Abstract
This paper deals with a multiobjective daily volt/var control (MDVVC) for radial distribution feeders integrated renewable energy sources (RES) by means of the tap position of the under load tap changer (ULTC) transformers, shunt capacitors, and active and reactive power of RES. The multiple objective functions to be minimized are the electrical energy losses, the voltage deviations, and the total emissions of RES and substations. Discrete behavior of equipments in the distribution systems and nonlinear power flow equations change the VVC problem into a mixed integer non-linear programming (MINLP). Hence, a new optimization method based upon the shuffled frog leaping algorithm (SFLA) is presented to solve the optimization problem. The SFLA is modified for resolving the disadvantages of the original algorithm. Besides of accurately passing local optima, the MSFLA takes less time to achieve the optimal response. Furthermore, the tribe-MSFLA is proposed through using the concept of the tribe. Dealing with the multiobjective optimization problem, an interactive fuzzy satisfying method is used while the objective functions are formulated by a fuzzy set theory. An 85-bus radial distribution system is used to test and assess the performance of the proposed algorithm.
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