Dissertation > Excellent graduate degree dissertation topics show

Optimal Planning for Distributed Generation in Distribution Network Based on Improved Particle Swarm Optimization

Author: LiYongKai
Tutor: ZhangJianHua
School: North China Electric Power University (Beijing)
Course: Proceedings of the
Keywords: Distributed Power Multi-objective planning Environmental benefits Improved particle swarm optimization
CLC: TM715
Type: Master's thesis
Year: 2011
Downloads: 270
Quote: 0
Read: Download Dissertation

Abstract


With the the the the the the increasing depletion of of of the of fossil fuels and its the brought about of the environment problem , the all countries in the world are in the spare no effort to the development of the the the of the Distributed power generation of technology the main by in order to of renewable energy . Distributed power generation has a alleviate the environmental pollution , to improve the the the the quality of of electrical energy , to improve power supply reliability , able to meet the the many advantages of of the the energy sustainable the development of and , etc. , and Therefore the distributed power generation with the large power grids the combination of , is the comprehensive utilization of the existing resources and equipment , to provide users with reliable and the the best way to of the high-quality electrical energy , this also on the the distributed power supply planning put forward a new the challenges of . The of this article the establishment of a taking into account the and environmental - effectiveness of the the largest , the smallest the cost of investment , the network loss is minimum , power outage loss the the smallest Distributed power supply the of the new model of of the multi- target planning in the when the the run of the node isolated island , in the environment - effectiveness aspects of , to consider a of the environment the value of of the pollutants as well as on the pollution emissions of of the matter is to impose fines. Against the the traditional intelligent optimize the to will appear the the convergence speed is slow , the precision is low- the problem of by the when the in the Solving Distributed power supply planning , the algorithm , put forward the the An Improved the particle swarm algorithm ( IPSO ) . The The algorithm First of all through the the the the simplex method to improve the the quality of the of the initial particle , and then based on the the the ideological of the fuzzy inference , the take advantage of of the fuzzy controller Adaptive Dynamic parameters of the adjust the the algorithm of the , and adopt the the of the to adapt to degrees of of the simulated annealing algorithm adjust the particle to evaluation of the the the new location in the after the particle adjust the the pros and cons . Finally in order to the the 33 node equipped with power grid system for the the count the cases of to carried out the multi-objective planning on the the distributed power supply , results verify the a the the the of the person the feasibility of to appreciate the the reasonable - sexual and algorithm of of of the model of the referred to in and robustness of the .

Related Dissertations

  1. Analysis of Water Resources Carrying Capacity Based on a System Dynamic Model and System Optimization,X26
  2. The Research on Distribution Network Protection Strategy Based on the Analysis of Fault Characteristics of Inverter-based Distributed Generation,TM77
  3. Research on Distributed Precoding in IMT-Advanced,TN919.3
  4. Research on the Political Recommendations and Evaluation Mechanism of Smart Grid’s DSM,TM73
  5. The improved intelligent algorithm - based electric locomotive traction transformer fault diagnosis technology research,U269.6
  6. Research on the Impact of Supply Chain Information Sharing on Environment Performance,F274
  7. Optimality Conditions and Duality for Non-smooth Multi-objective Programming with Generalized B-invariant Functions,O221.6
  8. Major Efficiency of Multiobjective Programming with Generalized Convexity,O221.6
  9. A Study on the System of Environmental Agreements,X-01
  10. The Research on Intelligent Methods of Power Transformer Fault Diagnosis,TM41
  11. Research of Intelligent Elevator Group Control System Based on Multi-Objective Planning Algorithm,TU857
  12. Research on Multiple Obejective Constraint-based Routing Algorithm in Support of Failure Recovery,TP393.02
  13. The Utilization of Rainwater Resources in Dalian,TV213.9
  14. Soft-sensor Method of Circulating Ash Utilization in CFB-FGD Process Based on RBF Neural Network,X701.3
  15. The hydrometallurgy electrolysis process energy consumption optimization Control Research and application,TF813
  16. Astrategy Using APF with SVC to Improve Micro Gird’s Electric Power Quality,TM714.3
  17. Fault Characteristics of Distributed Generators and Micro-grid Protection,TM771
  18. Analyzing the Pumped Storage Station Auxiliary Services Compensation Mechanism under the Electric Market Condition,TV743
  19. Chen Bridge Zhengzhou Sewage Treatment and Reuse Project Evaluation,X505
  20. Theoretical Calculation and Experimental Study on Electrostatic Precipitation of the Turbocharged Oxygen-riched Combustion Gas,X701.2
  21. Optimization Control Strategy based on the the microgrid trend of multi-agent technology,TM727

CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Theory and Analysis > Power system planning
© 2012 www.DissertationTopic.Net  Mobile