The electricity-hydrogen integrated energy system(EH-IES)enables synergistic operation of electricity,heat,and hydrogen subsystems,supporting renewable energy integration and efficient multi-energy utilization in futu...The electricity-hydrogen integrated energy system(EH-IES)enables synergistic operation of electricity,heat,and hydrogen subsystems,supporting renewable energy integration and efficient multi-energy utilization in future low carbon societies.However,uncertainties from renewable energy and load variability threaten system safety and economy.Conventional chance-constrained programming(CCP)ensures reliable operation by limiting risk.However,increasing source-load uncertainties that can render CCP models infeasible and exacerbate operational risks.To address this,this paper proposes a risk-adjustable chance-constrained goal programming(RACCGP)model,integrating CCP and goal programming to balance risk and cost based on system risk assessment.An intelligent nonlinear goal programming method based on the state transition algorithm(STA)is developed,along with an improved discretized step transformation,to handle model nonlinearity and enhance computational efficiency.Experimental results show that the proposed model reduces costs while controlling risk compared to traditional CCP,and the solution method outperforms average sample sampling in efficiency and solution quality.展开更多
研究供电公司在两个交易市场中的购电分配策略问题。鉴于机会约束规划是一类随机优化方法,该方法允许在观测到随机变量的实现之前做出决策,只要该决策使得约束条件成立的概率高于某一给定的置信水平,并且能够给决策所引起的风险以显式...研究供电公司在两个交易市场中的购电分配策略问题。鉴于机会约束规划是一类随机优化方法,该方法允许在观测到随机变量的实现之前做出决策,只要该决策使得约束条件成立的概率高于某一给定的置信水平,并且能够给决策所引起的风险以显式的描述,提出基于机会约束规划的供电公司购电分配策略模型,采用M on te-C arlo模拟结合基因算法求解。算例仿真表明,该研究工作为构造考虑风险管理的供电公司购电分配策略问题提供了一个途径。展开更多
基金Project(2022YFC2904502)supported by the National Key Research and Development Program of ChinaProject(62273357)supported by the National Natural Science Foundation of China。
文摘The electricity-hydrogen integrated energy system(EH-IES)enables synergistic operation of electricity,heat,and hydrogen subsystems,supporting renewable energy integration and efficient multi-energy utilization in future low carbon societies.However,uncertainties from renewable energy and load variability threaten system safety and economy.Conventional chance-constrained programming(CCP)ensures reliable operation by limiting risk.However,increasing source-load uncertainties that can render CCP models infeasible and exacerbate operational risks.To address this,this paper proposes a risk-adjustable chance-constrained goal programming(RACCGP)model,integrating CCP and goal programming to balance risk and cost based on system risk assessment.An intelligent nonlinear goal programming method based on the state transition algorithm(STA)is developed,along with an improved discretized step transformation,to handle model nonlinearity and enhance computational efficiency.Experimental results show that the proposed model reduces costs while controlling risk compared to traditional CCP,and the solution method outperforms average sample sampling in efficiency and solution quality.
文摘研究供电公司在两个交易市场中的购电分配策略问题。鉴于机会约束规划是一类随机优化方法,该方法允许在观测到随机变量的实现之前做出决策,只要该决策使得约束条件成立的概率高于某一给定的置信水平,并且能够给决策所引起的风险以显式的描述,提出基于机会约束规划的供电公司购电分配策略模型,采用M on te-C arlo模拟结合基因算法求解。算例仿真表明,该研究工作为构造考虑风险管理的供电公司购电分配策略问题提供了一个途径。
