Multi-period Voltage Optimization of Active Distribution Network with Distributed Power

Abstract

A two-stage voltage optimization model is established for the distribution network which includes distributed power and takes into the daily load curve and the photovoltaic generation daily curve. In the first stage, the minimum objective function has the lowest cost of daily network losses and the minimum voltage deviation. Meanwhile, an improved NSGA2 algorithm is used to obtain a daily motions’ combination of voltage regulators and capacitor banks. In the second stage, in order to minimize the daily operation costs of the equipments, and integrate the goals of the first stage, multi-attribute fuzzy decision is used to obtain the optimal combination of the regulators and capacitor banks within 24h. Finally, the improved IEEE33 example simulations verify the effectiveness of the proposed voltage optimization method.