Green Energy Trading in Distribution Network Considering Credit Value

doi:10.16183/j.cnki.jsjtu.2022.130

Abstract

Abstract:

Developing distributed renewable energy is vital to energy system transformation, while organizing market trading will promote the production and consumption of distributed renewable energy. However, the uncertainty of renewable energy output causes deviations during market delivery, which threats the security of distribution system operation. It is still difficult for existing market-based trading mechanisms to motivate market players to reduce the deviations. Therefore, this paper gives guidance to the honest delivery behaviors of distributed green energy producers by quantifying credit costs. Considering the strategic bidding behaviors of distributed green energy producers, it establishes a market model taking the credit costs into account. Then, it proposed an iterative algorithm based on the optimal response theory to calculate the Nash equilibria of the green energy market. The results of the case study show that the market mechanism proposed can give guidance to the integrity behavior of green energy producers in an incentive-compatible way, reducing the delivery deviation while improving social welfare.

Key words: distributed energy resource, green market trading, credit value, Nash equilibrium

CLC Number:

TM732

WU Qing, JIA Qiangang, YAN Zheng, ZHONG Zhun, GUO Song, LI Zhiyong. Green Energy Trading in Distribution Network Considering Credit Value[J]. Journal of Shanghai Jiao Tong University, 2024, 58(1): 11-18.

Figures/Tables 8

Fig.1

Fig.2

Fig.3

Fig.4

Tab.1

Parameters of case study

参数	数值
$c i g G$ /(美元·MW^-1)	29.75/11.87/27.46/12.78/13.99
$c i, m i n g G$ 、 $c i, m a x g G$ / (美元·MW^-1)	0/60
$d j g L$ /(美元·MW^-1)	42.96/49.74/60.24/68.85/64.15/61.55 67.74/53.25/65.90/64.12/80.83/75.79
$l j g L$ /(美元·MW^-2)	0.32/0.79/0.55/0.26/0.10/0.30 0.45/0.71/0.33/0.13/0.49/0.47
$P i, m i n g G$ 、 $P i, m a x g G$ /MW	0/30
$P i, m i n g L$ 、 $P i, m a x g L$ /MW	0/50
P_xy_,max/MW	20
K_i	30
λ/(美元·MW^-1)	30
φ	1
μ	0.1
Δt/min	5

Tab.1

Fig.5

Fig.6

Fig.7

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