CN117767260A - Micro-grid power and electricity demand and adjustable capacity assessment method considering robustness - Google Patents
Micro-grid power and electricity demand and adjustable capacity assessment method considering robustness Download PDFInfo
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Abstract
The invention discloses a micro-grid power and electricity demand and adjustable capacity assessment method considering robustness, aiming at a micro-grid, combining an energy consumption scene with a micro-grid equipment configuration scheme, solving and obtaining a power demand robust interval, wherein the demand interval realizes maximization of adjustable capacity and random adjustment of power in the interval, and the micro-grid can provide flexible adjustment resources for the grid on the basis of meeting self energy supply, thereby being beneficial to optimal scheduling and distribution of a superior power system and improving the reliability and flexibility of regional power supply. Meanwhile, quantitative analysis of alignment characteristics of the micro-grid and construction of an equivalent model can be realized.
Description
Technical Field
The invention relates to the technical field of micro-grids, in particular to a micro-grid power and electricity demand and adjustable capacity assessment method considering robustness.
Background
The improvement of the bottom local self-balancing capacity of the power system is an important approach for relieving the power supply pressure in the future, wherein the micro-grid can provide flexible adjustment resources for the power grid on the basis of meeting the self power supply by polymerizing distributed resources such as wind power, photovoltaic, load, energy storage and the like, and is an important means for improving the self-balancing capacity of the local power grid.
The research on the adjustable capacity is valuable not only for the micro-grid itself, but also for the distribution network. By more intuitively and specifically evaluating the tunable capability of the micro-grid, the power distribution network can learn about the power and electricity requirements and the adjustment interval of the micro-grid.
The significance of the flexible adjustment capability research at the present stage is mainly focused on the following four points: (1) the adjustable capacity of the system is researched, the upper boundary and the lower boundary of the energy demand interval are solved, and the power supply and air supply capacity required by an access point of an energy station can be determined so as to guide the reliable planning of the power distribution network. (2) The energy supply system can be guided to select a period with less energy requirement to execute the maintenance plan, and the minimum external required electric quantity is ensured to ensure the production and life energy requirement in the maintenance process. (3) And (3) selecting a reasonable adjustable capacity interval to guide the energy stations to participate in demand response by evaluating the adjustable capacity of the micro-grid under different energy prices or subsidy policies. (4) And the adjustable capacity under different operation strategies is evaluated, so that the micro-grid can select the operation strategy with the largest adjustable interval under the constraint of operation cost, and the flexibility and the reliability of the system are ensured to the greatest extent.
On the premise of meeting the self terminal load demand, the response capability of the micro-grid to the excitation measures of the energy supply network is represented as an energy demand fluctuation interval of the micro-grid to the energy supply network, and the energy demand of the micro-grid is not a constant value due to the complex coupling relation among various energy sources in the micro-grid, so that the adjustable capability of the micro-grid to the energy demand of the energy supply network is an interval.
The evaluation of the adjustable capacity can be understood as taking the micro-grid as a novel comprehensive load with demand response potential, and researching the overall energy demand from the perspective of a power distribution network.
In the prior art, the demand condition of external energy sources is analyzed from the perspective of a micro-grid, namely, the electric power and electricity demand interval of an operation strategy under a specific target is solved; and from the perspective of the distribution network, analyzing the power demand characteristics of all feasible strategies of the micro-grid under the corresponding load.
The research on the adjustable capacity of the power supply/storage equipment in the existing micro-grid is not combined with the idea of robust optimization in most cases, and the maximum adjustable capacity of the power supply/storage equipment can be estimated under the 'least adverse condition'.
The upper and lower boundaries of the demand interval in the existing power demand interval assessment model are in a decoupling state, any strategy in the solved interval can not be guaranteed, the acquisition of the maximum boundary of the power demand interval is focused, and the reliability of the power demand interval on the guidance of the power distribution network is ignored.
Disclosure of Invention
In order to solve at least one problem in the background art, the invention provides a method for evaluating the electric power and electric quantity requirements and adjustable capacity of a micro-grid by considering robustness, which is used for evaluating the adjustable capacity of the micro-grid, providing a robust interval of the electric power requirement with the maximum adjustable capacity under a corresponding load scene, constructing an equivalent model, and carrying out quantitative analysis for supporting flexible adjustment and optimal scheduling of a superior electric power system.
According to one aspect of the present invention, there is provided a method for evaluating electric power and power demand and adjustable capacity of a micro grid in consideration of robustness, including:
establishing a micro-grid model, wherein the micro-grid model comprises a micro-grid equipment model and a micro-grid supply-demand balance model;
based on a micro-grid model, analyzing an influence mechanism of power supply/storage equipment on a power demand interval;
establishing a power demand adjustable capacity evaluation model of the micro-grid based on an influence mechanism;
determining an external power demand interval based on the power demand adjustable capability assessment model;
and analyzing the balance capacity of the micro-grid participating in the electric power and the electric quantity according to the electric power demand interval, and constructing a micro-grid equivalent model.
Optionally, the establishing the micro-grid model includes:
establishing a micro-grid equipment model;
and establishing a micro-grid supply-demand balance model.
Optionally, the analyzing, based on the micro-grid model, an influence mechanism of the power supply/storage device on the power demand interval includes:
based on a micro-grid model, analyzing an influence mechanism of energy supply equipment on an energy demand interval;
based on the micro-grid model, an influence mechanism of the energy storage device on the energy demand interval is analyzed.
Optionally, the establishing the power demand adjustable capability assessment model of the micro-grid based on the influence mechanism includes:
determining upper and lower boundaries of a power demand interval of the micro-grid based on an influence mechanism;
determining an objective function of the power demand of the microgrid based on the impact mechanism;
determining a constraint condition of the power demand of the micro-grid based on the impact mechanism;
and establishing a power demand adjustable capacity assessment model of the micro-grid based on the upper and lower boundaries, the objective function and the constraint condition.
Optionally, the analyzing the balancing capability of the micro-grid to participate in the electric power and the electric quantity according to the electric power demand interval, and constructing the micro-grid equivalent model includes:
according to the power demand interval, respectively counting various indexes of the power demand interval, wherein the various indexes comprise the maximum value, the minimum value, the upper boundary minimum value, the lower boundary maximum value, the maximum power consumption, the minimum power consumption and the maximum peak regulation capacity of the power demand interval;
according to various indexes of statistics, analyzing the balance capacity of the micro-grid in the electric power and the electric quantity;
and constructing a micro-grid equivalent model of the micro-grid participating in the electric power and electric quantity balance capability according to the counted indexes and the analyzed balance capability.
Optionally, the micro-grid equivalent model includes an equivalent load model, an equivalent power model, and an equivalent energy storage model.
According to still another aspect of the present invention, there is provided a micro grid power demand and adjustability assessment device considering robustness, comprising:
the first building module is used for building a micro-grid model, wherein the micro-grid model comprises a micro-grid equipment model and a micro-grid supply-demand balance model;
the first analysis module is used for analyzing an influence mechanism of the power supply/storage equipment on the power demand interval based on the micro-grid model;
the second establishing module is used for establishing a power demand adjustable capacity evaluation model of the micro-grid based on an influence mechanism;
the determining module is used for determining an external power demand interval based on the power demand adjustable capacity evaluation model;
and the second analysis module is used for analyzing the balance capacity of the micro-grid participating in the electric power and the electric quantity according to the electric power demand interval and constructing a micro-grid equivalent model.
Optionally, the first establishing module is specifically configured to:
establishing a micro-grid equipment model;
and establishing a micro-grid supply-demand balance model.
According to a further aspect of the present invention there is provided a computer readable storage medium storing a computer program for performing the method according to any one of the above aspects of the present invention.
According to still another aspect of the present invention, there is provided an electronic device including: a processor; a memory for storing the processor-executable instructions; the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method according to any of the above aspects of the present invention.
Aiming at a certain micro-grid, the invention combines an energy consumption scene with a micro-grid equipment configuration scheme, can solve and obtain a power demand robust interval, the demand interval realizes the maximization of the adjustable capacity and the random adjustment of the power in the interval, and the micro-grid can provide flexible adjustment resources for the grid on the basis of meeting the self energy supply, thereby being beneficial to the optimal dispatching and distribution of a superior power system and improving the reliability and the flexibility of regional power supply. Meanwhile, quantitative analysis of alignment characteristics of the micro-grid and construction of an equivalent model can be realized.
Drawings
Exemplary embodiments of the present invention may be more completely understood in consideration of the following drawings:
FIG. 1 is a flow chart of a method for evaluating the power and power requirements and the adjustability of a micro grid with robustness in view of an exemplary embodiment of the present invention;
FIG. 2 is a schematic diagram of a micro-grid energy flow topology provided by an exemplary embodiment of the present invention;
FIG. 3 is a graph of a cold/hot/electrical multipotency load profile provided by an exemplary embodiment of the present invention;
FIG. 4 is a flowchart of a method for evaluating robustness-considered micro-grid power demand adjustability in accordance with an exemplary embodiment of the present invention;
FIG. 5 is a schematic diagram of an external power demand interval of a micro grid provided by an exemplary embodiment of the present invention;
FIG. 6 is a schematic diagram of a robustness-considered micro-grid power and capacity demand and adjustability assessment device according to an exemplary embodiment of the present invention;
fig. 7 is a structure of an electronic device provided in an exemplary embodiment of the present invention.
Detailed Description
Hereinafter, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present invention and not all embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise.
Fig. 1 shows a schematic flow chart of a method for evaluating electric power and electric power requirements and adjustable capacity of a micro-grid in consideration of robustness. As shown in fig. 1, the method for evaluating the electric power and power requirements and the adjustable capability of the micro-grid considering the robustness includes:
step S1: establishing a micro-grid model, wherein the micro-grid model comprises a micro-grid equipment model and a micro-grid supply-demand balance model;
step S2: based on a micro-grid model, analyzing an influence mechanism of power supply/storage equipment on a power demand interval;
step S3: establishing a power demand adjustable capacity evaluation model of the micro-grid based on an influence mechanism;
step S4: determining an external power demand interval based on the power demand adjustable capability assessment model;
step S5: and analyzing the balance capacity of the micro-grid participating in the electric power and the electric quantity according to the electric power demand interval, and constructing a micro-grid equivalent model.
Optionally, the establishing the micro-grid model includes: establishing a micro-grid equipment model; and establishing a micro-grid supply-demand balance model.
In the embodiment of the invention, the steps for establishing the micro-grid equipment model are as follows:
the energy supply devices in the micro-grid can be classified into: the gas triple co-generation system comprises gas power generation equipment, waste heat cooling equipment and waste heat heating equipment, electric refrigeration equipment, gas refrigeration equipment, electric heating equipment and gas heating equipment. The above devices are modeled linearly, and each device needs to consider the following constraints:
device output range constraint
Device energy conversion constraints
Device power hill climb/landslide constraint
|P i (t)-P i (t-1)|≤ΔP i
Equipment start-stop time constraints
Wherein P is i max 、P i min The upper limit and the lower limit of the output power of the ith equipment are respectively set; p (P) i (t)、U i (t) respectively outputting power and start-stop control states (1 is started and 0 is stopped) at the moment of t of the ith equipment; η (eta) i The energy conversion efficiency of the ith equipment; ΔP i Climbing/landslide rate for the ith device; t (T) i ON 、T i OFF The minimum start-up and stop time of the ith equipment are respectively.
The energy storage devices in the micro-grid are classified into: the energy storage system and the heat storage system are required to be modeled by considering the charge and discharge energy and the storage capacity at the same time, and have a time sequence coupling relation. The energy storage system needs to consider the following constraints:
constraint of charge-discharge energy power range
Energy charging and discharging state constraint
U IS,ch (t)+U IS,di (t)≤1
Capacity state constraints
Wherein P is IS,ch (t)、P IS,di (t) respectively charging and discharging energy for the ith energy storage equipment at the moment t; u (U) IS,ch (t)、U IS,di (t) respectively controlling the charging and discharging states of the ith energy storage equipment at the moment t; η (eta) IS,ch 、η IS,di Respectively charging and discharging energy efficiency of the i-th energy storage equipment; v (V) IS (t) is the i-th type energy storage device capacity at time t; v (V) IS rated Rated capacity for class i energy storage devices; SOC (State of Charge) IS max 、SOC IS min The upper limit and the lower limit of the charge state of the i-th type energy storage equipment are respectively set.
In the embodiment of the invention, the establishment steps of the micro-grid supply-demand balance model are as follows:
the micro-grid energy flow topology is as in fig. 2. The energy flow distribution of various devices to the upstream and downstream has two relations of compliance and parallel (complementation), and the parallel relation can be subdivided into two parallel forms of upstream parallel and downstream parallel.
The following relationship takes heat exchanger equipment as an example: the high-temperature flue gas output by the triple co-generation system is firstly converted into steam or high-temperature hot water through the waste heat boiler, and then is converted into heating hot water through the heat exchanger for heat supply, and the heat is transferred between the waste heat boiler and the heat exchanger in a following way.
Upstream side by side takes the heating process as an example: under the condition of a given heat load, the heat supply of the electric heating, gas heating and gas triple supply equipment has a parallel complementary relationship of 'gas triple supply equipment heat supply power + electric heating equipment heat supply power + gas heating equipment heat supply power = heat load'.
The downstream parallel external fuel gas distribution process is exemplified by: under the condition of the given external natural gas supply quantity, the demand quantity of the gas triple co-generation equipment, the gas heating equipment and the gas refrigerating equipment for the natural gas has a parallel complementary relationship of 'micro-grid gas consumption power=gas triple co-generation equipment gas consumption power+gas heating equipment gas consumption power+gas refrigerating equipment gas consumption power'.
The energy flow relation among the devices can be uniformly expressed through balance constraint of electricity, heat, cold and waste heat supply and demand, and the energy flow relation inside the devices is expressed through constraint of the output range and the energy conversion relation of the devices.
Wherein P is grid (t)、P g-e (t)、P e-h (t)、P e-c (t)、P es,ch (t)、P es,di (t) respectively obtaining external power input power, gas power generation equipment output electric power, electric heating equipment power consumption, electric refrigeration equipment power consumption and electric storage equipment charging and discharging power at the moment t; h hr-h (t)、H g-h (t)、H e-h (t)、H hs,ch (t)、H hs,di (t) is the waste heat heating power and the gas heating equipment of the triple co-generation system at the moment t respectivelyThe heat storage device is used for storing heat and storing heat; c (C) hr-c (t)、C g-c (t)、C e-c (t) the waste heat refrigeration power of the triple co-generation system at the moment t, the cold power output by the gas refrigeration equipment and the cold power output by the electric refrigeration equipment are respectively; HR (HR) g-hr (t)、HR hr-h (t)、HR hr-c And (t) outputting waste heat power for the triple co-generation system at the moment t, wherein the waste heat heating equipment consumes the waste heat power, and the waste heat refrigerating equipment consumes the waste heat power.
Optionally, the analyzing, based on the micro-grid model, an influence mechanism of the power supply/storage device on the power demand interval includes: based on a micro-grid model, analyzing an influence mechanism of energy supply equipment on an energy demand interval; based on the micro-grid model, an influence mechanism of the energy storage device on the energy demand interval is analyzed.
In the embodiment of the invention, the detailed steps of the influence mechanism of the energy supply equipment on the energy demand interval are analyzed as follows:
the ability of the energy supply device to adjust the energy demand interval is dependent on the device parameters and the device operating state at the previous time. Taking an electric refrigeration device as an example, when the refrigeration power output by the device is increased, the corresponding power demand is increased, and the electric refrigeration device has the capability of adjusting the power demand interval upwards; when the refrigeration power output by the electric refrigeration equipment is reduced, the corresponding electric power demand is also reduced, and the electric refrigeration equipment has the downward regulation capability for the electric power demand interval. The energy supply equipment is restricted by the output power range, the climbing/landslide speed and the start-stop state simultaneously to the regulation capability of the demand interval:
wherein P is i up (t)、P i down (t) up-and-down regulation of energy demand of ith equipment at t moment respectivelyCapability.
In the embodiment of the invention, the detailed steps of the influence mechanism of the energy storage equipment on the energy demand interval are analyzed as follows:
the ability of the energy storage device to adjust the energy demand interval is related to the energy storage charge-discharge power and the energy storage pool capacity state. Taking an electricity storage system as an example, the charging state of the electricity storage system has the capability of being up-regulated for the electricity demand interval, and the discharging state has the capability of being down-regulated for the electricity demand interval.
The power storage system receives power from outside (power demand interval is up-regulated) and stores the power into the battery in a charged state, the battery power is continuously increased until the power is full, and when SOC (t) =SOC max At this time, the power storage system cannot perform the charging operation again, and the power storage system loses the up-regulation capability for the power demand interval. The discharging state of the electricity storage system is consistent with the principle, and the discharging is used for regulating the electricity demand interval downwards until the electric quantity in the battery reaches the SOC min The power storage system loses the ability to down regulate the energy demand interval.
The charging operation not only has the upward regulation capability to the energy interval, but also supplements the downward regulation capability of the electricity storage system; the discharging operation is the same, and the up-regulating capacity of the power storage system is supplemented while the down-regulating capacity is provided; therefore, the energy storage system can be operated in a circulating charging and discharging mode, and the energy storage can be continuously adjusted to the energy demand. The evaluation model built by the patent considers the robustness of the equipment adjustable capacity, namely, the maximum adjustment capacity of the equipment to the demand interval under the 'most unfavorable scene' is researched. For energy storage systems, the "most adverse scenario" is that the energy storage system continuously adjusts up/down the demand interval and does not supplement the adjustment capability.
Thus, the energy storage system modifies the mathematical expression of the tunable capacity of the energy demand interval as follows:
SOC min ·V rated ≤V initial ≤SOC max ·V rated
optionally, the establishing the power demand adjustable capability assessment model of the micro-grid based on the influence mechanism includes: determining upper and lower boundaries of a power demand interval of the micro-grid based on an influence mechanism; determining an objective function of the power demand of the microgrid based on the impact mechanism; determining a constraint condition of the power demand of the micro-grid based on the impact mechanism; and establishing a power demand adjustable capacity assessment model of the micro-grid based on the upper and lower boundaries, the objective function and the constraint condition.
In the embodiment of the invention, the energy demand interval at the current moment is needed to be estimated according to the energy demand interval range at the previous moment and the adjustable capacity of the equipment, and the energy demand interval at the current moment can be reached when the initial state is any point in the energy demand interval at the previous moment. By taking the idea of robust optimization as a reference, if the "worst scenario" can be determined, the constraint conditions can be satisfied for all possible situations, i.e. find the energy demand interval when the uncertainty N (the external power demand value at the last time) changes towards the worst scenario within the uncertainty set N (the external power demand interval at the last time). The upper and lower boundaries of the demand interval are as follows:
upper boundary of energy demand interval
min max y
n∈Ny∈Ω(n)
Lower boundary of energy demand interval
max min y
n∈Ny∈Ω(n)
Wherein n is the external power demand P at the previous time grid (t-1); n is the value range of the variable N; p (P) grid max (t-1)、P grid min (t-1) is the upper and lower bounds of the external power demand at time t-1, respectively; y is the external power demand P at time t grid (t), Ω (n) represents the feasible region of the optimization variable y given a set of n values.
When N is given, the solution of the energy demand interval is a linear problem, and according to literature [1] and combined with the strong dual theory, N corresponding to the optimal solution of the dual problem is an extreme point of the uncertainty set N, that is, the uncertainty variable N should be obtained on the boundary of the uncertainty set N. Therefore, for the upper/lower boundary of the power demand interval at the current moment, the lower/upper boundary of the power demand interval at the previous moment can be directly solved by combining the related constraints of equipment climbing speed, starting and stopping time and the like.
Assessing the tunability of a microgrid requires quantifying the fluctuation range of the microgrid for the upper level power demand. The micro-grid power demand adjustable capacity assessment model is established based on a micro-grid topological structure and by combining a cogeneration system model, a plurality of energy supply equipment models, an energy storage system model and a load demand model. The envelope curve outlined in the model is the upper-level power demand interval of the micro-grid, and the interval area can evaluate the adjustability of the micro-grid.
Evaluating the adjustable capacity of the micro-grid requires quantifying the fluctuation range of the micro-grid on the external energy demand, so that the maximization of the area of the required interval in the full prediction period is taken as a solving target, and the model objective function is as follows:
wherein P is E,up (t)、P E,down And (t) the external power purchase power of the strategy corresponding to the upper boundary and the lower boundary of the t moment respectively.
The constraint conditions are as follows:
considering that any strategy in the demand interval can be realized, the upper and lower boundaries of the demand interval are coupled by combining the thought of robust optimization and the strong dual theory (the upper/lower boundary at the moment t-1 determines the lower/upper boundary at the moment t), and the upper/lower boundaries are one of a plurality of demand strategies which can be executed in the interval. It is therefore necessary to construct constraints on both the independent and the mutual coupling states of the upper/lower boundaries.
The upper/lower boundary mutually independent constraints include:
supply and demand balance constraint:
equipment climbing/landslide constraint:
equipment start-up time constraint:
energy storage system constraints:
the upper/lower boundary coupling constraints include:
climbing/landslide constraint:
start-stop time constraint:
in the formula, the subscripts up and dowm respectively correspond to the operation strategies corresponding to the upper/lower boundaries. The physical meaning of the rest parameters is not different from the previous steps.
The related objective function and constraint conditions of the invention belong to Mixed Integer Linear Programming (MILP) problems, and the external power demand region can be obtained after the demand region is solved by a solver (a cplex, a gurobi and other solvers) supporting the MILP problem.
Optionally, the analyzing the balancing capability of the micro-grid to participate in the electric power and the electric quantity according to the electric power demand interval, and constructing the micro-grid equivalent model includes: according to the power demand interval, respectively counting various indexes of the power demand interval, wherein the various indexes comprise the maximum value, the minimum value, the upper boundary minimum value, the lower boundary maximum value, the maximum power consumption, the minimum power consumption and the maximum peak regulation capacity of the power demand interval; according to various indexes of statistics, analyzing the balance capacity of the micro-grid in the electric power and the electric quantity; and constructing a micro-grid equivalent model of the micro-grid participating in the electric power and electric quantity balance capability according to the counted indexes and the analyzed balance capability.
Optionally, the micro-grid equivalent model includes an equivalent load model, an equivalent power model, and an equivalent energy storage model.
(1) In the embodiment of the invention, according to the power demand area solved in the step four, indexes such as the maximum value, the minimum value, the upper boundary minimum value, the lower boundary maximum value, the maximum power consumption, the minimum power consumption, the maximum peak shaving capacity and the like of the demand area are respectively counted;
if the area solved in the fourth step is D TP Wherein T is the period of robust calculation, and P is the period of scenePolicy set, D TP And (t) is an external power demand interval of the micro-grid at the moment t.
Wherein UP (t), DN (t), UP max 、UP min 、DN max 、DN min The upper boundary, the lower boundary, the upper boundary maximum, the upper boundary minimum, the lower boundary maximum and the lower boundary maximum of the demand area respectively.
Wherein E is max 、E min The maximum electric quantity and the minimum electric quantity required by the micro-grid outside are obtained.
DP＝UP max -DN min
Wherein DP is the maximum peak shaving capacity.
(2) Analyzing the capacity of the micro-grid to participate in electric power and electric quantity balance according to the statistical indexes;
1) Power balance capability analysis
The power balance capacity index comprises a maximum load and a minimum load, if the lower boundary maximum value is a negative value, the micro-grid can be externally used as a power supply, and the minimum power support capacity is |DN min |。
2) Peak shaving balance capability analysis
The peak shaving balance index mainly comprises maximum peak shaving capacity DP, maximum peak shaving capacity, demand response capacity and the like.
3) Power balance capability analysis
The electric quantity balance index mainly comprises maximum electric quantity and minimum electric quantity which are required externally.
(3) And constructing an equivalent model of the micro-grid participating in the power and electricity balance capacity according to the statistical indexes.
1) Equivalent load model
If DN min > =0, the external characteristics of the micro-grid can be equalThe effect is load, the peak value of load is (DNmin-UPmax), the electric quantity of load is (Emin-Emax), and the curve set of the external power is the required area.
2) Equivalent power model
If DN min < 0 and DN max <0, the external characteristics of the micro-grid can be equivalently regarded as a power model, and the guaranteed output of the power supply is |DN min I, maximum force is i DN min | a. The invention relates to a method for producing a fibre-reinforced plastic composite. The electric quantity of the power supply is (0-E) ES ) The power output curve is a curve set of the micro-grid with an external power curve in a demand negative region.
Where e (t) is the decision function.
3) Equivalent energy storage model
If DN min < 0 and DNmax>=0, the external characteristic of the micro-grid can be equivalently regarded as a power supply model, the maximum charging power of the equivalent energy storage system is UPmax, and the minimum charging power is DNmin; maximum discharge amount isMaximum charge amount E EC The method comprises the steps of carrying out a first treatment on the surface of the The equivalent energy storage external curve is a curve set with positive and negative values.
The invention provides a method for evaluating the adjustable capacity of a micro-grid based on the idea of robust optimization. The method is valuable for the micro-grid, and has important guiding significance for downward power distribution scheduling of a superior power supply system. The implementation case of the method finally provides a determined power demand interval, so that the adjustability of the micro-grid is maximum and any strategy in the interval can be realized.
In this embodiment, the integrated energy device includes related devices such as a gas turbine, a flue gas absorption refrigerator, a waste heat boiler, an electric refrigerator, electricity storage, heat storage and the like, the topological structure of the micro-grid is shown in fig. 1, and configuration parameters of the related devices are shown in the following tables 1 and 2.
TABLE 1
TABLE 2
The cold/hot/electric multipotency load characteristic is shown in fig. 3.
As shown in fig. 4, the solving step is as described above, firstly, an equipment model is built for a micro-grid comprising equipment such as a gas turbine, a flue gas absorption refrigerator, a waste heat boiler and the like, and a micro-grid supply-demand balance model is built by combining multiple loads; secondly, establishing a comprehensive energy power demand adjustable capacity assessment model considering robust optimization; solving an external power demand interval of the comprehensive energy by an optimization method; and obtaining an external power demand interval of the micro-grid.
Two scenes (the first scene is not added with energy storage equipment and the second scene is added with energy storage equipment) are respectively established, and the external power demand interval is solved, wherein the solving period is 24h, and the solving step length is 1h. The result of the solution is shown in fig. 5.
And further analyzing the capacity of the micro-grid to participate in electric power and electric quantity balance under different scenes according to the records. The micro-grids in the first scene and the second scene can be equivalent to loads, the peak value of the loads is (DNmin-UPmax), the electric quantity of the loads is (Emin-Emax), and the external power curve is a curve set of a demand area.
The invention provides a micro-grid power demand adjustable capacity assessment method considering robustness. The energy supply equipment adjustable capacity and the energy storage system adjustable capacity of the energy demand interval under the most unfavorable scene are analyzed; and solving the energy demand robust interval by combining the thought of robust optimization and taking the maximum adjustable capacity of the micro-grid as a target. The evaluation model can provide a group of power demand intervals with the maximum adjustable capacity for the upper power system, and any strategy in the intervals can be realized.
The protection points of the invention are as follows:
(1) And analyzing the adjustable capability of various devices in the micro-grid. And particularly, the adjustable capacity of the energy storage system is analyzed in detail, and the maximum adjustable capacity of the energy storage system which can be exerted in the least adverse scene is deduced.
(2) And the upper and lower boundaries of the external power demand interval are coupled by combining the idea of robust optimization, and the capability of the micro-grid to adjust the external power is evaluated, so that any strategy in the external power demand interval can be realized.
(3) And (3) quantifying the adjustable capacity of the micro-grid to the upper power system by taking the maximum area of the envelope surface of the external power demand interval as a target, and combining the point (2) to provide a solving model of the micro-grid power demand robust interval in the full prediction period.
(4) By constructing typical evaluation indexes of external demand characteristics of the micro-grid, an equivalent model of the micro-grid participating in electric power and electric quantity balance is constructed, and the capacity of the micro-grid participating in electric power and electric quantity balance is quantized.
In summary, the technical scheme of the invention aims at a certain micro-grid, combines the energy consumption scene with the micro-grid equipment configuration scheme, can solve and obtain a power demand robust interval, the demand interval realizes the maximization of the adjustable capacity and the random adjustment of the power in the interval, and the micro-grid can provide flexible adjustment resources for the power grid on the basis of meeting the self energy supply, thereby being beneficial to the optimal scheduling distribution of a superior power system and improving the reliability and the flexibility of regional power supply. Meanwhile, quantitative analysis of alignment characteristics of the micro-grid and construction of an equivalent model can be realized.
Exemplary apparatus
Fig. 6 is a schematic structural diagram of a robustness-considered micro-grid power and capacity demand and adjustability assessment device according to an exemplary embodiment of the present invention. As shown in fig. 6, the apparatus 600 includes:
a first building module 610, configured to build a micro-grid model, where the micro-grid model includes a micro-grid device model and a micro-grid supply-demand balance model;
a first analysis module 620, configured to analyze an impact mechanism of the power supply/storage device on the power demand interval based on the micro-grid model;
a second establishing module 630, configured to establish a power demand adjustable capability assessment model of the micro grid based on the impact mechanism;
a determining module 640 for determining an external power demand interval based on the power demand tunable capability assessment model;
the second analysis module 650 is configured to analyze the balance capability of the micro-grid in the electric power and the electric quantity according to the electric power demand interval, and construct a micro-grid equivalent model.
Optionally, the first establishing module 610 is specifically configured to:
establishing a micro-grid equipment model;
and establishing a micro-grid supply-demand balance model.
The robustness-considered micro-grid power and power demand and adjustable capacity assessment device in the embodiment of the present invention corresponds to the robustness-considered micro-grid power and power demand and adjustable capacity assessment method in another embodiment of the present invention, and is not described herein.
Exemplary electronic device
Fig. 7 is a structure of an electronic device provided in an exemplary embodiment of the present invention. As shown in fig. 7, the electronic device 70 includes one or more processors 71 and memory 72.
The processor 71 may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.
Memory 72 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions may be stored on the computer readable storage medium that can be executed by the processor 71 to implement the method of information mining historical change records and/or other desired functions of the software program of the various embodiments of the present invention described above. In one example, the electronic device may further include: an input device 73 and an output device 74, which are interconnected by a bus system and/or other forms of connection mechanisms (not shown).
In addition, the input device 73 may also include, for example, a keyboard, a mouse, and the like.
The output device 74 can output various information to the outside. The output device 74 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, among others.
Of course, only some of the components of the electronic device relevant to the present invention are shown in fig. 7 for simplicity, components such as buses, input/output interfaces, etc. being omitted. In addition, the electronic device may include any other suitable components depending on the particular application.
Exemplary computer program product and computer readable storage Medium
In addition to the methods and apparatus described above, embodiments of the invention may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform steps in a method according to various embodiments of the invention described in the "exemplary methods" section of this specification.
The computer program product may write program code for performing operations of embodiments of the present invention in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present invention may also be a computer-readable storage medium, having stored thereon computer program instructions which, when executed by a processor, cause the processor to perform the steps in a method of mining history change records according to various embodiments of the present invention described in the "exemplary methods" section above in this specification.
The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The basic principles of the present invention have been described above in connection with specific embodiments, however, it should be noted that the advantages, benefits, effects, etc. mentioned in the present invention are merely examples and not intended to be limiting, and these advantages, benefits, effects, etc. are not to be considered as essential to the various embodiments of the present invention. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, as the invention is not necessarily limited to practice with the above described specific details.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different manner from other embodiments, so that the same or similar parts between the embodiments are mutually referred to. For system embodiments, the description is relatively simple as it essentially corresponds to method embodiments, and reference should be made to the description of method embodiments for relevant points.
The block diagrams of the devices, systems, apparatuses, systems according to the present invention are merely illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, systems, apparatuses, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
The method and system of the present invention may be implemented in a number of ways. For example, the methods and systems of the present invention may be implemented by software, hardware, firmware, or any combination of software, hardware, firmware. The above-described sequence of steps for the method is for illustration only, and the steps of the method of the present invention are not limited to the sequence specifically described above unless specifically stated otherwise. Furthermore, in some embodiments, the present invention may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present invention. Thus, the present invention also covers a recording medium storing a program for executing the method according to the present invention.
It is also noted that in the systems, devices and methods of the present invention, components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent aspects of the present invention. The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the invention. Thus, the present invention is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the invention to the form disclosed herein. Although a number of example aspects and embodiments have been discussed above, a person of ordinary skill in the art will recognize certain variations, modifications, alterations, additions, and subcombinations thereof.
Claims (10)
1. The utility model provides a micro-grid power and electricity demand and adjustable capacity assessment method considering robustness, which is characterized by comprising the following steps:
establishing a micro-grid model, wherein the micro-grid model comprises a micro-grid equipment model and a micro-grid supply-demand balance model;
based on a micro-grid model, analyzing an influence mechanism of power supply/storage equipment on a power demand interval;
establishing a power demand adjustable capacity evaluation model of the micro-grid based on an influence mechanism;
determining an external power demand interval based on the power demand adjustable capability assessment model;
and analyzing the balance capacity of the micro-grid participating in the electric power and the electric quantity according to the electric power demand interval, and constructing a micro-grid equivalent model.
2. The method of claim 1, wherein the establishing a microgrid model comprises:
establishing a micro-grid equipment model;
and establishing a micro-grid supply-demand balance model.
3. The method according to claim 1, wherein analyzing the influence mechanism of the power supply/storage device on the power demand interval based on the micro grid model comprises:
based on a micro-grid model, analyzing an influence mechanism of energy supply equipment on an energy demand interval;
based on the micro-grid model, an influence mechanism of the energy storage device on the energy demand interval is analyzed.
4. The method of claim 1, wherein the establishing a power demand tunable capability assessment model of the microgrid based on the impact mechanism comprises:
determining upper and lower boundaries of a power demand interval of the micro-grid based on an influence mechanism;
determining an objective function of the power demand of the microgrid based on the impact mechanism;
determining a constraint condition of the power demand of the micro-grid based on the impact mechanism;
and establishing a power demand adjustable capacity assessment model of the micro-grid based on the upper and lower boundaries, the objective function and the constraint condition.
5. The method according to claim 1, wherein the analyzing the balance capability of the micro-grid to participate in the electric power and the electric quantity according to the electric power demand interval, and constructing the micro-grid equivalent model, includes:
according to the power demand interval, respectively counting various indexes of the power demand interval, wherein the various indexes comprise the maximum value, the minimum value, the upper boundary minimum value, the lower boundary maximum value, the maximum power consumption, the minimum power consumption and the maximum peak regulation capacity of the power demand interval;
according to various indexes of statistics, analyzing the balance capacity of the micro-grid in the electric power and the electric quantity;
and constructing a micro-grid equivalent model of the micro-grid participating in the electric power and electric quantity balance capability according to the counted indexes and the analyzed balance capability.
6. The method of claim 5, wherein the microgrid equivalent model comprises an equivalent load model, an equivalent power model, and an equivalent energy storage model.
7. A robustness-considered micro-grid power and electricity demand and adjustability assessment device, comprising:
the first building module is used for building a micro-grid model, wherein the micro-grid model comprises a micro-grid equipment model and a micro-grid supply-demand balance model;
the first analysis module is used for analyzing an influence mechanism of the power supply/storage equipment on the power demand interval based on the micro-grid model;
the second establishing module is used for establishing a power demand adjustable capacity evaluation model of the micro-grid based on an influence mechanism;
the determining module is used for determining an external power demand interval based on the power demand adjustable capacity evaluation model;
and the second analysis module is used for analyzing the balance capacity of the micro-grid participating in the electric power and the electric quantity according to the electric power demand interval and constructing a micro-grid equivalent model.
8. The apparatus of claim 7, wherein the first establishing module is specifically configured to:
establishing a micro-grid equipment model;
and establishing a micro-grid supply-demand balance model.
9. A computer readable storage medium, characterized in that the storage medium stores a computer program for executing the method of any of the preceding claims 1-6.
10. An electronic device, the electronic device comprising:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method of any of the preceding claims 1-6.
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