A multiple-block fuzzy logic-based electric water heater demand-side management strategy for leveling distribution feeder demand profile

2002 ◽  
Vol 43 (2) ◽  
pp. 117
Keyword(s):  
Fuzzy Logic ◽  
Management Strategy ◽  
Demand Side Management ◽  
Demand Side ◽  
Water Heater ◽  
Distribution Feeder ◽  
Demand Profile

Demand Side Management Technique for Domestic Level by Using Fuzzy Logic Controller

2014 ◽  
Vol 699 ◽  
pp. 871-876
Author(s):  
Hafizah Md Nor ◽  
Chin Kim Gan ◽  
Mohd Shahril Ahmad Khiar
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Electrical Energy ◽  
Demand Side Management ◽  
Management Technique ◽  
Demand Side ◽  
Water Heater ◽  
Building Activities ◽  
Fuzzy Logic Technique ◽  
Domestic Level

Electrical energy is critical resources for all nation building activities in order to keep prosper economy side for the nation. Therefore, demand for electricity is on the ever increasing side in both industrial and domestic levels. This paper presents a basic technique using a fuzzy logic technique for managing the power consumption at residence level by focusing on water heater (WH) load control. It aims to increase the utilization of electricity supply system. The proposed algorithm in this paper is shown to design a model for load management during peak hours and off peak hours at domestic level by developing the preference setting. Then, simulation results are expected to show the effectiveness of the fuzzy logic controller in demand side management (DSM) strategy.

scholarly journals Clustering and Fuzzy Logic-Based Demand-Side Management for Solar Microgrid Operation: Case Study of Ngurudoto Microgrid, Arusha, Tanzania

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Godiana Hagile Philipo ◽  
Yusufu Abeid Chande Jande ◽  
Thomas Kivevele
Keyword(s):  
Fuzzy Logic ◽  
Management Strategy ◽  
Clustering Algorithm ◽  
Supply And Demand ◽  
Power Saving ◽  
Demand Side Management ◽  
Energy Utilization ◽  
Demand Side ◽  
Energy Management Strategy

Permanent electricity availability should not be taken for granted since grid sustainability and reliability are at stake when there is no balance between supply and demand. This paper employs a load balancing demand-side management (DSM) approach based on fuzzy logic, considering the low energy users who have insignificant influence on system peaks. Through the K-means clustering algorithm, suitable candidates for DSM are identified, and the control mechanism is based on energy utilization and load priority. The results reveal that about 3.7 kW in power saving was achieved per month. This result indicates that, with a proper energy management strategy for an individual customer, almost a flatter load profile and power saving can be achieved.

scholarly journals Hot water usage profiling to improve geyser efficiency

2017 ◽  
Vol 23 (1) ◽  
pp. 39-45 ◽  
Author(s):  
Quinton Catherine ◽  
Jacques Wheeler ◽  
Richardt Wilkinson
Keyword(s):  
Heat Loss ◽  
Demand Side Management ◽  
Current Control ◽  
Hot Water ◽  
Demand Side ◽  
Water Usage ◽  
Peak Demand ◽  
Demand Profile

This paper presents an intelligent hot water cylinder (HWC) (referred to as geyser) usage profiling system to provide peak demand side management and improve HWC efficiency in a typical household. The study highlights current control topologies used to improve geyser efficiency, as well as the design of the final geyser controller. The system consists of a PIC microcontroller used to determine individually based hot water usage profiles of the user. The controller then regulates the temperature of the geyser according to the demand profile developed. From the results it is apparent that by controlling the geyser temperature and thereby heat loss, savings can be made.

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