Reactive Power Optimization In Distribution Networks With High Penetration Of Renewable Energy Based On Second-Order Cone Programming

Abstract

With the reduction of fossil energy, new energy power generation has become a new trend and is becoming more and more popular. Although it can effectively alleviate the resource problems of the grid, at the same time due to its own randomness and volatility, it will bring instability problems such as voltage flicker to the grid. Therefore, after new energy is connected to the grid, how to coordinate with the grid to respond to situations such as new energy fluctuations and load fluctuations, and participate in reactive power optimization together, is a problem worthy of study. In this paper, experiments are carried out on IEEE33 examples. Select static var compensator and doubly-fed wind generator as reactive power regulation equipment, take minimum network loss and minimum voltage offset as the comprehensive objective function. The power optimization problem is solved under the requirements of voltage and current constraints, power flow constraints, and equipment operation reactive power constraints. This paper introduces a second-order cone optimization method to convert the original power flow model into a second-order cone programming problem. This article divides four scenarios according to the equipment access and the different goals to carry out the test respectively. Through the comparison of the network loss and the voltage deviation, it is proved that the new energy can promote the reactive power optimization after the it is connected to the grid, and the second-order cone programming algorithm is verified its effectiveness and superiority in the reactive power optimization.