Optimal Cost of Voltage Security Control Using Voltage Dependent Load Models in Presence of Demand Response

2019 ◽  
Vol 10 (3) ◽  
pp. 2383-2395 ◽  
Author(s):  
Abbas Rabiee ◽  
Seyed Masoud Mohseni-Bonab ◽  
Mostafa Parniani ◽  
Innocent Kamwa
2015 ◽  
Vol 793 ◽  
pp. 478-482
Author(s):  
S.R.A. Rahim ◽  
Ismail Musirin ◽  
Muhammad Murtadha Othman ◽  
Muhamad Hatta Hussain

This paper presents the analysis on load models for cost optimization for distributed generation planning. The Embedded Meta EP – Firefly Algorithm technique is performed in order to identify the optimal distributed generation sizing. The result obtained show that the proposed technique has an acceptable performance to simulate the data and voltage dependent load models have a significant effect on total losses of a distribution system consequently will affect the cost of the system.


Author(s):  
SurenderReddy Salkuti ◽  
Abhijit R Abhyankar ◽  
Pradeep R. Bijwe

In this paper, we investigate the influence of voltage dependent load models on day ahead real power market clearing (DA-RPMC). The investigations clearly bring out the unsuitability of conventional single objectives such as production cost minimization (PCM) (or social welfare maximization (SWM)), due to reduction of load served. Hence, the multi-objective optimization is essential in this context. The paper proposes several objectives such as production cost minimization (PCM) (or social welfare maximization (SWM)), load served maximization (LSM), and Voltage Stability Enhancement Index (VSEI); which can be judiciously combined as per the needs of the operating condition. Multi-objective Strength Pareto Evolutionary Algorithm (SPEA) has been used to solve the DA-RPMC problem. The effectiveness of the proposed approach is tested on IEEE 30 bus system and the detailed simulation studies have been carried out by considering different operating conditions with voltage dependent load modeling.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Andrew Parker ◽  
Mhd Anas Alkrch ◽  
Kevin James ◽  
Ahmad Almaghrebi ◽  
Mahmoud Alahmad

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