CN117477555A - Transient power unbalance index prediction method for power grid containing electrochemical energy storage - Google Patents

Transient power unbalance index prediction method for power grid containing electrochemical energy storage Download PDF

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CN117477555A
CN117477555A CN202311483105.2A CN202311483105A CN117477555A CN 117477555 A CN117477555 A CN 117477555A CN 202311483105 A CN202311483105 A CN 202311483105A CN 117477555 A CN117477555 A CN 117477555A
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power
power grid
energy storage
electrochemical energy
transient
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Inventor
李剑
卢国强
杨立滨
李永斌
李正曦
梁英
刘庭响
赵东宁
马俊雄
赵焕蓓
张启雁
李子巍
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State Grid Corp of China SGCC
Shenyang University of Technology
State Grid Qinghai Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Qianghai Electric Power Co Ltd
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State Grid Corp of China SGCC
Shenyang University of Technology
State Grid Qinghai Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Qianghai Electric Power Co Ltd
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Priority to CN202311483105.2A priority Critical patent/CN117477555A/en
Publication of CN117477555A publication Critical patent/CN117477555A/en
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/002Flicker reduction, e.g. compensation of flicker introduced by non-linear load
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/004Generation forecast, e.g. methods or systems for forecasting future energy generation
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24Arrangements for preventing or reducing oscillations of power in networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48Controlling the sharing of the in-phase component
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/10The dispersed energy generation being of fossil origin, e.g. diesel generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/28The renewable source being wind energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/40Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Nonlinear Science (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a method for predicting transient power unbalance index of a power grid containing electrochemical energy storage, which relates to the technical field of operation control of new energy power grids, and the method comprises the steps of collecting various data required by the transient power unbalance index of the power grid containing electrochemical energy storage, and calculating an influence factor of total output active power of electrochemical energy storage in the power grid on a parameter predicted value calculated by the transient power unbalance index of the power grid containing electrochemical energy storage; calculating a predicted value of a normalized value of the total output active power of the photovoltaic power in the power grid, a predicted value of a normalized value of the total output active power of the wind power in the power grid, a predicted value of a normalized value of the total output active power of the thermal power in the power grid, a predicted value of a normalized value of the total output active power of the electrochemical energy storage in the power grid and a predicted value of a normalized value of a voltage average value of nodes of the power grid at the next moment in the future; and calculating transient power unbalance index of the power grid containing the electrochemical energy storage at the next moment in the future according to the following formula, and controlling the operation control system of the new energy power grid.

Description

Transient power unbalance index prediction method for power grid containing electrochemical energy storage
Technical Field
The invention relates to the technical field of operation control of new energy power grids, in particular to a transient power unbalance index prediction method for a power grid containing electrochemical energy storage.
Background
Along with the rapid increase of the installed capacity of new energy power generation, the influence of the characteristics of higher output uncertainty, weaker energy output controllability under a multidimensional time scale and the like on the transient power balance characteristic and the transient stability of the power grid is increasingly complex. In a system containing large-scale new energy, once a transient fault occurs, the strong fluctuation and uncertainty of the new energy can greatly increase the safety and stability risks of the system. In the actual running process of the power grid, the power grid needs to be regulated by predicting whether the transient power of the power grid is balanced at the next moment. If the grid transient power balances, the current operating state is maintained. If the transient power of the power grid is unbalanced, the unbalance amount of the transient power of the power grid is generated, and the power grid is required to be correspondingly regulated according to the state of the unbalance amount of the transient power of the power grid, but no method for predicting whether the transient power of the power grid is balanced exists at present. Therefore, it is necessary to determine a method for predicting the transient power unbalance index of the power grid containing electrochemical energy storage in the power system, determine whether the transient power of the power grid is balanced by predicting the transient power unbalance index of the power grid containing electrochemical energy storage, determine the state of the unbalance of the transient power of the power grid, determine the strength of the power balance capacity of the power grid based on the state of the unbalance of the transient power of the power grid, and process the transient fault of the power grid according to the strength of the power balance capacity of the power grid so as to improve the stability of the transient process of the power grid.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a transient power unbalance index prediction method for an electric network containing electrochemical energy storage.
Step 1: defining an electrochemical energy storage power grid transient power unbalance index, collecting various data required by the electrochemical energy storage power grid transient power unbalance index and establishing a time sequence;
defining transient power unbalance index of the electrochemical energy storage power grid:
where n is a natural number, n=1, 2, …, i ε {1,2, …, n }, et 1 ,et 2 ,...,et i ,...,et n At the time of n fixed time intervals,is the et i Photovoltaic total output active power in power grid at moment, < >>Is the et i Wind power total output active power in power grid at moment, < + >>Is the et i Thermal power total output active power in power grid at moment,/->Is the et i Electrochemical energy storage total output active power in power grid at moment, < >>Is the et i Mean value of grid node voltage at moment, P gf,min And P gf,min The moments et at these n fixed time intervals, respectively 1 ,et 2 ,...,et i ,...,et n Maximum and minimum values, P in total output active power measurement values of photovoltaic in internal power grid fd,max And P fd,min The moments et at these n fixed time intervals, respectively 1 ,et 2 ,...,et i ,...,et n Maximum and minimum values, P in total output active power measurement value of wind power in internal power grid hd,max And P hd,min The times et of the n fixed time intervals respectively 1 ,et 2 ,...,et i ,...,et n The total output of the thermal power in the internal power grid isMaximum and minimum values, P, in the power measurements dhx,max And P dhx,min The times et of the n fixed time intervals respectively 1 ,et 2 ,...,et i ,...,et n Maximum and minimum values in total output active power measurement value of electrochemical energy storage in internal power grid, U xny,max And U xny,min The times et of the n fixed time intervals respectively 1 ,et 2 ,...,et i ,...,et n Maximum and minimum values in the measured values of the voltage average of the internal grid nodes;
establishing a time sequence of various data required by the transient power unbalance index of the electrochemical energy storage power grid:
at time et of n fixed time intervals 1 ,et 2 ,...,et i ,...,et n Measuring to obtain the total output active power of the photovoltaic in the power gridWind power total output active power in power grid>Thermal power total output active power in power grid>Electrochemical energy storage total output active power in power grid>Grid node voltage average ∈ ->And establishes the following time series:
step 2: normalizing the measured data;
the following normalization processing is carried out on the measured data:
in the method, in the process of the invention,is the et i Normalized value of total output active power of photovoltaic in power grid at moment +.>Is the et i Normalized value of wind power total output active power in power grid at moment +.>Is the et i Normalized value of total output active power of thermal power in power grid at moment +.>Is the et i Normalized value of total output active power of electrochemical energy storage in power grid at moment +.>Is the et i A normalization value of the node voltage average value of the power grid at the moment;
step 3: calculating influence factors of total output active power of electrochemical energy storage in power grid on transient power unbalance index calculation parameter predicted value of power grid containing electrochemical energy storage
Calculating the influence factor of the total output active power of the electrochemical energy storage in the power grid on the calculated parameter predicted value of the transient power unbalance index of the power grid containing the electrochemical energy storage according to the following formula
Step 4: calculate the next time et in future n+1 Predicted value of normalized value of total output active power of photovoltaic in power gridPredicted value of normalized value of total output active power of wind power in power grid +.>Predicted value of normalized value of total output active power of thermal power in power grid>Predicted value of normalized value of total output active power of electrochemical energy storage in power grid>And the predicted value of the average value normalization value of the power grid node voltage>
In the middle ofFor each item of data et n+1 A predicted value matrix of data normalization values at a moment;
et for each item of data 1 ,et 2 ,...,et i ,...,et n The normalized value data matrix obtained by calculation at the time of the n fixed time intervals;
an influence factor matrix for calculating a parameter predicted value;
step 5: calculate the next time et in the future according to n+1 Transient power unbalance index of time-containing electrochemical energy storage power grid
If it is calculated according to the formula (6) to obtain the next time et in the future n+1 When the transient power unbalance index predicted value of the electrochemical energy storage power grid is smaller than or equal to 0.509, if transient faults occur, the transient power unbalance amount of the power grid is smaller, the power balance capacity of the power grid is stronger, the power generation output power of new energy sources is improved, the power generation power of thermal power is reduced, and the electrochemical energy storage charge state is reduced; if calculate to get the next time et in future n+1 When the predicted value of the transient power unbalance index of the electrochemical energy storage power grid is larger than 0.509, if a transient fault occurs, the transient power unbalance amount of the power grid is larger, the power balance capacity of the power grid is weaker, the power generation output power of a new energy source is reduced, the power generation power of a thermal power is increased, and the charge state of electrochemical energy storage is increased.
The beneficial effects of adopting above-mentioned technical scheme to produce lie in:
the invention provides a transient power unbalance index prediction method for an electric network containing electrochemical energy storage, which is used for monitoring the average value of the total photovoltaic output active power in the electric network, the total wind power output active power in the electric network, the total thermal power output active power in the electric network, the total electrochemical energy storage output active power in the electric network and the node voltage of the electric network in real time, calculating the transient power unbalance index of the electric network containing electrochemical energy storage according to the data obtained by monitoring, controlling a new energy electric network operation control system according to the calculation result in real time, and improving the power balance capacity of the electric network and the stability of the transient process more effectively.
Drawings
FIG. 1 is a flowchart of a method for predicting transient power imbalance index of a power grid with electrochemical energy storage according to an embodiment of the present invention.
Detailed Description
The following describes in further detail the embodiments of the present invention with reference to the drawings and examples. The following examples are illustrative of the invention and are not intended to limit the scope of the invention.
A transient power unbalance index prediction method for an electric network containing electrochemical energy storage, as shown in figure 1, comprises the following steps:
step 1: defining an electrochemical energy storage power grid transient power unbalance index, collecting various data required by the electrochemical energy storage power grid transient power unbalance index and establishing a time sequence;
in the embodiment, a case is selected as an actual running condition of a power grid connected with electrochemical energy storage for further explanation and analysis, various data required by a transient power unbalance index of the power grid containing electrochemical energy storage are collected, and a corresponding time sequence is established.
Taking a fixed time interval of 5min and measuring times of 8, namely n=8, then at et 1 ,et 2 ,et 3 ,et 4 ,et 5 ,et 6 ,et 7 ,et 8 The measurement data at these 8 moments are as follows:
step 2: normalizing the measured data;
the measurement data according to equation (7) can be obtained, P gf,max And P gf,min The moments et of these 8 fixed time intervals, respectively 1 ,et 2 ,et 3 ,et 4 ,et 5 ,et 6 ,et 7 ,et 8 Maximum and minimum values, P in total output active power measurement values of photovoltaic in internal power grid fd,max And P fd,min The moments of the 8 fixed time intervals respectivelyet 1 ,et 2 ,et 3 ,et 4 ,et 5 ,et 6 ,et 7 ,et 8 Maximum and minimum values, P in total output active power measurement value of wind power in internal power grid hd,max And P hd,min The moments et of these 8 fixed time intervals, respectively 1 ,et 2 ,et 3 ,et 4 ,et 5 ,et 6 ,et 7 ,et 8 Maximum and minimum values, P in total output active power measurement value of thermal power in internal power grid dhx,max And P dhx,min The moments et of these 8 fixed time intervals, respectively 1 ,et 2 ,et 3 ,et 4 ,et 5 ,et 6 ,et 7 ,et 8 Maximum and minimum values in total output active power measurement value of electrochemical energy storage in internal power grid, U xny,max And U xny,min The moments et of these 8 fixed time intervals, respectively 1 ,et 2 ,et 3 ,et 4 ,et 5 ,et 6 ,et 7 ,et 8 Maximum and minimum values of the measured values of the mean value of the internal grid node voltages.
And then carrying out normalization processing on the acquired data according to a formula (3), wherein the result is as follows:
step 3: calculating influence factors of total output active power of electrochemical energy storage in power grid on transient power unbalance index calculation parameter predicted value of power grid containing electrochemical energy storage
In this embodiment, et is calculated as follows 1 ,et 2 ,et 3 ,et 4 ,et 5 ,et 6 ,et 7 ,et 8 The influence factor of the total output active power of the electrochemical energy storage in the power grid at the 8 moments on the predicted value of the transient power unbalance index calculation parameter of the power grid containing the electrochemical energy storage is as follows:
the calculation results are as follows:
step 4: calculate the next time et in future 9 Predicted value of normalized value of total output active power of photovoltaic in power gridPredicted value of normalized value of total output active power of wind power in power grid +.>Predicted value of normalized value of total output active power of thermal power in power grid>Predicted value of normalized value of total output active power of electrochemical energy storage in power grid>And the predicted value of the normalized value of the mean value of the network node voltages +.>
Step 5: calculate the next time et in future 9 Transient power unbalance index of time-containing electrochemical energy storage power grid
If it is calculated according to the formula (11) to obtain the next time et in the future 9 When the transient power unbalance index predicted value of the electrochemical energy storage power grid is smaller than or equal to 0.509, if transient faults occur, the transient power unbalance amount of the power grid is smaller, the power balance capacity of the power grid is stronger, the power generation output power of new energy sources can be improved, the power generation power of thermal power is reduced, and the electrochemical energy storage charge state is reduced; if calculate to get the next time et in future 9 When the predicted value of the transient power unbalance index of the electrochemical energy storage power grid is larger than 0.509, if a transient fault occurs, the transient power unbalance amount of the power grid is larger, the power balance capacity of the power grid is weaker, the power generation output power of a new energy source is reduced, the power generation power of a thermal power is increased, and the charge state of electrochemical energy storage is increased.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.

Claims (6)

1. The method for predicting the transient power unbalance index of the power grid containing the electrochemical energy storage is characterized by comprising the following steps of:
step 1: defining an electrochemical energy storage power grid transient power unbalance index, collecting various data required by the electrochemical energy storage power grid transient power unbalance index and establishing a time sequence;
step 2: normalizing the measured data;
step 3: calculating the total output active power of electrochemical energy storage in the electric network versus transient power unbalance of the electric network containing electrochemical energy storageInfluence factor of number calculation parameter predicted value
Step 4: calculate the next time et in future n+1 Predicted value of normalized value of total output active power of photovoltaic in power gridPredicted value of normalized value of total output active power of wind power in power grid +.>Predicted value of normalized value of total output active power of thermal power in power grid>Predicted value of normalized value of total output active power of electrochemical energy storage in power grid>And the predicted value of the average value normalization value of the power grid node voltage>
Step 5: calculate the next time et in the future according to n+1 Transient power unbalance index of time-containing electrochemical energy storage power gridAccording to the next time et in the future n+1 And the transient power unbalance index predicted value of the electrochemical energy storage power grid is used for controlling the operation control system of the new energy power grid.
2. The method for predicting the transient power unbalance index of the power grid containing electrochemical energy storage according to claim 1, wherein the step 1 is specifically:
defining transient power unbalance index of the electrochemical energy storage power grid:
where n is a natural number, n=1, 2, …, i ε {1,2, …, n }, et 1 ,et 2 ,...,et i ,...,et n At the time of n fixed time intervals,is the et i Photovoltaic total output active power in power grid at moment, < >>Is the et i Wind power total output active power in power grid at moment, < + >>Is the et i Thermal power total output active power in power grid at moment,/->Is the et i Electrochemical energy storage total output active power in power grid at moment, < >>Is the et i Mean value of grid node voltage at moment, P gf,max And P gf,min The moments et at these n fixed time intervals, respectively 1 ,et 2 ,...,et i ,...,et n Maximum and minimum values, P in total output active power measurement values of photovoltaic in internal power grid fd,max And P fd,min The moments et at these n fixed time intervals, respectively 1 ,et 2 ,...,et i ,...,et n Maximum and minimum values, P in total output active power measurement value of wind power in internal power grid hd,max And P hd,min Respectively the n fixed partsTime et of time interval 1 ,et 2 ,...,et i ,...,et n Maximum and minimum values, P in total output active power measurement value of thermal power in internal power grid dhx,max And P dhx,min The times et of the n fixed time intervals respectively 1 ,et 2 ,...,et i ,...,et n Maximum and minimum values in total output active power measurement value of electrochemical energy storage in internal power grid, U xny,max And U xny,min The times et of the n fixed time intervals respectively 1 ,et 2 ,...,et i ,...,et n Maximum and minimum values in the measured values of the voltage average of the internal grid nodes;
establishing a time sequence of various data required by the transient power unbalance index of the electrochemical energy storage power grid:
at time et of n fixed time intervals 1 ,et 2 ,...,et i ,...,et n Measuring to obtain the total output active power of the photovoltaic in the power gridWind power total output active power in power grid>Thermal power total output active power in power grid>Electrochemical energy storage total output active power in power grid>Grid node voltage average ∈ ->And establishes the following time series:
3. the method for predicting the transient power unbalance index of the power grid containing electrochemical energy storage according to claim 1, wherein the step 2 is specifically that the measured data is normalized as follows:
in the method, in the process of the invention,is the et i Normalized value of total output active power of photovoltaic in power grid at moment +.>Is the et i Normalized value of wind power total output active power in power grid at moment +.>Is the et i Normalized value of total output active power of thermal power in power grid at moment +.>Is the et i Normalized value of total output active power of electrochemical energy storage in power grid at moment +.>Is the et i And normalizing the voltage average value of the power grid node at the moment.
4. The method for predicting transient power imbalance index of power grid containing electrochemical energy storage according to claim 1, wherein said step 3 is specifically to calculate the total output active power of electrochemical energy storage in power grid versus transient power of power grid containing electrochemical energy storage according to the following formulaInfluence factor of balance index calculation parameter predicted value
5. The method for predicting transient power unbalance index of an electrochemical-containing power grid according to claim 1, wherein the step 4 is specifically,
in the middle ofFor each item of data et n+1 A predicted value matrix of data normalization values at a moment;
et for each item of data 1 ,et 2 ,...,et i ,...,et n The normalized value data matrix obtained by calculation at the time of the n fixed time intervals;
an influence factor matrix for calculating parameter predictors.
6. The method for predicting transient power unbalance index of a power grid containing electrochemical energy storage according to claim 1, wherein said step 5 is specifically to calculate the next time et in the future according to the following formula n+1 Transient power unbalance index of time-containing electrochemical energy storage power grid
If it is calculated according to the formula (6) to obtain the next time et in the future n+1 When the transient power unbalance index predicted value of the electrochemical energy storage power grid is smaller than or equal to 0.509, if transient faults occur, the transient power unbalance amount of the power grid is smaller, the power balance capacity of the power grid is stronger, the power generation output power of new energy sources is improved, the power generation power of thermal power is reduced, and the electrochemical energy storage charge state is reduced; if calculate to get the next time et in future n+1 When the predicted value of the transient power unbalance index of the electrochemical energy storage power grid is larger than 0.509, if a transient fault occurs, the transient power unbalance amount of the power grid is larger, the power balance capacity of the power grid is weaker, the power generation output power of a new energy source is reduced, the power generation power of a thermal power is increased, and the charge state of electrochemical energy storage is increased.
CN202311483105.2A 2023-11-07 2023-11-07 Transient power unbalance index prediction method for power grid containing electrochemical energy storage Pending CN117477555A (en)

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