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Rajarajeswari, R.
- Demand Side Management in Smart Grid using Optimization Technique for Residential, Commercial and Industrial Load
Abstract Views :206 |
PDF Views:0
Authors
Affiliations
1 Department of Electrical and Electronics Engineering, SRM University, Chennai – 603203, Tamil Nadu, IN
1 Department of Electrical and Electronics Engineering, SRM University, Chennai – 603203, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 43 (2016), Pagination:Abstract
Objective: To minimize the Peak to Average load Ratio (PAR) per day of end users so that the smart grids(SG) efficiency is increased. Set of appliances differentiated as elastic and fixed are considered for optimal scheduling at the user end. Methods: Demand side management (DSM) in smart grid is one which permits customers to reach determinations affecting their energy consumption, and reduces the peak hour demand of the energy providers and reshapes the load profile. Genetic algorithm (GA) is a powerful technique to obtain near optimal solution. Hence GA is used for this load rescheduling problem for a sample test system to minimize the cost of end user. Findings: Economical and environmental advantages can be obtained by time based pricing model compared to currently existing scenario. Especially, the electricity expenditures of the end user can be reduced by responding to pricing which changes with different hours of a day in SG. Improvement: In this work rescheduling of the load curve of a consumer from the existing load curve is performed. The former is done based on time based pricing method that would reduce the PAR of end-user. This scheduling is also based on categorizing the devices used by the user as shiftable and non-shiftable loads.Keywords
Appliance sScheduling, Demand sSide mManagement, Genetic Algorithm, Smart Grid, Energy Management.Full Text
- Simulation of Controllers for AC Microgrid
Abstract Views :132 |
PDF Views:0
Authors
Affiliations
1 Department of Electrical and Electronics Engineering, SRM University, Chennai – 603203, Tamil Nadu, IN
1 Department of Electrical and Electronics Engineering, SRM University, Chennai – 603203, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 42 (2016), Pagination:Abstract
Objective: To design controllers for AC micro grid. To improve battery span, fuzzy control and energy management control the charging and discharging mode of the battery. Methods: A fuzzy controller can be used for the control of battery SOC of the renewable hybrid system and Energy Management Control is also used as above and to improve the performance of the system. Findings: The wind, solar hybrid power system plays a vital role today in renewable energy resources because it uses solar and wind power combined to create a stand-alone energy source that is both dependable and reliable. Conventional approach cannot provide with best way of energy management due to its non-linearity of battery charging process. So modern controllers are used in micro grid for battery SOC control. Improvement: In this work both fuzzy logic controller and EMC system is used for the hybrid system modeled using solar, wind and fuel cell system.Keywords
Energy Management System, Fuzzy Logic Control, State of Charge.Full Text