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Bundled Generation and Transmission Planning Under Demand and Wind Generation Uncertainty Based on a Combination of Robust and Stochastic Optimization
Baharvandi, Arash; Aghaei, Jamshid; Niknam, Taher; Shafie-Khah, Miadreza; Godina, Radu; Catalao, Joao PS (Journal article; Peer reviewed, 2018)Bundled generation and transmission expansion planning (BGTEP) aims to solve problems related to ascendant demand of power systems. A BGTEP model is considered in this paper and the optimal planning for a long-term period ... -
Fast Decomposed Energy Flow in Large-Scale Integrated Electricity-Gas-Heat Energy Systems
Massrur, Hamid Reza; Niknam, Taher; Aghaei, Jamshid; Shafie-Khah, Miadreza; Catalao, Joao PS (Journal article; Peer reviewed, 2018)In this paper, a new decomposing strategy is proposed to solve the power flow problem in the large-scale multienergy carrier (MEC) systems, including gas, electrical, and heating subnetworks. This strategy has been equipped ... -
Probabilistic Load Forecasting Using an Improved Wavelet Neural Network Trained by Generalized Extreme Learning Machine
Rafiei, Mehdi; Niknam, Taher; Aghaei, Jamshid; Shafie-Khah, Miadreza; Catalao, Joao PS (Journal article; Peer reviewed, 2018)Competitive transactions resulting from recent restructuring of the electricity market, have made achieving a precise and reliable load forecasting, especially probabilistic load forecasting, an important topic. Hence, ...