Abstract:
Disclosed are a method and a device for determining safe threshold for power grid voltage of a wind farm converging area, The method includes: obtaining ground state voltage; obtaining upper and lower limit voltage of the output bus, first lower and upper limit of reactive powers of fans and compensation devices, and lower and upper limit of active power fluctuations; obtaining second lower and upper limit of reactive powers of fans and compensation devices; determining whether voltage error is greater than a predetermined threshold; replacing the first lower and upper limit of the reactive powers of fans and the reactive powers of compensation devices with the second lower and upper limit of reactive powers of fans and compensation devices respectively, and repeating above steps if the voltage error is greater than the predetermined threshold, else defining the upper and lower limit voltage of the output bus as a safe threshold.
Abstract:
A method and a device for identifying a feasibility of a transmission interface constraint in an online rolling dispatching are provided. The method comprises: S1, establishing an online rolling dispatching model including a transmission interface constraint; S2, establishing a Lagrangian relaxation dual problem of the online rolling dispatching model; and S3, identifying a feasibility of the transmission interface constraint by solving the Lagrangian relaxation dual problem.
Abstract:
A static security constrained automatic voltage control method is provided, which includes: performing a single automatic voltage control calculation for a control snapshot of a power system in each control cycle. The single automatic voltage control calculation comprises: obtaining a single-time severe contingency sequencing table and a periodical severe contingency sequencing table from a historical severe contingency information database, and selecting severe contingencies; performing a contingency assessment for the active contingency set, and iterating between a result of the contingency assessment for the active contingency set and a solution of the optimal power flow model to obtain a single automatic voltage control instruction; and performing a contingency assessment for a contingency set, and updating the single-time severe contingency sequencing table and the periodical severe contingency sequencing table according to a comprehensive result of the contingency assessment.
Abstract:
The disclosure provides a method for planning a power distribution network, an apparatus for planning a power distribution network, and a storage medium. The method includes: establishing a model for planning the power distribution network, the model including a target function and constraints, the target function for minimizing a cost of the power distribution network when branches and nodes are installed into the power distribution network, the nodes including transformers and substations, the constraints including a power balance constraint of the power distribution network, a power constraint of the branches, a power constraint of the transformers, a radial operation constraint of the power distribution network, a fault constraint, a calculation constraint of indices of a reliability, a constraint of the indices of the reliability, and a logic constraint; and solving the model to determine whether the branches and the nodes are installed into the power distribution network.
Abstract:
The present disclosure provides a method and a device for solving an optimal power flow in a power supply system. A second convex model of the optimal power flow is established. A relaxation variant sum e according to the second convex model is determined. It is judged whether the relaxation variant sum e is greater than a preset threshold. If the relaxation variant sum e is greater than the preset threshold, the second convex model of the optimal power flow is established. If the relaxation variant sum e is not greater than the preset threshold, the solution of the second convex optimal model is determined as a feasible solution of the optimal model of the optimal power flow.
Abstract:
The present disclosure provides a method and a device for controlling an active distribution network, relating to the field of power system operation and control technology. The method includes: creating a power loss objective function; determining first power flow equations; obtaining second power flow equations by performing linearization on the first power flow equations; determining a sub-scale adjustment model of a transformer; obtaining a linearized model of the transformer by performing linearization on the sub-scale adjustment model; obtaining control parameters by solving the power loss objective function according to the second power flow equations, the linearized model of the transformer, an operation constraint of the continuous reactive power compensator, an operation constraint of the grouping switching capacitor, an operation constraint of the distributed generator and a safety operation constraint in the active distribution network, such that the active distribution network is controlled by the obtained parameters to minimize power loss.
Abstract:
A method and apparatus for controlling a reactive power of a generator in a power plant are provided. The method includes: S1, dividing a plurality of power plants into a plurality of plant-plant coordination groups; S2, dividing generators into a first generator and a second generator set; S3, calculating a deviation between a measured voltage and a preset voltage of a central bus; S4, comparing the deviation with a control dead band threshold; S5, establishing a reactive power tracking model if the deviation is greater than the control dead band threshold; S6, establishing a reactive power keeping model; and S7, obtaining sum reactive power adjustments of the generators according to the first reactive power adjustments and the second reactive power adjustments, and obtaining voltage adjustments of buses according to the sum reactive power adjustments.
Abstract:
A voltage control method and apparatus of a central bus in a power system are provided. The method comprises: S1: obtaining a predetermined voltage and a current voltage; S2: obtaining a first voltage adjustment of the generator and a second voltage adjustment of the dynamic reactive power compensation device; S3: sending the first voltage adjustment and the second voltage adjustment; S4: judging whether a current reactive power of the dynamic reactive power compensation device is between a first predetermined reactive power and a second predetermined reactive power; S5: if yes, obtaining a third voltage adjustment of the generator and a fourth voltage adjustment of the dynamic reactive power compensation device; S6: sending the third voltage adjustment and the fourth voltage adjustment; repeating steps S1-S7 after a predetermined period of time; S7: if no, repeating steps S1-S7 after the predetermined period of time.
Abstract:
The present disclosure relates to a method and an apparatus for controlling a voltage in a near direct current area. The method includes: collecting measured values of parameters as initial values of prediction values of the parameters; inputting the initial values into a preset control model for optimizing a model predictive control; solving the preset control model to obtain a solution sequence of the terminal voltage setting values of the generators participating in the voltage control within a time window; and sending first values in the solution sequence to the generators, such that the voltage control in the near direct current area is realized.
Abstract:
Method and system for charging electric vehicles in an aggregation is provided. The method includes: obtaining a plurality of first charge power curves of a plurality of electric vehicles in the aggregation; obtaining a coordinating information of each of the plurality of electric vehicles from the plurality of first charge power curves; obtaining a first feedback charge power curve of each of the plurality of electric vehicles from the coordinating information and a charging cost curve of each of the plurality of electric vehicles; judging whether the first feedback charge power curve is same with the first charge power curve of each of the plurality of electric vehicles; if yes, charging each of the plurality of electric vehicles in accordance with the first charge power curve.