Demand Response Application in Generation, Transmission, and Distribution Expansion Planning

2020 ◽  
pp. 163-191
Author(s):  
Y. Hashemi ◽  
H. Shayeghi
Keyword(s):  
Demand Response ◽  
Expansion Planning ◽  
Transmission And Distribution

scholarly journals A Hierarchical VLSM-Based Demand Response Strategy for Coordinative Voltage Control Between Transmission and Distribution Systems

2019 ◽  
Vol 10 (5) ◽  
pp. 4838-4847 ◽  
Author(s):  
Xiangqi Zhu ◽  
Jiyu Wang ◽  
Ning Lu ◽  
Nader Samaan ◽  
Renke Huang ◽  
...  
Keyword(s):  
Demand Response ◽  
Distribution Systems ◽  
Voltage Control ◽  
Response Strategy ◽  
Transmission And Distribution

scholarly journals Expansion Planning of Automated Sub-transmission and Distribution Networks integrated by Distributed Generations

2019 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Mohammad Zohuratar ◽  
Jamshid Aghaei ◽  
Taher Niknam ◽  
Ahmad Nikoobakht
Keyword(s):  
Distribution Networks ◽  
Distributed Generations ◽  
Expansion Planning ◽  
Transmission And Distribution

scholarly journals The Effect of Different Non-linear Demand Response Models Considering Incentive and Penalty on Transmission Expansion Planning

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Amir Sadegh Zakeri ◽  
Oveis Asgari Gashteroodkhani ◽  
Iman Niazazari ◽  
Hossein Askarian-Abyaneh
Keyword(s):  
Linear Model ◽  
Demand Response ◽  
Nonlinear Models ◽  
Load Factor ◽  
Peak Reduction ◽  
Electrical Transmission ◽  
Load Curve ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion

The Transmission Expansion Planning (TEP) problem involves adding new lines to the existing electrical transmission network in order to meet the electrical demand requirements. Demand Response (DR) plays an important role in solving the TEP problem due to the delay in the investment costs. Researchers usually focus on the linear model of DR, while the focus on nonlinear models including power, exponential and logarithmic of DR is small. In this paper and in order to understand which model gives the realistic results, the linear model of DR is studied simultaneously with nonlinear models including power, exponential and logarithmic of DR. Moreover, the effect of incentive and penalty which has been neglected in the studies, is investigated. The study is investigated based on the viewpoint of different participants of the market including Independent System Operator (ISO), Customers and Utilities. In order to prioritize and select the most effective DR program, five characteristics including Peak Reduction, Energy Consumption, Load Factor, Peak to Valley and Customer’s Total Cost are extracted from the load curve. Then, using the weighting coefficients obtained by Entropy technique and implementing the TOPSIS and AHP technique, different DR programs are prioritized.

Aggregated Model of Data Network for the Provision of Demand Response in Generation and Transmission Expansion Planning

2021 ◽  
Vol 12 (1) ◽  
pp. 512-523
Author(s):  
Min Chen ◽  
Ciwei Gao ◽  
Zuyi Li ◽  
Mohammad Shahidehpour ◽  
Quan Zhou ◽  
...  
Keyword(s):  
Demand Response ◽  
Data Network ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Transmission Expansion ◽  
Aggregated Model
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