Optimal Demand-Side Bidding Using Evolutionary Algorithm in Deregulated Environment

2016 ◽  
pp. 461-473
Author(s):  
Subhojit Dawn ◽  
Sadhan Gope ◽  
Prashant Kumar Tiwari ◽  
Arup Kumar Goswami
Keyword(s):  
Evolutionary Algorithm ◽  
Demand Side

Optimum Enhance Time of Use (ETOU) for Demand Side Electricity Pricing in Regulated Market: An Implementation Using Evolutionary Algorithm

2017 ◽  
Vol 8 (1) ◽  
pp. 253 ◽  
Author(s):  
M. F. Sulaima ◽  
N. Y. Dahlan ◽  
Z.M. Yasin ◽  
N.A.M. Asari ◽  
Z.H. Bohari
Keyword(s):  
Evolutionary Algorithm ◽  
Industrial Revolution ◽  
Optimization Technique ◽  
Demand Side ◽  
Medium Voltage ◽  
Electricity Cost ◽  
Commercial Installation ◽  
Heuristic Technique ◽  
Demand Profile ◽  
The Impact

<p>The energy growth in Malaysia is rapidly increasing as the country moves forward with the advancement of industrial revolution. Peak hours require more energy generation, thus cost is also more expensive than during off-peak. Due to this reason, Demand Side Management (DSM) through Demand Response (DR) technique is introduced to modify the demand profile by implementing different strategies of measures. The objective of this study is to optimize the energy profile for commercial sector, as well as analyse the significance of electricity cost reduction by using the optimization technique. A Meta-heuristic technique called as Evolutionary Algorithm (EA) has been implemented in this study to optimize the load profile of a commercial installation. Significant testing shows that the proposed optimization technique has the ability to reform the Maximum Demand from peak zone to off-peak zone to reduce electricity cost. The test results have been validated through 4 cases, which are conventional method for C1 ETOU, C2 ETOU, and C1 ETOU with Optimization technique, and C2 ETOU with optimization technique tariff, respectively. The impact of the EP has been analysed, while the performance of six-time segmentation of C1 and C2 ETOU tariff indicate that the electricity cost for the medium voltage of installation has been reduced. It is hoped that the results from this study can benefit consumers by giving them the flexibility to rearrange their own energy consumption profile, so that the demand side will enjoy significant reduction of electricity cost in the future.</p><p> </p>

The promise of demand side employer-based strategies to increase employment rates for people living with serious mental illnesses.

2017 ◽  
Vol 40 (2) ◽  
pp. 179-182 ◽  
Author(s):  
Jonathan Delman ◽  
Lynn Kovich ◽  
Sara Burke ◽  
Kevin Martone
Keyword(s):  
Mental Illnesses ◽  
Demand Side ◽  
Employment Rates ◽  
Serious Mental Illnesses

Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

Informatica ◽  
2015 ◽  
Vol 26 (1) ◽  
pp. 33-50 ◽  
Author(s):  
Ernestas Filatovas ◽  
Olga Kurasova ◽  
Karthik Sindhya
Keyword(s):  
Evolutionary Algorithm ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective

Economic Value Analysis on Voltage Stabilization by Reactive Power Compensation of Demand Side Equipment

2015 ◽  
Vol 135 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Masaaki Takagi ◽  
Naoto Tagashira ◽  
Kenji Okada ◽  
Hiroshi Asano
Keyword(s):  
Reactive Power ◽  
Economic Value ◽  
Reactive Power Compensation ◽  
Demand Side ◽  
Voltage Stabilization ◽  
Value Analysis

Optimal demand-side management with a multi-technology battery storage system

2018 ◽  
Vol 1 ◽  
pp. 345-349
Author(s):  
G. Fernández ◽  
◽  
H. Bludszuweit ◽  
J. Torres ◽  
J. Almajano ◽  
...  
Keyword(s):  
Storage System ◽  
Demand Side Management ◽  
Demand Side ◽  
Battery Storage
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