REACTIVE POWER PLANNING CONSIDERING TRANSFORMER CAPACITY RELEASE USING DIFFERENTIAL EVOLUTION

2015 ◽  
Vol 38 (4) ◽  
pp. 261-267
Author(s):  
Abdullah M Shaheen ◽  
Ragab A El-Sehiemy ◽  
Sobhy M Farrag
Keyword(s):  
Differential Evolution ◽  
Reactive Power ◽  
Reactive Power Planning

Differential Evolution Technique for the Optimization of Reactive Power Reserves

2017 ◽  
Vol 26 (10) ◽  
pp. 1750155 ◽  
Author(s):  
Biplab Bhattacharyya ◽  
Saurav Raj
Keyword(s):  
Differential Evolution ◽  
Modal Analysis ◽  
Voltage Stability ◽  
Reactive Power ◽  
Stability Margin ◽  
Optimization Techniques ◽  
Planning Problem ◽  
Power Sources ◽  
Voltage Stability Margin ◽  
Reactive Power Planning

In the present work, reactive power planning problem along with voltage stability margin is addressed by effective co-ordination of reactive power sources. Modal analysis and L-index methods are used to detect weak nodes of the system accordingly. Differential Evolution (DE) and Genetic Algorithm (GA)-based optimization techniques are applied for the proper co-ordination of Var sources under base and increased loading conditions maintaining voltage stability of the connected power network. The problem is multi-objective and IEEE 30 bus system is taken as the standard system. It is observed that modal analysis based detection of weak nodes are more effective than the L-index-based detection. Moreover, the DE-based optimization algorithm gives better result compared to GA-based approach in maximizing reactive power reserves.

A novel adequate bi-level reactive power planning strategy

2016 ◽  
Vol 78 ◽  
pp. 897-909 ◽  
Author(s):  
Abdullah M. Shaheen ◽  
Ragab A. El-Sehiemy ◽  
Sobhy M. Farrag
Keyword(s):  
Reactive Power ◽  
Planning Strategy ◽  
Reactive Power Planning

Distribution Network Reactive Power Planning Based on Improved Evolutionary Strategy Theory

2013 ◽  
Vol 732-733 ◽  
pp. 1023-1028
Author(s):  
Si Qing Sheng ◽  
Xing Li ◽  
Yang Lu
Keyword(s):  
Reactive Power ◽  
Distribution Network ◽  
Load Condition ◽  
Optimal Solution ◽  
Evolution Strategy ◽  
Evolutionary Strategy ◽  
Initial Population ◽  
Fitness Value ◽  
Cauchy Mutation ◽  
Reactive Power Planning

In this paper a distribution network reactive power planning mathematical model was established, taking the minimized sum of electrical energy loss at the different load operation modes and the investment for reactive power compensation equipments as objective function to solve the planning question respectively and taking the transformer tap as equality constraint. The evolution strategy is improved, The Euclidean distance is introduced into the formation of the initial population, and the initial population under the max load operation mode is based on the optimal solution of the min load condition. The Cauchy mutation and variation coefficient are introduced into the evolution strategy method. By means of improvement of fitness to ensure diversity of population in early and accuracy of the fitness value.

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