Estimation method for new-energy-containing power distribution network state based on intelligent optimization technology

Abstract

The invention discloses an estimation method for a new-energy-containing power distribution network state based on the intelligent optimization technology. The estimation method can conduct online real-time estimation on an operation state of a non-linear dispersing power distribution network. An average output value of active power and load power of renewable sources based on distributed generations (REDGs) is estimated in real time according to a measured value of the active power and the load power of input REDGs. The estimation method combines the advantage of a quantum-inspired evolutionary algorithm (QIEA) in an intelligent optimization algorithm of being good in global optimization capacity and high in rate of convergence and the advantage of a greedy randomized adaptive search procedure (GRASP) of being good in local search capacity, and a mixed QIEA (mQIEA) is provided. The average output value of the active power and the load power of the (REDGs) is estimated in real time according to the measured value of the active power and the load power of the input REDGs, and a system can effectively monitor the system operation state conveniently.

Description

technical field [0001] The invention relates to a method for estimating the state of a distribution network containing new energy based on intelligent optimization technology, and belongs to the technical field of power system operation and control. Background technique [0002] With the continuous development of smart grid technology and the access of a large number of renewable energy distributed generation (Renewable Sources based Distributed Generations, REDGs), distribution network state estimation in the distribution energy management center (Distribution Energy Management System, DEMS) status is becoming more and more important. Distribution network state estimation can accurately obtain the operating state of the system, and then help system operators to better complete network reconfiguration, optimal scheduling and system security assessment. In addition, distribution network state estimation can provide a reliable and complete real-time database of the power syst...

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Problems solved by technology

Due to the nonlinearity of the voltage controller, static var compensation and REDGs, and the existence of discrete operating equipment, the objective function is non-differentiable and discrete, and the traditional state estimation method is generally solved by Newton or interior point method. But these nonlinear optimization methods are easy to fall into the local optimal solution, that is, it is difficult to obtain the global optimal solution, especially some robust state estimation; in order to obtain an acceptable solution, it must go through multiple iterations, and these nonlinear problems have Sometimes it is difficult to converge, or even not converged, and the solution is very time-consuming

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