基于人工智能算法的配網(wǎng)重構(gòu)和拓?fù)浞治龅难芯?/H1>
發(fā)布時(shí)間：2018-08-17 15:38
【摘要】：配電網(wǎng)網(wǎng)絡(luò)重構(gòu)是配電系統(tǒng)極為重要的優(yōu)化手段。隨著配電網(wǎng)網(wǎng)絡(luò)結(jié)構(gòu)的日趨復(fù)雜和人們對電能質(zhì)量要求的提高,配電網(wǎng)自動(dòng)化成為必然的趨勢,其中,網(wǎng)絡(luò)重構(gòu)是實(shí)現(xiàn)配電網(wǎng)自動(dòng)化的關(guān)鍵環(huán)節(jié)。配電網(wǎng)重構(gòu)是一種不需要增加新設(shè)備的優(yōu)化方法,僅通過聯(lián)絡(luò)開關(guān)或者分段開關(guān)的開合狀態(tài)的調(diào)整,從而改善電網(wǎng)品質(zhì)。重構(gòu)可有效提高電網(wǎng)運(yùn)行的安全性,與用戶用電息息相關(guān),因此,網(wǎng)絡(luò)重構(gòu)作為一個(gè)重要優(yōu)化手段,對配電系統(tǒng)的重要性日益顯現(xiàn)。配電網(wǎng)絡(luò)拓?fù)浞治鍪请娏ο到y(tǒng)分析的基礎(chǔ)板塊,也是配電系統(tǒng)其它分析順利進(jìn)行的保障。在闡述了配電網(wǎng)網(wǎng)絡(luò)設(shè)備的描述、配電網(wǎng)的簡化、以及面向?qū)ο蠹夹g(shù)在配電網(wǎng)中的應(yīng)用等基礎(chǔ)上,本文探討了配電網(wǎng)絡(luò)拓?fù)涞纳珊团潆娋W(wǎng)拓?fù)浣Y(jié)構(gòu)的遍歷方法,包括廣度優(yōu)先搜索方法和深度優(yōu)先搜索方法。并在配電網(wǎng)拓?fù)浣Y(jié)構(gòu)的遍歷方法的基礎(chǔ)上,研究了靜態(tài)拓?fù)涞纳珊蛣?dòng)態(tài)拓?fù)涞纳�。包括對靜態(tài)拓?fù)涞牡戎倒?jié)點(diǎn)分析和電氣島分析進(jìn)行介紹,以及動(dòng)態(tài)拓?fù)涓欀袛嗦菲鳌伴_”、“合”兩種狀態(tài)下的等值節(jié)點(diǎn)與電氣島的分析。最后,以一個(gè)簡易的網(wǎng)絡(luò)模型作為算例,進(jìn)行配電網(wǎng)拓?fù)浞治鲅芯�。通過配電網(wǎng)拓?fù)浞治?文中利用圖論理論簡化配電網(wǎng)拓?fù)浣Y(jié)構(gòu),在原始數(shù)據(jù)的基礎(chǔ)上建立拓?fù)浣Y(jié)構(gòu)表,并形成層次關(guān)系,簡化潮流計(jì)算的復(fù)雜性。系統(tǒng)的闡述了當(dāng)前的配電網(wǎng)潮流計(jì)算的方法,利用拓?fù)浞治鲂纬傻膶哟侮P(guān)系進(jìn)行前推回帶算法進(jìn)行潮流計(jì)算,并結(jié)合算例驗(yàn)證。隨著時(shí)代的變遷,配網(wǎng)重構(gòu)的方法也日趨多樣化,配電網(wǎng)重構(gòu)方法主要有數(shù)學(xué)優(yōu)化方法、啟發(fā)式方法以及人工智能算法等。其中,人工智能算法在配網(wǎng)重構(gòu)中的運(yùn)用得到了相當(dāng)?shù)闹匾�。本文將混沌技術(shù)引入二進(jìn)制粒子群算法中,并對其進(jìn)行改進(jìn),以克服二進(jìn)制粒子群算法容易陷入局部最優(yōu)的缺點(diǎn),得到更精確地優(yōu)化結(jié)果。文章最后,以網(wǎng)絡(luò)損耗最小為目標(biāo)函數(shù)進(jìn)行網(wǎng)絡(luò)重構(gòu),將算法進(jìn)行matlab編碼,并通過算例進(jìn)行驗(yàn)算。實(shí)驗(yàn)結(jié)果證明,該方法能有效降低網(wǎng)絡(luò)損耗。同時(shí),提高了最低節(jié)點(diǎn)電壓。通過算例驗(yàn)證,該方法具有可行性和有效性。
[Abstract]:Distribution network reconfiguration is an important optimization method of distribution system. With the increasing complexity of distribution network structure and the improvement of power quality requirements, distribution network automation has become an inevitable trend. Among them, network reconfiguration is the key link to realize distribution network automation. Distribution network reconfiguration is an optimization method that does not need to add new equipment. It can only improve the quality of power network by adjusting the opening and closing state of the connection switch or segmented switch. Reconfiguration can effectively improve the security of power grid operation and is closely related to consumer power consumption. Therefore, as an important means of optimization, network reconfiguration is becoming increasingly important to distribution system. Distribution network topology analysis is the basic block of power system analysis, and it is also the guarantee of other analysis of distribution system. Based on the description of distribution network equipment, the simplification of distribution network and the application of object-oriented technology in distribution network, this paper discusses the generation of distribution network topology and the traversal method of distribution network topology structure. It includes breadth first search method and depth first search method. Based on the traversal method of distribution network topology, the generation of static topology and dynamic topology is studied. This paper introduces the equivalent node analysis and the electric island analysis of the static topology, as well as the analysis of the equivalent node and the electric island in the two states of the circuit breaker "on" and "close" in the dynamic topology tracking. Finally, a simple network model is taken as an example to analyze the topology of distribution network. Based on the topology analysis of distribution network, the topology structure of distribution network is simplified by using graph theory, the topological structure table is established on the basis of original data, and the hierarchical relationship is formed, which simplifies the complexity of power flow calculation. The current power flow calculation method of distribution network is systematically expounded. The forward push back band algorithm is used to calculate the power flow by using the hierarchical relation formed by topological analysis, and an example is given to verify it. With the change of times, the methods of distribution network reconfiguration are becoming more and more diverse. The methods of distribution network reconfiguration include mathematical optimization, heuristic and artificial intelligence. Among them, the application of artificial intelligence algorithm in distribution network reconstruction has received considerable attention. This paper introduces chaos technique into binary particle swarm optimization algorithm and improves it to overcome the shortcoming of binary particle swarm optimization algorithm which is easy to fall into local optimum and obtain more accurate optimization results. Finally, taking the minimum network loss as the objective function to reconstruct the network, the algorithm is coded by matlab and verified by an example. Experimental results show that the proposed method can effectively reduce the network loss. At the same time, the minimum node voltage is increased. An example shows that the method is feasible and effective.
【學(xué)位授予單位】：福州大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM711;TP18
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[Abstract]:Distribution network reconfiguration is an important optimization method of distribution system. With the increasing complexity of distribution network structure and the improvement of power quality requirements, distribution network automation has become an inevitable trend. Among them, network reconfiguration is the key link to realize distribution network automation. Distribution network reconfiguration is an optimization method that does not need to add new equipment. It can only improve the quality of power network by adjusting the opening and closing state of the connection switch or segmented switch. Reconfiguration can effectively improve the security of power grid operation and is closely related to consumer power consumption. Therefore, as an important means of optimization, network reconfiguration is becoming increasingly important to distribution system. Distribution network topology analysis is the basic block of power system analysis, and it is also the guarantee of other analysis of distribution system. Based on the description of distribution network equipment, the simplification of distribution network and the application of object-oriented technology in distribution network, this paper discusses the generation of distribution network topology and the traversal method of distribution network topology structure. It includes breadth first search method and depth first search method. Based on the traversal method of distribution network topology, the generation of static topology and dynamic topology is studied. This paper introduces the equivalent node analysis and the electric island analysis of the static topology, as well as the analysis of the equivalent node and the electric island in the two states of the circuit breaker "on" and "close" in the dynamic topology tracking. Finally, a simple network model is taken as an example to analyze the topology of distribution network. Based on the topology analysis of distribution network, the topology structure of distribution network is simplified by using graph theory, the topological structure table is established on the basis of original data, and the hierarchical relationship is formed, which simplifies the complexity of power flow calculation. The current power flow calculation method of distribution network is systematically expounded. The forward push back band algorithm is used to calculate the power flow by using the hierarchical relation formed by topological analysis, and an example is given to verify it. With the change of times, the methods of distribution network reconfiguration are becoming more and more diverse. The methods of distribution network reconfiguration include mathematical optimization, heuristic and artificial intelligence. Among them, the application of artificial intelligence algorithm in distribution network reconstruction has received considerable attention. This paper introduces chaos technique into binary particle swarm optimization algorithm and improves it to overcome the shortcoming of binary particle swarm optimization algorithm which is easy to fall into local optimum and obtain more accurate optimization results. Finally, taking the minimum network loss as the objective function to reconstruct the network, the algorithm is coded by matlab and verified by an example. Experimental results show that the proposed method can effectively reduce the network loss. At the same time, the minimum node voltage is increased. An example shows that the method is feasible and effective.
【學(xué)位授予單位】：福州大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM711;TP18
【相似文獻(xiàn)】
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