Earticle

초록

영어

There are strong randomness in wind power, its output is not controllable. Large scale wind power grid-connection to dispatch system brings new uncertainty. This paper constructs the wind-fire random optimal model based on combined MIPSO algorithm and achieves the multi-objective optimizations on the minimization of power cost and pollution emissions of thermal power units. Firstly, wind power outputs can be forecasted by utilizing BP neural network algorithm. Then random multi-objective optimal solution is obtained through MIPSO algorithm. Finally, multi-objective optimal scheduling is illustrated by using the IEEE-30 node. The results show that the combination arithmetic solution set uniform distribution, predict accuracy and qualified rate were 0.9962 and 0.7651, using MIPSO algorithm is out of the solution of the highest degree of coordination, get each time specific unit output of the plan, according to the calculation results make corresponding power generation plan, to access a fairly large wind power dispatch system has the actual reference value, so the proposed method is feasible and effective.

목차

Abstract
 1. Introduction
 2. The Wind-thermal Power Dispatching Multi-objective Mathematical Model
  2.1. The Objective function
  2.2. Constraint conditions
 3. BP Combined with Immune Particle Swarm Algorithm
  3.1. The structure of the BP neural network
  3.2 BP- -MIPSO algorithm steps
 4．Example and Analysis
 5. The Results Discussed
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Min Lu [ State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University, Chongqing, 400044 ]
• Mi Zhao [ State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University, Chongqing, 400044 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605