Research on multi-objective optimal block bidding model for electricity market

Rui Ma, Hongwen Yan, Renmu He, Peng Wang, Huachun Yang

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


This paper presents a multi-objective optimization block-bidding model for electricity markets, which take the minimum of the pool purchase cost and the minimum of the pollution into consideration. It proposes two algorithms to solve the multi-objective block-bidding model. One of them is fuzzy algorithm. Firstly, solving two single-objective blocks bidding model by normal algorithm and gaining the value of objective function and the bidding results. Then fuzzifying the multi-objective by using fuzzy sets theory and reformulating it into a single-objective problem by means of max-min operator. Finally, acquiring the bidding results for multi-objective optimal by solving the problem. Another algorithm is constraint algorithm. Regarding the minimum of pollution air as a constraint of the minimum pool purchase cost single-objective optimal problem, and solving the problem and gaining the bidding results of multi-objective optimization. The numerical results show the validity of the model and two algorithms. Besides all benefits of the block bidding model, the model has the benefits of multi-objective optimization, therefore, it can ensure the fairness of multi-factor on generation bidder in electricity market.

Original languageEnglish
Pages (from-to)54-58
Number of pages5
JournalDianli Xitong Zidonghua/Automation of Electric Power Systems
Issue number10
StatePublished - 25 May 2004
Externally publishedYes


  • Block bidding
  • Constrained algorithm
  • Electricity market
  • Fuzzy algorithm
  • Multi-objective optimization


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