Abstract

Effectiveness of demand side management practice is studied with low-tension domestic sector load data of a south Indian district using tariff as load scheduling tool. A suggestion regarding the impact of proposed novel hybrid Time of Day-Block rate tariff on energy consumption cost calculation is made to initiate load management. Three different combinations of peak-off peak pricing strategy are introduced and optimized to induce future implementation of suggested tariff for welfare of consumer and utility as well. A preference-adaptive load management algorithm is proposed and testified for power flow under two schemes of priority-based load shifting namely, all-time and off-peak time shifting. Genetic algorithm confirms the suggestion being modeled as an initiative work of unidirectional power flow domain from utility to consumer and also ensures its implementation for billing. Mixed integer linear programming algorithm approves the hourly consumption cost calculation for monthly/bimonthly billing over existing block rate billing. Five-year (2014–2018) load data is analyzed with nine different scenarios. Study declares its necessity in replacing existing tariff under all seasonal conditions.

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