CN112260296A - Hybrid energy storage system optimization method and device for stabilizing intermittent load - Google Patents
Hybrid energy storage system optimization method and device for stabilizing intermittent load Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
A hybrid energy storage system optimization method and device for stabilizing intermittent load comprises the following steps: step 1): simulating power change of intermittent load and mathematical modeling of an energy storage element in the hybrid energy storage system; step 2): establishing a high-low frequency power distribution model of the hybrid energy storage system; step 3): determining the rated power and capacity range of the hybrid energy storage system by combining constraint conditions; step 4): establishing a hybrid energy storage capacity optimization model containing capacity cost and power cost; step 5): and solving the hybrid energy storage capacity optimization model according to the optimization objective function to obtain a capacity optimization result of the hybrid energy storage system. The invention can realize the effective distribution of power between the storage battery and the super capacitor in the hybrid energy storage system, ensure the effectiveness of stabilizing the intermittent load power fluctuation, simultaneously ensure the economy of optimally configuring the hybrid energy storage system, and improve the power quality and the power supply reliability of the low-voltage distribution network containing the intermittent load.
Description
Technical Field
The invention relates to the technical field of hybrid energy storage optimization, in particular to a hybrid energy storage system optimization method and device for stabilizing intermittent load.
Background
Rural areas, mountainous areas, islands, old urban areas and the like in China are located at the tail ends of the power distribution network, the low-voltage power distribution network is wide in coverage range and weak in grid structure, and the problems of insufficient power supply capacity, poor power quality and low power supply reliability caused by seasonal and periodic load fluctuation often exist. The agriculture, forestry, fishery and the like in some areas belong to the time-saving and seasonal industries, electric equipment presents the characteristic of intermittent load, the difference between the peak and the valley of the power is about ten times, the power can cause the problems of electric energy quality such as reduction of the power voltage, imbalance of three-phase voltage and the like due to the power in the peak, and the capacity of a distribution transformer is out of limit in serious cases, so that distribution transformer and the electric equipment can not work or be damaged, huge economic loss is brought, and even power supply and utilization disputes are caused. Therefore, a new approach is needed to solve the power supply problems of the power distribution network, such as outstanding load intermittency characteristics, low power supply reliability, insufficient power supply capacity, and the like.
Disclosure of Invention
The invention provides a hybrid energy storage system optimization method and a hybrid energy storage system optimization device for stabilizing intermittent load, which realize the effective power distribution between a storage battery and a super capacitor in a Hybrid Energy Storage System (HESS), ensure the effectiveness of stabilizing intermittent load power fluctuation, ensure the economy of optimally configuring the hybrid energy storage system, and improve the electric energy quality and the power supply reliability of a low-voltage distribution network containing the intermittent load.
The technical scheme of the invention is as follows: the method comprises the following steps:
step 1): simulating power change of intermittent load and mathematical modeling of an energy storage element;
step 2): establishing a high-low frequency power distribution model of the hybrid energy storage system;
step 3): determining the rated power and capacity range of the hybrid energy storage system by combining constraint conditions;
step 4): establishing a hybrid energy storage capacity optimization model containing capacity cost and power cost;
step 5): and solving the hybrid energy storage capacity optimization model according to the optimization objective function to obtain a capacity optimization result of the hybrid energy storage system.
In the step 1), the step (A) is carried out,
simulating the power change of the intermittent load by adopting a statistical synthesis method to obtain a power change curve of the intermittent load;
the energy storage element comprises a storage battery and a super capacitor,
the storage battery state of charge model is as follows:
wherein SOC (t) represents the current state of charge of the battery, SOC0Representing the initial state of charge, Q, of the batterybatIndicating rated capacity of battery, IbThe current value of the accumulator is shown, dt is the time integral micro quantity;
the model of the super capacitor is as follows:
wherein E istRepresenting the capacity of the supercapacitor, C representing the capacitance of the supercapacitor, VtRepresenting the voltage value, V, of the supercapacitor0Represents the initial value of the voltage of the super capacitor, IcThe current value of the super capacitor is shown, t is the working time of the super capacitor, and R is the equivalent resistance value of the super capacitor.
The specific process of step 2) is as follows:
step 21): supplying power P through the distribution networkGAnd load power PLThe difference determines the power deficit Δ P;
step 22): and decomposing the power shortage delta P by adopting empirical mode decomposition, wherein the expression is as follows:
ΔP(t)＝∑ci+r (3)
wherein: ci denotes the natural mode function of each order of the decomposition, i is 1,2 … … n; r represents a margin;
step 23): the power shortage delta P is converted by Hilbert to obtain instantaneous frequency-time curves of all inherent modal functions, and the power shortage delta P is found at c by searching frequency division frequencygAnd cg+1Partitioning into high-frequency fluctuating components P with minimal modal aliasinghighAnd low frequency fluctuationsComponent PlowThe expressions are respectively as follows:
Phigh＝c1+c2+…+cg (4)
Plow＝cg+1+cg+2+…+cn (5)
wherein: c. CgThe component is a boundary frequency component of high frequency and low frequency, and g belongs to i;
the super capacitor and the storage battery respectively fluctuate with high frequencyhighAnd a low-frequency fluctuation component PlowAs a reference output for stabilizing the fluctuation of the intermittent load power.
In step 3), the constraint condition includes: the actual charging and discharging efficiency of the hybrid energy storage system, the continuous and stable running condition of the hybrid energy storage system and the charge state of the hybrid energy storage system.
Determining the final rated power and capacity of the hybrid energy storage system by combining the actual charging and discharging efficiency of the hybrid energy storage system, the continuous and stable running condition of the hybrid energy storage system and the charge state of the hybrid energy storage system;
considering the charging and discharging efficiency of the energy storage element, the required power of the hybrid energy storage system at any moment is as follows:
in the formula: p*(t) is the power shortage delta P which needs to be stabilized by the hybrid energy storage system, P (t) is the actual charging and discharging power of the hybrid energy storage system, and eta ch and eta dc are the charging efficiency and the discharging efficiency of the hybrid energy storage system respectively;
specifying a power rating P of a hybrid energy storage systemHESSAt the maximum of the absolute value of the charging and discharging power, i.e.
PHESS≥max|P*(t)| (7)
Cumulative volume W over time THESSThe calculation formula of (A) is as follows:
rated capacity W of hybrid energy storage systemHESSThe calculation formula of (A) is as follows:
in the formula: SOCmaxAt the upper limit of the state of charge, SOCminLower limit of state of charge;
the continuous and stable operation of the hybrid energy storage system is constrained as follows:
0≤P(t)≤PHESS (10)
the state of charge constraints of the hybrid energy storage system are as follows:
SOCmin≤SOC(t)≤SOCmax (11)。
in the step 4), a hybrid energy storage capacity optimization model containing capacity cost and power cost is established as follows:
C0＝C1+C2＝K1Pr.b+K2Pr.c+K3Er.b+K4Er,c (12)
wherein, C0To initial investment costs, C1And C2Power cost and capacity cost, P, respectivelyr.bAnd Er.bIs the rated power and rated capacity, P, of the batteryr.cAnd Er.cRated power and rated capacity of the super capacitor; k1And K2Is the power unit price and the capacity unit price of the storage battery, K3And K4The power unit price and the capacity unit price of the super capacitor are achieved.
In the step 5), the step of mixing the raw materials,
the optimization objective function is:
x is (x1, x2, …, xn), g (x) is less than or equal to 0, and is power flow constraint of the power distribution network system, and comprises node voltage amplitude and phase angle constraint, node active power and reactive power constraint, i is 1,2, …, n; i is a system constraint index. A hybrid energy storage system optimization device for stabilizing intermittent loading, comprising:
the simulation modeling module is used for simulating the power change of the intermittent load and mathematical modeling of an energy storage element in the hybrid energy storage system;
the power distribution module is used for establishing a high-low frequency power distribution model of the hybrid energy storage system;
the constraint determining module is used for determining the rated power and capacity range of the hybrid energy storage system by combining constraint conditions;
the capacity optimization module is used for establishing a hybrid energy storage capacity optimization model containing capacity cost and power cost;
and the solving module is used for solving the hybrid energy storage capacity optimization model according to the optimization objective function to obtain a capacity optimization result of the hybrid energy storage system.
The invention can fully utilize the characteristics of different energy storage elements in the hybrid energy storage system and solve various power supply problems of the power distribution network, such as prominent load intermittence characteristic, low power supply reliability, insufficient power supply capacity and the like. The hybrid energy storage system provided by the invention has the advantages that the key technology for stabilizing the operation of the power distribution network with intermittent load is provided, the power supply capacity, the power supply reliability and the electric energy quality of the power distribution network are improved, and huge social and economic benefits are brought.
Drawings
Figure 1 is a flow chart of the present invention,
FIG. 2 is a schematic diagram of an empirical mode decomposition algorithm in accordance with the present invention.
Detailed Description
The following description of the embodiments and specific operation of the present invention will be made with reference to the accompanying drawings, but the scope of the present invention is not limited to the specific description below.
The present invention, as shown in fig. 1-2, comprises the following steps:
step 1): simulating power change of intermittent load and mathematical modeling of an energy storage element in the hybrid energy storage system;
establishing a mathematical model of the energy storage element by simulating an intermittent load power change curve to obtain the working characteristic of the energy storage element;
step 2): establishing a high-low frequency power distribution model of the hybrid energy storage system; carrying out high-low frequency decomposition on the power shortage caused by the intermittent load to realize the stabilization of the intermittent load;
step 3): determining the rated power and capacity range of the hybrid energy storage system by combining constraint conditions;
step 4): establishing a hybrid energy storage capacity optimization model containing capacity cost and power cost; on the basis of stabilizing the intermittent load, carrying out economic capacity optimization on the hybrid energy storage system;
step 5): and solving the hybrid energy storage capacity optimization model according to the optimization objective function to obtain a capacity optimization result of the hybrid energy storage system.
In the step 1), the step (A) is carried out,
simulating the power change of the intermittent load by adopting a statistical synthesis method, wherein the intermittent load is a peak load or an impact load of the power system in a certain time period, and the power change of the rest time periods is more gradual, so as to obtain a power change curve of the intermittent load;
the energy storage element comprises a storage battery and a super capacitor,
the storage battery state of charge model is as follows:
wherein SOC (t) represents the current state of charge of the battery, SOC0Representing the initial state of charge, Q, of the batterybatIndicating rated capacity of battery, IbThe current value of the accumulator is shown, dt is the time integral micro quantity;
the model of the super capacitor is as follows:
wherein E istIndicating supercapacitor capacity, C tableIndicating the capacitance value, V, of the supercapacitortRepresenting the voltage value, V, of the supercapacitor0Represents the initial value of the voltage of the super capacitor, IcThe current value of the super capacitor is shown, t is the working time of the super capacitor, and R is the equivalent resistance value of the super capacitor.
The specific process of step 2) is as follows:
step 21): supplying power P through the distribution networkGAnd load power PLThe difference determines the power deficit Δ P;
step 22): and decomposing the power shortage delta P by adopting empirical mode decomposition, wherein the expression is as follows:
ΔP(t)＝∑ci+r (3)
wherein: ci denotes the natural mode function of each order of the decomposition, i is 1,2 … … n; r represents a margin;
step 23): the power shortage delta P is converted by Hilbert to obtain instantaneous frequency-time curves of all inherent modal functions, and the power shortage delta P is found at c by searching frequency division frequencygAnd cg+1Partitioning into high-frequency fluctuating components P with minimal modal aliasinghighAnd a low-frequency fluctuation component PlowThe expressions are respectively as follows:
Phigh＝c1+c2+…+cg (4)
Plow＝cg+1+cg+2+…+cn (5)
wherein: c. CgThe component is a boundary frequency component of high frequency and low frequency, and g belongs to i;
the super capacitor and the storage battery respectively fluctuate with high frequencyhighAnd a low-frequency fluctuation component PlowAs a reference output for stabilizing the fluctuation of the intermittent load power.
In specific application, the EMD algorithm as shown in fig. 2 establishes a high-low frequency power distribution model of the hybrid energy storage system:
1) the method takes the active power distribution network of the low-voltage 400V distribution transformer area as a scene, and the capacity P of the transformerGAnd the load PLAnd determining the power shortage delta P according to the difference, and determining the charge-discharge state of the hybrid energy storage system. Δ P is greater thanWhen the time is zero, the hybrid energy storage system is in a charging state; when the delta P is less than zero, the hybrid energy storage system is in a discharging state, and power fluctuation of intermittent load is stabilized. And when the delta P is less than zero, performing frequency domain analysis on the load characteristic, performing power distribution on the delta P, selecting a proper frequency dividing point to divide the delta P into high-frequency power and low-frequency power, and performing power distribution on the hybrid energy storage system. In order to reduce invalid hybrid energy storage stabilization and improve the fluctuation efficiency of the peak load in the midday of the hybrid energy storage stabilization, a threshold value is set for delta P, and when the delta P is less than zero, when the threshold value is 0<|ΔP|<In the case of the threshold value, power compensation is performed only by the battery. When | Δ P |>At the threshold, power compensation is provided by the hybrid energy storage system.
2) Based on the intermittent load characteristics, frequency domain analysis is performed to realize high and low frequency distribution of power, and Empirical Mode Decomposition (EMD) is adopted to decompose the power shortage delta P. The essence of EMD is a screening process by which Δ P is decomposed into a series of Intrinsic Mode Functions (IMFs) ciAnd a margin r (reflecting the trend of the power deficit), i.e. the power supply
ΔP(t)＝∑ci+r
3) Each IMF is an oscillation mode of delta P, and instantaneous frequency-time curves of all IMFs can be obtained through Hilbert transform, and the power shortage is c through searching frequency divisiongAnd cg+1The method is divided into a high-frequency fluctuation component and a low-frequency fluctuation component under the condition of minimal modal aliasing, and the expressions are respectively as follows:
Phigh＝c1+c2+…+cg
Plow＝cg+1+cg+2+…+cm
in step 3), the constraint condition includes: the actual charging and discharging efficiency of the hybrid energy storage system, the continuous and stable running condition of the hybrid energy storage system and the charge state of the hybrid energy storage system.
The configuration of the rated power and the capacity of the hybrid energy storage system can meet the requirement of absorbing or compensating the difference of the actual power at any moment in a specific time period, namely the requirement of stabilizing the actual delta P in the system;
determining the final rated power and capacity of the hybrid energy storage system by combining the actual charging and discharging efficiency of the hybrid energy storage system, the continuous and stable running condition of the hybrid energy storage system and the state of charge (SOC) of the hybrid energy storage system;
considering the charging and discharging efficiency of the energy storage element, the required power of the hybrid energy storage system at any moment is as follows:
in the formula: p*(t) is the power shortage delta P which needs to be stabilized by the hybrid energy storage system, P (t) is the actual charging and discharging power of the hybrid energy storage system, and eta ch and eta dc are the charging efficiency and the discharging efficiency of the hybrid energy storage system respectively;
specifying a power rating P of a hybrid energy storage systemHESSAt the maximum of the absolute value of the charging and discharging power, i.e.
PHESS≥max|P*(t)| (7)
Cumulative volume W over time THESSThe calculation formula of (A) is as follows:
rated capacity W of hybrid energy storage systemHESSThe calculation formula of (A) is as follows:
in the formula: SOCmaxAt the upper limit of the state of charge, SOCminLower limit of state of charge;
the continuous and stable operation of the hybrid energy storage system is constrained as follows:
0≤P(t)≤PHESS (10)
the state of charge constraints of the hybrid energy storage system are as follows:
SOCmin≤SOC(t)≤SOCmax (11)。
in the step 4), in the process of optimizing configuration of the hybrid energy storage system, it is required to stabilize intermittent load power fluctuation, and simultaneously, the capacity and power of the hybrid energy storage system are ensured to be as small as possible, and the capacity cost (cost of a battery and a super capacitor) and the power cost (cost of a power electronic device) are the lowest. While stabilizing intermittent load power fluctuation, establishing a hybrid energy storage capacity optimization model containing capacity cost and power cost as follows:
C0＝C1+C2＝K1Pr.b+K2Pr.c+K3Er.b+K4Er,c (12)
wherein, C0To initial investment costs, C1And C2Power cost and capacity cost, P, respectivelyr.bAnd Er.bIs the rated power and rated capacity, P, of the batteryr.cAnd Er.cRated power and rated capacity of the super capacitor; k1And K2Is the power unit price and the capacity unit price of the storage battery, K3And K4The power unit price and the capacity unit price of the super capacitor are achieved.
In step 5), aiming at the capacity optimization problem of the hybrid energy storage system, the optimization objective function is as follows:
x is (x1, x2, …, xn), g (x) is less than or equal to 0, and is power flow constraint of the power distribution network system, and comprises node voltage amplitude and phase angle constraint, node active power and reactive power constraint, i is 1,2, …, n; i is a system constraint index.
A hybrid energy storage system optimization device for stabilizing intermittent loading, comprising:
the simulation modeling module is used for simulating the power change of the intermittent load and mathematical modeling of an energy storage element in the hybrid energy storage system;
the power distribution module is used for establishing a high-low frequency power distribution model of the hybrid energy storage system;
the constraint determining module is used for determining the rated power and capacity range of the hybrid energy storage system by combining constraint conditions;
the capacity optimization module is used for establishing a hybrid energy storage capacity optimization model containing capacity cost and power cost;
and the solving module is used for solving the hybrid energy storage capacity optimization model according to the optimization objective function to obtain a capacity optimization result of the hybrid energy storage system.
At present, peak clipping and valley filling on a load side can be realized through the time shifting action of an energy storage system aiming at the line overload or insufficient power supply capacity caused by large load peak-valley difference. Therefore, the energy storage application technology has become an effective technical means for the power supply capability and the power supply reliability of the low-voltage distribution network. The stored energy can be classified into energy type stored energy and power type stored energy according to the output characteristics. The energy type energy storage has high energy density, small power density and long response time, and is suitable for stabilizing low-frequency power fluctuation of high energy. The power type energy storage has large power density, short response time and small energy density, and is suitable for stabilizing high-frequency power fluctuation with low energy. By adopting a Hybrid Energy Storage System (HESS), the short-time charging and discharging rate of the energy storage system and the pressure of the output power can be released by a power type energy storage device, and the capacity of the system can be ensured by the energy type energy storage device.
The invention provides a key technology for stabilizing the operation of a power distribution network with intermittent load by a hybrid energy storage system, improves the power supply capacity, the power supply reliability and the power quality of the power distribution network, and brings huge social and economic benefits.
The method steps and data described in connection with the present invention are only exemplary embodiments of the present invention, and are intended to be a general description and illustration of the spirit of the present invention, and one skilled in the art of the present invention may recognize many possibilities for alternative or alternative embodiments, modifications, additions, improvements or substitutions without departing from the spirit and principles of the present invention. It is to be understood that such modifications, additions, improvements or substitutions are intended to be included within the invention without departing from the spirit thereof or exceeding the scope thereof as defined in the accompanying claims.
Claims (8)
1. A hybrid energy storage system optimization method for stabilizing intermittent loads is characterized by comprising the following steps:
step 1): simulating power change of intermittent load and mathematical modeling of an energy storage element in the hybrid energy storage system;
step 2): establishing a high-low frequency power distribution model of the hybrid energy storage system;
step 3): determining the rated power and capacity range of the hybrid energy storage system by combining constraint conditions;
step 4): establishing a hybrid energy storage capacity optimization model containing capacity cost and power cost;
step 5): and solving the hybrid energy storage capacity optimization model according to the optimization objective function to obtain a capacity optimization result of the hybrid energy storage system.
2. The hybrid energy storage system optimization method for stabilizing intermittent load according to claim 1, characterized in that in step 1),
simulating the power change of the intermittent load by adopting a statistical synthesis method to obtain a power change curve of the intermittent load;
the energy storage element comprises a storage battery and a super capacitor,
the storage battery state of charge model is as follows:
wherein SOC (t) represents the current state of charge of the battery, SOC0Representing the initial state of charge, Q, of the batterybatThe rated capacity of the battery is shown, Ib represents the current value flowing through the storage battery, and dt represents the time integral trace;
the model of the super capacitor is as follows:
wherein E istRepresenting the capacity of the supercapacitor, C representing the capacitance of the supercapacitor, VtRepresenting the voltage value, V, of the supercapacitor0Represents the initial value of the voltage of the super capacitor, IcThe current value of the super capacitor is shown, t is the working time of the super capacitor, and R is the equivalent resistance value of the super capacitor.
3. The hybrid energy storage system optimization method for stabilizing intermittent load according to claim 2, wherein the specific process of the step 2) is as follows:
step 21): supplying power P through the distribution networkGAnd load power PLThe difference determines the power deficit Δ P;
step 22): and decomposing the power shortage delta P by adopting empirical mode decomposition, wherein the expression is as follows:
ΔP(t)＝∑ci+r (3)
wherein: ci denotes the natural mode function of each order of the decomposition, i is 1,2 … … n; r represents a margin;
step 23): the power shortage delta P is converted by Hilbert to obtain instantaneous frequency-time curves of all inherent modal functions, and the power shortage delta P is found at c by searching frequency division frequencygAnd cg+1Partitioning into high-frequency fluctuating components P with minimal modal aliasinghighAnd a low-frequency fluctuation component PlowThe expressions are respectively as follows:
Phigh＝c1+c2+…+cg (4)
Plow＝cg+1+cg+2+…+cn (5)
wherein: c. CgThe component is a boundary frequency component of high frequency and low frequency, and g belongs to i;
the super capacitor and the storage battery respectively fluctuate with high frequencyhighAnd a low-frequency fluctuation component PlowAs a reference output for stabilizing the fluctuation of the intermittent load power.
4. A hybrid energy storage system optimization method for stabilizing intermittent load according to claim 3, wherein in step 3), the constraint condition comprises: the actual charging and discharging efficiency of the hybrid energy storage system, the continuous and stable running condition of the hybrid energy storage system and the charge state of the hybrid energy storage system.
5. A hybrid energy storage system optimization method for stabilizing intermittent loading according to claim 4,
determining the final rated power and capacity of the hybrid energy storage system by combining the actual charging and discharging efficiency of the hybrid energy storage system, the continuous and stable running condition of the hybrid energy storage system and the charge state of the hybrid energy storage system;
considering the charging and discharging efficiency of the energy storage element, the required power of the hybrid energy storage system at any moment is as follows:
in the formula: p*(t) is the power shortage delta P which needs to be stabilized by the hybrid energy storage system, P (t) is the actual charging and discharging power of the hybrid energy storage system, and eta ch and eta dc are the charging efficiency and the discharging efficiency of the hybrid energy storage system respectively;
specifying a power rating P of a hybrid energy storage systemHESSAt the maximum of the absolute value of the charging and discharging power, i.e.
PHESS≥max|P*(t)| (7)
Cumulative volume W over time THESSThe calculation formula of (A) is as follows:
rated capacity W of hybrid energy storage systemHESSThe calculation formula of (A) is as follows:
in the formula: SOCmaxAt the upper limit of the state of charge, SOCminLower limit of state of charge;
the continuous and stable operation of the hybrid energy storage system is constrained as follows:
0≤P(t)≤PHESS (10)
the state of charge constraints of the hybrid energy storage system are as follows:
SOCmin≤SOC(t)≤SOCmax (11)。
6. the hybrid energy storage system optimization method for stabilizing intermittent load according to claim 5, characterized in that in step 4),
establishing a hybrid energy storage capacity optimization model containing capacity cost and power cost as follows:
C0＝C1+C2＝K1Pr.b+K2Pr.c+K3Er.b+K4Er,c (12)
wherein, C0To initial investment costs, C1And C2Power cost and capacity cost, P, respectivelyr.bAnd Er.bIs the rated power and rated capacity, P, of the batteryr.cAnd Er.cRated power and rated capacity of the super capacitor; k1And K2Is the power unit price and the capacity unit price of the storage battery, K3And K4The power unit price and the capacity unit price of the super capacitor are achieved.
7. The hybrid energy storage system optimization method for stabilizing intermittent load according to claim 6, wherein in the step 5), the optimization objective function is as follows:
x is (x1, x2, …, xn), g (x) is less than or equal to 0, and is power flow constraint of the power distribution network system, and comprises node voltage amplitude and phase angle constraint, node active power and reactive power constraint, i is 1,2, …, n; i is a system constraint index.
8. A hybrid energy storage system optimization device for stabilizing intermittent loading, comprising:
the simulation modeling module is used for simulating the power change of the intermittent load and mathematical modeling of an energy storage element in the hybrid energy storage system;
the power distribution module is used for establishing a high-low frequency power distribution model of the hybrid energy storage system;
the constraint determining module is used for determining the rated power and capacity range of the hybrid energy storage system by combining constraint conditions;
the capacity optimization module is used for establishing a hybrid energy storage capacity optimization model containing capacity cost and power cost;
and the solving module is used for solving the hybrid energy storage capacity optimization model according to the optimization objective function to obtain a capacity optimization result of the hybrid energy storage system.
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| CN113762626A (en) * | 2021-09-10 | 2021-12-07 | 国网江苏省电力有限公司扬州供电分公司 | Hybrid energy storage system capacity optimization method considering economy |
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