Earticle

초록

영어

Suitable location and optimal sizing are impact on voltage stability margin of the distributed system. It is important to accurately simulate the random output active power of Distributed Generation (DG). In order to model uncertainties of intermittent distributed generation and load, this paper proposes a multi-scenario tree model of wind-photovoltaic-load using multiple scenarios technique based on the Wasserstein distance metrics, which generates asymptotically optimal scenario. And in this paper, a multi-objective optimizes control model with scenario tree is presented, which including objectives that are the total active power losses and the voltage deviations of the bus. Moreover, a new hybrid Honey Bee Mating Optimization and Particle Swarm Optimization (HBMO-PSO) algorithm is proposed to solved the problems. In the HBMO-PSO algorithm, the mating process is corrected, which the PSO algorithm is combined with the HBMO algorithm to improve the performance of HBMO. Finally, a typical IEEE 33-bus distribution test system is used to investigate the feasibility and effectiveness of the proposed method. Simulation results illustrate the correctness and adaptability of the proposed model and the improved algorithm.

목차

Abstract
 1. Introduction
 2. Multi-scenario Tree Models of Wind-Photovoltaic-Load
  2.1 Asymptotically Optimal Scenario Generation based on Wasserstein Distance Metric
  2.2 Asymptotically Optimal scenario of Wind Power and PV
  2.3 Multi-Scenario Tree Models of Wind-Photovoltaic-Load
 3. Multi-Objective Model Based on Asymptotically Optimal Scenario and Its Solution
  3.1 Objective Functions
  3.2 Hybrid HBMO-PSO Algorithm for Multi-Objective Optimization
 4. Simulation Results
  4.1 Optimal Scenarios Analysis
  4.2 Multi-Objective Optimized Results
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Lizhen Wu [ College of Electrical and Information Engineering of Lanzhou University of Technology, Lanzhou, Gansu,730050,China ]
• Xusheng Yang [ College of Electrical and Information Engineering of Lanzhou University of Technology, Lanzhou, Gansu,730050,China ]
• Hu Zhou [ Gansu Electric Power Corporation, Lanzhou, Gansu, 730030, China ]
• Xiaohong Hao [ College of Electrical and Information Engineering of Lanzhou University of Technology, Lanzhou, Gansu,730050,China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605