The influence of positive bending system on plate crown control was researched. The approximation fullload distribution method for pass scheduling was put forward. This method can not only make full use of the mill ca...The influence of positive bending system on plate crown control was researched. The approximation fullload distribution method for pass scheduling was put forward. This method can not only make full use of the mill capacity with decreased pass number, but also give quality product of excellent flatness.展开更多
在中长期水火发电调度中考虑检修计划的影响是目前中长期水火发电调度面临的难题。利用现代整数代数建模技术，建立发电计划和检修计划协调优化的多场景调度模型。在该模型中，鉴于设备检修计划的连续性，在预测场景树的基础上，将场景...在中长期水火发电调度中考虑检修计划的影响是目前中长期水火发电调度面临的难题。利用现代整数代数建模技术，建立发电计划和检修计划协调优化的多场景调度模型。在该模型中，鉴于设备检修计划的连续性，在预测场景树的基础上，将场景节点划分成不同的场景，通过节点和场景关联矩阵，实现多场景下设备检修模型的构建。同时，鉴于中长期调度计划中发电计划和检修计划对时段间隔要求的不同，分别设置电量相关节点和电力相关节点，实现中长期发电计划和检修计划的协调。上述模型是一个大规模混合整数线性规划（mixed integer linear programming，MILP）问题，采用商用MILP求解器进行求解。大规模实际水火电系统的实例分析结果表明，所提模型和方法是可行、有效的。展开更多
针对水光互补系统各电站补偿关系复杂且补偿效益分摊难以量化的问题,提出一种适用于量化水光互补系统效益补偿关系的求解方法,通过对梯级优化调度及水光互补优化调度后发电量的对比,得出水光互补动态过程指标和静态特性指标,建立水光互...针对水光互补系统各电站补偿关系复杂且补偿效益分摊难以量化的问题,提出一种适用于量化水光互补系统效益补偿关系的求解方法,通过对梯级优化调度及水光互补优化调度后发电量的对比,得出水光互补动态过程指标和静态特性指标,建立水光互补补偿效益分摊模型,并采用改进的客观权重赋权-优劣解距离法(criteria importance through intercriteria correlation-technique for order preference by similarity to an ideal solution,CRITIC-TOPSIS)求解补偿效益分摊比例,明晰各电站之间的损益关系。以澜沧江上游西藏段水光互补清洁能源基地为例进行求解,结果表明该方法考虑梯级水电站与光伏电站间的利益关系,同时兼顾梯级水电站内部的效益得失,分摊结果公平合理,可以平衡各主体之间的利害关系,有利于调动施益主体参与互补运行的积极性,实现清洁能源基地整体效益最大化。展开更多
Due to the intermittency and instability of Wind-Solar energy and easy compensation of hydropower, this study proposes a Wind-Solar-Hydro power optimal scheduling model. This model is aimed at maximizing the total sys...Due to the intermittency and instability of Wind-Solar energy and easy compensation of hydropower, this study proposes a Wind-Solar-Hydro power optimal scheduling model. This model is aimed at maximizing the total system power generation and the minimum ten-day joint output. To effectively optimize the multi-objective model, a new algorithm named non-dominated sorting culture differential evolution algorithm(NSCDE) is proposed. The feasibility of NSCDE was verified through several well-known benchmark problems. It was then applied to the Jinping Wind-Solar-Hydro complementary power generation system. The results demonstrate that NSCDE can provide decision makers a series of optimized scheduling schemes.展开更多
Due to the stochastic and correlated attributes of natural inflows, the mid-term generation scheduling problem for cascaded hydro systems is a very challenging issue.This paper proposes a novel stochastic optimization...Due to the stochastic and correlated attributes of natural inflows, the mid-term generation scheduling problem for cascaded hydro systems is a very challenging issue.This paper proposes a novel stochastic optimization algorithm using Latin hypercube sampling and Cholesky decomposition combined with scenario bundling and sensitivity analysis(LC-SB-SA) to address this problem.To deal with the uncertainty of natural inflows, Latin hypercube sampling is implemented to provide an adequate number of sampling scenarios efficiently, and Cholesky decomposition is introduced to describe the correlated natural inflows among cascaded stations.In addition, to overcome the difficulties in solving the objectives of all the scenarios, scenario bundling and sensitivity analysis algorithms are developed to improve the computational efficiency.Simulation results from both two-station and tenstation systems indicate that the proposed method has the merits in accuracy as well as calculation speed for the midterm cascaded hydro generation scheduling.The consideration of natural inflow correlation makes the formulated problem more realistic.展开更多
文摘The influence of positive bending system on plate crown control was researched. The approximation fullload distribution method for pass scheduling was put forward. This method can not only make full use of the mill capacity with decreased pass number, but also give quality product of excellent flatness.
文摘在中长期水火发电调度中考虑检修计划的影响是目前中长期水火发电调度面临的难题。利用现代整数代数建模技术，建立发电计划和检修计划协调优化的多场景调度模型。在该模型中，鉴于设备检修计划的连续性，在预测场景树的基础上，将场景节点划分成不同的场景，通过节点和场景关联矩阵，实现多场景下设备检修模型的构建。同时，鉴于中长期调度计划中发电计划和检修计划对时段间隔要求的不同，分别设置电量相关节点和电力相关节点，实现中长期发电计划和检修计划的协调。上述模型是一个大规模混合整数线性规划（mixed integer linear programming，MILP）问题，采用商用MILP求解器进行求解。大规模实际水火电系统的实例分析结果表明，所提模型和方法是可行、有效的。
文摘针对水光互补系统各电站补偿关系复杂且补偿效益分摊难以量化的问题,提出一种适用于量化水光互补系统效益补偿关系的求解方法,通过对梯级优化调度及水光互补优化调度后发电量的对比,得出水光互补动态过程指标和静态特性指标,建立水光互补补偿效益分摊模型,并采用改进的客观权重赋权-优劣解距离法(criteria importance through intercriteria correlation-technique for order preference by similarity to an ideal solution,CRITIC-TOPSIS)求解补偿效益分摊比例,明晰各电站之间的损益关系。以澜沧江上游西藏段水光互补清洁能源基地为例进行求解,结果表明该方法考虑梯级水电站与光伏电站间的利益关系,同时兼顾梯级水电站内部的效益得失,分摊结果公平合理,可以平衡各主体之间的利害关系,有利于调动施益主体参与互补运行的积极性,实现清洁能源基地整体效益最大化。
基金supported by the National Key R&D Program of China (2016YFC0402209)the Major Research Plan of the National Natural Science Foundation of China (No. 91647114)
文摘Due to the intermittency and instability of Wind-Solar energy and easy compensation of hydropower, this study proposes a Wind-Solar-Hydro power optimal scheduling model. This model is aimed at maximizing the total system power generation and the minimum ten-day joint output. To effectively optimize the multi-objective model, a new algorithm named non-dominated sorting culture differential evolution algorithm(NSCDE) is proposed. The feasibility of NSCDE was verified through several well-known benchmark problems. It was then applied to the Jinping Wind-Solar-Hydro complementary power generation system. The results demonstrate that NSCDE can provide decision makers a series of optimized scheduling schemes.
基金supported in part by National Natural Science Foundation of China (No.51507100)in part by Shanghai Sailing Program (No.15YF1404600)+1 种基金in part by ‘‘Chen Guang’’ project supported by Shanghai Municipal Education CommissionShanghai Education Development Foundation (No.14CG55)
文摘Due to the stochastic and correlated attributes of natural inflows, the mid-term generation scheduling problem for cascaded hydro systems is a very challenging issue.This paper proposes a novel stochastic optimization algorithm using Latin hypercube sampling and Cholesky decomposition combined with scenario bundling and sensitivity analysis(LC-SB-SA) to address this problem.To deal with the uncertainty of natural inflows, Latin hypercube sampling is implemented to provide an adequate number of sampling scenarios efficiently, and Cholesky decomposition is introduced to describe the correlated natural inflows among cascaded stations.In addition, to overcome the difficulties in solving the objectives of all the scenarios, scenario bundling and sensitivity analysis algorithms are developed to improve the computational efficiency.Simulation results from both two-station and tenstation systems indicate that the proposed method has the merits in accuracy as well as calculation speed for the midterm cascaded hydro generation scheduling.The consideration of natural inflow correlation makes the formulated problem more realistic.
