| The depletion of fossil fuels and the growing environmental crisis have garnered global attention.Being the world’s largest industrial nation,China has put forward the "double carbon" development strategy,striving to achieve the two goals of "carbon neutrality" and "carbon peak" by 2060 and 2030.The new rise of renewable energy such as wind and solar energy can effectively promote the realization of the dual-carbon strategy,however,upon connection to the power system,renewable energy faces significant challenges such as high volatility.The challenges facing the power system and consumption of renewable energy are a threat to their safe and efficient operation.To mitigate this,virtual power plant can use a combination of renewable wind power generation and carbon-green certificate trading mechanisms to participate in power market transactions.Virtual power plant provides a dual benefit,enhancing both environmental and economic advantages.Therefore,it is crucial to research the optimal scheduling of virtual power plant that consider both the economic operation of the system and the unpredictability of solar output.This research will help promote the achievement of low-carbon economic operation of the power system.To address this issue,a distributed and robust low-carbon economic scheduling strategy is proposed in this paper for virtual power plant.The strategy takes into account the carbongreen card trading mechanism.The study focuses on the economic system of virtual power plant,taking into consideration the unpredictability of wind,the optimal scheduling strategy of the virtual power plant under the carbon-green card joint transaction is studied.After analyzing the operational characteristics of the virtual power plant,a robust low-carbon optimal scheduling method is developed.This method involves the distribution of the virtual power plant based on conditional risk value.Research the coordination mechanism of demand response and user load,and provide feasible suggestions for promoting peak shaving and valley filling and optimal dispatching of the new intelligent power system.This study endeavors to explore the following research themes:(1)The paper establishes a mathematical model for virtual power plant operating under the carbon-green certificate joint trading mechanism.The study begins by examining the impact of the carbon quota allocation mechanism on the pricing mechanism of carbon emission rights.A ladder carbon economic trading model is then constructed based on this study;Secondly,combined with the operational characteristics of virtual power plant unit units,the framework model of virtual power plant proposed in this paper is constructed to establish the foundation for the future optimal scheduling model of virtual power plant.(2)A distributed robust low-carbon economic scheduling model for virtual power plant is constructed.According to the mathematical model established for the core unit of the virtual power plant,the virtual power plant is divided into thermal and electrical bus structures and constraints are implemented.Based on the construction of the basic model of the virtual power plant,the carbon-green card joint trading mechanism is introduced,In addition,the study considers the fluctuation in output of wind and solar energy within the system.The probability distribution fuzzy set is constructed by taking the 1-norm and ∞-norm into account.Using available historical data from the scheduling system,the paper establishes a two-stage distributed robust optimal scheduling model for virtual power plant.This model takes into account the uncertainty of wind and solar energy.The column constraint generation algorithm is used to solve the model.Numeric simulations are conducted to verify the effectiveness and robustness of the proposed model.(3)A low-carbon economic scheduling strategy for virtual power plant based on conditional value at risk is proposed.In view of the uncertainty risk of wind and power output in the process of optimal scheduling of virtual power plant in this paper,CVaR and PDR technologies are introduced on the basis of the economic scheduling model of virtual power plant,and a low-carbon economic scheduling model of demand response of virtual power plant based on CVaR is constructed.The risk measurement and optimization of virtual power plant are carried out from both sides of the source-load,so as to achieve optimal scheduling and effectively control the operational risk of virtual power plant.This paper explores the role of carbon trading mechanism in the process of system operation under the condition of considering conditional value at risk,reveals the role of conditional value at risk preference correlation coefficient in the process of system optimal scheduling,and verifies the impact of demand response on the economic scheduling of virtual power plant. |
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