Enhanced Genetic Algorithm based computation technique for multi-objective Optimal Power Flow solution

By M. Sailaja Kumari, Sydulu Maheswarapu. 2010

300 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/fad097932456cb17bfc410941d5e32c17171919c

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In Electrical and Electronic Engineering

1. Hua Wei
2. Xiaoqing Bai
3. Licheng Li
4. Yimu Fu
5. Mingbo Liu
6. Steven H. Low

Citations in the corpus

• A semidefinite programming method with graph partitioning technique for optimal power flow problems (2011, methodology): “Nowadays, OPF has been applied extensively in powers system analysis [3–5].”
• Multiobjective Stochastic Economic Dispatch With Variable Wind Generation Using Scenario-Based Decomposition and Asynchronous Block Iteration (2016, methodology): “The vectorization algorithms, which include the enhanced genetic algorithm [21], the Pareto archived evolution strategy [22], the multiobjective differential evolution algorithm [23], and multiobjective reinforcement learning [24], and so on, can handle the MOO problem directly, and obtain Pareto so”