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author:

Zhuang, Li-Rong (Zhuang, Li-Rong.) [1] | Cai, Jin-Ding (Cai, Jin-Ding.) [2] | Li, Tian-You (Li, Tian-You.) [3]

Indexed by:

EI Scopus PKU

Abstract:

Many regional power plants do not possess the ability to compete on provincial electricity market under present conditions, which are normally dispatched by regional power utility. The mathematical model of daily power purchase is set up for regional power utility, which takes the minimal total cost as the objective function and considers constraints of power balance, supply and demand balance, generation ability and transmission ability, as well as the influence of network loss allocation. An improved chaos-genetic algorithm with faster evolution speed and better precision is brought forward for it. The model and algorithm are applied to the power purchase of a region. Results show that, compared with other methods, the cost with consideration of loss allocation is reduced by about 1.9%.

Keyword:

Electricity Genetic algorithms Mathematical models Optimization Power plants

Community:

  • [ 1 ] [Zhuang, Li-Rong]Fuzhou University, Fuzhou 350002, China
  • [ 2 ] [Cai, Jin-Ding]Fuzhou University, Fuzhou 350002, China
  • [ 3 ] [Li, Tian-You]Xiamen Electric Power Bureau, Xiamen 361004, China

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Source :

Electric Power Automation Equipment

ISSN: 1006-6047

CN: 32-1318/TM

Year: 2006

Issue: 12

Volume: 26

Page: 13-17

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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