Dalal-Bachi, Moustafa (2012) Economic dispatch and demand side management in diesel hybrid mini-grids. Masters thesis, Concordia University.
- Accepted Version
Remote communities are frequently supplied by diesel power plants with multiple generator sets. The load profile of these communities is characterized by a large peak to
average load ratio. This variation of the load makes the choice of the amount of power that each generator should provide, for optimal operation, more difficult. A generator set should not operate below 30% of its rated capacity, and a new generator set is added to the system when the diesel power plant operates at around 85% of the rated capacity.
Besides, a generator set should not be constantly cycling on and off, since it increases the maintenance cost and fuel consumption. The usage of renewable energy sources such as
wind and photovoltaic (PV) presents great potential for reducing the cost and fuel consumption of remote power systems. However, it further complicates the sizing and the
control of the diesel power plant due to its intermittent, fluctuating and stochastic nature.The objective of this thesis is to investigate the potential of Demand Side Management (DSM) based on Electric Water Heater (EWH) controlled by frequency to mitigate the difficulties created by the renewable energy sources and enhance the economical
operation of diesel hybrid power systems. In this research, the characteristics of the diesel generator set, PV, and the electric water heater are studied. In addition, multi gensets working in parallel with economic dispatch based on secant method are presented. The mini-grid benchmark, the fuel cost for each III generator set, EWH model and economic dispatch algorithm are all simulated using
Matlab/Simulink. The performance of the proposed system under various levels of PV power 0%, 25% and 50% are also investigated. The simulation results indicate that using a DSM in multigenset hybrid mini grid enhances system performance considering fuel consumption, efficiency, the number of hours generator set work per day and cycling of the generator sets.
|Divisions:||Concordia University > Faculty of Engineering and Computer Science > Electrical and Computer Engineering|
|Item Type:||Thesis (Masters)|
|Degree Name:||M.A. Sc.|
|Program:||Electrical and Computer Engineering|
|Date:||24 January 2012|
|Thesis Supervisor(s):||Lopes, Luiz|
|Deposited By:||MOUSTAFA DALAL BACHI|
|Deposited On:||18 Jun 2012 15:04|
|Last Modified:||28 Jul 2015 20:09|
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