本文介绍了机组组合的研究背景、研究意义。
This article describes the background and significance of study 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。
An improved particle swarm optimization algorithm embedded with greedy search for solution of unit commitment.
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。
This paper proposes a new hybrid particle swarm optimization method for unit commitment problem.
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。
Finally, the proposed algorithm was improved for solving the unit commitment with ramp rate constrains.
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。
Optimal unit commitment is determined by dynamic programming on the basis of using priority list to limit the combination states.
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。
Unit commitment is an important means to improve operational economic efficiency in traditional power systems and a critical market clearing tool of electricity market.
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。
In this paper an improved dynamic programming method to determine unit commitment is proposed. This proposed method is also named interpolated dynamic programming algorithm.
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。
A solution to unit commitment via an enhanced binary particle swarm optimization (BPSO) algorithm is presented.
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。
In this paper we give a survey of several stochastic programming models and algorithms for unit commitment problem under uncertainty load demands.
通过分析火电机组的燃料耗量特性和机组启停特性，介绍了机组组合问题中各种成本的计算方法。
By analyzing the characteristics of fuel consumption and start-up cost of thermal power plant, describes the calculation for the various kinds cost of thermal power plant.
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。
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.
不同结算电价机制下，机组组合的目标函数不同，传统机组组合方法必须根据电价机制的不同进行调整。
Different price mechanisms make the objective functions of unit commitment problems different, which causes traditional algorithms must be tuned to solve unit commitment problems in different markets.
研究了基于边际电价的考虑多种约束条件的火电机组电力交易新算法，包括机组组合新算法和经济调度的新算法。
A new power brokerage algorithm based on the SMP is put forward with considerations of various different constraints, which include the new algorithm of unit commitments and economic dispatch.
针对此问题，建立了考虑机群出力约束的机组组合模型，将问题转化为两层多下级无关联的主从递阶单目标决策问题。
The model is translated into a two level single object decision making problem with leader follower strategy with no relation between lower levels.
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。
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.
为了使机组达到最优组合，减少运行成本，研究了基于修正BP人工神经网络与动态搜索的快速算法在机组组合中的运用。
In order to reduce the operation cost and optimize the unit commitment, the fast algorithm about unit commitment based on revised BP ANN (Artificial Neural Network) and dynamic search is discussed.
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.
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。
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。
During the programming of the algorithm for the unit commitment problem, the complex constraints often lead the program to bad structure or wrong result.
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