Stochastic Risk and Reliability Assessments of Energy Management System in Grid of Microgrids under Uncertainty

Nima Nikmehr, Sajad Najafi-Ravadanegh

Abstract


As various renewable energy resources (RERs) are exploited within microgrids (MGs), some important challenges have
arisen as regards coping with generation fluctuations. This paper proposes a probabilistic method aimed at achieving optimal
coordinated operation in a grid of microgrids under uncertainties of RERs and variable load demand. In the supposed structure
based on networked microgrids (NMGs), a two-level strategy is required for guaranteeing efficient coordination between the
MGs and distribution network operator (DNO). Another contribution of the paper deals with the flexibility of NMGs in improving
the reliability of the whole system. Additionally, the value at risk (VaR) calculations for output results are carried out for different
confidence levels with two important methods. In sum, the aim of the paper is to minimize total energy costs considering the
environmental effects. To achieve this purpose, the Imperialist Competitive Algorithm (ICA) as a heuristic algorithm is applied
to solve the optimal power dispatch problem and the obtained results are compared using the Monte Carlo Simulation (MCS)
method. As the input data are modeled under uncertainties, the output results are described with probability distribution
function (PDF).


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