KR20210052925A - UNIFIED OPERATION SYSTEM and METHOD for DISTRIBUTED RESOURCES - Google Patents

Abstract

The present invention provides a distributed resource integration operating system capable of reducing energy costs of entities belonging to a corresponding site. According to the present invention, a system that integrates and operates multiple power grids at the site to be managed includes a data acquisition unit for acquiring monitoring information of the site and power grids; a predictor for predicting future power supply and demand from the accumulated monitoring information of the sites and power grids; an operation planning unit for creating a power operation plan for the site and the power grids according to the predicted future power supply and demand; an operation control unit for controlling the power grids according to the prepared power operation plan; and a storage unit for storing the accumulated monitoring information of the sites and power grids and the power operation plan information.

Description

Distributed resource integrated operation system and method {UNIFIED OPERATION SYSTEM and METHOD for DISTRIBUTED RESOURCES}

It relates to a distributed resource integrated operation system that can reduce energy costs and increase power grid operation efficiency.In particular, a distributed resource that can reduce the energy cost of the subjects belonging to the site while increasing the overall power grid operation efficiency of the site to be managed. It relates to an integrated resource management system.

In general, the electricity market is largely composed of power generation companies that sell electricity through the electricity market, sales companies that purchase electricity, and consumers. In Korea, power generation and sales companies can only trade power through the power market, and KEPCO is in charge of transmission, distribution, and sales that supply power to end consumers. In other words, the current electricity trading method is a method of buying and selling electricity produced by various power plants at a wholesale price at the KEPCO and selling it to general customers at KEPCO.

With the introduction of a smart grid-type microgrid that combines information and communication technology into a power transaction system, small power generation companies emerge, and power generation by various renewable energies becomes possible, consumers can purchase power from multiple power sellers. It has become possible for consumers to choose their own electricity seller.

What has brought a big change in the existing power industry is the development of ICT in the power industry and small distributed resources including new and renewable power sources and electric energy storage (ESS). Due to these technologies, it is no longer a problem of whether or not there is a wholesale market, but a new market environment is needed. Distributed resources are also connected to transmission lines depending on their capacity, but unlike large power plants in the past, they are connected to distribution lines and are changing the shape of the industry in the form of power plants with demand. With these changes, a big change began in the power industry, which suffered losses and operational difficulties only by relying on transmission from large power plants that are far from the city, which is a consumer of electricity.

1 is a conceptual diagram showing a smart grid operating environment based on distributed resources and ICT.

The purpose of change can be broadly divided into two. One is to activate low-carbon energy by using eco-friendly renewable energy sources. The second is to install distributed resources directly on demand sites to reduce transmission and distribution losses, and to reduce energy costs for buildings such as villages, factories, apartments, and buildings. From the 2000s to the present, smart grid technology was mainly used for these two purposes, for owners of distributed power to earn profits by selling their generated electric energy to the power market, or to use them to reduce electricity bills by self-consumption. Has been achieved and has developed. For example, x-EMS (FEMS; Factory EMS, BEMS; Building EMS) to reduce electricity bills in the premises, targeting small power plants using individual distributed resources, microgrids that combine several distributed resources, and factories or buildings. There is.

The biggest issues in this environment are the owners and installation locations of distributed resources that produce electricity, service methods, electricity production and facility maintenance, and distribution of profits for energy sales or savings. In the case of x-EMS (FEMS, BEMS) targeting buildings, there is no big problem with how to own and operate distributed resources because the building owner is mainly the owner of distributed resources and has the purpose of reducing their own energy costs. However, it is a different story in the case of communal housing facilities such as microgrids and apartments in the village. There may be problems that may arise when the location of the installed distributed resources uses individual private land or space, or there may be problems of operation and maintenance of the distributed resources installed individually.

On the other hand, most of the technologies for distributed resources that have been proposed so far are simply a method of purchasing electricity with the lowest electricity price, and thus have not been a realistic alternative to the above-described issues.

Republic of Korea Registration Publication No. 10-1569144

In the present invention, a business operator that sells energy has small-scale distributed power sources including new and renewable energy and energy storage resources such as ESS (Energy Storage System), and actively reduces energy costs by recruiting customers with energy customers at the local level. We intend to provide a distributed resource integrated operation system.

An object of the present invention is to provide a distributed resource integrated operation system that receives and executes the judgment of a business operator and a customer so that real-time distributed power operations and power transactions for customers can be performed on behalf of customers.

An object of the present invention is to provide a distributed resource integrated operation system that performs the operation and maintenance of facilities on behalf of the owner of the distributed power supply, sells the surplus and supports the purchase of insufficient energy through other resources.

A system for integrated operation of distributed resources according to an aspect of the present invention is a system for integrated operation of a plurality of power grids in a management target site, comprising: a data acquisition unit for obtaining monitoring information of the site and power grids; A prediction unit that predicts future power supply and demand from the accumulated monitoring information of the site and power grids; An operation planning unit for preparing an electric power operation plan for the site and electric power grids according to the predicted future electric power supply and demand; An operation control unit controlling the power grids according to the created power operation plan; And a storage unit for storing the cumulatively acquired monitoring information of the site and power grids and the power operation plan information.

Here, a collection interface that forms a collection path of monitoring information of the site and power grids; And a control interface for forming a transmission path of control instructions for the EMSs.

Here, the operation control unit, EMS operation service unit for instructing the operation of the EMS of the power grid and pursuing the economic operation of the power grid; An integrated power management service unit that seeks to stabilize the power demand and supply of the site and manages power distribution within the site; And an adjustment unit for adjusting when it is difficult to simultaneously achieve the economic operation of the power grid and the stabilization of the power demand and supply of the site due to the difference between the operation of the site and the power operation plan.

Here, the prediction unit predicts the generation amount of a renewable generator that the power grid operator can operate and performs a load prediction operation of the power grid, and the operation control unit is capable of reducing the energy use cost of the power grid operator. It is possible to perform optimal operation of energy exchange and distributed resource operation.

Here, the operation planning unit may create a power operation plan reflecting an understanding and adjustment plan for the economic operation of the power grid and the stabilization of power demand and supply of the management target site.

In accordance with another aspect of the present invention, there is provided a system for integrated operation of a plurality of power grids in a management target site, the method comprising: acquiring monitoring information of the site and power grids; Checking and taking measures of a capacity of a distribution line and a battery charge amount of the power grids; Estimating the amount and load of new and renewable generation, and calculating distributed resources and distribution line tide; Determining an optimal operation plan by checking battery and distribution network constraints; And adjusting distributed resources according to the optimal operation plan.

Here, the step of checking and taking action on the amount of charge of the battery may include: if the state of charge of the battery violates the upper and lower limit, performing charging until the restriction against charging through utility power reception or distributed power is resolved; And returning to the step of obtaining the monitoring information.

Here, the determining of the optimal operation plan may include: checking the upper and lower limits of the output of the battery from the result of the derived distributed power operation plan; If there are no violations of the upper and lower limits, calculating the distribution system power current according to the operation of the distributed resource and comparing it with the distributed resource operation plan and the load prediction of the distribution line, confirming the physical network operation restriction; And when there is no violation of the operating constraints of the distribution line, determining an optimal operation plan.

When the distributed resource integrated operation system of the present invention according to the above-described configuration is implemented, a business operator selling energy has small-scale distributed power sources including new and renewable energy and energy storage resources such as ESS (Energy Storage System), and local energy There is an advantage in that it can actively reduce energy costs by recruiting customers.

The distributed resource integrated operation system of the present invention has the advantage of performing operation and maintenance of facilities on behalf of the owner of the distributed power supply, selling the surplus and supporting the purchase of insufficient energy through other resources.

1 is a conceptual diagram showing a distributed resource and ICT-based smart grid operating environment.
Figure 2a is a block diagram showing a distributed resource integration operating system according to an embodiment of the present invention.
Figure 2b is a block diagram showing a detailed configuration of the operation control unit of Figure 2a.
FIG. 3 is a conceptual diagram showing a case where the integrated distributed resource operation system of FIG. 2A is applied to a site distributed in various regions including a distribution line by a service target customer.
4 is a block diagram showing a case where the integrated distributed resource management system of FIG. 2A is applied to a site in a common distribution bus such as an apartment house (apartment) or an industrial complex without including a distribution line.
5 is a conceptual diagram showing constraints related to various power operations that can be checked by an operation planning unit and an operation control unit.
6 is a flowchart illustrating an operating method for allocating optimal distributed resources in a distributed resource integrated operation system that provides services to customers distributed on a distribution line shown in FIG. 3;
7 is a flowchart illustrating an operating method for distributing optimal distributed resources to large-scale customers who are connected to a single distribution bus such as an apartment or industrial complex without considering the distribution network shown in FIG. 4;

In describing the present invention, terms such as first and second may be used to describe various elements, but the elements may not be limited by terms. The terms are only for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element.

When a component is connected to or is referred to as being connected to another component, it can be understood that it is directly connected to or may be connected to the other component, but other components may exist in the middle. .

The terms used in the present specification are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions may include plural expressions unless the context clearly indicates otherwise.

In the present specification, terms such as include or include are intended to designate the presence of features, numbers, steps, actions, components, parts, or a combination thereof described in the specification, and one or more other features or numbers, It may be understood that the possibility of the presence or addition of steps, actions, components, parts, or combinations thereof, is not preliminarily excluded.

In addition, shapes and sizes of elements in the drawings may be exaggerated for clearer explanation.

In the present invention, the energy cost reduction service is basically a service by using the operator's own distributed resources, so the service must be performed by grasping all the energy consumption patterns of the recruited customers and the power equipment output characteristics if there is power equipment in the customer's premises. Reflects that. In other words, after grasping the customer's energy consumption pattern and the power characteristics of the customer's premises, the customer's energy cost is reduced by supplying energy through the business operator's distributed power supply at an appropriate time by comprehensively considering the utility, power market and other energy purchase prices We intend to implement energy saving services so that they can be reduced. In the case of regional energy saving services such as factories in industrial complexes where the target of the service is to consider the distribution system, system analysis technology such as electric current calculation or review of violation of reactive power constraints, as the service must be performed in consideration of the capacity constraints of the distribution system. Can be added.

The direction of improvement suggested by the present invention is as follows.

First, in the form of delivering electricity produced by large power plants in the past to customers through transmission and distribution lines and trading in the wholesale market, in the future, service providers in regions including energy load groups or distribution lines in addition to the past electricity sales form. It is necessary to change the energy supply structure to a more improved energy supply structure, such as supplying energy to customers (loads) using their own distributed resources, and trading in wholesale or retail markets as service providers, not wholesale markets, become agents of customers who are consumers. Do.

Second, since the conventional ICT-based smart grid technology focuses on efficiently operating the power grid, we present distributed resources and load sensors that enable real-time comprehensive energy services, energy service operation devices, and operation techniques.

Third, it presents the necessary application functions and usage methods so that optimal energy services can be achieved in a smart grid environment for energy saving services.

2A shows a distributed resource integrated operation system according to an embodiment of the present invention.

The illustrated distributed resource integrated operation system is a system for integrated operation of a plurality of power grids in a management target site, comprising: a data acquisition unit 200 for obtaining monitoring information of the site and power grids; A prediction unit 300 for predicting future power supply and demand from the accumulated monitoring information of the sites and power grids; An operation planning unit 400 for preparing a power operation plan for the site and power grids according to the predicted future power supply and demand; An operation control unit 600 for controlling EMSs of the power grids according to the created power operation plan; And a storage unit 500 for storing the accumulated and acquired monitoring information of the site and power grids and the power operation plan.

Depending on the implementation, the illustrated distributed resource integration operating system includes: a collection interface 800 forming a collection path of monitoring information of the site and power grids; And a control interface 900 for forming a transmission path of control instructions for the EMSs.

Depending on the implementation, the operation control unit 600, as shown in Figure 2b, pursuing the economic operation of the power grid and instructing the operation of the EMS of the power grid EMS operation service unit 620; An integrated power management service unit 640 that seeks to stabilize the power demand and supply of the site and manages power distribution within the site; And an adjustment unit 660 that adjusts when it is difficult to simultaneously achieve the economic operation of the power grid and the stabilization of the power supply and demand of the site due to the difference between the operation of the site and the power operation plan. .

The EMS operation service unit 620 is for customers who occupy/manage the power grid by moving into the management target site (e.g., local government area), and the requirements and system specifications from the power grid manager (owner). By receiving information, etc., an operation plan of the power grid that is most economically beneficial to the customer is prepared.

The integrated power management service unit is for the entire power grid manager of the management target site (e.g., a local government area), receives requirements and management conditions from the power grid manager, and provides an operation plan and power of the power grids. Reflect in control.

In some cases, it is difficult to achieve the'economic operation of the power grid' and the'stabilization of power demand and supply of the managed site' at the same time, and it may be necessary to adjust this as a kind of trade-off. In general, such adjustments are performed during the creation of the power operation plan, and the understanding and adjustment plan of the'economic operation of the power grid' and the'stabilization of power demand and supply of the managed site' is reflected in the power operation plan. .

However, the power operation plan is based on the predicted value of power demand/supply. Due to the difference between the actual situation during the operation of the management target site and the forecast in the power operation plan, the economic operation of the power grid and the power demand supply of the site There may be cases where it is difficult to simultaneously achieve stabilization.

In this case, the adjustment unit 660 performs the above-described adjustment of the interest relationship, which can be adjusted according to the service level of customers who have entered the site. For example, a customer with a high economic service level can perform the EMS control for economic operation of the power grid, and a customer with a low economic service level can perform the EMS control for stabilization of the power demand and supply of the site. have.

When an insurance or additional compensation contract is concluded according to implementation, the adjustment unit 660 may support a task of compensating for a difference due to the adjusted operation compared to the case of the best economic operation due to the adjustment of the interest.

FIG. 3 shows a case in which the integrated distributed resource management system of FIG. 2 is applied to a site 80 distributed in various regions including a distribution line by a customer serving as a service target.

FIG. 4 shows a case where the integrated distributed resource management system of FIG. 2 is applied to a site 160 on a common distribution bus such as an apartment house (apartment) or an industrial complex without including a distribution line. That is, FIGS. 3 and 4 are examples of applications of the integrated distributed resource management system according to an embodiment of the present invention, according to whether or not a distribution line is considered.

As shown in Fig. 3, the distributed resource integrated operation system 1001, which provides services to customers distributed on the distribution line, acquires the status of the distribution line from the data acquisition server 201 as a data acquisition unit and operates. The planning unit 401 prepares a plan in consideration of the physical constraints of the distribution line.

The illustrated distributed resource integrated operation systems 1001 and 1002 are modules that interface external/internal networks, respectively, and include collection interfaces 801 and 802, data acquisition servers 201 and 202, and renewable renewable sources that can be operated by service providers. Prediction units (401, 402) for predicting the power generation amount of the generator and calculating the load of the customer, and an operation control unit (601, which performs optimal calculations of energy exchange between different types of energy and operation of distributed resources as possible to reduce the customer's energy use cost) 602).

3 and 4, distributed resources for customer service include small cogeneration plants 81 and 161, battery energy storage devices 82 and 162, wind power generators 84 and 164, and photovoltaic power generation 85. There may be distributed resources such as 165), and the service target may include customers 83 and 163 such as houses, apartments, factories, and industrial complexes.

3 and 4, the operating state of each distributed resource and the energy consumption state of the customer are acquired through data acquisition devices 87 and 167 such as a smart sensor, a smart meter, and an IoT sensor, and the collection interface 801, It is transmitted to the distributed resource integration operating systems 1001 and 1002 through 802, and is acquired/stored through the data acquisition servers 201 and 202, and transmitted to each necessary operation module.

Depending on the implementation, the battery energy storage devices 82 and 162 shown in FIGS. 3 and 4 are electric vehicles (EVs) equipped with a V2G (Vehicle to Grid) function capable of supplying power by discharging when necessary. In this case, the distributed resource operation optimal plan calculation modules 10 and 90 may calculate the required amount of residual energy (SOC) of the electric vehicle and the electric vehicle charging/discharging cost.

Among the configurations of the distributed resource integrated operation system 1000 of the present invention, the operation planning unit 400 and the operation control unit 600 in accordance with the spirit of the present invention in performing operation services for the site and each power demand supply subject customers , You can check various constraints.

5 shows constraint conditions related to various power operations that can be checked by the operation plan unit 400 and the operation control unit 600.

More specifically, FIG. 5 is a block showing in detail the exchange between distributed resources and heterogeneous energy of the energy saving service operating device through the control of distributed power and battery (or EV V2G) according to an embodiment of the present invention, and an optimal operation plan and real-time control. As a configuration diagram, for example, it can be seen that the first problem is to minimize the individual energy cost of each subscribed customer, and for this, it can be seen that the available distributed resources and the physical capacity (limit) of the distribution line are the constraints.

As a module for calculating the energy exchange operation and optimal distributed resource operation plan shown in Figs. 3 and 4, the operation planning units 401 and 402 are provided with a weather forecast, which is real-time information of the data acquisition server, the energy consumption status of the customer, and the current renewable energy. Distributed resource output status, battery energy storage device (or EV) charge amount status (SOC) information, new renewable power generation prediction and customer load prediction information of the prediction module are acquired, and the charge/discharge amount of the battery energy storage device in units of tens of minutes in the future every few minutes. , Distributed power output amount, exchange amount between heterogeneous energy, battery energy storage device (or EV), and distributed power output amount are determined through optimization calculation. At this time, the operation planning unit 401 to consider the distribution line of FIG. 3 also acquires information on the amount of current in the distribution line along with the above-described acquisition information, and the battery energy storage device (or EV) and distribution within the allowable range of the distribution line. The amount of power output is determined through an optimization operation.

The operation control units 601 and 602 shown in Figs. 3 and 4 are for real-time control and emergency control of the power system of the site and the EMS rules of each customer, and an operation plan that is a module for calculating energy exchange between heterogeneous energy and an optimal distributed resource operation plan The results (operation plan) of the parts 401 and 402 are transferred to the battery energy storage device (or EV) and controllable distributed power supply, respectively, and the emergency control is mainly discharged at the lower limit of the remaining charge of the battery energy storage device (or EV). The distributed power output can be cut off when the supply) is interrupted or when the distributed power is started, or when the remaining charge is over the upper limit and the allowable range of the distribution line in (80) is exceeded.

The optimal operation plan for exchange and distributed resources between different types of energy prepared by the operation planning units 401 and 402 is aimed at minimizing the energy cost of each energy saving service subscriber. The objective function will be determined for the purpose of minimizing the power generation cost and charge/discharge cost of the distributed power supply and battery energy storage device (or EV) that can be provided, and can be expressed as Equation 1 below.

Here, the remaining customer i's electricity (e), heat (h), gas (g) load pattern NL and each energy cost Ce, Ch, Cg, and power supplied from the utility Ue , Heat Uh, gas Ug, and the sum of the cost of each energy charge Ce, Ch, and Cg for each time period is minimized.

Equation 1 is the electricity (e), heat (h), gas (g) load prediction pattern FL of each service subscription, which receives energy from the distributed resources held by the service provider and receives power from the remaining net load pattern NL and utility. Through energy, optimization calculations are performed to minimize the energy cost of each customer.

Meanwhile, the difference between the sum of the supply of the renewable generator and the generator using fuel, the sum of the charge and discharge amount of the battery energy storage device (or EV), the electricity supplied from the utility, and the load prediction pattern is the sum of the net load pattern for each time period. It can be expressed as in Equation 2.

As a constraint of the optimization model, Re is the predicted amount of generation by time of the new and renewable generator secured by the service provider, Ge is the generator that produces electricity, and Pch and Pdch are the battery energy storage device (or EV) charge amount and room, respectively. It is a form of electric energy supply and demand balance that expresses that the difference between the sum of the total amount and the amount of electric power received by time from the utility Ue and the load prediction pattern FL of each customer is the additional energy required, that is, the remaining load pattern NL. This can be expressed as Equation 3 below.

In the above equation, the difference between the sum of the amount of energy converted from electricity to heat through the energy exchange device and the amount of the generator (boiler) that produces heat, the amount of heat stored in a heat storage device such as a heat storage tank, the sum of heat supplied from the utility, and the load prediction pattern is It means the sum of the net load patterns for each time period.

In addition, the balance of supply and demand for heat energy is the coefficient α of the device that converts electricity to heat energy, Gh is the generator (boiler) that produces heat, and Hch and Hdch are the heat storage units of the business operator and the amount of heat dissipation, respectively, by time from the utility. It is an equation that expresses that the difference between the sum of the heat received Uh and the load prediction pattern FL of each customer is the additional energy required, that is, the remaining load pattern NL. In terms of the energy supply industry, gas and heat exchange is excluded in this optimization model because it is economical to supply gas and transform it into heat or directly supply heat.

(0 또는 1)는 i의 기동상태

(0 또는 1)와 정지상태

(0 또는 1)로 하기 수학식 4와 같이 나타낼 수 있다.On the other hand, the on/off state of the generator or boiler i that can supply electricity and heat at time t

(0 or 1) is the starting state of i

(0 or 1) and stopped state

(0 or 1) can be expressed as in Equation 4 below.

와 방전량

는 각각 충전 최대값

와 방전 최대값

을 넘을 수 없다. 이는 하기 수학식 5와 같이 표현할 수 있다.In the case of the battery energy storage device (or EV), since there is no fuel cost, the SOC of the remaining charge of the battery can be expressed as the efficiency eff for charging and discharging, and at this time, the charging state x (0 or 1) of the battery i for time t and Battery charge according to discharge state y (0 or 1)

And discharge amount

Is the maximum value for each charge

And discharge maximum value

Cannot be exceeded. This can be expressed as in Equation 5 below.

)·하한(

) 제약을 주는 것이 중요하다.That is, the charging/discharging output of the battery must be within the physical capacity of the battery, and the SOC is also above the appropriate range in consideration of the life of the battery as shown in Equation 6 below.

), lower limit (

) It is important to impose restrictions.

Finally, the sum of the output of the generator and the battery (or EV) must be equal to the residual demand NL expressed in the above equations to balance the supply and demand of the load and power generation for each t time period.

If the SOC information obtained from the battery energy system (or EV) 82, 162 does not violate the upper/lower limit of the current battery SOC value, real-time control and emergency control of the operation results of the operation planning units 401 and 402 It is transmitted to the control interface 900 through the operating control units 601 and 602 to be performed. In addition, the operation scheduling operation result may be updated every tens of minutes to reduce the prediction error of the operation planning units 401 and 402.

FIG. 6 is a flowchart illustrating an operation method for allocating optimal distributed resources in the integrated distributed resource operation system 1001 that provides services to customers distributed on the distribution line illustrated in FIG. 3. According to the illustrated flowchart, the operation planning unit 401 and the operation control unit 601 may check various power-related constraint conditions.

An operating method for allocating the illustrated optimal distributed resources includes the steps of obtaining monitoring information of a management target site and power grids (S10); Checking and taking measures of the capacity of the distribution line and the amount of battery charge of the power grids (S20, S30, S31, S32); Estimating the amount and load of new and renewable power generation, and calculating distributed resources and distribution line algae (S50); Determining the optimal operation plan by checking the battery and distribution network constraints (S60, S70, S80, S85); And adjusting the distributed resources according to the optimal operation plan (S90).

First, the energy consumption status of each customer acquired through the collection interface 801 and the data acquisition server 201 of FIG. 3, the output status of the distributed resources, the current status of the distribution lines distributed by the customer, and the weather forecast data are stored. It is stored in the unit 500 (S10). At this time, among the stored information, the service provider's battery (or EV) charge is insufficient and the current amount of the distribution line exceeds the capacity of the distribution line, and the constraints are checked (S20), and if there is no violation of the constraint, the amount of renewable power generation and the customer load are predicted. (S40) to calculate distributed resources and distribution lines.

Based on the result of the above prediction step (S40), the amount of exchange of heterogeneous energy such as electricity, heat, gas, etc. and a distributed resource operation plan are derived. In the result of the derived distributed power operation plan, the output of the battery (or EV) checks the upper and lower limits (S60), and if the restrictions are violated, recalculation is performed, and if there are no violations, the operation of the distributed resources is followed. The distribution system power current is calculated and compared with the distributed resource operation plan and the load prediction of the distribution line, and physical network operation restrictions are checked (S80). As a result of the verification, if there is a violation of the operational constraints of the distribution line, the optimal operation plan step for distributed resources (S50) is recalculated, and if there is no violation of the operational constraints of the distribution line (S80), the optimal operation plan is determined (S85). , The output adjustment (control) amount for each distributed resource, which is the result of the optimal operation plan operation, is transmitted to each distributed power source (S90).

On the other hand, if the restrictions of the battery (or EV) and the distribution line are violated in step S20, first check whether the state of charge of the battery (or EV) is within the upper and lower limits (S30). Charging is performed until the restriction against charging through power is resolved (S31), and the process returns to step S10, which is an initial process. If there is no violation of the upper limit and lower limit of the battery (or EV) (S30), the discharge of the battery (or EV) is stopped (S32), and then the initial process returns to step S10.

Each step of the illustrated flowchart is performed by the operation planning unit 401 and the operation control unit 601 of FIG. 3. For example, steps S90 and S30, S31, and S32 may be performed by the operation control unit 601, and other steps may be performed by the operation plan unit 401.

Depending on the implementation, each step of the illustrated flowchart may be performed in real time during operation of the power grid, or may be performed in advance and the result may be stored in a storage unit.

For example, in the case of an implementation aiming for real-time adjustment/control, only step S10 and generation of back data may be performed and stored in advance, and most other steps may be performed in real time.

For example, in the case of an implementation that emphasizes the creation of an operation plan and aims to reduce the weight of a real-time control system, steps S90 and S30, S31, and S32 are performed in real time, and other steps are performed in advance and the result can be stored in a storage unit. . In this case, the optimal operation plan determined in step S85 of determining the operation plan between steps S80 and S90 may be stored in a DB (storage unit).

In the illustrated flow chart, if a violation occurs in each module in which the violation is checked during operation plan creation, it goes up through the feedback route to perform recalculation, and steps S10 to S80 until the output adjustment amount for each distributed resource is derived ( Alternatively, it can be seen that step S90) is repeatedly performed.

7 is a flowchart illustrating an operation method for distributing optimal distributed resources to large-scale customers who are connected to a single distribution bus such as an apartment or industrial complex without considering the distribution network, as shown in FIG. 4.

An operating method for allocating the illustrated optimal distributed resource includes the steps of obtaining monitoring information of a management target site and power grids (S110); Checking and taking measures of the capacity of the distribution line and the amount of battery charge of the power grids (S120, S131); Estimating the amount and load of new and renewable power generation, and calculating distributed resources and distribution line algae (S150); Determining the optimal operation plan by checking the battery and distribution network constraints (S160, S185); And adjusting the distributed resources according to the optimal operation plan (S190).

First, the energy consumption status of each customer acquired through the collection interface 802 and the data acquisition server 202 of FIG. 4, the output status of the distributed resources, and weather forecast data are stored in the storage unit 500 (S110). . At this time, it checks whether the charge amount of the battery (or EV) of the service provider is insufficient among the stored information (S120), and if there is no violation of the restriction, a predicted value of the amount of renewable power generation and the customer load is calculated (S140).

Based on the result of the above prediction step (S140), an amount of exchange of heterogeneous energy such as electricity, heat, gas, etc. and a distributed resource operation plan are derived (S150). From the result of the derived distributed power operation plan, the output of the battery (or EV) is checked for the upper and lower limits (S160), and if the restrictions are violated, recalculation is performed, and if there are no violations, the optimal operation plan (S150) Is determined, and the output adjustment (control) amount for each distributed resource, which is a result of the optimal operation plan calculation, is transmitted to each distributed power source (S190).

On the other hand, if the restrictions of the battery (or EV) and the distribution line are violated in the step S120, charging is performed until the restriction against charging through utility power reception or distributed power is resolved (S131), and the initial process is step S10. Return to

Each step of the illustrated flowchart is performed by the operation planning unit 402 and the operation control unit 602 of FIG. 4. For example, steps S190 and S131 may be performed by the operation control unit 602, and other steps may be performed by the operation planning unit 402.

Depending on the implementation, each step of the illustrated flowchart may be performed in real time during operation of the power grid, or may be performed in advance and the result may be stored in a storage unit.

For example, in the case of an implementation aiming for real-time adjustment/control, only step S110 and generation of back data may be performed and stored in advance, and most other steps may be performed in real time.

For example, in the case of an implementation that emphasizes the creation of an operation plan and aims to reduce the weight of the real-time control system, steps S190 and S131 are performed in real time, and other steps may be performed in advance and the result may be stored in a storage unit. In this case, the optimal operation plan determined in step S185 of determining the operation plan between steps S180 and S190 may be stored in a DB (storage unit).

In the illustrated flow chart, if a violation occurs in each module where violations are checked while creating an operation plan, steps S110 to S180 (steps S110 to S180) go up through the feedback route and perform recalculation until the output adjustment amount for each distributed resource is derived ( Alternatively, it can be seen that step S190) is repeatedly performed.

Those skilled in the art to which the present invention pertains, since the present invention may be implemented in other specific forms without changing the technical spirit or essential features thereof, the embodiments described above are illustrative in all respects and should be understood as non-limiting. Only do it. The scope of the present invention is indicated by the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. .

200: data acquisition unit
300: prediction unit
400: Operation planning department
500: storage
600: operation control unit
800: acquisition interface
900: control interface
1000: Distributed Resource Integration Operation System

Claims (8)

In a system that integrates and operates a number of power grids in a managed site,
A data acquisition unit that acquires monitoring information of the site and power grids;
A prediction unit that predicts future power supply and demand from the accumulated monitoring information of the site and power grids;
An operation planning unit that prepares power operation plans for the site and power grids according to the predicted future power supply and demand;
An operation control unit controlling the power grids according to the created power operation plan; And
A storage unit for storing the cumulatively acquired monitoring information of the site and power grids and the power operation plan information
Distributed resource integration operating system comprising a.
The method of claim 1,
A collection interface forming a collection path of monitoring information of the site and power grids; And
A control interface that forms a transmission path of control instructions for the EMSs
Distributed resource integration operating system further comprising a.
The method of claim 1,
The operation control unit,
An EMS operation service unit that pursues the economic operation of the power grid and directs the operation of the EMS of the power grid;
An integrated power management service unit that seeks to stabilize the power demand and supply of the site and manages power distribution within the site; And
A coordinator that adjusts when it is difficult to simultaneously achieve the economic operation of the power grid and the stabilization of the power demand and supply of the site due to the difference between the operation of the site and the power operation plan.
Distributed resource integration operating system comprising a.
The method of claim 1,
The prediction unit predicts a generation amount of a renewable generator that the power grid operator can operate and performs a load prediction operation of the power grid,
The operation control unit is a distributed resource integrated operation system that performs the optimal operation of the energy exchange between different types of energy and distributed resource operation so as to reduce the energy use cost of the power grid operator.
The method of claim 1,
The operation plan unit,
Distributed resource integrated operation system for creating a power operation plan reflecting the economic operation of the power grid and an understanding and adjustment plan for the stabilization of power demand and supply of the management target site.
In a system that integrates and operates a number of power grids in a managed site,
Obtaining monitoring information of the site and power grids;
Checking and taking measures of a capacity of a distribution line and a battery charge amount of the power grids;
Estimating the amount and load of new and renewable generation, and calculating distributed resources and distribution line tide;
Determining an optimal operation plan by checking battery and distribution network constraints; And
Adjusting distributed resources according to the optimal operation plan
Distributed resource integration operation method comprising a.
The method of claim 6,
The step of checking and taking action on the battery charge amount,
If the state of charge of the battery violates the upper and lower limits, performing charging until the restriction against charging through utility power reception or distributed power is resolved; And
Returning to the step of acquiring the monitoring information
Distributed resource integration operation method comprising a.
The method of claim 6,
The step of determining the optimal operation plan,
Confirming the upper and lower limits of the output of the battery from the derived distributed power operation plan result;
If there are no violations of the upper and lower limit restrictions, calculating the distribution system power current according to the operation of the distributed resource and comparing it with the distributed resource operation plan and the load prediction of the distribution line, confirming the physical network operation restriction; And
Distributed resource integrated operation method including the step of determining an optimal operation plan when there is no violation of the operating constraints of the distribution line.

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