期刊名称：Bulletin of the Institute of Heat Engineering
印刷版ISSN：2083-4187
出版年度：2017
卷号：97
期号：3
页码：179-189
语种：English
出版社：Warsaw University of Technology
摘要：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).
其他摘要：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).
关键词：Smart grids; power systems operation; renewable energy
