Reliability-Security ConstrainedUnit Commitment with Hybrid OptimizationMethod

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

article

Ahmad Heidari¹  Mohammad Reza Alizadeh Pahlavani¹  Hamid Dehghani¹ 

[1] Malek-Ashtar University of Technology

关键词: Benders Decomposition;    Fuzzy Programming;    Genetic Algorithm;    Optimization technique;    Reliability Issues;    Unit Commitment.;   

来源: Research & Reviews

【 摘 要 】

This paper presents an advanced optimization technique to solve unit commitment problems and reliability issues simultaneously for thermal generating units. To solve unit commitment, generalized benders decomposition along with genetic algorithm to include minimum up/down time constraints are proposed, and for reliability issues consideration, a fuzzy stochastic-based technique is presented. To implement the problem into an optimization program, the MATLAB® software, and CPLEX® and KNITRO® solvers are used. To verify the proposed technique and algorithm, two case studies that are IEEE 14 and 118 bus systems are implemented for optimal generation scheduling, and reliability issues. Finally, a comparison with other solution techniques has been given.

【 授权许可】

Unknown