Abstract
This paper proposes a management strategy for the daily operation of an isolated hybrid energy system (HES) using heuristic techniques. Incorporation of heuristic techniques to the optimal scheduling in day-head basis allows us to consider the complex characteristics of a specific battery energy storage system (BESS) and the associated electronic converter efficiency. The proposed approach can determine the discharging time to perform the load peak-shaving in an appropriate manner. A recently proposed version of binary particle swarm optimization (BPSO), which incorporates a time-varying mirrored S-shaped (TVMS) transfer function, is proposed for day-ahead scheduling determination. Day-ahead operation and greenhouse gas (GHG) emissions are studied through different operating conditions. The complexity of the optimization problem depends on the available wind resource and its relationship with load profile. In this regard, TVMS-BPSO has important capabilities for global exploration and local exploitation, which makes it a powerful technique able to provide a high-quality solution comparable to that obtained from a genetic algorithm.
Highlights
Global warming and other environmental problems are driving the adoption of renewable energy sources at the residential, commercial, and industrial levels
As can be observed from the presented literature review, a vast family of methodologies has been created, some of them based on heuristic techniques such as genetic algorithm (GA) and particle swarm optimization (PSO), another group inspired by dynamic programming (DP), and most of them based on mixed integer linear programming (MILP) combined with Benders decomposition
The results obtained from the analysis of the aforementioned cases offer us important lessons about the mitigation of greenhouse gas (GHG) emissions by integrating a battery energy storage system (BESS) managed from a purely economic
Summary
Global warming and other environmental problems are driving the adoption of renewable energy sources at the residential, commercial, and industrial levels. In the case of energy provision for an isolated hybrid energy system (HES), incorporation of BESS becomes profitable due to the fact that the fuel consumption and operating hours of a conventional generator are considerably reduced. A cycle charging strategy forces conventional generator to operate at its rating power when needed to charge BESS with the remaining energy, so this strategy is frequently implemented when renewable generation is limited [10]. It is important to mention that these strategies do not require any forecast of renewable generation or load demand They are very effective in the management of HES of small scale used on rural electrification projects.
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