scholarly journals Analysis of demand-side response preferences regarding electricity tariffs and direct load control: Key findings from a Swiss survey

Energy ◽  
2020 ◽  
Vol 212 ◽  
pp. 118712
Author(s):  
Selin Yilmaz ◽  
Xiaojing Xu ◽  
Daniel Cabrera ◽  
Cédric Chanez ◽  
Peter Cuony ◽  
...  
2009 ◽  
Vol 20 (3) ◽  
pp. 14-21 ◽  
Author(s):  
Afua Mohamed ◽  
Mohamed Tariq Khan

A review of electrical energy management tech-niques on the supply side and demand side is pre-sented. The paper suggests that direct load control, interruptible load control, and time of use (TOU) are the main load management techniques used on the supply side (SS). The supply side authorities normally design these techniques and implement them on demand side consumers. Load manage-ment (LM) initiated on the demand side leads to valley filling and peak clipping. Power factor correc-tion (PFC) techniques have also been analysed and presented. It has been observed that many power utilities, especially in developing countries, have neither developed nor implemented DSM for their electrical energy management. This paper proposes that the existing PFC techniques should be re-eval-uated especially when loads are nonlinear. It also recommends automatic demand control methods to be used on the demand side in order to acquire optimal energy consumption. This would lead to improved reliability of the supply side and thereby reducing environmental degradation.


Demand Side Management plays an important role in the maintenance of Smart Grid stability and allows to optimally manage consumer energy consumption. The advantages of Demand Side Management are improved energy efficiency and stability, reduction of electricity production cost and improved grid reliability. The various techniques of Demand Side Management are Direct Load Control, Smart Pricing, Demand Bidding, etc. Evolutionary algorithms and linear programming approach used for Demand Side Management considers cost function-based optimization for Direct Load Control. This paper proposes a Direct Load Control technique using a modified 0-1 Knapsack Problem. This technique alters the load during the peak time when demand is more, based on the consumer’s demand. Furthermore, backup load management is proposed, which will be used when demand is more during peak load time based on the total available supply. If backup load usage exceeds the set limit, load will be cut off and the period of cut off will be based on the Fibonacci timing period. The proposed algorithms are simulated in MATLAB Simulink environment and the simulation results show the effectiveness of approach.


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