Distributed energy resource-based dispatchable resource operation device and method

Abstract

Embodiments of the present disclosure can provide a distributed energy resource-based dispatchable resource operation device comprising: an information collection unit for receiving power market information, distributed energy resource information, and variable resource information at predetermined intervals; a predicted power generation amount calculation unit for calculating a predicted power generation amount of a variable resource on the basis of the variable resource information; and a resource operation plan calculation unit, which quantifies the power market information, the distributed energy resource information, the variable resource information and the predicted power generation amount of the variable resource, sets an objective function according to a power system operation purpose, and applies, to the objective function, the quantified power market information, the quantified distributed energy resource information, the quantified variable resource information, and the quantified predicted power generation amount of the variable resource so as to calculate an operation schedule result value.

Description

Distributed energy resource-based dispatching resource operation device and method

[0001] The embodiments of the present disclosure relate to a distributed energy resource-based power source operation apparatus and method.

[0002] Energy storage devices are gaining increasing importance as a core component in next-generation power supply networks, such as distributed power sources and smart grid environments. Furthermore, with the recent active research on renewable energy sources like solar photovoltaic, solar thermal, wind, and bioenergy, they are also emerging as devices for storing this renewable energy. Although energy storage devices function as secondary batteries capable of repeated charging and discharging, their limited lifespan necessitates efficient scheduling of charging and discharging tailored to specific usage environments and purposes.

[0003] In sectors connected to the power grid that supply power required by industrial or residential consumers, energy storage devices are used as an auxiliary means to schedule their charging and discharging based solely on the characteristics of time-of-day electricity rate differences. However, in terms of operation for supplying power connected to the power grid, there is a limitation in that the charging and discharging output of the Energy Storage System (ESS) cannot be scheduled to stably supply power to the grid by considering the internal physical characteristics of the energy storage device, which can ultimately lead to reliability issues in terms of power grid operation.

[0004] Furthermore, as this technology primarily involves simply scheduling distributed resources from the consumer's perspective, such as for demand management and peak reduction, the development of technology for scheduling distributed energy resources to achieve dispatch resource status is currently minimal.

[0005] The embodiments of the present disclosure can establish an operation schedule plan that maximizes the operating revenue of a VPP's dispatch resource by considering distributed energy resource information, the predicted generation amount of variable resources, and the SMP.

[0006] The present disclosure is in accordance with the project for the development of a sector coupling integrated power plant dispatch source technology to replace fossil fuel generators (24A01078).

[0007] Embodiments of the present disclosure may provide a distributed energy resource-based dispatch resource operation device comprising: an information collection unit that receives power market information, distributed energy resource information, and variability resource information at predetermined intervals; a predicted generation amount calculation unit that calculates a predicted generation amount of a variability resource based on the variability resource information; and a resource operation plan calculation unit that quantifies the power market information, distributed energy resource information, variability resource information, and the predicted generation amount of a variability resource, sets an objective function according to the purpose of power system operation, and applies the quantified power market information, quantified distributed energy resource information, quantified variability resource information, and quantified predicted generation amount of a variability resource to the objective function to calculate an operation schedule result.

[0008] The resource operation plan output unit calculates the above operation schedule result value by further considering constraints, and the constraints may reflect power market information or distributed energy resource information or variability resource information or the numerical value of the predicted generation amount of the variability resource.

[0009] Constraints can be set so that the State of Charge (SOC) of the Energy Storage System (ESS) is maintained within a predetermined range.

[0010] The constraint can be set so that the maximum charging and discharging output of the ESS does not exceed the rating of the PCS (Power Conversion System).

[0011] Electricity market information may include System Marginal Price (SMP) electricity market price information and generation plan bidding information.

[0012] The variability resource information may include the specifications of the variability resource and the predicted power generation amount.

[0013] The objective function can be set considering the revenue from the VPP's dispatch resource operation.

[0014] The resource operation plan output unit can update the operation schedule result value at predetermined intervals.

[0015] Distributed energy resource information may include specifications of the ESS.

[0016] Embodiments of the present disclosure may provide a distributed energy resource-based dispatch resource operation method comprising: an information collection step of receiving power market information, distributed energy resource information, and variability resource information at predetermined intervals; a predicted generation amount calculation step of calculating a predicted generation amount of a variability resource based on the variability resource information; and a resource operation plan calculation step of quantifying the power market information, distributed energy resource information, variability resource information, and the predicted generation amount of a variability resource, setting an objective function according to the purpose of power system operation, and applying the quantified power market information, quantified distributed energy resource information, quantified variability resource information, and quantified predicted generation amount of a variability resource to the objective function to calculate an operation schedule result value.

[0017] The resource operation plan calculation step calculates the above operation schedule result value by further considering constraints, and the constraints may reflect power market information, distributed energy resource information, variability resource information, or numerical values ​​of predicted generation of variability resources.

[0018] The resource operation plan output stage can update the operation schedule result value at predetermined intervals.

[0019] According to the embodiments of the present disclosure, the distributed energy resource-based power source operation device and method can establish a detailed optimal operation plan for distributed energy resources by reflecting characteristic information (rated PCS, capacity, efficiency, etc.) specific to each distributed energy resource, which is essential for power source operation, into an optimization model.

[0020] In addition, the present disclosure can increase the reliability of power system energy supply by scheduling the output of distributed energy resources, such as variable resources and Energy Storage Systems (ESS), based on the daily market and real-time market during the dispatch of power resources.

[0021] Furthermore, the present disclosure enables the maximization of operational profits from dispatched resources by establishing an optimal operation plan that reflects information on the physical characteristics of distributed energy resources, information on variability resources, and power market information.

[0022] In addition, the present disclosure can achieve more economical results than when information is not updated by reflecting newly updated information through the re-establishment of an operation plan at each specific operation cycle.

[0023] Furthermore, since the present disclosure allows for the different modeling of mathematical formulas (objective functions and constraints) depending on changes in the resource linkage structure and environmental configuration for dispatch resource management (e.g., standalone, linked, etc.), it enables optimized computation by customizing to suit the target environment.

[0024] FIG. 1 is a block diagram briefly illustrating a distributed energy resource-based power source operation device according to one embodiment of the present disclosure.

[0025] FIG. 2 is a block diagram for explaining the data transmission and reception and operation of a power supply resource operation device according to one embodiment of the present disclosure.

[0026] FIG. 3 is a diagram illustrating the updating of operation schedule result values ​​at predetermined intervals according to one embodiment.

[0027] FIG. 4 is a flowchart illustrating a distributed energy resource-based power source operation method according to one embodiment of the present disclosure.

[0028] FIG. 5 is a flowchart for more specifically explaining step S430 according to one embodiment.

[0029] In assigning reference numerals to the components of each drawing, the same components may have the same reference numeral whenever possible, even if they are shown in different drawings. Furthermore, in describing the present disclosure, if it is determined that a detailed description of related known components or functions could obscure the essence of the present disclosure, such detailed description may be omitted. Where terms such as "comprising," "having," or "consisting of" are used in this specification, other parts may be added unless "only" is used. Where a component is expressed in the singular, it may include a plural unless otherwise explicitly stated.

[0030] Additionally, terms such as first, second, A, B, (a), (b), etc., may be used to describe the components of the present disclosure. These terms are used merely to distinguish the components from other components, and the nature, order, sequence, or number of the components are not limited by such terms.

[0031] In describing the positional relationship of components, where it is stated that two or more components are "connected," "combined," or "joined," it should be understood that while the two or more components may be directly "connected," "combined," or "joined," they may also be "connected," "combined," or "joined" with other components "intervened." Here, the other components may be included in one or more of the two or more components that are "connected," "combined," or "joined" with one another.

[0032] In describing the temporal flow relationship regarding components, methods of operation, or methods of production, for example, when the temporal or sequential relationship is described using "after," "following," "next," or "before," it may include cases where the relationship is not continuous unless "immediately" or "directly" is used.

[0033] Meanwhile, where numerical values ​​or corresponding information regarding a component (e.g., levels, etc.) are mentioned, even without separate explicit notation, the numerical values ​​or corresponding information may be interpreted as including a range of error that may occur due to various factors (e.g., process factors, internal or external shocks, noise, etc.).

[0034] Hereinafter, various embodiments of the present disclosure will be described in detail with reference to the attached drawings.

[0035] FIG. 1 is a block diagram briefly illustrating a distributed energy resource-based power source operation device (10) (hereinafter referred to as the power source operation device) according to one embodiment of the present disclosure.

[0036] Referring to FIG. 1, the power generation resource operation device (10) of the present disclosure may include an information collection unit (110), a predicted power generation amount calculation unit (120), and a resource operation plan calculation unit (130), etc.

[0037] The power supply resource operation device (10) of the present disclosure receives power market information, distributed energy resource information, and variability resource information at predetermined intervals, calculates the predicted generation amount of the variability resource based on the variability resource information and power market information, quantifies the power market information, distributed energy resource information, variability resource information, and the predicted generation amount of the variability resource, sets an objective function according to the purpose of power system operation, and applies the quantified power market information, quantified distributed energy resource information, quantified variability resource information, and quantified predicted generation amount of the variability resource to the objective function to calculate an operation schedule result value.

[0038] The power supply resource operation device (10) may be a device that provides an operation schedule for a renewable energy-based integrated power plant.

[0039] The information collection unit (110) can receive power market information, distributed energy resource information, and variability resource information at predetermined intervals.

[0040] Electricity market information may include System Marginal Price (SMP) data, generation plan bidding information, etc. Each piece of information can be classified into market information from the previous day and real-time market information.

[0041] Distributed energy resource information may include specifications of the ESS (capacity, charge / discharge efficiency, charge / discharge PCS rating, etc.). Distributed energy resource information may be measured values ​​detected from sensors installed in the distributed energy resource.

[0042] Variable resource information may include characteristic information regarding Distributed Energy Resources (DERs) constituting a Virtual Power Plant (VPP). For example, variable resource information may include the specifications of the variable resource, the type of the variable resource, the number of variable resources, and the predicted power generation amount of the variable resource. Variable resource information is not limited to specific resources as long as they are variable resources that can be operated in the VPP. Here, variable resource information may be a measurement value detected from a sensor installed on the variable resource.

[0043] The information collection unit (110) receives power market information, distributed energy resource information and variability resource information and stores them in a database, and can retrieve information at the request of the predicted power generation calculation unit (120) or the resource operation plan calculation unit (130).

[0044] In one embodiment, a predetermined period may be the time when SMP power market price information is updated. That is, the information collection unit (110) can receive and update power market information, distributed energy resource information, and variability resource information whenever SMP power market price information is updated at a certain period.

[0045] The predicted power generation calculation unit (120) can calculate the predicted power generation of a variable resource based on variable resource information. Additionally, the predicted power generation calculation unit (120) can calculate the predicted power generation of a variable resource by further considering past variable resource information. For example, the predicted power generation calculation unit (120) can calculate the predicted power generation of a variable resource based on acquired resource information such as variable resource capacity and past power generation data.

[0046] In addition, the predicted power generation calculation unit (120) may further consider weather data, a weather data prediction model, physical characteristics of the variable resource (solar power generation, wind power generation), and a statistical model based on weather uncertainty when calculating the predicted power generation of the variable resource.

[0047] The resource operation plan calculation unit (130) can quantify power market information, distributed energy resource information, variability resource information and variability resource predicted generation amount, set an objective function according to the purpose of power system operation, and apply the quantified power market information, quantified distributed energy resource information, quantified variability resource information and quantified variability resource predicted generation amount to the objective function to calculate the operation schedule result value.

[0048] Specifically, the resource operation plan calculation unit (130) can quantify the aforementioned information to apply values ​​derived from power market information, distributed energy resource information, variability resource information and variability resource predicted generation amount to a mathematical model.

[0049] For example, the resource operation plan calculation unit (130) can quantify the predicted value of the power generation amount of the variable resource by time period, the capacity of the ESS, the charge / discharge efficiency, the maximum PCS (maximum output capacity), the allowable range of ESS SOC operation, and the maximum output limit value going to the power grid as parameter values.

[0050] Quantified information can be reflected in a mathematical model to calculate operational schedule results.

[0051] The resource operation plan calculation unit (130) can set an objective function to maximize the operating profit (maximization of economic efficiency) of the distributed resources constituting the VPP when the resource is supplied.

[0052] For example, the objective function can be set by considering the revenue from VPP's dispatch resource operation.

[0053] The resource operation plan calculation unit (130) can set and model the objective function for the entire period to be optimized by dividing it into multiple intervals (e.g., if 24 hours are divided into 15-minute intervals, T=96) when setting the objective function considering the operation revenue. The resource operation plan calculation unit (130) can calculate the settlement revenue by dividing the revenue obtained by the VPP into the previous day market and the real-time market through a dual settlement system. Additionally, the resource operation plan calculation unit (130) can set the objective function by further considering the imbalance penalty imposed when the real-time generation amount exceeds the allowable error range compared to the dispatch instruction amount. In one embodiment, the resource operation plan calculation unit (130) can calculate the operation schedule result value by further considering constraints. The constraints may reflect power market information, distributed energy resource information, variability resource information, or the numerical value of the predicted generation amount of the variability resource.

[0054] Constraints may include generation plan quantity (day ahead / real-time) constraints, ESS operation constraints, variable resource output constraints, power system constraints, and meter value constraints.

[0055] For specific examples, constraints may be set so that the State of Charge (SOC) of the ESS is maintained within a predetermined range, or so that the maximum charge / discharge output of the ESS does not exceed the rating of the Power Conversion System (PCS), or so that the output power of the variable resource or distributed resource sent to the grid does not exceed a specific reference value to ensure grid stability, or so that the output of the variable resource is limited in situations where the generation amount (output) of the variable resource is high compared to the dispatch instruction amount.

[0056] As another example, constraints are set to consider the previous day's generation and real-time generation separately in a dual settlement system; the previous day's generation is set to satisfy the planned generation amount for the previous day, or for real-time generation, an operation plan can be established to ensure that the real-time generation does not exceed a standard range by deriving output limit values ​​for time-varying resources.

[0057] Accordingly, the resource operation plan calculation unit (130) can also apply the output limit value of the time-varying variable resource in the situation of overgeneration to the operation schedule result value.

[0058] You can set constraints by selecting any number of the aforementioned constraints.

[0059] The resource operation plan output unit (130) can set objective function and constraint mathematical equations by applying Mixed-Integer Linear Programming (MILP).

[0060] The resource operation plan calculation unit (130) can consider the total revenue for the entire period to be scheduled for operation through an objective function. In addition, the resource operation plan calculation unit (130) can divide the entire period to be optimized into multiple segments, calculate revenue for each divided segment, and calculate revenue for the entire period. This revenue can be calculated by considering the electricity market price (day ahead / real-time) SMP.

[0061] In one embodiment, the objective function can be set so that the imbalance penalty is minimized.

[0062] The imbalance penalty is a constraint imposed when the real-time power generation deviates from the dispatch instruction amount by an allowable margin of error, and a penalty may be imposed for excess power generation relative to a certain allowable margin of error.

[0063] An imbalance penalty may be imposed by multiplying the standard range of the allowable error rate by a certain penalty coefficient.

[0064] Constraints can be set considering the ESS charge / discharge output constraints.

[0065] Since the ESS cannot perform charging and discharging simultaneously, the resource operation plan calculation unit (130) can express the ESS charging and discharging variables as previous variables to account for the constraint that charging and discharging simultaneously is impossible.

[0066] For example, the resource operation plan output unit (130) can set constraints so that the ESS SOC state is maintained between 10% and 90%.

[0067] The resource operation plan calculation unit (130) can set constraints on the SOC state by considering the ESS charging and discharging efficiency, the ESS battery capacity, the unit time for establishing the operation plan, the charging power of the ESS by time period, and the discharging power of the ESS by time period. To this end, the information collection unit (110) can update the aforementioned SOC state every hour.

[0068] The resource operation plan calculation unit (130) can set constraints so that the maximum power that can be sent from the VPP resource to the grid is less than or equal to a specific value.

[0069] The resource operation plan calculation unit (130) can set constraints so that the output power of the VPP (the sum of the variable resource output and the ESS output) does not exceed the maximum power upper limit that can be sent to the grid.

[0070] As described above, the present disclosure can maximize the operating profit of the VPP while minimizing the imbalance penalty when the VPP is converted into a dispatch resource.

[0071] In addition, the present disclosure can reflect realistic ESS characteristic conditions and VPP configuration resource characteristic conditions by setting constraints.

[0072] FIG. 2 is a block diagram for explaining data transmission and reception and operation of a power supply resource operation device (10) according to one embodiment of the present disclosure.

[0073] Referring to FIG. 2, as described above, the information collection unit (110) can receive power market information from the power market (210) and receive distributed energy resource information and variability resource information from the VPP configuration resource (220). The information collection unit (110) can receive updated power market information, distributed energy resource information, and variability resource information at predetermined intervals, and can store data or retrieve past data.

[0074] The predicted power generation calculation unit (120) can calculate the predicted power generation of a variable resource by utilizing variable resource information.

[0075] The resource operation plan calculation unit (130) receives power market information, distributed energy resource information, variable resource information, and variable resource predicted power generation amount, respectively, and applies them to an objective function and constraints to calculate an operation schedule result value. The operation schedule result value may include ESS charging / discharging output by time period and output limit value of the variable resource by time period. The resource operation plan calculation unit (130) can transmit the operation schedule result value as an operation command to each VPP constituent resource (220) so that each VPP constituent resource (220) produces power amount according to the schedule.

[0076] FIG. 3 is a diagram illustrating the updating of operation schedule result values ​​at predetermined intervals according to one embodiment.

[0077] The resource operation plan output unit (130) can update the operation schedule result value at predetermined intervals.

[0078] Specifically, the resource operation plan calculation unit (130) can repeatedly perform optimal scheduling at predetermined intervals by reflecting the most recently collected information from the time of calculating the operation schedule result value when calculating the operation schedule result value. That is, when establishing an optimal operation plan, rescheduling is performed by periodically reflecting new information over time, thereby establishing an optimized operation plan compared to when past information is used.

[0079] The resource operation plan calculation unit (130) can calculate the ESS charging and discharging scheduling results planned in 15-minute intervals for the operation scheduling target period by utilizing SMP information from one day prior and real-time SMP information as input data.

[0080] The result value derived from the resource operation plan calculation unit (130) may include the ESS charging and discharging output by time period and may also include the output limit value of the variable resource by time period. At this time, the operation plan can be established by simultaneously considering the ESS charging and discharging output and the output limit value of the variable resource.

[0081] An example of the ESS charge / discharge scheduling result can be explained as follows.

[0082] When an integrated power plant operator utilizes distributed energy resources such as variable resources and ESS to serve as a dispatch source for a VPP, the integrated power plant operator can receive settlement by multiplying the planned generation amount from the previous day by the SMP unit price from the previous day, and by multiplying the planned generation amount in real time by the real-time SMP unit price. In other words, the integrated power plant operator can receive settlement based on the sum of the two aforementioned factors.

[0083] In this regard, the resource operation plan calculation unit (130) can determine the charging and discharging schedule of the ESS by time period in a way that maximizes profit according to the market SMP of the day before and the real-time SMP.

[0084] The resource operation plan calculation unit (130) can calculate an operation scheduling result in which the ESS charges during a time period when the real-time SMP is low, and an operation scheduling result in which the ESS discharges during a time period when the SMP is high.

[0085] The real-time metering value is determined by the sum of the ESS charge / discharge output and the variable resource output. Since the electricity settlement amount and imbalance penalty revenue are determined based on the metering value, the ESS determines the ESS charge / discharge schedule based on the SMP.

[0086] In the case of the imbalance penalty, settlement can be made by imposing an imbalance penalty equal to the amount calculated by multiplying the excess generation amount—where the difference between the real-time generation amount and the dispatch instruction amount exceeds a certain standard value of the major resource facility capacity—by a penalty coefficient and deducting it from the revenue.

[0087] In one embodiment, a computer system such as a power supply resource operation device (10) may include at least one element among one or more processors, memory, storage unit, user interface input unit, and user interface output unit, and these may communicate with each other via a bus. Additionally, the computer system may also include a network interface for connecting to a network. The processor may be a CPU or a semiconductor device that executes processing instructions stored in memory and / or storage unit. The memory and storage unit may include various types of volatile / non-volatile memory media. For example, the memory may include ROM and RAM.

[0088] Hereinafter, a distributed energy resource-based power generation operation method (hereinafter referred to as the power generation operation method) using a power generation operation device (10) capable of performing all of the aforementioned disclosures will be described.

[0089] FIG. 4 is a flowchart illustrating a method for operating power supply resources according to one embodiment of the present disclosure.

[0090] Referring to FIG. 4, the dispatch resource operation method of the present disclosure may include an information collection step (S410) for receiving power market information, distributed energy resource information, and variability resource information at predetermined intervals; a predicted power generation amount calculation step (S420) for calculating a predicted power generation amount of a variability resource based on the variability resource information; and a resource operation plan calculation step (S430) for quantifying the power market information, distributed energy resource information, variability resource information, and the predicted power generation amount of a variability resource, setting an objective function according to the purpose of power system operation, and applying the quantified power market information, quantified distributed energy resource information, quantified variability resource information, and quantified variability resource predicted power generation amount to the objective function to calculate an operation schedule result value.

[0091] The dispatch resource operation method may further include an operation command transmission step that transmits operation commands based on the operation schedule result value to the VPP (Virtual Power Plant) configuration resources.

[0092] Electricity market information may include System Marginal Price (SMP) electricity market price information and generation plan bidding information.

[0093] Distributed energy resource information may include specifications of the ESS.

[0094] Volatility resource information may include the specifications of the variability resource and the predicted power generation amount.

[0095] The resource operation plan calculation step (S430) calculates the operation schedule result value by further considering constraints, and the constraints may reflect power market information or distributed energy resource information or variable resource information or numerical values ​​of the predicted generation amount of variable resources.

[0096] Constraints can be set so that the State of Charge (SOC) of the Energy Storage System (ESS) is maintained within a predetermined range.

[0097] Constraints can be set so that the maximum charging and discharging output of the ESS does not exceed the rating of the PCS (Power Conversion System).

[0098] The objective function can be set considering the revenue from VPP's dispatch resource operation.

[0099] The resource operation plan calculation step (S430) can update the operation schedule result value at predetermined intervals.

[0100] FIG. 5 is a flowchart for more specifically explaining step S430 according to one embodiment.

[0101] Referring to FIG. 5, the power supply resource operation device (10) can perform power market information, distributed energy resource information, variability resource information, and quantification of the predicted power generation amount of the variability resource (S510).

[0102] The feeder resource operation device (10) can set an objective function according to the operation purpose (S520). The quantification of each of the aforementioned pieces of information is intended to be applied to the objective function and the constraint conditions described below. As an example of the operation purpose, the objective function can be set so that the feeder resource operation profit of the VPP is maximized.

[0103] The power supply resource operation device (10) can reflect the numerical values ​​of each piece of information by setting constraints (S530). For example, the power supply resource operation device (10) can model a mathematical formula to which an objective function and constraints are applied, and reflect the numerical values ​​of each piece of information.

[0104] The power supply resource operation device (10) can apply numerical information to the objective function and calculate the operation schedule result value by considering the constraints (S540).

[0105] According to the embodiments of the present disclosure, the power supply resource operation device and method can establish a detailed optimal operation plan for distributed energy resources by reflecting characteristic information (rated PCS, capacity, efficiency, etc.) specific to each distributed energy resource, which is essential for power supply resource operation, into an optimization model.

[0106] In addition, the present disclosure can increase the reliability of power system energy supply by scheduling the output of variable resources and ESS (Energy Storage System) resources based on the daily market and real-time market during power supply resource conversion.

[0107] In addition, the present disclosure enables the maximization of operational profits from dispatched resources by establishing an optimal operation plan that reflects information on the physical characteristics of distributed energy resources and power market information.

[0108] In addition, the present disclosure can achieve more economical results than when information is not updated by reflecting newly updated information through the re-establishment of an operation plan at each specific operation cycle.

[0109] Furthermore, since the present disclosure allows for the different modeling of mathematical formulas (objective functions and constraints) depending on changes in the resource linkage structure and environmental configuration for dispatch resource management (e.g., standalone, linked, etc.), it enables optimized computation by customizing to suit the target environment.

[0110] The foregoing description is merely an illustrative explanation of the technical concept of the present disclosure, and those skilled in the art to which the present disclosure pertains may make various modifications and variations within the scope of the essential characteristics of the present disclosure. Furthermore, the embodiments disclosed in the present disclosure are intended to explain, not limit, the technical concept of the present disclosure, and thus the scope of the technical concept of the present disclosure is not limited by these embodiments.

[0111]

[0112] CROSS-REFERENCE TO RELATED APPLICATION

[0113] This patent application claims priority pursuant to Section 119(a) of the U.S. Patent Act (35 USC §119(a)) to Korean Patent Application No. 10-2024-0154706 filed on November 4, 2024, all of which are incorporated by reference into this patent application. Additionally, this patent application claims priority in countries other than the United States for the same reasons as above, all of which are incorporated by reference into this patent application.

Claims

1. An information collection unit that receives power market information, distributed energy resource information, and variability resource information at predetermined intervals; A predicted power generation calculation unit that calculates a predicted power generation amount based on the above-mentioned variability resource information; and A distributed energy resource-based dispatch resource operation device comprising a resource operation plan calculation unit that quantifies the above power market information, the above distributed energy resource information, the above variability resource information, and the above variability resource predicted generation amount, sets an objective function according to the purpose of power system operation, and applies the quantified power market information, the quantified distributed energy resource information, the quantified variability resource information, and the quantified variability resource predicted generation amount to the objective function to calculate an operation schedule result value.

2. In Paragraph 1, The above resource operation plan output unit is, Calculate the above operation schedule result value by further considering constraints, and The above constraints are, A distributed energy resource-based dispatching operation device that reflects the above power market information or the above distributed energy resource information or the above variability resource information or the figure of the predicted generation amount of the above variability resource.

3. In Paragraph 2, The above constraints are, A distributed energy resource-based dispatching operation device configured to maintain the State of Charge (SOC) of an Energy Storage System (ESS) within a predetermined range.

4. In Paragraph 2, The above constraints are, A distributed energy resource-based power supply operation device configured so that the maximum ESS charge / discharge output does not exceed the PCS (Power Conversion System) rating.

5. In Paragraph 1, The above power market information is, A distributed energy resource-based dispatch resource operation device including SMP (System Marginal Price) power market price information and generation plan bidding information.

6. In Paragraph 1, The above volatility resource information is, A distributed energy resource-based dispatching operation device including specifications of variable resources and predicted power generation.

7. In Paragraph 1, The above objective function is, A distributed energy resource-based dispatching operation device established in consideration of the dispatching operation revenue of a VPP.

8. In Paragraph 1, The Resource Operations Planning Output Department, A distributed energy resource-based dispatching resource operation device that updates the operation schedule result value at the above-mentioned predetermined intervals.

9. In Paragraph 1, The above distributed energy resource information is, Distributed energy resource-based dispatching operation device including ESS specifications.

10. An information collection step for receiving power market information, distributed energy resource information, and variability resource information at predetermined intervals; A predicted power generation calculation step for calculating a predicted power generation amount based on the above-mentioned variability resource information; and A distributed energy resource-based dispatch resource operation method comprising a resource operation plan calculation step of quantifying the above power market information, the above distributed energy resource information, the above variability resource information, and the above variability resource predicted generation amount, setting an objective function according to the purpose of power system operation, and applying the quantified power market information, the quantified distributed energy resource information, the quantified variability resource information, and the quantified variability resource predicted generation amount to the objective function to calculate an operation schedule result value.

11. In Paragraph 10, The above resource operation plan calculation step is, Calculate the above operation schedule result value by further considering constraints, and The above constraints are, A distributed energy resource-based dispatch resource operation method that reflects the above power market information or the above distributed energy resource information or the above variability resource information or the figure of the predicted generation amount of the above variability resource.

12. In Paragraph 11, The above constraints are, A distributed energy resource-based dispatching operation method in which the State of Charge (SOC) of an Energy Storage System (ESS) is set to be maintained within a predetermined range.

13. In Paragraph 11, The above constraints are, A distributed energy resource-based power supply operation method in which the maximum charging and discharging output of the ESS is set so as not to exceed the PCS (Power Conversion System) rating.

14. In Paragraph 10, The above power market information is, A distributed energy resource-based dispatch resource operation method including SMP (System Marginal Price) power market price information and generation plan bidding information.

15. In Paragraph 10, The above volatility resource information is, A distributed energy resource-based dispatching operation method including specifications of variable resources and predicted power generation.

16. In Paragraph 10, The above objective function is, A distributed energy resource-based dispatching operation method established by considering the dispatching operation revenue of a VPP.

17. In Paragraph 10, The resource operation plan output stage is, A distributed energy resource-based dispatch resource operation method that updates the operation schedule result value at the above-mentioned predetermined intervals.

18. In Paragraph 10, The above distributed energy resource information is, A distributed energy resource-based dispatch resource operation method including ESS specifications.

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