Benefit Equilibrium Model of DGO and DNO in Deregulated Environment Based on ICSA

CHEN Zheng,ZENG Ming,ZHANG Xiang,CHANG Qicheng,OU Peng,SONG Yihang,QIAN Qiqi,OUYANG Shaojie,LIU Yingxin

Electric Power Construction ›› 2015, Vol. 36 ›› Issue (8) : 7-14.

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Electric Power Construction ›› 2015, Vol. 36 ›› Issue (8) : 7-14. DOI: 10.3969/j.issn.1000-7229.2015.08.002

Benefit Equilibrium Model of DGO and DNO in Deregulated Environment Based on ICSA

  • CHEN Zheng1,ZENG Ming2,ZHANG Xiang1,CHANG Qicheng3,OU Peng1,2,SONG Yihang1,QIAN Qiqi2,OUYANG Shaojie2,LIU Yingxin2
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Abstract

 In recent years, distributed generation obtains rapid development for its energy-saving and environment protection. However, the network access of distributed energy will cause certain impact on the interests of the distribution network operators (DNO), which may hinder harmonious development of them. This pape reconciled the both interests of DNO and distributed generation owners (DGO), and studied the combined optimization problem of distributed generation investment and distribution network construction planning. The profit distribution coefficient was introduced during the construction of objective function so as to achieve the win-win purpose. Besides, the model needed to satisfy both the security and stability operation of distribution network and the emission reduction targets constraints. And the two-point estimate model was used to determine the uncertainty factors in the model. This paper used improved cuckoo search algorithm (ICSA) to solve the constructed model. At last, a IEEE33 nodes distribution system was used to verify the feasibility and effectiveness of the provided model by cases comparison.

Key words

deregulation / benefit equilibrium / distributed generation owner / distribution network operator / improved cuckoo search algorithm

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CHEN Zheng,ZENG Ming,ZHANG Xiang,CHANG Qicheng,OU Peng,SONG Yihang,QIAN Qiqi,OUYANG Shaojie,LIU Yingxin. Benefit Equilibrium Model of DGO and DNO in Deregulated Environment Based on ICSA[J]. Electric Power Construction. 2015, 36(8): 7-14 https://doi.org/10.3969/j.issn.1000-7229.2015.08.002

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Funding

Project Supported by National Natural Science Foundation of China(NSFC)(71271082).

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