An optimal energy management system for a commercial building with renewable energy generation under real-time electricity prices. (August 2018)

• Record Type: Journal Article
• Authors: Mbungu, Nsilulu T.; Bansal, Ramesh C.; Naidoo, R.; Miranda, V.; Bipath, M.
• Is Part Of: Sustainable cities and society. Volume 41(2018)
• Page Start: 392
• Page End: 404
• Publication Date: 2018-08
• Subjects: Battery bank -- Energy management -- Model predictive control -- Photovoltaic -- Smart grid -- Time-of-use tariff; Sustainable urban development -- Periodicals; Sustainable buildings -- Periodicals; Urban ecology (Sociology) -- Periodicals; 307.76
• DOI: 10.1016/j.scs.2018.05.049
• Languages: English
• ISSNs: 2210-6707

Abstract

Highlights: Develops a real-time electricity pricing structure in conjunction with TOU electricity tariff. Develops an adaptive strategy in the framework of the smart grid using MPC design. Develops a new approach to optimization of the cost of energy in real-time electricity pricing environment. Designs an optimal strategy for integrating PV with battery storage to the grid in real-time electricity pricing scheme. Gives the consumer an opportunity to deal with the cost of electricity usage. Abstract: This paper presents an approach to the energy management and control of the effective cost of energy in real-time electricity pricing environment. The strategy aims to optimise the overall energy flow in the electrical system that minimises the cost of power consumption from the grid. To substantiate these claims different cases of time-of-use (TOU) and renewable energy electricity tariff, i.e. in summer and winter seasons, and the robustness of system is analysed. A given energy demand for commercial usage in the city of Tshwane (South Africa) is used to investigate the behaviour of the designed method during low and high demand periods. As grid integrated renewable energy resources, photovoltaic (PV) is an important consideration in assuring excellent power supply and environmental issues in the commercial building. An adaptive optimal approach in the framework of model predictive control (MPC) is designed to coordinate the energy flow on the electrical system. The results show that the proposed adaptive MPC strategy can promote the new approach of an optimal electrical system design, which reduces the energy cost to pay the utility grid by about 46% or more depending on the set target.