An Interval Power Flow Calculation Method Considering Sensitivity Classification and Correlation
A technology of interval power flow and calculation method, applied in the field of power system, can solve problems such as excessive calculation amount and reduce optimization times, and achieve the effect of improving calculation efficiency, reducing nonlinear optimization times, and shortening the overall calculation time.
Active Publication Date: 2022-05-31
FUZHOU UNIV
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[0005] In view of this, the object of the present invention is to provide an interval power flow calculation method that considers sensitivity classification and correlation, uses a parallelogram model to represent the correlation between variables, and solves the problem that the calculation amount of the scene optimization method is too large, by comparing the node voltage For the positive and negative of the sensitivity of the node power, the state variables with the same changing trend are classified and calculated, the number of optimizations is reduced, and the accurate power flow range is obtained more efficiently
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[0082] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0083] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the application. unless otherwise
[0084] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting
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[0101] When X
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[0117] e=(1,1,...,1)
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[0142] Consider the AC power flow equation equation constraints:
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[0145] Considering constant power factor load equation constraints:
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[0148] Consider the upper and lower bound constraints of the interval variable:
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[0151] Consider interval variable correlation constraints:
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The invention relates to a calculation method of interval power flow considering sensitivity classification and correlation, comprising step S1: obtaining power system parameters and interval variable parameters; step S2: constructing a parallelogram model; step S3: calculating deterministic power flow results, and using the As a result, calculate the inverse matrix of the Jacobian matrix of the power flow equation, and obtain the sensitivity matrix of the node voltage to the node injected power; Step S4: By comparing the positive and negative of the elements in each row of the sensitivity matrix, classify the state variables with the same changing trend, and obtain the classification number K; step S5: taking the sum of the classified state variables of the kth category as the objective function, considering the constraints, establishing a nonlinear optimization model for maximizing and minimizing the interval power flow, and solving the model; step S6: if k<K, Set k=k+1, return to step S5; if k≥K, sort out the interval ranges of the voltage amplitudes and phase angles of each node, and output the interval power flow results. The present invention can obtain accurate power flow interval more efficiently.
Description
An Interval Power Flow Calculation Method Considering Sensitivity Classification and Correlation technical field The present invention relates to the technical field of electric power systems, particularly a kind of interval power flow considering sensitivity classification and correlation calculation method. Background technique With the prominence of problems such as energy depletion and environmental degradation, renewable energy power generation represented by wind power has been greatly improved. force development. The output of renewable energy is greatly affected by climate and environmental factors, and has strong randomness and volatility. The operating state of the system brings uncertainty, so it is necessary to carry out the uncertainty power flow calculation for the power system. The interval power flow is to obtain the power flow calculation method of the upper and lower bounds of the power flow variable through the upper and lower bounds of the known ...
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IPC IPC(8): H02J3/00H02J3/06H02J3/46H02J3/48G06F30/20G06K9/62G06F17/11G06F17/16G06F111/04
CPCH02J3/00H02J3/06H02J3/466H02J3/48G06F30/20G06F17/11G06F17/16H02J2203/10H02J2203/20H02J2300/28H02J2300/40G06F2111/04G06F18/24Y04S10/50
Inventor 江岳文陈宇辛
Owner FUZHOU UNIV