Thesis Open Access

# FUZZY LOGIC BASED DEMAND SIDE MANAGEMENT AT CUSTOMER END SIDE

AMINAT YAHYA NURE

### Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:creator>AMINAT YAHYA NURE</dc:creator>
<dc:date>2019-11-18</dc:date>
<dc:description>Demand Side Management (DSM) technique encourages the consumers to adjust their energy
usage pattern to get optimized results for achieving the goal of minimizing the electricity
consumption cost. This mechanism provides benefits to both side customer and utility in terms of
bill cost reduction (for the customer) and ensure grid stability (for the provider). To regulate the
increasing energy demand extensive research is being carried out for possible implementation
of different DSM techniques.
In this thesis, an Energy Management System (EMS) at customer end side through design of
fuzzy logic based demand side management model is proposed for demand forecasting and load
scheduling. The proposed system consists of two fuzzy logic controllers, the 1st controller is
applicable for the short term energy demand forecasting for the next day 24hours and the 2nd
controller is used to schedule the home appliances based on the forecasted demand. The input
variables for the forecasting controllers are previous demand, current demand, day type (work
day or weekend) and time period of the day. Depending on these parameters it forecasts the next
day demand which is considered as its output. Then this output (forecasted demand) will feed to
the second fis (scheduler) controller to schedule the specified appliances.
Finally the fuzzy logic based predictive controller is developed and implemented using
appropriate membership function in order to forecast the next day’s demand. And the result of
this model shows that forecasted demand is highly affected by particular time period, previous
demand, current demand and day type .The displayed result indicates that higher demand is
occurred at peak hours and low demand at off-peak hours. Depend on the forecasted demand
fuzzy logic based load scheduling controller is developed and implemented. The result of the
scheduler shows at higher forecasted demand most of appliances are in off condition except
continuously usable loads .And all home loads are in on condition at low and medium forecasted
demand. From this we can conclude that everybody can manage his power consumption by
shifting their usage from peak hour to off peak hour by knowing the demand of energy for the
next day with the help of the model .and the model appropriately schedules the home loads.
</dc:description>
<dc:language>eng</dc:language>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:subject>Fuzzy logic, demand side management, forecast, appliance schedule</dc:subject>
<dc:title>FUZZY LOGIC BASED DEMAND SIDE MANAGEMENT AT CUSTOMER END SIDE</dc:title>
<dc:type>info:eu-repo/semantics/doctoralThesis</dc:type>
<dc:type>publication-thesis</dc:type>
</oai_dc:dc>

42
34
views