Genetically Optimized FACTS Controllers for Available Transfer Capability Enhancement
نویسندگان
چکیده
منابع مشابه
Using FACTS Controllers to Maximize Available Transfer Capability
|This paper concentrates on studying the e ect of SVC and TCSC controllers on the Available Transfer Capability (ATC). Standard voltage collapse techniques are used to determine the ATC of a test system, considering a variety of system limits. Then, based on second-order sensitivity analysis, optimal locations for these particular FACTS controllers are determined; these techniques are compared ...
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In this paper, the new hybrid particle swarm optimization (hybrid-PSO) based on particle swarm optimization (PSO), evolutionary programming (EP), and tabu search (TS) is developed. Hybrid-PSO is proposed to determine the optimal allocation of multi-type flexible AC transmission system (FACTS) controllers for simultaneously maximizing the power transfer capability of power transactions between g...
متن کامل7 Available Transfer Capability Calculation
The maximum power that can be transferred from one area to another area is called transfer capability. In 1996, North American Electric Reliability Council (NERC) established a framework for Available Transfer Capability (ATC) definition and evaluation. According to the NERC definition, ATC is the transfer capability remaining between two points above and beyond already committed uses (NERC, 19...
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In this paper, a hybrid evolutionary algorithm (HEA) is proposed to determine the optimal placement of multi-type flexible AC transmission system (FACTS) devices to simultaneously maximize the total transfer capability (TTC) and minimize the system real power loss of power transfers in deregulated power systems. Multi-objective optimal power flow (OPF) with FACTS devices including TTC, power lo...
متن کاملHybrid Mutation Particle Swarm Optimisation Method for Available Transfer Capability Enhancement
A Hybrid Mutation Particle Swarm Optimisation (HMPSO) technique for improved estimation of Available Transfer Capacity (ATC) as a decision criterion is proposed in this paper. First, this is achieved by comparing a typical application of the Particle Swarm Optimisation (PSO) technique with conventional Genetic Algorithm (GA) methods. Next, a multi-objective optimisation problem concerning optim...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/2349-3072