Smart household management systems with renewable generation to increase the operation profit of a microgrid

Abstract

During the past few years, due to the growth of electric power consumption, generation costs as well as rises in the level of greenhouse gases efficiency bring special focus on distributed generation. Developing distributed generation resources, especially renewable energy resources, is one of the safest ways to solve such problem. These resources have been decentralised by being installed close to the houses producing few kilowatts. Therefore, there are no losses in transmission lines and provide response for demand. Based on their benefits, the use of such energy resources should be developed in the future, but its management and optimal use is a major challenge. This has become one of the main concerns ofenergy systems researchers. In the current study, an innovative model is provided as a strategic management. It is intended to optimise the operation in smart homes consisting of generation units such as a wind turbine, solar panels, storages, and un/controllable loads. The main objective of this optimisation management is to maximise microgrid profitability for 24 h. The overall results of the model proved that the profit of microgrid increased significantly.

Profit maximization in hybrid microgrid system incorporating demand response and plug in EV

“…The solar power output is usually high during mid-day. Power is calculated by Equation ( 1) and constraint equation for solar power generation is given in Equation ( 2) 16 :…”

“…It decreases during mid-day due to temperature rise. The wind output power calculated by Equations ( 3) to ( 6) and constraint for wind power generation is mentioned in Equation ( 7) 16 :…”

“…The solar power output is usually high during mid‐day. Power is calculated by Equation (1) and constraint equation for solar power generation is given in Equation (2) 16 : where “ N ” is number of solar array, “ P mpv ” is nominal power of each panel (kW) and “ G t ” is the intensity of solar irradiation.…”

“…This is performed using PSO technique. Hybrid microgrid system with multiple DG resources such as solar power, wind power, microturbine, battery 15 and EV parking lot 16 is considered for the proposed analysis.…”

Bi‐level equilibrium of energy retailer–smart energy hub game in integrated energy market

“…Mbungu et al in [10] designed a new model predictive control to minimise utilisation of the utility grid for electricity usage in the industry in the presence of renewable energy resources. Renewable energy resources such as wind turbines, solar panels, and smart energystorage systems were used in [11] to maximise microgrid profitability for 24 h. In that work, a new smart energy management system was proposed for domestic load with energy-storage capability. A dynamic distributed energy-storage strategy (DDESS) for smart energy coordination of an autonomous residential home was proposed in [12].…”