A Reactive Power Optimization Method for Regional Power Grid Based on Limit Power Flow

Abstract

The invention discloses a reactive power optimization method for a regional power grid based on limit power flow, which includes: collecting power information of the regional power grid for power flow calculation, and obtaining a power flow calculation result; obtaining a voltage deviation rate and a gateway power factor according to the power flow calculation result; determining The weight coefficient of the voltage deviation rate and the gate power factor, and obtain the weighted sum of the voltage deviation rate and the weight coefficient of the gate power factor; judge whether the weighted sum is greater than the engineering threshold. The present invention can adapt to the reactive power allocation requirements under different load modes, and adopts the PQ-PV node type conversion mode and the mode of relaxing the transformer stall constraint according to the characteristics of the feasible domain of the optimization problem under different load modes, and then expands the reactive power configuration, etc. The optimization space of the problem ensures that the reactive power configuration of the power system can fully meet the load demand in theory.

Description

technical field [0001] The invention relates to the technical field of reactive power control in electric power systems, in particular to a reactive power optimization method for regional power grids based on limit current flow. Background technique [0002] With the rapid development of power grid construction, the coverage of the power grid is continuously expanding, and the structure is becoming more and more complex. The stability, safety and reliability of the power grid operation have become more important. At present, although the power dispatching, automation department, relay protection, operation and maintenance, communication and other departments of the power supply company perform their duties, they also need to work together. Timely and accurate acquisition of relevant power grid operation information can greatly improve their work efficiency. At the same time, all departments can play Advantages in their respective professional fields, better cooperation with ...

AI Technical Summary

Problems solved by technology

[0004] At present, under the requirements of provincial and regional integrated coordinated control, the power factor of the high-voltage side of the main transformer in the regional power grid is generally low, and the capacity of the parallel reactive power compensation equipment does not match the system requirements, resulting in a low voltage qualification rate, transmission, The power loss in the distribution network is serious, which brings challenges to the operation safety and service life of the equipment

According to the current research process and operation experience at home and abroad, the problem of reactive power optimization is summarized, which mainly includes two aspects: 1) The existing reactive power configuration can meet the needs of the system or the system is in a small load mode, the transformer gear limit and the capacitor The limitation of switching and cutting times further limits the feasible region, but there is always an optimal solution. If the optimization method is not selected properly, only a suboptimal solution may be found; 2) The existing reactive power configuration cannot meet the load demand at all or the system is under load. In the large mode, the optimal solution is not within the feasible region under the cooperation of existing parameters, so the result of optimization is often a boundary value, and the system voltage or reactive power exceeds the limit seriously.

[0005] For problem 1) domestic and foreign scholars have proposed various improved algorithms, such as genetic algorithm, hybrid algorithm based on genetic algorithm and interior point method, primal-dual interior point method, etc., which can better solve the problems of calculation accuracy and convergence, but The amount of calculation is large and the complexity is high, and its application in large-scale power grids needs further research; for problem 2) the existing reactive power optimization cannot solve the problem. For regional power grids, reactive power planning is relatively conservative and cannot be used for system operation. Provide a more economical and secure physical basis

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