In the power market environment, due to the uncertainty of the reservoir inflow and the pool purchase price, it is very important to research power generation risk dispatch of hydropower plants, taking into considerat...In the power market environment, due to the uncertainty of the reservoir inflow and the pool purchase price, it is very important to research power generation risk dispatch of hydropower plants, taking into consideration the benefits and risk control of both sides. This paper investigates power generation risk dispatch of hydropower plants in the market environment, and proposes a mathematical model which considers maximization of benefits and risk control, reflects control willingness of risk and benefits, resolves it with the PSO algorithm, finding more economic and reasonable results. The feasibility and validity of the model and resolving methods are verified by an example.展开更多
Public buildings present substantial demand re sponse(DR)potential,which can participate in the power sys tem operation.However,most public buildings exhibit a high degree of uncertainties due to incomplete informatio...Public buildings present substantial demand re sponse(DR)potential,which can participate in the power sys tem operation.However,most public buildings exhibit a high degree of uncertainties due to incomplete information,varying thermal parameters,and stochastic user behaviors,which hin ders incorporating the public buildings into power system oper ation.To address the problem,this paper proposes an interval DR potential evaluation method and a risk dispatch model to integrate public buildings with uncertainties into power system operation.Firstly,the DR evaluation is developed based on the equivalent thermal parameter(ETP)model,actual outdoor tem perature data,and air conditioning(AC)consumption data.To quantify the uncertainties of public buildings,the interval evalu ation is given employing the linear regression method consider ing the confidence bound.Utilizing the evaluation results,the risk dispatch model is proposed to allocate public building re serve based on the chance constrained programming(CCP).Fi nally,the proposed risk dispatch model is reformulated to a mixed-integer second-order cone programming(MISOCP)for its solution.The proposed evaluation method and the risk dis patch model are validated based on the modified IEEE 39-bus system and actual building data obtained from a southern city in China.展开更多
为发挥多元用户侧资源协同作用,提高虚拟电厂(virtual power plant,VPP)参与电碳联合市场收益,降低风光及电价不确定性引起的风险,提出了一种市场环境下考虑多元用户侧资源协同的VPP低碳优化调度方法。首先,基于各种用户侧资源协同作用...为发挥多元用户侧资源协同作用,提高虚拟电厂(virtual power plant,VPP)参与电碳联合市场收益,降低风光及电价不确定性引起的风险,提出了一种市场环境下考虑多元用户侧资源协同的VPP低碳优化调度方法。首先,基于各种用户侧资源协同作用,形成了VPP参与电碳联合市场运行策略;然后,建立VPP奖惩阶梯型碳交易模型,根据碳交易量设定不同交易区间价格,实现了碳电耦合;最后,构建VPP参与电碳联合市场的低碳优化调度模型,在模型中引入条件风险价值,衡量市场收益与风险的关系,并将模型转换为混合整数线性规划问题求解。通过算例分析,证明了该方法可以发挥用户侧资源的协同作用,有效应对风光及电价的不确定性风险,实现VPP参与市场运行的经济性和低碳性。展开更多
文摘In the power market environment, due to the uncertainty of the reservoir inflow and the pool purchase price, it is very important to research power generation risk dispatch of hydropower plants, taking into consideration the benefits and risk control of both sides. This paper investigates power generation risk dispatch of hydropower plants in the market environment, and proposes a mathematical model which considers maximization of benefits and risk control, reflects control willingness of risk and benefits, resolves it with the PSO algorithm, finding more economic and reasonable results. The feasibility and validity of the model and resolving methods are verified by an example.
基金supported by the National Science Fund for Distinguished Young Scholars(No.52125702)the Key Science and Technology Project of China Southern Power Grid Corporation(No.090000KK52220020).
文摘Public buildings present substantial demand re sponse(DR)potential,which can participate in the power sys tem operation.However,most public buildings exhibit a high degree of uncertainties due to incomplete information,varying thermal parameters,and stochastic user behaviors,which hin ders incorporating the public buildings into power system oper ation.To address the problem,this paper proposes an interval DR potential evaluation method and a risk dispatch model to integrate public buildings with uncertainties into power system operation.Firstly,the DR evaluation is developed based on the equivalent thermal parameter(ETP)model,actual outdoor tem perature data,and air conditioning(AC)consumption data.To quantify the uncertainties of public buildings,the interval evalu ation is given employing the linear regression method consider ing the confidence bound.Utilizing the evaluation results,the risk dispatch model is proposed to allocate public building re serve based on the chance constrained programming(CCP).Fi nally,the proposed risk dispatch model is reformulated to a mixed-integer second-order cone programming(MISOCP)for its solution.The proposed evaluation method and the risk dis patch model are validated based on the modified IEEE 39-bus system and actual building data obtained from a southern city in China.
文摘为发挥多元用户侧资源协同作用,提高虚拟电厂(virtual power plant,VPP)参与电碳联合市场收益,降低风光及电价不确定性引起的风险,提出了一种市场环境下考虑多元用户侧资源协同的VPP低碳优化调度方法。首先,基于各种用户侧资源协同作用,形成了VPP参与电碳联合市场运行策略;然后,建立VPP奖惩阶梯型碳交易模型,根据碳交易量设定不同交易区间价格,实现了碳电耦合;最后,构建VPP参与电碳联合市场的低碳优化调度模型,在模型中引入条件风险价值,衡量市场收益与风险的关系,并将模型转换为混合整数线性规划问题求解。通过算例分析,证明了该方法可以发挥用户侧资源的协同作用,有效应对风光及电价的不确定性风险,实现VPP参与市场运行的经济性和低碳性。
