Non-cooperative regulation coordination based on game theory for wind farm clusters during ramping events

Qi, Yongzhi; Liu, Yutian; Wu, Qiuwei

doi:10.1016/j.energy.2017.05.060

Cited by 12 publications

(1 citation statement)

References 31 publications

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“…Zhao et al [21] developed an evolutionary game model for electric power enterprises, analyzed the standard for renewable energy portfolio, explored the strategy of electric power enterprises for symbiotic evolution, and discussed the key parameters that affect the dynamic evolution of these enterprises. Qi et al [22] proposed a noncooperative coordinated strategy of wind farm cluster based on game theory. Zhang and Li [23] constructed an evolutionary game model of cooperative haze control between governments on different levels, and used the model to analyze the dynamic evolution path of game system and the equilibrium strategy under no constraint, compensation mechanism, or penalty mechanism.…”

Section: Introductionmentioning

confidence: 99%

Analysis on Information Sharing in Forest Product Supply Chain Based on Evolutionary Game Theory

Tang¹,

Wang²,

Zhang³

et al. 2019

JESA

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This paper mainly explores the decision-making of enterprises on information sharing (IS) in forest product supply chain (FPSC). Firstly, several influencing factors of the IS between FPSC enterprises were identified according to the relevant literature, namely, the IS degree, information absorption capacity, the IS cost, incentive coefficient, penalty coefficient, risk coefficient and synergy coefficient. Based on these factors, the author constructed an evolutionary game model for the decision-making of the IS. Then, the dynamic evolution of the IS between FPSC enterprises was simulated on the Matlab, followed by the discussion on the impact of each factor on the IS decisions of each side. The results show that the IS between FPSC enterprises is promoted by the IS degree, information absorption capacity, incentive coefficient, penalty coefficient and synergy coefficient, but suppressed by the IS cost and risk coefficient. Finally, four countermeasures were suggested to enhance the IS between FPSC enterprises, including raising the IS awareness, enhancing information absorption capacity, creating an IS mechanism, and strengthening IS coordination. The research findings provide a reference for improving the IS between FPSC enterprises and enhancing the performance of the FPSC.

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Section: Introductionmentioning

confidence: 99%