A least squares solution for optimal power flow sensitivity calculation

1992 ◽  
Vol 7 (3) ◽  
pp. 1394-1401 ◽  
Author(s):  
S.V. Venkatesh ◽  
W.-H.E. Liu ◽  
A.D. Papalexopoulos
Keyword(s):  
Least Squares ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Sensitivity ◽  
Least Squares Solution ◽  
Sensitivity Calculation ◽  
Optimal Power

scholarly journals Complex Power Flow Sensitivity Index based Optimal Location and Tuning of Thyristor Controlled Series Capacitor using BAT Algorithm to enhance Line based Voltage Stability

2014 ◽  
pp. 100-108
Author(s):  
B.Venkateswara Rao ◽  
G.V.Nagesh Kumar
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Bat Algorithm ◽  
Sensitivity Index ◽  
Real Power ◽  
Flow Sensitivity ◽  
Flexible Ac Transmission System ◽  
Optimal Power ◽  
Complex Power ◽  
Ac Transmission

Modern electric power utilities are facing many challenges due to increasing complexity in their operation and structure. In the recent times, one of the problems that got wide attention is the power system instabilities due to lack of new transmission facilities. Existing transmission facilities can be better utilized by installing Flexible AC Transmission System (FACTS) devices. The TCSC is the most effective FACTS device used to increase the power transferable capabilities of the transmission line. This paper presents a Sensitivity analysis based Complex Power Flow Sensitivity Index (CPSI) calculated for placing the TCSC at an appropriate location. Once the location to install the TCSC is determined, the optimal tuning of the TCSC is determined through BAT Algorithm. The BAT Algorithm is implemented on multi-criterion objective function to minimize total real power loss, total voltage magnitude deviations, the fuel cost of total real power generation and the branch loading to obtain the Optimal Power Flow. Simulations have been carried out in MATLAB software for the IEEE 57-bus system. The results have been taken for BAT Algorithm based Optimal Power Flow without and with TCSC. The results obtained with BAT Algorithm were compared with Genetic Algorithm (GA).

Optimal power flow sensitivity analysis

1990 ◽  
Vol 5 (3) ◽  
pp. 969-976 ◽  
Author(s):  
P.R. Gribik ◽  
D. Shirmohammadi ◽  
S. Hao ◽  
C.L. Thomas
Keyword(s):  
Sensitivity Analysis ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Sensitivity ◽  
Optimal Power

Optimal Power Flow Using Newton’s Method

2012 ◽  
Vol 3 (2) ◽  
pp. 167-169
Author(s):  
F.M.PATEL F.M.PATEL ◽  
◽  
N. B. PANCHAL N. B. PANCHAL
Keyword(s):  
Newton’S Method ◽  
Newton's Method ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power

Designing the Electricity Market with Energy Storage Devices

2020 ◽  
Vol 12 (12) ◽  
pp. 31-43
Author(s):  
Tatiana A. VASKOVSKAYA ◽  
◽  
Boris A. KLUS ◽  
Keyword(s):  
Energy Storage ◽  
Electricity Market ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Storage Systems ◽  
Energy System ◽  
Energy Storage Systems ◽  
Storage Model ◽  
Optimal Power ◽  
Wide Range

The development of energy storage systems allows us to consider their usage for load profile leveling during operational planning on electricity markets. The paper proposes and analyses an application of an energy storage model to the electricity market in Russia with the focus on the day ahead market. We consider bidding, energy storage constraints for an optimal power flow problem, and locational marginal pricing. We show that the largest effect for the market and for the energy storage system would be gained by integration of the energy storage model into the market’s optimization models. The proposed theory has been tested on the optimal power flow model of the day ahead market in Russia of 10000-node Unified Energy System. It is shown that energy storage systems are in demand with a wide range of efficiencies and cycle costs.

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