Abstract
Micro-grid project transfer is the primary issue of micro-grid development. The efficiency and quality of the micro-grid project transfer directly affect the quality of micro-grid project construction and development, which is very important for the sustainable development of micro-grid. This paper constructs a multi-attribute auction model of micro-grid project transfer, which reflects the characteristics of micro-grid system and the interests of stakeholders, calculates the optimal bidding strategy and analyzes the influence of relevant factors on auction equilibrium by multi-stage dynamic game with complete information, and makes a numerical simulation analysis. Results indicate that the optimal strategy of auction mechanism is positively related to power quality, energy storage quality, and carbon emissions. Different from the previous lowest price winning mechanism, the auction mechanism formed in this paper emphasizes that the energy suppliers which provide the comprehensive optimization of power quality, energy storage quality, carbon emissions, and price will win the auction, when both the project owners and energy suppliers maximize their benefits under this auction mechanism. The auction mechanism is effective because it is in line with the principle of individual rationality and incentive compatibility. In addition, the number of energy suppliers participating in the auction and the cost of the previous auction are positively related to the auction equilibrium, both of which are adjusting the equilibrium results of the auction. At the same time, the utilization rate of renewable energy and the comprehensive utilization of energy also have a positive impact on the auction equilibrium. In the end, this paper puts forward a series of policy suggestions about micro-grid project auction. The research in this paper is of great significance to improve the auction quality of micro-grid projects and promote the sustainable development of micro-grid.
Highlights
As an important form of smart grid, micro-grid has received large attention in recent years
Our research is not a simple extension of the previous research, but redesigns the auction model and variables based on the characteristics of micro-grid system and the interests of stakeholders, reconstructs the utility function and return function with the combination of power quality, energy storage quality, and carbon emissions, and distinguishes different types of energy suppliers with three variables as parameters, so as to derive the optimal strategy
From the previous analysis of the impact of carbon emissions, we find that as the micro-grid system enhances the utilization rate of renewable energy and clean energy, it will reduce the level of carbon emissions in the micro-grid system
Summary
As an important form of smart grid, micro-grid has received large attention in recent years. Fang et al [27] used a multi-attribute reverse auction to study the auction of electricity purchase, insisting that when purchasing electricity, the large grid should consider price and the carbon emissions of the power generation company so as to enhance the quality of auction in electricity purchase. In order to study the micro-grid project transfer and design the corresponding transfer mechanism, we construct a multi-attribute auction model that reflects the characteristics of micro-grid system and the interests of stake holders. Our research is not a simple extension of the previous research, but redesigns the auction model and variables based on the characteristics of micro-grid system and the interests of stakeholders, reconstructs the utility function and return function with the combination of power quality, energy storage quality, and carbon emissions, and distinguishes different types of energy suppliers with three variables as parameters, so as to derive the optimal strategy. The rest of the paper is arranged as follows: Section 2, introduces literature review; In Section 3, we introduce the assumptions, build the models, and analyze auction mechanisms based on multi-stage dynamic game; In Section 4, we perform a numerical analysis to further analyze auction strategy; In Section 5, we draw the conclusions
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