Document Type : Original Article

Author

Department of Electrical Engineering, Northeastern University, Boston, MA, USA

Abstract

The off-grid electricity production is a method of supplying energy to commercial, industrial, residential, and rural or remote regions, which is often the grid connecting is unfeasible because of its difficult regional location and the staggering transmitting cost. In cases like this, the application of local energy help to develop these regions. However, there is always need to a diesel generator to increase the electricity reliability. Hence, in the new method, diesel generators (DG) are coupled with renewable energy techniques like solar photovoltaics which may also use an energy storage system (ESS). The main idea in this paper is to propose a new optimum form for a hybrid battery/PV/diesel generator/ energy storage tool to resolve the load demand in a distant region in Changsha of China. Three main objectives are considered for minimization: annualized system cost, load probability loss, and value of CO2 emissions. To reduce the complexity of the system, ε-constraint technique is used. Here, a new modified bio-inspired algorithm, which is Chaotic Thermal Exchange Optimization algorithm is also applied to solve the optimization problem. Simulation achievements of the proposed system were put in comparison with the achievements of two latest methods to indicate the method effectiveness. The achievements indicated that the total production for the suggested method, PSO-based method, and HOMER are achieved 44051 kWh/yr, 44532 kWh/yr, and 43560 kWh/yr, respectively.

Keywords

Simoes R. A New Optimization Approach for Modifying an Off-Grid Hybrid PV/DG/Battery System: A Case Study. J. Journal of Smart Energy and Sustainability, 2022; 1(2): 147-165. 

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