A biased load manager home energy management system for low-cost residential building low-income occupants

作者：Monyei Chukwuka G^*; Adewumi Aderemi O; Akinyele Daniel; Babatunde Olubayo M; Obolo Michael O; Onunwor Joshua C

来源：Energy, 2018, 150: 822-838.

DOI：10.1016/j.energy.2018.03.016

• Low-cost residential buildings
• BLM-HEMS
• Hopping algorithm
• Consumer comfort
• Return on investment
• Carbon footprint

This research paper presents the development of a biased load manager home energy management system for low-cost residential building occupants. As a smart grid framework, the proposed load manager coordinates the operation of the inverter system of a low cost residential apartment consisting of rooftop solar photovoltaic panels, converter and battery, and provides a platform for discriminating residential loads into on-grid and off-grid supply classes while maximizing solar irradiance for optimum battery charging and improving consumer comfort from base levels. Modelled in a Matlab simulation environment, the system incorporates a converter system for maximum power point tracking using a hopping algorithm, with a dedicated mechanism for smart dispatch of specified loads to meet the users' comfort based on the priority ranking of the loads. Results obtained indicate a 34% reduction in electricity cost, 26% reduction in carbon emissions and a 4% increase in comfort level for the photovoltaic/battery/utility option compared to the utility only option. The results further show that cost is a major factor affecting the users' comfort and not necessarily dispatch of appliances to meet energy needs. The research can be useful for encouraging the adoption of the photovoltaic/battery/utility option by low/middle income energy users in developing countries.

• 出版日期2018-5-1