This paper simulates in detail the different DC control modes: such as constant current (CC) constant voltage(CV) mode, constant current (CC)-constant extinction angle (CEA), constant ignite angle (CIA)-deduction current control (DCC) and the two emergency control: Voltage Dependent Current Order Limitation (VDCOL) and Recovery of DC system, discusses the effects of DC control on the risk indices of probabilistic transient stability of hybrid AC/DC power systems, It investigates and compares the statistical results of the modified EPRI-36 bus system, demonstrates that the different DC control modes may have positive or negative effects on the transient stability under different systems, and points out the necessity to optimizing and coordinating different DC control modes.

该文提出了一种基于Benders分解法的优化算法，将电力市场下的长期发输电联合检修计划问题分解为多目标整数规划和随机规划两大问题进行分散协调，利用改进的隐枚举法和基于直流潮流牟发输电组合系统可靠性评估模型分别求解主问题以及子问题。目标函数中考虑了停电损失费用，从而体现出可靠性与经济性的综合运筹。应用该文提出的方法对IEEE-RBTS系统和IEEE-RTS系统进行了计算，结果表明该讲法是合理、有效的。

文中建立了风电场的稳态分析模型，该模型考虑了风电场的尾流效应、风电机组输出功率与尖速比和滑差等之间的函数关系，结合异步风力发电机工作原理，将异步风力发电机的滑差修正量引入到雅可比矩阵中，使潮流计算迭代过程仍保持牛顿－拉夫逊法所具有的平方收敛速度；还在该模型和常规 PQ 模型基础上提出了简化模型。文中将所提出模型用于接有风电场的IEEE14节点测试系统的潮流计算，并对结果加以对比分析。

建立了基于蒙特卡罗仿真的含风电场的发输电系统可靠性分析模型，该模型不仅考虑了风速的随机性、风电机组强迫停运率及其与气候的相关性，而且计及了输电网络故障率和输电线路有功功率限制。将该模型应用于含风电场的电力系统仿真，按照在满足系统安全约束条件的前提下充分利用风电的原则，对系统进行模拟调度，计算出能反映风电价值的可靠性指标，为风电场的规划与运行提供了重要的参考价值。

通过与常规电网相联，分布式发电DG(Distributed Generation)将会在电力系统中扮演越来越重要的角色.讨论了DG的经济与环境效益，分析了DG并网及对常规电力系统规划、电能质量以及保护、可靠性等多方面的影响，强调了开展DG技术研究和应用的必要性。

该文详细地模拟了直流系统中三种不同的计算模型、三种不同的调节方式和两种紧急控制措施；重点讨论了模型和调节方式对交直流混合电力系统暂态稳定性的影响，并以修改后的 EPRI-36 系统为例，借助于概率分析的方法，对各种模型和控制措施的作用进行了统计比较；讨论了在交直流混合系统中，采用不同的计算模型和调节方式对暂态稳定性可能出现的不同效果；证明了在交直流系统的理论计算和工程应用中，选择合理的直流模型、调节方式和控制参数的重要性。

采用概率方法对组合电力系统的充分性和稳定性进行综合评估。涉及内容包括元件运行状态模拟、网络拓扑分析、潮流计算、暂态稳定计算、有功发电再调度、无功－电压校正等的数学建模，多种紧急控制措施和发电再调度的模拟。文中给出了组合电力系统概率充分性和概率稳定性的综合评估算法流程和指标体系，并对ＩＥＥＥ测试系统的计算结果进行了分析，其结果证明了概率综合评估算法的必要性和可行性。

对于包括发电系统和输电系统在内的组合电力系统，传统的概率可靠性评估方法虽可计算各种停电指标，但不能反映系统的相对安全水平和安全裕度。该文在电力系统的静态和动态安全性能综合评估算法的基础上，分析了系统各种运行状态的原因、后果及持续时间，在对现有电力系统运行状态划分方法进行分析比较后，提出了新的系统状态定义框架、状态分析的数学模型及状态风险指标定义。文中所定义的系统状态兼顾了电力系统的静态和动态性能、故障原因和故障后果，可分别计算出各计算模块相应的状态指标，为分析和找出制约系统安全性和可靠性的主要因素奠定了基础。

This paper applies Monte-Carlo sampling method in reliability evaluation of composite power system. Performance of system is studied in both static and dynamic aspects on the basis of detailed modeling of state of all the elements. The main work includes element state sampling, network topology analysis, load flow calculation, step-by-step (SBS) transient simulation, real power generation re-dispatching, reactive power and voltage correction, and introduction of various emergency control measures (ECMs) and security and economic strategy. It constructs integrated framework and risk index system of composite power system evaluation.

With the interconnection of independent power systems, serious accidence rarely occurs due to single equipment outage. However when severe fault such as cascading failure occurs, blackout will cause major loss and should be warned in advance. Traditionally it’s very difficult to analyze cascading failures. Failures modes are too numerous to enumerate. Fault parameters may be continuous, such as fault position and duration, or discrete such as fault type and performance of protection systems. Performance of protection relays and emergency control measures should also be simulated in cascading failures analysis. A hybrid transient simulation method is applied in the paper, which combines the merits of deterministic and probabilistic methods. Original fault element is artificially designated. Fault parameter and performance of protection relays are sampled according to its probability distribution. Emergency control measures such as load curtailment and generator tripping, and protection systems such as over load tripping are simulated. By this way cascading failures with larger probability and serious effect can be automatically filtered out. Result and calculation speed in IEEE test system and an actual bulk system shows inspiring prospect in online application.