This paper proposes a novel single objective optimization technique for economic dispatch (ED) in power grids. This new technique is developed based on firework algorithm (FWA) and is implemented in the IEEE 24 bus reliability test system. In this paper, the single-objective enhanced fireworks (EFWA) is developed to find the economic operating condition to minimize the generation cost. This method is a swarm intelligence algorithm that solves a single-objective optimization problem much faster than other well-known algorithms such as genetic algorithm (GA). The experimental results show that the proposed EFWA method is indeed capable of obtaining higher quality solutions efficiently in ED problems.
In this paper, optimal scheduling of home appliancesas well as dispatchable distributed generators are determinedwithin a residential microgrid for a specific day. In this regard,stochastic nature of non-dispatchable distributed generators suchas wind and solar is modeled taking advantages of Markov model.Also, there are other uncertainties in the model stem from time offailure as well as duration of failure in the upstream grid which istaken into account in the problem formulation. The effectivenessof the proposed method is shown by minimizing cost of providingcustomers with electricity in a residential microgrid.
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