Papers by Mojtaba Madadkhani
Deterministic-Based Energy Procurement
Robust Energy Procurement of Large Electricity Consumers, 2018
In this chapter, the deterministic-based energy procurement problem of a large consumer is solved... more In this chapter, the deterministic-based energy procurement problem of a large consumer is solved considering the six alternative power sources including bilateral contracts, pool market, wind turbine, photovoltaic system, self-generating units, and energy storage systems in the presence of the time-of-use rate of demand response program. The objective function and constraints are defined to minimize the total power procurement cost. The power price in the pool market is considered as predetermined values to get deterministic results. The time-of-use rate of demand response programs, as an effective way to reduce procurement cost, is implemented to decrease the total power procurement cost. In order to investigate the impact of demand response program, the problem is solved in two discrete case studies as without and with considering demand response program. The problem is formulated as a mixed-integer linear programming and solved by the CPLEX solver under GAMS optimization software. Obtained results in this section can be used as input to some uncertainty modeling methods to investigate the uncertainty of power price in the market, load demand, or any other uncertainty in the problem.
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2018
In the recent years, the energy issue is known as one of the main entries for economic and social... more In the recent years, the energy issue is known as one of the main entries for economic and social development of human. So the biomass fuels as one of the approaches for supplying energy become the attractive topic for investigation. The higher heating value (HHV) is a key parameter for evaluation of energy of biomasses; so in the present study, a novel work was done to predict HHV as a function of ultimate analysis by utilization of multi-layer perceptron artificial neural network (MLP-ANN). To this end, a total number of 78 actual data were extracted from reliable references for training and validation of the model. The predicted HHVs were compared with the experimental data graphically and statistically, and the obtained results expressed that the MLP-ANN has a great potential for estimation of HHV of biomasses; so this approach can be used as a simple and accurate tool for forecasting HHV in terms of ultimate analysis. Based on the obtained results, this approach becomes one of the applicable softwares in industries.
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Papers by Mojtaba Madadkhani