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Multi-objective Intelligent Distribution Network Planning Study With DG Units

Posted on:2017-02-18Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y ShangFull Text:PDF
GTID:2272330488983556Subject:Software engineering
Abstract/Summary:PDF Full Text Request
For the rapid development of the national economy, the side of the distribution network load is increasing, how to reasonable planning of distribution network and make it with the main grid in which the optimal way connected to is the current important issue. The traditional distribution network planning is unreasonable, unable to do optimization of the economic optimum,minimum network loss and environment optimum target. Based on distributed power units is located at or near the load center of power, its power in tens of kilowatts to tens of megawatt by module type distributed in the clean power generation facilities which near the load, the distributed power units make the power is economic, efficient and reliable. The combination of large power grid and distributed power supply is considered to be the development direction of electric power industry in twenty-first Century, which can reduce investment, reduce energy consumption and improve the reliability of power system and improve voltage. On this basis, this paper is aimed at distributed power units switch in the distribution network, to guarantee the multi-objective optimization which makes up with the stability of the sensitive point voltage, the minimum of network loss and the environment optimum, and achieve collaborative planning between distribution network and main power system.This paper firstly analyzed various types of distributed generation and the influence of distributed generation connect into the distribution network, through the analysis of the model and calculation, we can obtain the sensitive point voltage, according to the load curve of the power grid in an area to set up the needs of the load uncertainty model, this paper selected Quantum-behaved Particle Swarm optimization algorithm to optimize model; then, the simulation model was built in the MATLAB, this paper will use the standard model IEEE 14 nodes to replace the main power system, distribution network will be repalced by the standard model of the IEEE33 nodes, when the voltage of the sensitive point is most stable, the network loss is minimum and the environment is optimal, for the realization of the distributed power locating and sizing, when the distribution network load nodes is increasing,we can get the grid-connected optimization scheme, and the optimal planning scheme of distribution network and main network are collaborated; finally according to the analyze and summarize of the optimal solution, completed the system function display and implementation, and for the distribution network planning make a summary in the future development.
Keywords/Search Tags:distributed generation, sensitive voltage, collaborative planning, multi-objective, Quantum-behaved Particle Swarm optimization algorithm
PDF Full Text Request
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