Demand side management in a microgrid to reduce the peak consumption cost

Abstract

Microgrid stands for the participation of renewable sources such as solar and wind in the existing energy system in order to increase the availability and reliability of energy for consumers and to make the atmosphere carbon-free by reducing dependence on the main grid. However, the non-linearities inherent in the nature of the microgrid and network components make the programming process complex. Therefore, the efficient but linear model for microgrid resource planning algorithms is gaining interest today due to its simplicity and computational speed. On the contrary, for demand-side management, reducing the peak demand price by using different methods such as load trimming and valley filling by varying the use of flexible loads on the consumer side, which is an easier option for microgrid operators, rush hour price for consumer satisfaction. This paper gives an idea of the above purpose by designing an average model of a solar microgrid with the implementation of the maximum power point tracking (MPPT) algorithm method for stability of the system frequency and a battery storage system with a controller. You then plan the microgrid using the demand side management (DSM) method in order to reduce the cause of the price spikes.

Comparison of power system flow analysis methods of IEEE 5-bus system

“…Besides this, the application of the Newton-Raphson solution technique in real arithmetic operations requires at least two times larger memory storage references to perform the exact same amount of complex arithmetic calculations in the same amount of time [18], [19]. This algorithm is limited by the increased memory cycle time, as the computational system in which the simulation is taking place must repeatedly refer to the same memory references again and again until the solution is obtained, an algorithm that uses complex arithmetic rather than Newton-Raphson algorithm will be more efficient for the same number of operations [20].…”