Virtual power plant(VPP)integrates a variety of distributed renewable energy and energy storage to participate in electricity market transactions,promote the consumption of renewable energy,and improve economic effici...Virtual power plant(VPP)integrates a variety of distributed renewable energy and energy storage to participate in electricity market transactions,promote the consumption of renewable energy,and improve economic efficiency.In this paper,aiming at the uncertainty of distributed wind power and photovoltaic output,considering the coupling relationship between power,carbon trading,and green cardmarket,the optimal operationmodel and bidding scheme of VPP in spot market,carbon trading market,and green card market are established.On this basis,through the Shapley value and independent risk contribution theory in cooperative game theory,the quantitative analysis of the total income and risk contribution of various distributed resources in the virtual power plant is realized.Moreover,the scheduling strategies of virtual power plants under different risk preferences are systematically compared,and the feasibility and accuracy of the combination of Shapley value and independent risk contribution theory in ensuring fair income distribution and reasonable risk assessment are emphasized.A comprehensive solution for virtual power plants in the multi-market environment is constructed,which integrates operation strategy,income distribution mechanism,and risk control system into a unified analysis framework.Through the simulation of multi-scenario examples,the CPLEXsolver inMATLAB software is used to optimize themodel.The proposed joint optimization scheme can increase the profit of VPP participating in carbon trading and green certificate market by 29%.The total revenue of distributed resources managed by VPP is 9%higher than that of individual participation.展开更多
随着分布式新能源和电动汽车等虚拟储能的广泛接入,电力系统的不确定性和低惯量特性变得更加显著,系统的频率运行风险增加,并且主动配电网内部的供需关系呈现出更加灵活多样的特征,导致其与输电网之间的功率交互关系也更加复杂。为此,...随着分布式新能源和电动汽车等虚拟储能的广泛接入,电力系统的不确定性和低惯量特性变得更加显著,系统的频率运行风险增加,并且主动配电网内部的供需关系呈现出更加灵活多样的特征,导致其与输电网之间的功率交互关系也更加复杂。为此,构建了一种基于主动配电网灵活性支撑机制的电-碳-绿证分布式协同优化方法,以充分挖掘输配系统中分布式资源的支撑能力及其碳减排效益。首先,建立了与输配协同系统匹配的动态频率安全约束和基于双向调节模型的主动配电网灵活性支撑机制,提出了输配系统间的电-碳-绿证协同交互框架。为应对新能源出力的不确定性,将两侧子系统中涉及不确定变量的约束建模为联合机会约束。采用交替方向乘子法(alternating direction of multipliers algorithm,ADMM)进行输配系统的分布式协同。仿真结果表明,所提模型能够有效挖掘配电网中分布式资源的支撑潜力,灵活体现主动配电网的向外支撑能力或被支撑需求。与传统方法相比,系统动态频率安全性和输配协同调节灵活性显著提升,总运行成本较输电网单独调度模型降低13.42%,新能源减载量较忽略多市场耦合模型减少16.76%,系统运行经济性和低碳性明显改善。此外,所提出的求解方法比基于传统的样本平均近似方法减少约98%的计算时间,能够实现输配系统的快速分布式协同优化。展开更多
基金funded by the Department of Education of Liaoning Province and was supported by the Basic Scientific Research Project of the Department of Education of Liaoning Province(Grant No.LJ222411632051)and(Grant No.LJKQZ2021085)Natural Science Foundation Project of Liaoning Province(Grant No.2022-BS-222).
文摘Virtual power plant(VPP)integrates a variety of distributed renewable energy and energy storage to participate in electricity market transactions,promote the consumption of renewable energy,and improve economic efficiency.In this paper,aiming at the uncertainty of distributed wind power and photovoltaic output,considering the coupling relationship between power,carbon trading,and green cardmarket,the optimal operationmodel and bidding scheme of VPP in spot market,carbon trading market,and green card market are established.On this basis,through the Shapley value and independent risk contribution theory in cooperative game theory,the quantitative analysis of the total income and risk contribution of various distributed resources in the virtual power plant is realized.Moreover,the scheduling strategies of virtual power plants under different risk preferences are systematically compared,and the feasibility and accuracy of the combination of Shapley value and independent risk contribution theory in ensuring fair income distribution and reasonable risk assessment are emphasized.A comprehensive solution for virtual power plants in the multi-market environment is constructed,which integrates operation strategy,income distribution mechanism,and risk control system into a unified analysis framework.Through the simulation of multi-scenario examples,the CPLEXsolver inMATLAB software is used to optimize themodel.The proposed joint optimization scheme can increase the profit of VPP participating in carbon trading and green certificate market by 29%.The total revenue of distributed resources managed by VPP is 9%higher than that of individual participation.
文摘随着分布式新能源和电动汽车等虚拟储能的广泛接入,电力系统的不确定性和低惯量特性变得更加显著,系统的频率运行风险增加,并且主动配电网内部的供需关系呈现出更加灵活多样的特征,导致其与输电网之间的功率交互关系也更加复杂。为此,构建了一种基于主动配电网灵活性支撑机制的电-碳-绿证分布式协同优化方法,以充分挖掘输配系统中分布式资源的支撑能力及其碳减排效益。首先,建立了与输配协同系统匹配的动态频率安全约束和基于双向调节模型的主动配电网灵活性支撑机制,提出了输配系统间的电-碳-绿证协同交互框架。为应对新能源出力的不确定性,将两侧子系统中涉及不确定变量的约束建模为联合机会约束。采用交替方向乘子法(alternating direction of multipliers algorithm,ADMM)进行输配系统的分布式协同。仿真结果表明,所提模型能够有效挖掘配电网中分布式资源的支撑潜力,灵活体现主动配电网的向外支撑能力或被支撑需求。与传统方法相比,系统动态频率安全性和输配协同调节灵活性显著提升,总运行成本较输电网单独调度模型降低13.42%,新能源减载量较忽略多市场耦合模型减少16.76%,系统运行经济性和低碳性明显改善。此外,所提出的求解方法比基于传统的样本平均近似方法减少约98%的计算时间,能够实现输配系统的快速分布式协同优化。
