IEEE39BusSystem

优秀论论及对应源码。电力系统配电网的无功优化规划是保证配电网安全、经济运行的一项有效手段，是降低网损、提高电压质量的重要措施。因此，电力系统配电网无功优化规划问题的研究，既具有理论意义，又具有工程实际应用价值。配电系统最优规划问题是一个复杂的非线性组合优化问题，至今未得到很好的解决。Tabu搜索(TS—Tabu search)算法是近年来出现的用于求解组合优化问题的一种高效的启发式搜索技术。本文采用固定并联电容器作为研究对象对系统进行无功补偿，并利用智能优化方法得到使配电网损耗降低最大对应的最优节点解。并在补偿容量的邻域搜索方面做了改进，采用扩大邻域搜索范围以达到全局最优的效果。用IEEE的两个算例得出的计算结果证明了这种方法的可行性。(Excellent deals on the corresponding source code. Power system with reactive power distribution network optimal planning is to ensure the safety, economic operation of an effective means of reducing the net loss, an important measure to improve the voltage quality. Therefore, the power system reactive power optimization of distribution network planning study, not only has theoretical significance, but also has practical engineering value. Optimal distribution system planning is a complicated nonlinear optimization problem, has not been solved. Tabu Search (TS-Tabu search) algorithm is used in recent years for solving combinatorial optimization problems an efficient heuristic search techniques. In this paper, as the research object of fixed shunt capacitors for reactive power compensation system, and using intelligent optimization method to reduce the loss of the largest distribution network node corresponding to the optimal solution. Compensation capacity in the neighborhood search are)

仿真模型中，通过1000MW(5OOkv, 2kA)的直流输电线路从一个500KV、5000mva、50hz的电力系统EM向另一个345kv10000mva50hz的电力系统Ell输送电力。整流桥和逆变桥均由两个通用6脉冲桥搭建而成。交流滤波器直接接在交流母线上，它包括11次、13次和更高次谐波等单调支路。总共提供600mvar的容量。(In the simulation model, the 1000MW (5OOkv, 2kA) DC transmission line transfers power from one 500KV, 5000MVA, 50Hz power system EM to another 345kv10000mva50hz power system Ell. The rectifier bridge and the invert bridge are all constructed by two general 6 pulse bridges. The AC filter is connected directly to the AC bus, which includes 11 or 13 and higher harmonics. A total capacity of 600mvar is provided.)

风力发电机PMSG模型设计，simulink仿真文件(PMSG model design of wind power generator, Simulink simulation file)

区域综合能源系统中热-电联合建模，通过使用扩展牛顿拉夫逊算法进行统一求解，同时得出系统内热力系统和电力系统的状态参数。(The joint thermal-electrical modeling of regional integrated energy system is solved by using the extended Newton-Raphson algorithm, and the state parameters of the thermal system and the power system in the system are obtained.)

PSCAD下实现研究VSC-HVDC的次同步振荡特性 模型很不好找哦(PSCAD research under the VSC-HVDC model of sub-synchronous oscillation is不好找Oh)

本文基于MATLAB对海洋钻井平台的系泊系统进行了优化处理(This paper optimizes the mooring system of offshore drilling platform based on MATLAB.)

说明：  本模型为单项你变模型，将直流电逆变成方波，分别采用四个脉冲发生器控制四个晶闸管，经滤波后得到输出结果。(This model is a single variable model, which transforms the direct current into square wave, uses four pulse generators to control four thyristors, and gets the output result after filtering.)

电力系统中的IEEE3机9节点系统图及相应的参数，并且有利用PSCAD/EMTDC搭建的系统模型。(Power system IEEE3 machine 9-bus system diagram and the corresponding parameters, and there use of PSCAD/EMTDC to build the system model.)

说明：  先dq变换然后构建电压外环电流内环的双闭环系统，实现了statcom的前馈解耦控制。可以解决大负载投入的电压降落问题。(First, dq transform is used to construct the double closed-loop system of voltage outer loop and current inner loop, which realizes the feedforward decoupling control of STATCOM. It can solve the voltage drop problem of large load input.)

该文件是优秀论文并带有相应的源码。在Matlab软件平台上，对所提出的基于遗传算法的电力系统电力市场分段竞价交易算法进行了阶梯型报价曲线、线性报价曲线这两种常用报价曲线情况下的算例验证，计算结果显示算法的寻优效果因报价曲线性质的不同而略有区别，但两种情况均可得到优化的购电费用。实验结果证明了该算法应用于分段竞价模型的有效性和可行性，且不受报价曲线形式的限制。(The document is an excellent paper with a corresponding source code. In the Matlab software platform for the proposed genetic algorithm-based power systems market segment auction algorithms offer ladder-type curve, the two commonly used linear bidding curve bidding curve example in case of validation, the results show algorithm optimization results for the different nature of bidding curve slightly different, but both cases can be optimized for power purchase costs. Experimental results show that the algorithm is applied to sub-effectiveness and feasibility of bidding model, and is not limited form of bidding curve.)