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  本文關鍵詞：含分布式電源的配電網絡優(yōu)化重構　出處：《寧夏大學》2017年碩士論文　論文類型：學位論文

  更多相關文章： 配電網重構 分布式電源 量子粒子群 粒子群

【摘要】：分布式電源(Distributed Generation,DG)并入配電網后,不僅會使電網由單電源變成多電源的復雜網絡,而且對網損、電壓、潮流大小與方向以及電網運行的安全可靠性等產生嚴重的影響。因此,必須改變配電系統(tǒng)的分段開關與聯(lián)絡開關對配電網進行優(yōu)化重構,達到降低網損、均衡負荷以及提高節(jié)點電壓的目的。根據風力發(fā)電、光伏發(fā)電、燃料電池和微型燃氣輪機四種DG的性能以及并網接口形式,將其分為PQ型、PV型、PI型和PQ(Ⅴ)型,同時建立符合配電網運行的模型;將多種潮流算法進行對比,結合DG的模型,選擇前推回代法對含DG的配電網進行潮流計算;以網損最小為目標函數,建立配電網重構模型,并給出重構需要滿足的約束條件;對比二進制粒子群算法(Binary Particle Swarms Optimization Algorithm,BPSO)與量子粒子群算法(Quantum Particle Swarm Optimizattion Algorithm,QPSO)的性能,結合其應用到配電網優(yōu)化重構的優(yōu)缺點,提出一種改進的算法-加權的二進制量子粒子群算法(Weighted Binary Quantum Particle Swarm Optimization Algorithm,WBQPSO);以IEEE 33節(jié)點的標準網絡為例,分別應用BPSO算法和WBQPSO算法對含DG的配電網進行優(yōu)化重構,結果表明WBQPSO算法的收斂速度與降低網損的能力優(yōu)于BPSO算法,且提高了電壓的穩(wěn)定性,驗證了新算法的可行性。
[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.

【學位授予單位】：寧夏大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM711

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