DE102018110630A1 - Method for designing a power supply and distribution system - Google Patents

Abstract

The invention relates to a simulation system (1) and method for optimized design of a power distribution and supply system (10) comprising a plurality of energy-generating, energy-storing and energy-consuming system components (SYSi) in at least one efficiency value (Eff) of a physical or economic size.

Description

The invention relates to a method for optimized design of a power supply and distribution system.

Energy supply and distribution systems for generating, storing and extracting energy are already known from the prior art. In the context of the energy turnaround and the energy-efficient supply, in particular the most self-sufficient energy supply of buildings, building complexes, infrastructure and correspondingly operated facilities, there is an increasing need in both private and commercial and industrial sector to design and operate intelligently designed systems that optimally on the Consumers and energy sinks on the one hand in relation to the components of energy production and the intermediate storage of energy on the other hand are matched. Currently isolated solutions often arise, which may later be extended but were not interpreted under optimization and economic considerations.

As such power distribution systems are interpretable and scalable in a variety of factors, system designers of such systems quickly reach their limits in determining appropriate overall concepts.

As just one example, a 1000 kW power supply and distribution system consisting of z. As a PV system, a buffer memory, two charging stations for charging and recovery of energy from an energy storage of a vehicle, a network connection for feeding and extracting energy from the public network and a central control considered. For a plant planner it is initially completely indefinable how he should interpret the individual components and a corresponding system with regard to system configuration, capacities and dimensioning. In addition to the scalable variables of the individual components and their performance data, unknown factors are added, such as removal capacities, energy consumption, number of vehicles to be charged and discharged at the charging stations, orientation and location of the building (geographical climate data), economic data, such as feed-in tariff, Power costs, power consumption behavior in the day / post cycle, etc. Ultimately, the system designer has to look at many unknowns, which in practice are more or less accurately estimated taking into account certain assumptions.

Typically, theoretical assumptions for each individual component are currently used as the basis, a respective safety margin is determined on the basis of consumption values and, based on this, the components designed in this way are combined to form an overall system. So z. For example, the PV system is planned oversized and, regardless of the configuration of the charging stations, the familiar parameters such as roof pitch, location, orientation and, in particular, the desired power are incorporated into the planning and design of the PV system. Since additional reserves are also calculated, the system is typically not dimensioned in the optimum. Optimum in the sense of the present invention is understood to be a state in which, in particular, the cost / benefit ratio is as low as possible, which means that the required services can be taken from the system with minimal investment and expense. Thus it would be harmless, depending on the electricity tariff of the public network provider, if the costs for the buffer memory can be reduced because the charge of vehicles takes place at night and accordingly the controller must be configured to only partially extract the required power from the buffer tanks and to another part of the public network at a discounted night tariff over the mains connection.

The task is even more difficult if the user-related and cost-driving factors in the design of individual components are to interact with the system design of the other components. In the prior art, no method is known as to how such a system is to be interpreted in or near optimum.

It is also typical in practice to dimension the network connection power correspondingly high, in order to securely catch bottlenecks and acceptance peaks via a power supply from the network. However, this can lead to high basic costs due to a generally too high grid connection power, since the system planner has to plan and purchase correspondingly high grid connection power, so that, as a result, the planned system does not already have an optimized system concept for this reason alone.

In addition, for certain times low energy yield from z. As the PV system typically includes a security when the grid connection included. In this way, however, the grid connection would also be dimensioned completely incorrectly taking into account the further system components and the possible intermediate storage. The same applies to the discharge behavior via the charging stations. If it is assumed that theoretical values, one would interpret the grid connection or the buffer memory, if necessary, on the expected removal values when loading two vehicles, so that this supply of z. B. 2 x 350 kW would make sure. If a fuel cell is additionally operated, then this would also be interpreted appropriately. The more such components are integrated in a power supply and distribution system, the more difficult it is to make the system design within an optimal range. Even if a planner would design all components from a single source and thus the entire system in a planning manner, there is currently a lack of suitable systems, methods and methods in order to optimally carry out such a technical design.

It should be noted that in the present invention is not about to operate a system at an optimum operating, but initially to obtain a configuration optimum in order to ensure later meaningful operation can. Subsequent system changes and adjustments are usually very expensive and sometimes partly not feasible for purely practical reasons. As a result, a system that is not optimally designed can no longer be transformed into a system optimum, since even the additional expenses required for subsequent adaptation render the system design impossible in such an optimum overall, since the cost / benefit ratio is already worse at this point in time additional cost-cutting measures only further worsened.

The invention is therefore based on the object to provide a device and a method to be able to configure a power supply and distribution system (10) in particular with the use of a connection to a public power grid or to determine a system optimum.

This object is achieved by the feature combination according to claim 1.

According to the invention, in one embodiment, a simulation system is proposed with means for generating and / or processing simulation data of a simulation target space in which a number of energy-generating, energy-storing and energy-consuming system components are located, as a plurality of elements, wherein between at least two elements each an energy flow takes place to make it a simulation target space; Evaluation and / or calculating means for calculating a power factor relating to each two or more elements of the plurality of elements, taking into account their prioritization on the basis of the simulation data; Evaluation means for evaluating the performance data that will be provided or consumed by each element, using the factors that have been determined to determine therefrom the system components for which an optimum results with respect to a variable efficiency value.

In this respect, it requires a computing unit that is designed so that this information and / or information on the system components as such as prioritization data (such as the price of energy at a given time, priority of a system component before another, the energy price at a decrease certain amount of energy, extraction of energy only at a value less than a predetermined value, etc.) can process in the simulation of the entire system on a simulation model.

1. a. Mittel zum Auswählen von mindestens den energieverbrauchenden Systemkomponenten (SYSi);
2. b. Mittel zur Bestimmung der Dimensionsgrößen und/oder der physikalischen Leistungsgrößen der erforderlichen Systemkomponenten für das Energieverteiler-und Versorgungssystems abhängig von der getroffenen Auswahl von einzelnen, mehreren oder allen Systemkomponenten in Schritt a) und/oder (systemrelevanten) Variablen entsprechend deren physikalischer Größen,
3. c. wobei eine Regelungseinrichtung und/oder eine Auswerteeinheit vorgesehen ist, die ausgebildet ist nach einem systemischen, vorzugsweise iterativen Vergleich eines ausgewerteten Effizienzwertes mit in einem Datenspeicher hinterlegten Kennwert, repräsentierend für einen Effizienzwert eines aus diesen Systemkomponenten gebildeten Energieverteiler-und Versorgungssystems die Ermittlung der Dimensionsgrößen und/oder der physikalischen Leistungsgrößen bei Bedarf so anzupassen, dass der jeweils darauf basierende Effizienzwert im Bereich eines lokalen oder absoluten Maximums oder Minimums liegt.

In this respect, according to the invention, a simulation system for the optimized design of a power supply and distribution system consisting of a plurality of energy-generating, energy-storing and energy-consuming system components (SYSi) in at least one efficiency value of a physical or economic size, comprising a central controller, comprising:

1. a. Means for selecting at least the power consuming system components (SYSi);
2. b. Means for determining the dimensional quantities and / or the physical performance quantities of the required system components for the power distribution and supply system depending on the selection of individual, several or all system components in step a) and / or (system-relevant) variables corresponding to their physical quantities,
3. c. wherein a control device and / or an evaluation unit is provided, which is designed according to a systemic, preferably iterative comparison of an evaluated efficiency value with a characteristic stored in a data memory representing an efficiency value of an energy distribution and supply system formed from these system components the determination of the dimensional variables and / or to adjust the physical performance quantities as needed so that the respective efficiency value based thereon is in the range of a local or absolute maximum or minimum.

The central controller should have a computer adapted to the computing power. In the case of feature c), this can be done in particular on the basis of a simulation model. A peculiarity lies in the fact that one can carry out a first simulation so to speak with few data without knowledge of all system sizes and consumption values can and then increasingly approaches the system optimum in the degree of optimization. The number of optimization steps in the simulation can be adapted to the desired degree of optimization and terminated when a certain degree of optimization is reached.

In a preferred embodiment of the invention, it is provided that the characteristic value taken for the optimization is a value from a characteristic diagram which comprises those characteristic curves which in each case represent a different combination of respective system components of very different dimension sizes and / or physical performance variables. With a different number of system components, therefore, different optimizations result.

The technical effect of the use of such characteristic curves can be seen in the fact that there is not a single design optimum, but give both local and absolute maxima or minima and automatically changes the optimum depending on the change of a physical value of a system component. As an example, it should be mentioned that z. B. a change in the range of the vehicles to be loaded of z. B. 50 km to 100 km thus with a change in performance, namely twice the removal power of electrical energy from the system by the energy-storing and energy-consuming system components, here the on-board batteries of the affected vehicles, the characteristic automatically shifts to a possibly closer to or further away the optimum value with otherwise unchanged performance of the other system components. When optimizing the system design, this can mean either increasing the capacity of the buffer memories in the system, adapting the network connection performance and / or another system component in its performance data. By means of the system according to the invention can now make an adjustment in the system design based on the optimization of an efficiency value in a simple and fast way by means of the evaluation.

The efficiency value may be, for example, a value that takes into account the cost of the overall system. Would in the previous example z. B. the network connection performance can be increased, but this increase be associated with higher costs than a comparable adjustment of a buffer memory, the evaluation unit would from the function of the efficiency value, which is a function of various variables, eg. B. by means of a partial derivative of the local proximate maxima can determine. It would be conceivable that two or more maxima arise. So z. B. conceivable that, taking into account a security reserve for other consumers, both the grid connection capacity and the buffer storage capacity would be increased, but the system evaluates that a system optimum would be achieved that in addition the provision of a PV system is more targeted. It would also be conceivable that instead of a initially configured PV system, a fuel cell of a certain power size would now be better suited and the entire system with the consumers to be connected and the performance data for the vehicle batteries with desired range z. B. would do without a network connection.

It has been found that it is not possible to easily determine such systems and their design when changing a system parameter. With the simulation method according to the invention, however, not only a determination method is provided, but a system simulation device that makes it possible to detect the energy flows and capacities. This makes it possible to automatically determine an optimized configuration with a better efficiency value and then make decision variables available to a user on an output device. So it would be z. B. conceivable that a configuration would be evaluated in the simulation, in which a first efficiency value has a maximum, z. As the manufacturing and operating costs, while another configuration has maximized a different efficiency value, in which z. B. the highest reliability at low cost is essential for the design of the system.

In a further advantageous embodiment of the invention, it is provided that the means for selecting at least the energy consuming system components comprise a display and input device, wherein the input device further comprises an input facility for inputting variables for at least the consumption values of the energy consuming system components and operating parameters System components provided for the power distribution and supply system.

Further advantageous is an embodiment in which the means further comprises a data memory having a plurality of stored functions and / or characteristic fields representing the functional dependence of the efficiency value of the power distribution and supply system of the change of a system component with respect to the dimensioning of the other system components.

It is further preferred if the efficiency value is provided as a function of n variables, an optimum of the efficiency value representing a local extreme point of this function, preferably determined by the partial derivatives of the function and the resulting maximum value conditions or minimum value conditions, ie grad (f) with a corresponding zero evaluation and the evaluation whether the course of the function in dependence of the corresponding variable around the local extremum concave (minimum) or convex (maximum) runs.

In a likewise advantageous embodiment of the invention, it is provided that the evaluation unit for the system components in each case uses simulation modules which can be parameterized at least in their performance data. The simulation modules are designed so that they simulate the system component in the overall system according to a simulation model.

Furthermore, it is advantageously provided that a specific configuration of system components and their electrical performance data and / or electrical storage capacity is determined from stored data of a data memory and received or read variables.

It is also advantageous if the evaluation unit uses an algorithm for the evaluation which, in addition to the data stored in a data memory, takes into account those data which have been communicated to the system by input. It is advantageous if, in the configuration of the power quantities of the system components, at least the power quantities of the energy-generating and energy-storing system components are determined.

In a further preferred embodiment of the invention, it is provided that the efficiency value represents a value which represents the ratio of total costs for creating and / or operating the power distribution and supply system to an economic value corresponding to the power taken out of the system by calculation. Thus, an optimized efficiency value z. B. 2, which would mean in the aforementioned example that it would be possible with optimal system design with respect to the planned removal double costs expected. With another less favorable system design, this value would then be higher.

Further advantageous is an embodiment in which at least one of the energy-generating system components represents a network connection to a public power grid, designed for feeding and for the removal of electrical energy with a variable or fixed network connection power. In this system size, it plays a role in particular, which costs are to be considered for a particular grid connection performance. Since, in general, the fee for grid feed-in is lower than, conversely, the cost of energy removal from the grid, a low grid connection power tends to be more desirable. Depending on the system components, it may also be the case that a simulation determines an optimum where a grid connection can be completely eliminated, since a completely self-sufficient power supply is possible due to a different system configuration.

In a further advantageous embodiment, it is provided that data relating to the geographical location, the geographical orientation and the absolute position at the location are taken into account as a variable (VAR).

Particularly advantageous is a solution in which a respectively defined (but flexible) number n of energy generating devices for generating electrical energy of a certain amount of energy, a number k of charging columns for feeding and for the removal of energy to or from an electric vehicle, a number i of electrical consumers with a rated power as a component of the energy distribution and supply system to be designed.

It is further advantageously provided that one, several or all of the following fixed or time-varying parameters are taken into account in the design of the power distribution and supply system: the cost of the system components, a predetermined number of energy consuming system components, statistical weather data, geodata , Electricity costs related to electrical energy from a connected public grid, feed-in tariff, storage capacity of energy-storing system components and a time course of an assumed removal of electrical energy by each of the energy-consuming system components.

It is also advantageous if one or iteratively several or a plurality of steps in the optimization of the efficiency value of the power distribution and supply system on the basis of a simulation model with a specific configuration of system components and the simulation model respectively the power distribution and supply system with the resulting System components simulated.

Other advantageous developments of the invention are characterized in the subclaims or are shown in more detail below together with the description of the preferred embodiment of the invention with reference to FIGS.

• 1 eine beispielhafte Darstellung eines Energieverteiler-und Versorgungssystems;
• 2 eine vereinfachte schematische Darstellung zur Erläuterung der Ermittlung eines Optimums eines Energieverteiler-und Versorgungssystems und
• 3 ein Simulationssystem gemäß der vorliegenden Erfindung.

Show it:

• 1 an exemplary representation of a power distribution and supply system;
• 2 a simplified schematic representation for explaining the determination of an optimum of a power distribution and supply system and
• 3 a simulation system according to the present invention.

Hereinafter, the invention with reference to the 1 to 3 explained in more detail, wherein like reference numerals refer to the same structural and / or functional features.

In the 1 is an exemplary representation of a power distribution and supply system 10 shown. The power distribution and supply system 10 consisting of a large number of energy-generating, energy-storing and energy-consuming system components SYSi. The arrows on the connecting lines show the possible energy flow. So z. B. from the energy-producing system components EN (eg a PV system or a fuel cell) electrical energy via the central control 20 to different consumers vi reach. The controller can make the energy flow according to a system-specific prioritization. The battery B1 as exclusively energy-storing system components SYSI allowed z. B. a bi-directional energy flow when charging in the direction of the battery and when unloading from the battery out to a consumer or in the network to generate a feed rate at z. Variable electricity tariff as a variable VAR of the public network. Further examples are two charging stations LK with a charging capacity of 350 kW each with coupled electric vehicles F shown, each containing a battery B2 respectively. B3 is installed. As soon as the vehicle F in its coupling position with the charging station LK is located, electrical energy can be charged, but also excess (not needed) energy in z. B. the battery B1 be stored or electricity in the public network via the grid connection N are fed, if it makes sense in the macroeconomic perspective. Alternatively, z. B. also electrical energy from the battery B2 of a vehicle F in the battery B3 of the other vehicle F be transferred directly via a charging station management.

To such a system starting from certain performance parameters of the system components SYSI and be able to operate the consumers economically, but it is initially required in a design process, such a system with the simulation system according to the invention 1 , like in the 3 represented, interpreted and configured.

For this purpose, the simulation system 1 medium MA for selecting at least the power consuming system components SYSi (represented by the arrows pointing away). Here, in a first evaluation step, two charging stations, consumers, were created vi with a withdrawal capacity of 250 kW, a buffer tank P , a PV system and a grid connection N initially leaving open the question of how the system as a whole is designed with regard to the power in kW and other variables.

After taking into account the inputs of the variables, such. B. location, geodata, feed-in tariff per kW, electricity costs per KW, costs for buffer storage per KW, etc ... determines the means MB the determination of the dimensional and physical performance parameters of the required system components SYSi for the power distribution and supply system 10 depending on the selection made of the selection of system components made so far.

The evaluation unit A is designed to optimize the system configuration on the basis of a selected efficiency value Eff according to a systemic, preferably iterative comparison (more preferably with the aid of a multi-stage algorithm).

By means of a data model and a simulation model, corresponding system points in the multidimensional space are determined for the efficiency value "minimum total costs", such as the formation of a gradient with consideration of the environmental space or with the solution via a Hessematrix or alternative extreme value determination methods, such as the gradient descent method or similar Procedure based on the following principle:

wird ein Umgebungsraum definiert. Hierzu verwendet man die Nachbarschaftsfunktion N(Eff), die jedem Punkt die Menge seiner Nachbarn zuordnet, somit N: D → P (D) mit der Potenzmenge P.For the searched extrema of the function $$\text{eff}:\text{D}\to \text{R}$$

an environment space is defined. For this one uses the neighborhood function N (Eff), which assigns to every point the set of its neighbors, thus N: D → P (D) with the power set P.

The efficiency value Eff has then an extremum or maximum where f _{0 is} a point from the set D and $$\text{eff}\left(\text{f}\right)\le \text{eff}\left({\text{f}}_0\right)\text{for all neighbors f}\in \text{N}\left({\text{f}}_0\right),$$

ist dort an einem Maximum für die beiden Variablen Var1, Var 2, wo alle Nachbarn aus der Menge der Nachbarschaftsfunktion mit der o.g. Bedingung. Erfindungsgemäß kann dabei vorgesehen sein, dass nicht das absolute Optimum bzw. Maximum ermittelt wird, sondern ein um Umgebungsraum um diesen Punkt, um einen zulässigen Optimierungsbereich (Soll-Optimierungsbereich) zu definieren.This is exemplified in the 2 directed. The efficiency value $$\text{eff}=\text{eff}\left(\text{<figure-callout id="1" label="Var" filenames="DE102018110630A1\_0005.png,DE102018110630A1\_0006.png" state="{{state}}">Var</figure-callout> 1}\text{, Var 2}\right)$$

is there at a maximum for the two variables var1 . Var 2 where all neighbors from the set of neighborhood function with the above condition. According to the invention, it may be provided that it is not the absolute optimum or maximum that is determined but an ambient space around this point in order to define a permissible optimization range (desired optimization range).

The data space is a discrete or continuous spectrum of variable characteristics (also referred to as map), wherein the characteristics change depending on the variables. So z. For example, the variable: feed-in tariff defines as a function EV = EV (t, kW) a time-dependent function or variable depending on the feed-in power (eg 200 kW). In a similar way, it behaves with the other variables. So z. For example, the energy yield of the PV plant is a function of several factors such as location, weather data, orientation of the PV modules, shading factor, etc.

In the present embodiment, the central control is also 20 in the simulation system 1 simulated, so that an overall system simulation with the energy-generating, energy-storing and energy-consuming system components (SYSi) takes place.

In the simulation model, the multidimensional data model for the individual variables becomes the corresponding dimensioning of the system components SYSI determined so that can be determined by means of the simulation system in which these system components are simulated successively in the iterative optimization process by changing the respective variables in the neighborhood function space towards the respective local extremes in the result those system sizes for the individual system components SYSi for the efficiency value Eff has a maximum. This is exemplified in 3 represented by the lower part, which is optimized in this way only exemplary power distribution and supply system 10 represents. By means of an output unit can then be the system data and performance data of the determined individual system components SYSI spend and preferably visualize using a system simulation. So z. For example, it can be determined that the PV system with a capacity of 1500 KW, together with a grid connection of 500 KW and a buffer memory of 600 KW together with the performance data of the other above-mentioned system components SYSI an optimum for the geographic location, the consumer, the feed-in tariff, etc. that can be found.

The invention is not limited in its execution to the above-mentioned preferred embodiments. Rather, a number of variants is conceivable, which makes use of the illustrated solution even with fundamentally different types of use.

It can, for. For example, it may be provided that not only the utility company (Grid) in the system offer energy for payment (f (t, €)), but that the electric vehicles can offer their excess stored power. It would also be conceivable that in leasing vehicles, the car manufacturer will offer the electricity. That Either the driver or the manufacturer will be able to set an electricity price for the energy content of the energy in the vehicle memory and make this energy available against payment or set-off in the system.

In this way, a dynamic system can be provided, in which, depending on the specific supply and the demand for energy, the energy can be taken from the store at which the cheapest energy price at this time is provided. Alternatively, the control system can also be set so that when a certain condition (for example: energy price below or above a certain value) occurs in the system, a charging or discharging process starts or stops.

Functionally expressed, this means that in the function f (t, €) not only an energy supplier enters via the grid connection as a variable or as a parameter, but any other energy suppliers that are connected or connected to the system, in the function f (t , €, n1, ..., ni) are taken into account, wherein the parameters n1 to ni are representative of the variables.

Claims (16)

Simulation system (1) for the optimized design of a power distribution and supply system (10) comprising a plurality of energy-generating, energy-storing and energy-consuming system components (SYSi) in at least one efficiency value (Eff) of a physical or economic size, comprising a central controller (20), further comprising: a. Means for selecting at least the power consuming system components (SYSi); b. Means for determining the dimensional sizes and / or physical performance quantities of the required system components (SYSi) for the power distribution and supply system (10) depending on the selection of individual, multiple or all system components (SYSi) and / or Variables (VAR) according to their physical quantities, c. wherein an evaluation unit is provided, which is designed according to a systemic, preferably iterative comparison of an evaluated efficiency value (Eff) with stored in a data memory characteristic representing an efficiency value (Eff) of an energy distribution and supply system formed from these system components (10) the determination If necessary, the dimension sizes and / or the physical performance variables can be adapted such that the respective efficiency value (Eff) based thereon is in the range of a local or absolute maximum or minimum or in a defined desired environmental range thereof. System according to Claim 1 , characterized in that the characteristic value represents a value from a characteristic field or data space which comprises those characteristic curves or functions which in each case permit a permutation of the possible combination of respective system components (SYSi) respectively of different dimension sizes and / or physical performance variables and / or component-specific variables (SYSi). VAR). System (1) to Claim 1 or 2 characterized in that the means for selecting at least the energy consuming system components (SYSi) comprises a display and input device (40), the input device further comprising an input facility for entering variables (VAR) for at least the consumption values (P _LK , P _Vi , ..) of the energy consuming system components (SYSi) and operating parameters of system components (SYSi) provided for the power distribution and supply system (10). System (1) according to one of the preceding claims, characterized in that the means further comprise a data memory (30) having a plurality of stored functions and / or characteristic fields representing the functional dependency of the efficiency value (Eff) of the power distribution and supply system (10) the change of one system component (SYSi) with respect to the dimensioning of the other system components (SYSi). System (1) to Claim 4 , characterized in that the efficiency value (Eff) is a function of n variables, wherein an optimum of the efficiency value represents a local extremum of this function, preferably determined by the partial derivatives of the function. System (1) according to one of the preceding claims, characterized in that the evaluation unit for the system components (SYSi) each use simulation modules and / or simulation models which can be parameterized at least in their performance data. System (1) according to one of the preceding claims, characterized in that a specific configuration of system components (SYSi) and their electrical performance data and / or electrical storage capacity is determined from stored data of a data memory (30) and received variables (VAR). System (1) according to one of the preceding claims, characterized in that the evaluation unit uses an algorithm for the evaluation, which takes into account not only the data stored in a data memory but also the data that has been communicated to the system by input. System after Claim 7 or 8th , characterized in that in the configuration of the power quantities of the system components (SYSi) at least the power quantities of the energy-generating and energy-storing system components (SYSi) are determined. A system according to any one of the preceding claims, characterized in that the efficiency value (Eff) represents a value which calculates the ratio of total costs for creating and / or operating the power distribution and supply system (10) to an economic value corresponding to that of the system represents taken power. System according to one of the preceding claims, characterized in that at least one of the power-generating system components (SYSi) represents a grid connection to a public power grid, designed for feeding and for the removal of electrical energy with a variable or fixed grid connection power. System according to one of the preceding claims, characterized in that as a variable (VAR) data regarding the geographical location, the geographical orientation and the absolute position at the location are taken into account. System according to one of the preceding claims, characterized in that a respective defined number n of energy generating devices (En) for generating electrical energy of a certain amount (P _EN ), a number k of charging columns (Lk) for feeding and for the removal of energy (P _LK ) to or from an electric vehicle, a number i of electrical loads (Vi) with a rated power of (P _Vi ) are to be considered as part of the auszubegenden energy distribution and supply system. System according to one of the preceding claims, characterized in that as a variable (VAR) one, several or all of the following fixed or time-varying parameters are taken into account in the design of the power distribution and supply system: the cost of the system components (SYSi), a predetermined one Number of energy-consuming system components (SY-Si), statistical weather data, geodata, electricity costs related to electrical energy from a connected public grid, feed-in tariff, storage capacity of the energy-storing system components (SYSi) and a time course of an assumed withdrawal of electrical energy by the respective energy-consuming system components ( SYSI). System (1) according to one of the preceding claims, characterized in that one or iteratively several or a plurality of steps in the optimization of the efficiency value (Eff) of the power distribution and supply system (10) based on a simulation model with a specific configuration of system components ( SYSi) takes place and the simulation model respectively simulates the energy distributor and supply system (10) with the system components (SYSi) formed therefrom. System (1) according to one of the preceding claims, characterized in that for individual or all energy-generating and energy-storing or energy-providing system components (SYSi) fixed parameters or changing variables, depending on also determinable conditions, are stored in the system, and some or all these parameters or variables in the evaluation unit are processed or taken into account in the simulation in the simulation model.

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