Abstract
Energy distribution technique is an essential obligation of an intelligent household system to assure optimal and economical operation. This paper considers a small-scale household system detached from the power grids consisting of some electrical components in day-to-day life. Optimal power distribution generated from a photovoltaic system is vital for ensuring economic and uninterrupted power flow. This paper presents an optimal energy distribution technique for a small-scale smart household system to ensure uninterrupted and economical operation. A photovoltaic (PV) system is considered as the primary generation system, and a battery energy storage system (BESS) is viewed as a backup power supply source. The actual load and PV generation data are used to validate the proposed technique collected from the test household system. Two different load profiles and photovoltaic power generation scenarios, namely summer and winter scenarios, are considered for case studies in this research. An actual test household system is designed in MATLAB/Simulink software for analyzing the proposed technique. The result reveals the effectiveness of the proposed technique, which can distribute the generated power and utilize the BESS unit to ensure the optimal operation. An economic analysis is conducted for the household system to determine the economic feasibility. The capital investment of the system can be returned within around 5.67 years, and the net profit of the system is 2.53 times more than the total capital investment of the system. The proposed technique can ensure economical operation, reducing the overall operating cost and ensuring an environment-friendly power system. The developed strategy can be implemented in a small-scale detached interconnected smart household system for practical operation to distribute the generated energy optimally and economically.
Highlights
Global energy use has increased dramatically in recent decades, resulting in huge increases in air pollution
Case studies were conducted through MATLAB/Simulink environment with actual data which were collected from test household system
The optimal energy distribution is an important factor for a small-scale smart household system to assure an uninterrupted and economic operation
Summary
Global energy use has increased dramatically in recent decades, resulting in huge increases in air pollution. The increasing cost of fossil fuels and their dwindling supply have led industry researchers and engineers to examine and suggest a more sustainable energy resource alternative [1,2]. Household energy demand consumes more than a third of the total primary energy supply [5]. In this regard, a cost-effective energy management approach for households is urgently needed to meet sustainable long-term requirements [6]. As PV output is affected by weather, home PV systems are commonly combined with a stationary battery as an ESS to optimize the use of surplus energy. Loads and energy resources must be forecasted in advance for these researches; the efficiency of optimal techniques is largely determined by the accuracy of prediction models. Computation times for these optimal home energy management systems (HEMSs) can potentially be much longer, especially when applying multiple constraints and shorter sample intervals
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