This article describes the background and significance of study of unit commitment.
本文介绍了机组组合的研究背景、研究意义。
Unit commitment is a problem must be taken into consideration when planning generation.
制定发电计划时，机组的启停是必须考虑的问题。
The optimal unit commitment is solved via the Ant Colony Optimization algorithm in this paper.
采用进化优化算法——蚁群优化算法来求解机组最优启停问题。
This paper proposes a new hybrid particle swarm optimization method for unit commitment problem.
该文针对机组组合问题，提出了一种新的混合粒子群优化算法。
Finally, the proposed algorithm was improved for solving the unit commitment with ramp rate constrains.
最后，将算法进行改进用于求解考虑机组爬坡速率的机组组合问题。
An improved particle swarm optimization algorithm embedded with greedy search for solution of unit commitment.
求解机组组合问题的嵌入贪婪搜索机制的改进粒子群优化算法。
A solution to unit commitment via an enhanced binary particle swarm optimization (BPSO) algorithm is presented.
文中提出了一种基于改进离散粒子群优化算法求解机组组合问题的新方法。
In this paper, a DP with successive approximation method is designed for solving the hydropower unit commitment problem.
文章设计了一种逐次逼近动态规划法，可用于求解水电机组的组合问题。
Under the market environment, market clearing price has high uncertainty, which should be considered in self-unit commitment.
市场环境下，出清价格具有高度不确定性，必须在机组自组合决策中给予考虑。
Optimal unit commitment is determined by dynamic programming on the basis of using priority list to limit the combination states.
先按优先顺序法压缩各时段机组组合状态，再用动态规划法进行计算。
With the rise of Power Market, great changes have taken place in the Unit Commitment problem's objective function and constraints.
随着电力市场的兴起，机组优化组合问题的目标函数和约束条件都发生了重大的变化。
Unit commitment scheme problem researched under competitive markets can helping power plants make good security and economic operating schedule.
在市场竞争条件下探讨发电厂机组启停机计划问题，有助于发电厂做好发电机组安全经济运行方案。
For the purpose of practical use a unit commitment method considering transmission losses and line overload constraint is proposed in this paper.
以面向实际应用为目的，提出了一种考虑输电网络损耗及线路过负荷约束的火力发电机起停计划方法。
In this paper we give a survey of several stochastic programming models and algorithms for unit commitment problem under uncertainty load demands.
文章给出在不确定的荷载需求下机组组合问题的一些常见的随机规划模型和算法的综述。
During the programming of the algorithm for the unit commitment problem, the complex constraints often lead the program to bad structure or wrong result.
在为机组组合问题编制算法的过程中，因需要满足错综复杂的约束条件，容易使程序结构混乱、逻辑判断出错，最终导致算法求解失败。
Computing time is greatly decreased and the global optimal solution is gained by using hybrid heuristic progressive optimality approach to unit commitment.
将该启发式方法与逐步动态优化法相结合进行机组最优组合，使计算时间大为减少，同时可保证得到最优解。
This algorithm has successfully solved unit commitment problem and has gained an excellent results through the experiments in 10 units commitment system study.
本算法运用到模拟10台机组的优化组合研究中，取得了很好的效果。
By simulating and analysis of the results of test system using MATLAB, effectiveness and superiority of SFPSO for solving the unit commitment problem are confirmed.
通过对测试系统的MATLAB仿真实验和结果分析验证了随机聚焦粒子群算法用于求解机组组合问题的有效性和优越性。
Unit commitment is an important means to improve operational economic efficiency in traditional power systems and a critical market clearing tool of electricity market.
机组组合是改善传统电力系统运行经济性和电力市场出清的重要手段。
Power system unit commitment, a problem of nonlinear commitment optimization with typical large-scale hybrid integers, is difficult to get an optimal solution in theory.
电力系统机组组合问题是一个典型的大规模混合整数的非线性组合优化问题，很难得到理论上的最优解。
A new approach is presented for solving the unit commitment problem based on network programming techniques the concept of graphs and networks is introduced in this paper.
本文提出了一种新的计算电力系统机组最优组合的算法——网络规划法。
In this paper an improved dynamic programming method to determine unit commitment is proposed. This proposed method is also named interpolated dynamic programming algorithm.
提出了一种确定机组组合的改进动态规划方法，称为插值动态规划算法。
However, the relation between unit commitment risk and forced outage capacity is a discrete distribution, the Lagrangian Relaxation unit commitment algorithm isn't used directly.
但由于机组投运风险水平与机组强迫停运容量呈离散型的分布关系，因而难以与拉格朗日松弛法的机组组合算法有机结合。
However, the relation between unit commitment risk and forced outage capacity is a discrete distribution, the Lagrangian Relaxation unit commitment algorithm isn't used directly.
但由于机组投运风险水平与机组强迫停运容量呈离散型的分布关系，因而难以与拉格朗日松弛法的机组组合算法有机结合。
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