Multi Objective Optimization in Charge Management of Micro Grid Based Multistory Carpark

Abstract

Distributed power supply with the use of renewable energy sources and intelligent energy flow management has undoubtedly become one of the pressing trends in modern power engineering, which also inspired researchers from other fields to contribute to the topic. There are several kinds of micro grid platforms, each facing its own challenges and thus making the problem purely multi objective. In this paper, an evolutionary driven algorithm is applied and evaluated on a real platform represented by a private multistory carpark equipped with photovoltaic solar panels and several battery packs. The algorithm works as a core of an adaptive charge management system based on predicted conditions represented by estimated electric load and production in the future hours. The outcome of the paper is a comparison of the optimized and unoptimized charge management on three different battery setups proving that optimization may often outperform a battery setup with larger capacity in several criteria.

A Study of Self-Powered Robotic Parking Lots in Inhabited Areas

“…Nowadays, vehicle parking is a problem in a number of global urban agglomerations; on the other hand, the demand (developers and municipalities) for the implementation of projects in accordance with the Smart City concept is growing [1,2]. The solutions discussed in the Czech Republic and in the Moravian-Silesian Region, respectively, are aimed at constructing new car parks in brown fields, or the use of existing built-up areas, or their extension to parking spaces, especially in densely populated areas, typically in urban housing estates [1,3]. The presented solution of the study is in accordance with this concept (as well as in accordance with the concept of Industry 4.0) and enables an increase in the concentration of the number of cars (including electric cars) on the minimum area [4].…”