New smart home energy management systems based on inclining block-rate pricing scheme

Abstract

There are wide applications of block-rate pricing schemes in many countries. However, there are no significant studies that apply this common tariff for smart home energy management systems. In this paper, a three-time-frame energy management scheme has been proposed for photovoltaic (PV)-powered grid-connected smart homes based on the well-known mixed-integer linear programming optimization technique. This paper provides three original and novel smart home energy management algorithms that depend on the most common residential tariff specifically in developing countries. Three different management concepts have been studied for a typical Egyptian house. The concepts of shifting load, vehicle-to-home and reducing air conditioning have been tested according to a commonly applied slab tariff. The proposed scheme considers the home battery extending lifetime constraints. It also preserves comfortable lifestyle limits for home users according to Arab housing climatic conditions and culture. Moreover, the economic feasibility of integrated PV modules for the studied home has been verified according to the Egyptian tariff. The proposed energy management scheme of PV-powered home reduces the electrical power bill significantly in a wide range from 61% to only 19% of the default case bill according to the applied management technique.

A comparative study of advanced evolutionary algorithms for optimizing microgrid performance under dynamic pricing conditions

“…The associated costs for electricity transactions in this microgrid scenario are as follows: purchasing electricity from the utility grid costs 0.20 $/kWh from midnight to 8 a.m., 0.50 $/kWh from 8 a.m. to 4 p.m., and 0.30 $/kWh from 4 p.m. to midnight, while selling electricity back to the utility is priced at 0.06685 $/kWh 45 . Additionally, Fig.…”

Assessing Photovoltaic Power Uncertainty in Low-income Smart Home Energy Management using Geographic Information Systems Data

“…In [71], a three-timeframes SHEMS was proposed to suit developing countries' IBR tariff, as shown in Fig. 7.…”

“…It also coordinated home battery charge/discharge processes to maximize the economic bene ts and extend the battery lifetime. [71] discussed only weekly/daily load scheduling based on the well-known Mixed Integer Linear Programing MILP technique.…”