Distributed-power-source-contained power distribution network reactive power optimization method based on mixed integer cone optimization

Abstract

The invention provides a distributed-power-source-contained power distribution network reactive power optimization method based on mixed integer cone optimization. According to the probability density function of wind speed, the output power characteristics and the random outage rate of a draught fan, the probability density function of the output power of the draught fan is derived, and the multi-state discrete probability model of the output of the draught fan is established; according to the network topology, the line parameters, the node load level, the injected wind turbine generator capacity, the reference voltage and the reference power of a power distribution network, a power distribution network branch tide equation is established, and second-order cone relaxation processing is carried out on the tide equation; the economic benefits brought by installing a capacitor serve as an objective function of reactive power optimization, tide second order cone relaxation equation constraints, voltage constraints and capacitor capacity constraints are taken into consideration, and a power distribution network reactive power optimization model with intermittent energy is established. According to the distributed-power-source-contained power distribution network reactive power optimization method based on mixed integer cone optimization, the optimizing capacity is high, it is guaranteed that the obtained solution is optimal, and practicability is high.

Description

technical field [0001] The invention provides an optimal configuration method for reactive power compensation capacitors of distribution networks based on mixed integer second-order cone optimization considering the influence of randomness of intermittent distributed power supply output. Background technique [0002] In recent years, in response to the challenges of energy, environmental protection and climate change, low-carbon renewable energy has been vigorously developed, and the direct connection of new energy to the distribution network in the form of distributed power is the future development trend. The distribution network is a power grid that sends electric energy to the user side directly or after step-down. It is extremely important to study the system structure and operation after a large number of distributed power sources are connected. Due to the randomness and volatility of wind and light resources, when large-scale wind power and photovoltaics are connected...

AI Technical Summary

Problems solved by technology

However, in the patent [Determining the optimal access capacity of distributed power generation in distribution network based on cone optimization], the optimal power flow equation is solved based on the cone optimization algorithm, and the optimal configuration model of intermittent power in the distribution network is proposed, and the nonlinear power flow The equations are transformed into a linear optimization problem in the rotating cone space, and the efficiency of the algorithm is improved, but the random fluctuation characteristics of the intermittent power output are not considered in the model

Images