智能配电网重构方法研究

发布时间：2018-05-06 05:09

本文选题：智能配电网 + 分布式电源　；参考：《湖南大学》2016年硕士论文

【摘要】：随着智能配电网的发展,越来越多的分布式电源接入配电网。分布式电源接入配电网,将对配电网运行、控制与管理产生影响。通过配电网重构实现含分布式电源的配电网优化运行及故障恢复,对于提高配电网的安全经济运行水平,具有重要意义。本文研究含分布式电源的智能配电网优化重构和故障恢复重构方法。首先,分析了四种典型分布式电源的运行控制方式和并网接口类型,将光伏发电、风力发电、微型燃气轮机、燃料电池等常见分布式电源在潮流计算中处理为PQ(V)、 PV四种节点类型,并根据不同节点类型建立相应潮流迭代模型,以IEEE33节点配电系统为例,验证了含分布式电源的配电网潮流算法的正确性。其次,对含分布式电源的配电网建立以有功损耗、负荷均衡及节点电压质量协调最优为目标的重构模型,并采用改进双种群遗传(Improved Dual Population Genetic, IDPG)算法对其求解。IDPG算法采用有自适应规则的混沌局部搜索策略,提高了全局寻优能力。选取IEEE33和PGE69节点配电网络系统,分别对未接入分布式电源、接入单一及多种分布式电源的情况进行重构仿真,结果表明本文算法能快速有效处理含分布式电源的配电网重构问题。最后,提出基于IDPG算法的含分布式电配电网故障恢复重构方法。以能作为孤岛独立供电的分布式电源为中心,建立考虑负荷优先级的孤岛划分模型,将故障发生点下游的失电负荷划分出作为孤岛负荷区域。不能作为孤岛独立供电的分布式电源并入配电网剩余子系统,以网络损耗最小和开关动作次数最小的综合目标函数进行优化重构,采用改进双种群遗传算法对孤岛外配电网实现恢复性重构。并以IEEE33节点配电系统进行仿真分析,结果表明该方法的可行性和有效性。
[Abstract]:With the development of smart distribution network, more and more distributed power sources are connected to the distribution network. The distribution network will be affected by the distribution network access to the distributed power generation, and will have an impact on the operation, control and management of the distribution network. The optimal operation and fault recovery of distribution network with distributed generation are realized by reconfiguration of distribution network. It is of great significance to improve the level of safe and economical operation of distribution network. In this paper, the optimal reconfiguration and fault recovery reconfiguration of smart distribution network with distributed generation are studied. First of all, the operation control mode and grid-connected interface type of four typical distributed power sources are analyzed, including photovoltaic power generation, wind power generation, micro gas turbine. In power flow calculation, fuel cell and other common distributed power supply are processed as four node types of PQV, PV, and the corresponding power flow iteration model is established according to different node types. Taking the distribution system of IEEE33 node as an example, The correctness of the power flow algorithm with distributed generation is verified. Secondly, the reconfiguration model of distribution network with distributed generation is established, which aims at the optimal coordination of active power loss, load balance and node voltage quality. The improved two-population genetic improved Dual Population genetic algorithm (IDPGalgorithm) is used to solve the .IDPG algorithm. The chaotic local search strategy with adaptive rules is used to improve the global optimization ability. IEEE33 and PGE69 node distribution network system are selected to reconfigure the situation of not accessing distributed power supply, accessing single or multiple distributed power sources, respectively. The results show that the proposed algorithm can deal with the distribution network reconfiguration problem with distributed generation quickly and effectively. Finally, a method of fault recovery and reconstruction with distributed distribution network based on IDPG algorithm is proposed. Taking distributed power supply which can be used as isolated power supply as the center, the isolated island partition model considering load priority is established, and the power loss load downstream of fault occurrence point is divided into isolated island load region. The distributed power supply which can not be used as isolated island power supply can not be incorporated into the remaining subsystem of the distribution network. The optimal reconfiguration is based on the comprehensive objective function of the minimum network loss and the minimum number of switching actions. An improved double population genetic algorithm is used to reconstruct the isolated distribution network. The simulation results of IEEE33 node distribution system show that the method is feasible and effective.
【学位授予单位】：湖南大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM711

【相似文献】