Cost and Comfort Based Optimization of Residential Load in Smart Grid
In smart grid, several optimization techniques are developed for residential load scheduling purpose. Preliminary all the conventional techniques aimed at minimizing the electricity consumption cost. This paper mainly focuses on minimization of electricity cost and maximization of user comfort along with the reduction of peak power consumption. We develop a multi-residential load scheduling algorithm based on two heuristic optimization techniques: genetic algorithm and binary particle swarm optimization. The day-ahead pricing mechanism is used for this scheduling problem. The simulation results validate that the proposed model has achieved substantial savings in electricity bills with maximum user comfort. Moreover, results also show the reduction in peak power consumption. We analyzed that user comfort has significant effect on electricity consumption cost.
KeywordsSmart Grid Residential Sector Electricity Cost Demand Side Management Consumption Cost
- 4.Maharjan, I.K.: Demand Side Management: Load Management, Load Profiling, Load Shifting, Residential and Industrial Consumer, Energy Audit, Reliability, Urban, Semi-urban And Rural Setting. LAP Lambert Academic Publ. (2010)Google Scholar
- 5.Miao, H., Huang, X., Chen, G.: A genetic evolutionary task scheduling method for energy efficiency in smart homes. Int. Rev. Electric. Eng. (IREE) 7(5), 5897–5904 (2012)Google Scholar
- 15.Ma, J., et al.: Residential load scheduling in smart grid: a cost efficiency perspective. IEEE Trans. Smart Grid 7(2), 771–784 (2016)Google Scholar
- 16.Moon, S., Lee, J.-W.: Multi-residential demand response scheduling with multi-class appliances in smart grid. IEEE Trans. Smart Grid (2016)Google Scholar