02-03-2017, 10:08 AM
With the increasing penetration levels of wind generators in modern electric systems one of the main challenges in the present and future years is optimization control, such as optimum flow of energy, including wind farms. The power flow model for a fixed speed wind generator (FSWG) and a variable speed wind generator system (VSWG) are respectively treated. It adopts the expectation model of the active powers of the wind turbines. Dynamic Optimal Power Flow (DOPF) is a typical multi-constrained non-convex nonlinear programming problem in the integrated wind power system when considering the valve point effect of conventional generators. Moreover, it is integer mixed when considering the discreteness of FSWG reactive compensation devices. DOPF model is established in this document and then a new shuffled frog jump algorithm (SFLA) is proposed to solve the DOPF model set. In accordance with the principle of the closest reactive power compensation, the required reactive power of FSWG does not absorb from the system as much as possible, but mainly from its reactive compensation devices. An improved IEEE 30-bus system is used to illustrate the effectiveness of the proposed method compared to those obtained from the Particle Swarm Optimization (PSO) algorithm. The test results show that the proposed method is effective and has some practicality.