含分布式电源的配电网络优化重构

发布时间：2018-01-14 16:09

本文关键词：含分布式电源的配电网络优化重构　出处：《宁夏大学》2017年硕士论文　论文类型：学位论文

【摘要】：分布式电源(Distributed Generation,DG)并入配电网后,不仅会使电网由单电源变成多电源的复杂网络,而且对网损、电压、潮流大小与方向以及电网运行的安全可靠性等产生严重的影响。因此,必须改变配电系统的分段开关与联络开关对配电网进行优化重构,达到降低网损、均衡负荷以及提高节点电压的目的。根据风力发电、光伏发电、燃料电池和微型燃气轮机四种DG的性能以及并网接口形式,将其分为PQ型、PV型、PI型和PQ(Ⅴ)型,同时建立符合配电网运行的模型;将多种潮流算法进行对比,结合DG的模型,选择前推回代法对含DG的配电网进行潮流计算;以网损最小为目标函数,建立配电网重构模型,并给出重构需要满足的约束条件;对比二进制粒子群算法(Binary Particle Swarms Optimization Algorithm,BPSO)与量子粒子群算法(Quantum Particle Swarm Optimizattion Algorithm,QPSO)的性能,结合其应用到配电网优化重构的优缺点,提出一种改进的算法-加权的二进制量子粒子群算法(Weighted Binary Quantum Particle Swarm Optimization Algorithm,WBQPSO);以IEEE 33节点的标准网络为例,分别应用BPSO算法和WBQPSO算法对含DG的配电网进行优化重构,结果表明WBQPSO算法的收敛速度与降低网损的能力优于BPSO算法,且提高了电压的稳定性,验证了新算法的可行性。
[Abstract]:Distributed power supply (Distributed Generation, DG) into the distribution network, the complex network will not only make the power grid by a single power supply into power, and the voltage of the network loss, seriously affect the size and direction of flow and the safety of power grid reliability. Therefore, switches and contact switches must change the distribution system optimization of distribution network, reduce network loss, improve voltage and load balancing purposes. According to the wind power, photovoltaic power generation, fuel cell and micro gas turbine four DG performance and grid interface, which can be divided into PQ type, PV type, PI type and PQ type (V), established at the same time in accordance with the operation of the power distribution network model; by comparing various power flow algorithm, combined with the DG model, select the back / forward sweep method for distribution network with DG flow calculation; the minimum network loss as the objective function, establish the model of distribution network reconfiguration, And give the reconstruction needs to meet the constraint condition; comparison of binary particle swarm optimization algorithm (Binary Particle Swarms Optimization Algorithm, BPSO) and the quantum particle swarm algorithm (Quantum Particle Swarm Optimizattion Algorithm, QPSO) performance, combined with the advantages and disadvantages of its application to distribution network reconfiguration optimization, proposed binary quantum particle swarm algorithm is an improved algorithm weighted (Weighted Binary Quantum Particle Swarm Optimization Algorithm, WBQPSO); the standard IEEE 33 bus network as an example, BPSO algorithm and WBQPSO algorithm were used to optimize the reconstruction of distribution network with DG, the results show that the convergence speed of WBQPSO algorithm and BPSO algorithm is better than the ability to reduce the network loss and improve the voltage stability. And verify the feasibility of the new algorithm.

【学位授予单位】：宁夏大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM711

【参考文献】