针对近年来电力系统短路电流普遍超标的问题,提出计及短路电流约束的机组组合和支路投切(unit commitment and transmission switching,UC-TS)联合优化模型及其求解策略。由于同时利用机组组合和支路投切两种手段来实现对短路电流的控...针对近年来电力系统短路电流普遍超标的问题,提出计及短路电流约束的机组组合和支路投切(unit commitment and transmission switching,UC-TS)联合优化模型及其求解策略。由于同时利用机组组合和支路投切两种手段来实现对短路电流的控制。模型不但能够提供最优发电计划,还能提供满足短路电流约束的网络最优运行方式。由于模型的复杂度相对于未考虑短路电流约束的UC模型而言要大的多,对于规模较大的系统,直接求解难度较大,由此,提出模型化简及分解求解策略。最后通过算例证明了模型及求解方法的有效性。展开更多
The generation expansion planning is one of complex mixed-integer optimization problems, which involves a large number of continuous or discrete decision variables and constraints. In this paper, an interior point wit...The generation expansion planning is one of complex mixed-integer optimization problems, which involves a large number of continuous or discrete decision variables and constraints. In this paper, an interior point with cutting plane （IP/CP） method is proposed to solve the mixed-integer optimization problem of the electrical power generation expansion planning. The IP/CP method could improve the overall efficiency of the solution and reduce the computational time. Proposed method is combined with the Bender＇s decomposition technique in order to decompose the generation expansion problem into a master investment problem and a slave operational problem. The numerical example is presented to compare with the effectiveness of the proposed algorithm.展开更多
文摘针对近年来电力系统短路电流普遍超标的问题,提出计及短路电流约束的机组组合和支路投切(unit commitment and transmission switching,UC-TS)联合优化模型及其求解策略。由于同时利用机组组合和支路投切两种手段来实现对短路电流的控制。模型不但能够提供最优发电计划,还能提供满足短路电流约束的网络最优运行方式。由于模型的复杂度相对于未考虑短路电流约束的UC模型而言要大的多,对于规模较大的系统,直接求解难度较大,由此,提出模型化简及分解求解策略。最后通过算例证明了模型及求解方法的有效性。
文摘The generation expansion planning is one of complex mixed-integer optimization problems, which involves a large number of continuous or discrete decision variables and constraints. In this paper, an interior point with cutting plane （IP/CP） method is proposed to solve the mixed-integer optimization problem of the electrical power generation expansion planning. The IP/CP method could improve the overall efficiency of the solution and reduce the computational time. Proposed method is combined with the Bender＇s decomposition technique in order to decompose the generation expansion problem into a master investment problem and a slave operational problem. The numerical example is presented to compare with the effectiveness of the proposed algorithm.
