Specialized Genetic Algorithm for Transmission Network Expansion Planning Considering Reliability
- Resource Type
- Conference
- Authors
- Garces, Lina; Romero, Ruben
- Source
- 2009 15th International Conference on Intelligent System Applications to Power Systems Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on. :1-6 Nov, 2009
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Genetic algorithms
Power system reliability
Mathematical model
Investments
Power system planning
Power system analysis computing
Costs
Power system modeling
Intelligent systems
Uncertainty
Reliability
genetic algorithm
transmission expansion planning
mixed-integer non linear programming
- Language
This paper presents a methodology to solve the transmission network expansion planning problem (TNEP) considering reliability and uncertainty in the demand. The proposed methodology provides an optimal expansion plan that allows the power system to operate adequately with an acceptable level of reliability and in an enviroment with uncertainness. The reliability criterion limits the expected value of the reliability index (LOLE - Loss Of Load Expectation) of the expanded system. The reliability is evaluated for the transmission system using an analytical technique based in enumeration. The mathematical model is solved, in a efficient way, using a specialized genetic algorithm of Chu-Beasley modified. Detailed results from an illustrative example are presented and discussed.