Thesis Open Access

# FUZZY LOGIC BASED DEMAND SIDE MANAGEMENT AT CUSTOMER END SIDE

AMINAT YAHYA NURE

### JSON Export

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"description": "<p>Demand Side Management (DSM) technique encourages the consumers to adjust their energy<br>\nusage pattern to get optimized results for achieving the goal of minimizing the electricity<br>\nconsumption cost. This mechanism provides benefits to both side customer and utility in terms of<br>\nbill cost reduction (for the customer) and ensure grid stability (for the provider). To regulate the<br>\nincreasing energy demand extensive research is being carried out for possible implementation<br>\nof different DSM techniques.<br>\nIn this thesis, an Energy Management System (EMS) at customer end side through design of<br>\nfuzzy logic based demand side management model is proposed for demand forecasting and load<br>\nscheduling. The proposed system consists of two fuzzy logic controllers, the 1st controller is<br>\napplicable for the short term energy demand forecasting for the next day 24hours and the 2nd<br>\ncontroller is used to schedule the home appliances based on the forecasted demand. The input<br>\nvariables for the forecasting controllers are previous demand, current demand, day type (work<br>\nday or weekend) and time period of the day. Depending on these parameters it forecasts the next<br>\nday demand which is considered as its output. Then this output (forecasted demand) will feed to<br>\nthe second fis (scheduler) controller to schedule the specified appliances.<br>\nFinally the fuzzy logic based predictive controller is developed and implemented using<br>\nappropriate membership function in order to forecast the next day&rsquo;s demand. And the result of<br>\nthis model shows that forecasted demand is highly affected by particular time period, previous<br>\ndemand, current demand and day type .The displayed result indicates that higher demand is<br>\noccurred at peak hours and low demand at off-peak hours. Depend on the forecasted demand<br>\nfuzzy logic based load scheduling controller is developed and implemented. The result of the<br>\nscheduler shows at higher forecasted demand most of appliances are in off condition except<br>\ncontinuously usable loads .And all home loads are in on condition at low and medium forecasted<br>\ndemand. From this we can conclude that everybody can manage his power consumption by<br>\nshifting their usage from peak hour to off peak hour by knowing the demand of energy for the<br>\nnext day with the help of the model .and the model appropriately schedules the home loads.<br>\n&nbsp;</p>",
"keywords": [
"Fuzzy logic, demand side management, forecast, appliance schedule"
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"publication_date": "2019-11-18",
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"name": "Professor Ramasamy"
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"title": "FUZZY LOGIC BASED DEMAND SIDE MANAGEMENT AT CUSTOMER END SIDE"
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