Optimal Power Flow by Newton Method for Reduction of Operating Cost with SVC Models

2009 ◽  
Author(s):  
B. Venkateswara Rao ◽  
G.V. Nagesh Kumar ◽  
M. Ramya Priya ◽  
P.V.S. Sobhan
Keyword(s):  
Newton Method ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Operating Cost ◽  
Optimal Power

Emission/fuel energy restricted dynamic optimal power flow using fuzzy - ant lion optimizer

2017 ◽  
Vol 11 (2) ◽  
pp. 208-256 ◽  
Author(s):  
Janagaraman Radha ◽  
Srikrishna Subramanian ◽  
Sivarajan Ganesan ◽  
Manoharan Abirami
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Operating Cost ◽  
Dynamic Environment ◽  
Fuzzy Decision Making ◽  
Content Type ◽  
Optimal Power ◽  
Ant Lion Optimizer ◽  
Ant Lion ◽  
First Time

Purpose This study aims to minimize operating cost, adhere to pollution norms and maintain reserve and voltage levels subject to various operational concerns, including non linear characteristics of generators and fuel limitation issues, which are useful for the current power system applications. Design/methodology/approach Improved control settings are required while considering multiple conflicting operational objectives that necessitate using the modern bio-inspired algorithm ant lion optimizer (ALO) as the main optimization tool. Fuzzy decision-making mechanism is incorporated in ALO to extract the best compromise solution (BCS) among set of non-dominated solutions. Findings The BCS records of IEEE-30 bus and JEAS-118 bus systems are updated in this work. Numerical simulation results comparison and comprehensive performance analysis justify the applicability of the intended algorithm to solve multi-objective dynamic optimal power flow (DOPF) problem over the state-of-art methods. Originality/value Optimal control settings are obtained for IEEE-30 and JEAS-118 bus systems with the objectives of minimizing fuel cost and emission in dynamic environment considering take-or-pay fuel contract issue. The fuzzy supported ALO (FSALO) is applied first time to solve the DOPF problem.

Solution approach for optimal power flow considering wind turbine and environmental emissions

2021 ◽  
pp. 0309524X2110351
Author(s):  
Ankur Maheshwari ◽  
Yog Raj Sood
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Renewable Energy Sources ◽  
Operating Cost ◽  
Complex Problem ◽  
Voltage Profile ◽  
Efficient Operation ◽  
Solution Approach ◽  
Optimal Power ◽  
Environmental Emissions

The power grid is changing expeditiously with the increasing penetration of renewable energy sources (RES). Optimal utilization of RES reduces the burden on the primary grid and makes the grid more resilient. Traditional optimal power flow (OPF) is a complex problem in power management systems, and the complexity further increases with the integration of RES due to their intermittency. This paper presents the complete formulation of the OPF model incorporating wind turbines (WT) and environmental emissions for proper scheduling, planning, and efficient operation of thermal generating units (TGU) using the Ant Lion Optimization (ALO) algorithm. The formulation of the OPF problem comprises forecasted active power generation of WT, depending on the real-time measurement and probabilistic wind speed models. The results are analyzed from the perspective of operating cost, voltage profile, and transmission power losses in the system. The OPF approach and the solution methodology are tested on the IEEE 30 and IEEE 57-bus systems. The effectiveness of the proposed ALO algorithm is evaluated against well-established algorithms like Particle Swarm Optimization and Teaching-learning-based optimization. The comparison emphasizes the effectiveness of the ALO approach for solving various OPF problems with complex and non-smooth objective functions.

scholarly journals A semismooth Newton method for solving optimal power flow

2007 ◽  
Vol 3 (3) ◽  
pp. 553-567 ◽  
Author(s):  
Xiaojiao Tong ◽  
◽  
Felix F. Wu ◽  
Yongping Zhang ◽  
Zheng Yan ◽  
...  
Keyword(s):  
Newton Method ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Semismooth Newton Method ◽  
Optimal Power ◽  
Semismooth Newton
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