本文選題：分布式電源 + 靜態(tài)網(wǎng)絡(luò)重構(gòu)��； 參考：《浙江大學(xué)》2015年碩士論文

【摘要】：分布式電源(distriuted generation, DG)接入配電網(wǎng)將改變配電網(wǎng)的結(jié)構(gòu)和運行方式,并影響原有的潮流分布、網(wǎng)損及節(jié)點電壓等。配電網(wǎng)重構(gòu)通過改變開關(guān)開合狀態(tài)以調(diào)整網(wǎng)架結(jié)構(gòu),可以有效降低網(wǎng)絡(luò)損耗和提高電壓質(zhì)量。因此,利用配電網(wǎng)網(wǎng)架結(jié)構(gòu)靈活可變的特點對并網(wǎng)分布式電源的位置和容量進行有效規(guī)劃具有一定的理論和現(xiàn)實意義。本文針對配電網(wǎng)網(wǎng)絡(luò)重構(gòu)(包括靜態(tài)重構(gòu)和動態(tài)重構(gòu))和DG優(yōu)化配置這兩點進行研究,主要研究點總結(jié)如下： (1)針對和聲搜索算法的基音調(diào)整在求解配電網(wǎng)重構(gòu)問題時的盲目性,提出基于啟發(fā)式規(guī)則的基音調(diào)整策略,避免盲目的基音調(diào)整。對33節(jié)點系統(tǒng)進行仿真,結(jié)果表明改進后算法的收斂性和尋優(yōu)速度都得到改善。 (2)針對配電網(wǎng)動態(tài)重構(gòu)研究中難以確定最佳重構(gòu)時刻和各時刻對應(yīng)的最佳網(wǎng)架結(jié)構(gòu),提出了配電網(wǎng)動態(tài)重構(gòu)的二步優(yōu)化法。初步優(yōu)化利用最優(yōu)模糊C均值聚類技術(shù)對研究時間區(qū)間內(nèi)的負荷數(shù)據(jù)進行聚類,從而將動態(tài)重構(gòu)問題轉(zhuǎn)為以聚類中心為代表負荷的多個靜態(tài)重構(gòu)子問題,并采用改進和聲搜索算法求解各靜態(tài)重構(gòu)問題；再次優(yōu)化引進效益評估函數(shù),以最小收益閥值判斷是否執(zhí)行初步優(yōu)化中相鄰分段之間的開關(guān)操作。對33節(jié)點系統(tǒng)進行仿真,結(jié)果表明該方法能夠在嚴格限制開關(guān)操作次數(shù)的基礎(chǔ)上得到較優(yōu)解。 (3)針對負荷功率和間歇性DG出力的不確定性和波動性,建立了計及配電網(wǎng)動態(tài)重構(gòu)的DG二層優(yōu)化配置模型。上層模型優(yōu)化DG在配電網(wǎng)中的接入位置和接入容量；下層模型基于上層,模擬含DG的配電網(wǎng)動態(tài)重構(gòu)過程,優(yōu)化各時段的網(wǎng)架結(jié)構(gòu)和可控DG出力。根據(jù)上下層中各優(yōu)化變量的特點,選擇和聲搜索算法和改進和聲搜索算法進行求解。對33節(jié)點系統(tǒng)進行仿真,結(jié)果表明優(yōu)化配置過程中計及配電網(wǎng)動態(tài)重構(gòu)時能夠增強配電網(wǎng)對DG的消納能力,雖然DG配置容量的上升加大了設(shè)備投資成本和運行維護成本,但卻降低了系統(tǒng)的購電成本和排廢成本以及進一步改善了系統(tǒng)的電壓質(zhì)量。
[Abstract]:(distriuted generation, DG) access to the distribution network will change the distribution network structure and operation mode, and affect the original power flow distribution, network loss and node voltage. Distribution network reconfiguration can reduce the network loss and improve the voltage quality by changing the switching state to adjust the grid structure. Therefore, it is of theoretical and practical significance to make use of the flexible and variable structure of distribution network to effectively plan the position and capacity of grid-connected distributed generation. In this paper, the reconfiguration of distribution network (including static reconfiguration and dynamic reconfiguration) and DG optimal configuration are studied. The main research points are summarized as follows: (1) aiming at the blindness of pitch adjustment of harmonic search algorithm in solving the problem of distribution network reconfiguration, a pitch adjustment strategy based on heuristic rules is proposed to avoid blind pitch adjustment. The simulation results of 33-bus system show that the convergence and optimization speed of the improved algorithm are improved. (2) in the study of dynamic reconfiguration of distribution network, it is difficult to determine the optimal reconfiguration time and the optimal grid structure corresponding to each time. A two-step optimization method for dynamic reconfiguration of distribution network is proposed. The optimal fuzzy C-means clustering technique is used to cluster the load data in the study time interval, so that the dynamic reconstruction problem can be transformed into several static reconstruction sub-problems with clustering center as the representative load. The improved harmonic search algorithm is used to solve the static reconstruction problems, and the benefit evaluation function is introduced again, and the minimum benefit threshold is used to determine whether or not the switching operation between adjacent segments in the initial optimization is carried out. The simulation results of the 33-bus system show that the proposed method can obtain a better solution on the basis of strictly limiting the number of switching operations. (3) for the uncertainty and volatility of load power and intermittent DG output, A DG layer 2 optimal configuration model considering dynamic reconfiguration of distribution network is established. The upper layer model optimizes the access position and access capacity of DG in the distribution network, and the lower layer model simulates the dynamic reconfiguration process of distribution network with DG based on the upper layer, and optimizes the network structure and controllable DG output of each period of time. According to the characteristics of each optimization variable in the upper and lower layers, the harmonic search algorithm and the improved harmonic search algorithm are selected to solve the problem. The simulation results of 33-bus system show that the dynamic reconfiguration of distribution network can enhance the ability of DG absorption in the optimal configuration process, although the increase of DG configuration capacity increases the cost of equipment investment and operation and maintenance. However, the cost of power purchase and waste removal is reduced and the voltage quality of the system is further improved.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TM727

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本文編號：2093118