計(jì)及自然災(zāi)害與電動(dòng)汽車接入的電力網(wǎng)絡(luò)規(guī)劃及發(fā)展需求評估
發(fā)布時(shí)間：2018-12-23 10:50
【摘要】：隨著間歇性可再生能源的滲透、電動(dòng)汽車等靈活性負(fù)荷的出現(xiàn)以及智能電網(wǎng)的快速發(fā)展,電力系統(tǒng)各個(gè)環(huán)節(jié)涉及的不確定因素逐漸增多。為降低這些不確定因素的影響以充分保證未來電力系統(tǒng)運(yùn)行的安全性和經(jīng)濟(jì)性,需要在電力系統(tǒng)規(guī)劃階段就考慮各種不確定因素的影響。目前,在輸電網(wǎng)絡(luò)規(guī)劃中,大多考慮系統(tǒng)內(nèi)部的不確定因素,同時(shí)計(jì)及外部自然災(zāi)害因素風(fēng)險(xiǎn)的相關(guān)研究較少,而實(shí)際上自然災(zāi)害風(fēng)險(xiǎn)對電力系統(tǒng)的影響很大;在配電系統(tǒng)側(cè),電動(dòng)汽車負(fù)荷的接入和可調(diào)控負(fù)荷是影響配電網(wǎng)絡(luò)規(guī)劃、安全運(yùn)行的重要因素,如何在配電網(wǎng)絡(luò)規(guī)劃中合理計(jì)及充電負(fù)荷和需求側(cè)響應(yīng)資源,也是具有重要意義的課題。在此背景下,本文對相關(guān)問題進(jìn)行了初步研究,主要做了以下幾個(gè)方面的工作:(1)概述了電力系統(tǒng)規(guī)劃中不確定因素建模、電力系統(tǒng)規(guī)劃模型內(nèi)容和求解方法。首先分類總結(jié)電力系統(tǒng)各環(huán)節(jié)出現(xiàn)的不確定因素以及相應(yīng)的建模方法,其次梳理了電力系統(tǒng)規(guī)劃模型的三部分要素,最后對模型求解方法分三類進(jìn)行了概述。(2)發(fā)展了計(jì)及自然災(zāi)害風(fēng)險(xiǎn)的輸電網(wǎng)絡(luò)規(guī)劃模型。首先,確定基于兩類不確定因素的多場景規(guī)劃思路和模型,而后對兩類因素分別構(gòu)建模擬運(yùn)行場景集對規(guī)劃方案進(jìn)行安全校驗(yàn)和風(fēng)險(xiǎn)計(jì)算,采用粒子群優(yōu)化算法結(jié)合分層優(yōu)化思想對模型進(jìn)行求解,最后采用修改的18節(jié)點(diǎn)系統(tǒng)算例說明在充分考慮自然災(zāi)害風(fēng)險(xiǎn)因素的情況下,可以在規(guī)劃方案經(jīng)濟(jì)性與系統(tǒng)風(fēng)險(xiǎn)之間進(jìn)行適當(dāng)折中以獲得綜合較優(yōu)方案。(3)提出了計(jì)及可平移負(fù)荷作用的充電網(wǎng)絡(luò)與配電系統(tǒng)協(xié)同規(guī)劃的模型。首先,介紹了兩類充電設(shè)施定容方式和選址方法,其中采用P中位模型、將充電服務(wù)總成本作為快充站選址優(yōu)化目標(biāo),而后介紹了可平移負(fù)荷模型,之后綜合建立了配電系統(tǒng)與快充網(wǎng)絡(luò)的協(xié)同規(guī)劃模型。通過54節(jié)點(diǎn)系統(tǒng)算例表明了協(xié)同規(guī)劃有利于提高綜合經(jīng)濟(jì)效益,同時(shí)可平移負(fù)荷也有助于改善系統(tǒng)運(yùn)行,間接減少配電系統(tǒng)建設(shè)投資。(4)提出了縣域配電系統(tǒng)發(fā)展需求特征評估分析方法。首先提出了基于馬斯洛理論的縣域配電系統(tǒng)發(fā)展需求層次劃分方法,將配電系統(tǒng)發(fā)展需求劃分為五個(gè)發(fā)展層次,構(gòu)建相應(yīng)的發(fā)展需求特征指標(biāo)集。之后采用表征縣域配電系統(tǒng)不同方面發(fā)展需求的五個(gè)指標(biāo)值進(jìn)行聚類分析,對縣域配電系統(tǒng)的發(fā)展需求進(jìn)行分類評估。最后以實(shí)際算例表明,根據(jù)聚類中心矩陣得出了各大類縣域的發(fā)展需求特點(diǎn)及相應(yīng)的發(fā)展重點(diǎn),為配電系統(tǒng)未來的規(guī)劃、建設(shè)決策提供參考。最后對論文中所作的研究進(jìn)行簡要總結(jié),并指出了該領(lǐng)域有待進(jìn)一步研究的問題。
[Abstract]:With the penetration of intermittent renewable energy, the emergence of flexible loads such as electric vehicles and the rapid development of smart grids, the uncertainties involved in each link of power system are gradually increasing. In order to reduce the influence of these uncertain factors to ensure the safety and economy of power system operation in the future, it is necessary to consider the influence of various uncertain factors in the power system planning stage. At present, in the transmission network planning, most of the uncertain factors within the system are considered, and there are few related studies considering the risk of external natural disasters, but in fact, the impact of natural disaster risk on the power system is very large. On the power distribution system side, the load access and adjustable load of electric vehicle is an important factor affecting the distribution network planning and safe operation. How to reasonably consider the charge load and the demand side response resources in the distribution network planning? It is also a subject of great significance. Under this background, this paper has carried on the preliminary research to the related question, mainly has done the following several aspects work: (1) has summarized the power system planning in the uncertain factor modelling, the power system planning model content and the solution method. Firstly, the paper classifies and summarizes the uncertain factors in each link of power system and the corresponding modeling methods, and then combs the three elements of the power system planning model. Finally, the methods for solving the model are summarized. (2) the transmission network planning model considering the risk of natural disasters is developed. Firstly, the idea and model of multi-scene planning based on two kinds of uncertain factors are determined, and then the simulated running scenario set is constructed to calculate the security and risk of the planning scheme. Particle swarm optimization (PSO) algorithm combined with hierarchical optimization is used to solve the model. Finally, a modified 18-node system example is used to show that the risk factors of natural disasters are fully taken into account. A suitable compromise can be made between the economy of the planning scheme and the system risk in order to obtain a comprehensive optimal scheme. (3) A model of collaborative planning between the charging network and the distribution system considering the translatable load is proposed. Firstly, two types of charging facilities are introduced, including the P-median model, the total cost of charging service as the optimization target of the fast charging station location, and the translatable load model. Then the cooperative programming model of distribution system and fast charge network is established. The example of 54 node system shows that cooperative planning is beneficial to improve the comprehensive economic benefit, and the transportable load is also helpful to improve the operation of the system. Indirect reduction of investment in distribution system construction. (4) A method for evaluation and analysis of development demand characteristics of county distribution system is proposed. In this paper, a method based on Maslow theory is put forward to divide the development demand level of the county distribution system into five levels, and the corresponding characteristic index set of the development demand is constructed. Then cluster analysis is carried out by using five index values which represent the development needs of different aspects of the county distribution system, and the development needs of the county distribution system are classified and evaluated. Finally, a practical example shows that, according to the cluster center matrix, the characteristics of the development needs and the corresponding development emphases of each kind of county area are obtained, which provides a reference for the future planning and construction decision of the distribution system. Finally, the research in this paper is summarized briefly, and the problems in this field are pointed out.
【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】：2017
【分類號】：TM715
[Abstract]:With the penetration of intermittent renewable energy, the emergence of flexible loads such as electric vehicles and the rapid development of smart grids, the uncertainties involved in each link of power system are gradually increasing. In order to reduce the influence of these uncertain factors to ensure the safety and economy of power system operation in the future, it is necessary to consider the influence of various uncertain factors in the power system planning stage. At present, in the transmission network planning, most of the uncertain factors within the system are considered, and there are few related studies considering the risk of external natural disasters, but in fact, the impact of natural disaster risk on the power system is very large. On the power distribution system side, the load access and adjustable load of electric vehicle is an important factor affecting the distribution network planning and safe operation. How to reasonably consider the charge load and the demand side response resources in the distribution network planning? It is also a subject of great significance. Under this background, this paper has carried on the preliminary research to the related question, mainly has done the following several aspects work: (1) has summarized the power system planning in the uncertain factor modelling, the power system planning model content and the solution method. Firstly, the paper classifies and summarizes the uncertain factors in each link of power system and the corresponding modeling methods, and then combs the three elements of the power system planning model. Finally, the methods for solving the model are summarized. (2) the transmission network planning model considering the risk of natural disasters is developed. Firstly, the idea and model of multi-scene planning based on two kinds of uncertain factors are determined, and then the simulated running scenario set is constructed to calculate the security and risk of the planning scheme. Particle swarm optimization (PSO) algorithm combined with hierarchical optimization is used to solve the model. Finally, a modified 18-node system example is used to show that the risk factors of natural disasters are fully taken into account. A suitable compromise can be made between the economy of the planning scheme and the system risk in order to obtain a comprehensive optimal scheme. (3) A model of collaborative planning between the charging network and the distribution system considering the translatable load is proposed. Firstly, two types of charging facilities are introduced, including the P-median model, the total cost of charging service as the optimization target of the fast charging station location, and the translatable load model. Then the cooperative programming model of distribution system and fast charge network is established. The example of 54 node system shows that cooperative planning is beneficial to improve the comprehensive economic benefit, and the transportable load is also helpful to improve the operation of the system. Indirect reduction of investment in distribution system construction. (4) A method for evaluation and analysis of development demand characteristics of county distribution system is proposed. In this paper, a method based on Maslow theory is put forward to divide the development demand level of the county distribution system into five levels, and the corresponding characteristic index set of the development demand is constructed. Then cluster analysis is carried out by using five index values which represent the development needs of different aspects of the county distribution system, and the development needs of the county distribution system are classified and evaluated. Finally, a practical example shows that, according to the cluster center matrix, the characteristics of the development needs and the corresponding development emphases of each kind of county area are obtained, which provides a reference for the future planning and construction decision of the distribution system. Finally, the research in this paper is summarized briefly, and the problems in this field are pointed out.
【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】：2017
【分類號】：TM715
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 程耀華;張寧;康重慶;孟s，
本文編號：2389882
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