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A new distribution power system planning approach for distributed generations with respect to reliability assessment
Conventional methods for solving distribution systems planning (DSP) problem are related to the expansion of distribution systems such as substation reinforcement and feeder replacement. Nowadays, distributed generations (DGs) in various types are a new option for DSP. This paper presents a new approach to solve the DSP problem including DGs with respect to the reliability of the system. The impact of different types of DGs in order to improve the system reliability are modeled and studied by the adequacy transition rate using the Markov model. The objective functions of this optimization problem are power losses, DGs installation and operation cost, reliability indices such as energy not supplied, average interruption frequency, and average interruption duration. Since this optimization problem has a nonlinear complex nature, classical mathematical methods cannot guarantee to achieve the global optimum solution. To solve this problem, a fuzzy interactive multi-objective particle swarm optimization is developed based on Pareto solutions. The model resolves decision variables as follows: location, size, and type of the DG units. The results on IEEE 34-bus distribution system show the effectiveness of the proposed method rather than previous works for reliability assessment.
A new distribution power system planning approach for distributed generations with respect to reliability assessment
Conventional methods for solving distribution systems planning (DSP) problem are related to the expansion of distribution systems such as substation reinforcement and feeder replacement. Nowadays, distributed generations (DGs) in various types are a new option for DSP. This paper presents a new approach to solve the DSP problem including DGs with respect to the reliability of the system. The impact of different types of DGs in order to improve the system reliability are modeled and studied by the adequacy transition rate using the Markov model. The objective functions of this optimization problem are power losses, DGs installation and operation cost, reliability indices such as energy not supplied, average interruption frequency, and average interruption duration. Since this optimization problem has a nonlinear complex nature, classical mathematical methods cannot guarantee to achieve the global optimum solution. To solve this problem, a fuzzy interactive multi-objective particle swarm optimization is developed based on Pareto solutions. The model resolves decision variables as follows: location, size, and type of the DG units. The results on IEEE 34-bus distribution system show the effectiveness of the proposed method rather than previous works for reliability assessment.
A new distribution power system planning approach for distributed generations with respect to reliability assessment
Hasanvand, Saeed (author) / Nayeripour, Majid (author) / Fallahzadeh-Abarghouei, Hossein (author)
2016-07-01
14 pages
Article (Journal)
Electronic Resource
English
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