Power distribution network intelligent soft switch operation optimization method with simultaneous consideration of switch motion

Abstract

Provided is a power distribution network intelligent soft switch operation optimization method with simultaneous consideration of switch motion. According to a power distribution system, connection relation of circuit parameters, load level and network topology, system operation voltage level and branch current restriction, distributed power supply connection position, type, capacity and parameters, intelligent soft switch connection position, capacity and parameters, load and distributed power supply operation characteristic prediction curves in an operation optimization cycle, a system reference voltage and a reference power initial value are input; a sequential optimization model of cooperation operation of a power distribution network connection switch and an intelligent soft switch is established; conic model conversion of an object function and non-linear constraints in the sequential optimization model of cooperation operation of the power distribution network connection switch and the intelligent soft switch is carried out according to a conic optimization standard form; linearization of the object function is carried out, the non-linear constraints are converted into linear constraints, second order cone constraints or rotary cone constraints, and solving of the obtained mathematic model is carried out through a CPLEX solver. The provided method avoids tedious iteration and a lot of tests.

Description

technical field [0001] The invention relates to a timing optimization method for distribution network operation. In particular, it relates to a distribution network intelligent soft switching operation optimization method that considers switching action at the same time. Background technique [0002] The high attention to energy and environment makes the development of distribution network face new pressures and challenges. These pressures and challenges are also opportunities to promote the development of traditional distribution network to smart distribution network. In the smart distribution network, the number of controllable devices is increasing, the network structure and operation mode are more flexible and changeable, advanced distribution automation technology and advanced information communication technology are widely used, distributed power supply, energy storage, demand-side resources, etc. Participate in the operation and optimization of distribution network. ...

AI Technical Summary

Problems solved by technology

[0006] Although the above methods or technologies have certain applications, they also have obvious shortcomings. For example, although the traditional mathematical optimization method can theoretically perform global optimization, it inevitably has the problem of "curse of dimensionality" in practical application. Computing time often shows an explosive surge; heuristic algorithms require a polynomial time bound in terms of time complexity, and the calculation speed is fast, but the optimal solution obtained either lacks the optimality in the mathematical sense or is only a local optimal solution; although The final solution searched by the stochastic optimization method has nothing to do with the initial solution, but for distribution networks of different scales, it is necessary to reset its control parameters, number of populations, number of iterations, etc., so as to ensure a greater probability of finding the global optimal solution

Heuristic and stochastic methods are mostly suitable for solving integer programming problems, but for distribution network timing optimization problems considering the coordinated operation of tie switches and SNOPs, mathematics is essentially a large-scale mixed integer nonlinear programming problem, so traditional mathematical optimization methods, heuristics For solving such problems, the speed or accuracy of the formula algorithm cannot meet the requirements at the same time.

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