Bivariate Stochastic Optimization Model for Bidding Strategies Considering Competition Among Renewable Power Producers

Jifeng Cheng; Zheng Yan; Xiaoyuan Xu; Han Wang; Yan Zhang; Shuying Zhang

doi:10.17775/CSEEJPES.2020.02950

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Bivariate Stochastic Optimization Model for Bidding Strategies Considering Competition Among Renewable Power Producers

Regular Papers | 更新时间：2026-10-15

- Bivariate Stochastic Optimization Model for Bidding Strategies Considering Competition Among Renewable Power Producers
- Bivariate Stochastic Optimization Model for Bidding Strategies Considering Competition Among Renewable Power Producers
- 中国电机工程学会电力与能源系统学报(英文) 2024年10卷第6期页码：2539-2550
- 作者机构：
  
  Department of Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2020.02950
  中图分类号：
- 纸质出版：2024-11-01
- 稿件说明：
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Jifeng Cheng, Zheng Yan, Xiaoyuan Xu, 等. Bivariate Stochastic Optimization Model for Bidding Strategies Considering Competition Among Renewable Power Producers[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(6):2539-2550.

Jifeng Cheng, Zheng Yan, Xiaoyuan Xu, et al. Bivariate Stochastic Optimization Model for Bidding Strategies Considering Competition Among Renewable Power Producers[J]. CSEE Journal of Power and Energy Systems, 2024, 10(6): 2539-2550.
Jifeng Cheng, Zheng Yan, Xiaoyuan Xu, 等. Bivariate Stochastic Optimization Model for Bidding Strategies Considering Competition Among Renewable Power Producers[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(6):2539-2550. DOI： 10.17775/CSEEJPES.2020.02950.

Jifeng Cheng, Zheng Yan, Xiaoyuan Xu, et al. Bivariate Stochastic Optimization Model for Bidding Strategies Considering Competition Among Renewable Power Producers[J]. CSEE Journal of Power and Energy Systems, 2024, 10(6): 2539-2550. DOI： 10.17775/CSEEJPES.2020.02950.

摘要

Abstract

The competition among renewable power producers (RPPs) may cause the cleared power of RPPs to be less than the bidding power

while the impact of competition is neglected in the existing price-taker methods. To overcome the above deficiency

this paper develops an optimal bidding strategy

considering the competition among RPPs. First

a bivariate stochastic optimization (BSO) model for a bidding strategy is proposed by considering the variable power output of RPPs and the competition among RPPs. Particularly

the cleared power estimated by the demand-supply ratio is a random variable in the proposed BSO model. Then

the Newton method and particle swarm optimization (PSO) are combined to solve the BSO model in which various probability distribution functions (PDFs) of renewable energy generation are considered. Finally

the effectiveness of the proposed method is verified based on the results of a case study

which shows that the proposed model performed better than the traditional chance-constrained programming (CCP) model in power market competition.

关键词

Keywords

references

29. OMIE. Electricity market . [Online ] . Available: http://www.omie.es/filesIflash/ResultadosMercado.swf.

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