheduling a backup auxiliary service to the power plant,
And operating the backup auxiliary service corresponding to the prediction result multiplied by the risk. The method of claim 11,
The controlling of the backup assistance service to be supported by the system may include:
And requesting the backup assistance service from the power plant if the charge / discharge amount is smaller than the bid assistance service amount. The method of claim 7, wherein
The first time point and the second time point operating method of the virtual power plant, characterized in that the difference in units. The method of claim 7, wherein
The power plant is a method of operating a virtual power plant, characterized in that one of the bio-plant, combined cycle, fuel cell, hydro, small hydro and large capacity energy storage device.

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