基于分時潮流追蹤和概率潮流的輸電固定成本分?jǐn)?/H1>
發(fā)布時間：2018-09-16 19:08
【摘要】：隨著電力體制改革的全面深化,輸配電價改革也進(jìn)入了一個全新的階段。理順電價形成機(jī)制,通過市場競爭確定發(fā)、售電價,輸配電價將逐步過渡到按“準(zhǔn)許成本加合理收益”原則、分電壓等級核定,從而形成完整的電價傳導(dǎo)機(jī)制,是電力體制改革各項工作中的關(guān)鍵環(huán)節(jié)。大力推進(jìn)輸配電價改革,能夠使電網(wǎng)企業(yè)更加專注于電網(wǎng)資產(chǎn)運營和提高輸配電服務(wù)水平,促進(jìn)電網(wǎng)企業(yè)的可持續(xù)健康發(fā)展。在新的輸配電價機(jī)制的制定過程中,要遵循科學(xué)、合理、有效的基本原則,同時滿足電網(wǎng)成本歸集、分?jǐn)偟木?xì)化要求。自2005年發(fā)布的《輸配電價管理暫行辦法(發(fā)改價格[2005]514號)》之后,我國省級電網(wǎng)內(nèi)部輸配電價定價方法及管理辦法已經(jīng)初步形成,但跨省跨區(qū)輸配電價仍有待深入研究。特高壓輸電網(wǎng)成本的合理分?jǐn)偸切纬煽缡^(qū)輸配電價的基礎(chǔ),所以研究跨省區(qū)電網(wǎng)成本的合理分?jǐn)偩哂蟹浅Ｖ匾睦碚摵同F(xiàn)實意義。目前部分電力市場化的國家和地區(qū)所采用的方法一般都基于郵票法,可操作性較強(qiáng),但考慮的因素比較單一,在精細(xì)化方面略有不足。提高分?jǐn)偡椒ǖ目茖W(xué)性、合理性,主要有兩種策略,一是對方法的原始數(shù)據(jù)進(jìn)行合理的收集,二是對方法的原理步驟進(jìn)行科學(xué)的規(guī)制。基于以上考慮,本文提出了兩種分別基于分時潮流追蹤和概率潮流的輸電固定成本方法。首先,論文提出了考慮多時刻潮流追蹤結(jié)果的成本分?jǐn)偡椒ā７椒ㄟx取時段內(nèi)(如一個季度)24時刻的典型潮流數(shù)據(jù),對這個24組潮流數(shù)據(jù)分別進(jìn)行一次潮流追蹤計算,即每個用戶對每條線路有24個潮流追蹤結(jié)果。為了在線路的成本分?jǐn)傔^程中體現(xiàn)峰荷責(zé)任的原則,選取24個追蹤結(jié)果中的最大值作為用戶分?jǐn)偩�路的依據(jù)。通過IEEE30節(jié)點系統(tǒng)進(jìn)行了成本分?jǐn)偨Y(jié)果測算,說明了方法能夠較好地體現(xiàn)線路成本分?jǐn)偟姆搴韶?zé)任原則,并且在一定程度上避免了分?jǐn)偨Y(jié)果的偶然性。其次,考慮到潮流有一個較長時段內(nèi)是動態(tài)變化的,使用單一的典型時刻潮流進(jìn)行輸電成本難免會帶有一定的主觀性。論文提出了基于潮流追蹤法結(jié)合概率潮流思想的輸電固定成本分?jǐn)偡椒�。該方法對原始�?shù)據(jù)沒有特殊要求,不需要進(jìn)行典型時刻潮流的選取。其總體思路是,將各節(jié)點功率視為輸入變量,追蹤結(jié)果視為輸出變量,在已知輸入變量概率分布的前提下,通過解析法求得輸出變量的概率分布,從而進(jìn)行成本分?jǐn)�。采用IEEE30節(jié)點系統(tǒng)對此方法進(jìn)行測試,結(jié)果表明該方法能夠綜合考慮時段內(nèi)各個時刻的功率數(shù)據(jù),最大程度地避免了采用單一時刻潮流追蹤分?jǐn)傒旊娋W(wǎng)成本帶來的不公平問題。
[Abstract]:With the deepening of electric power system reform, transmission and distribution price reform has entered a new stage. Straighten out the formation mechanism of electricity price, determine the price of electricity generation, sale, transmission and distribution through market competition, and gradually transition to the principle of "permitted cost plus reasonable income" and examine and approve the level of voltage, thus forming a complete transmission mechanism of electricity price. It is a key link in the reform of electric power system. Vigorously promoting the reform of transmission and distribution price can make the power grid enterprises pay more attention to the operation of power network assets and improve the level of transmission and distribution services, and promote the sustainable and healthy development of power grid enterprises. In the process of formulating the new transmission and distribution pricing mechanism, the basic principles of science, rationality and effectiveness should be followed, and the fine requirements of grid cost collection and allocation should be met at the same time. Since the "interim measures of Transmission and Distribution Price Management [2005] 514]" issued in 2005, the pricing method and management method of transmission and distribution price in the provincial power grid of our country have been preliminarily formed, but the cross-provincial transmission and distribution price has yet to be further studied. The reasonable allocation of the cost of UHV transmission network is the basis of forming the transmission and distribution price across provinces, so it is of great theoretical and practical significance to study the reasonable allocation of power grid cost across provinces. At present, the methods used in some countries and regions of electricity marketization are based on stamp method, which is easy to operate, but the factors considered are relatively simple, which are slightly inadequate in the finer aspects. There are two main strategies to improve the scientific and reasonable allocation method, one is to collect the original data reasonably, the other is to scientifically regulate the principle and steps of the method. Based on the above considerations, this paper proposes two transmission fixed cost methods based on time-sharing power flow tracing and probabilistic power flow, respectively. Firstly, a cost allocation method considering multi-time power flow tracking results is proposed. Methods the typical power flow data of 24 hours in a period of time (such as a quarter) were selected, and the 24 sets of power flow data were calculated once, that is, each user has 24 power flow tracing results for each line. In order to reflect the principle of peak load responsibility in the process of line cost allocation, the maximum value of 24 tracking results is selected as the basis for the user to allocate the line. The cost allocation results are calculated by IEEE30 node system, which shows that the method can better reflect the principle of peak load liability of line cost allocation, and to some extent avoid the contingency of the allocation results. Secondly, considering that the power flow is dynamic in a long period of time, it is inevitable that the transmission cost of a single typical time flow will be subjective. In this paper, a method of transmission fixed cost allocation based on power flow tracing and probabilistic power flow is proposed. This method has no special requirements for the original data, and it does not need to select the power flow at typical time. The general idea is that the power of each node is regarded as the input variable and the tracing result is regarded as the output variable. On the premise of known probability distribution of the input variable, the probability distribution of the output variable is obtained by analytic method, and the cost is apportioned. The IEEE30 node system is used to test this method. The results show that the method can synthetically consider the power data at each time during the period, and avoid the unfair problem caused by the single time power flow tracking to apportion the transmission network cost to the maximum extent.
【學(xué)位授予單位】：華北電力大學(xué)(北京)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F426.61
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 張立波;程浩忠;曾平良;周勤勇;柳璐;;基于不確定理論的輸電網(wǎng)規(guī)劃[J];電力系統(tǒng)自動化;2016年16期
2 劉宇;高山;楊勝春;姚建國;;電力系統(tǒng)概率潮流算法綜述[J];電力系統(tǒng)自動化;2014年23期
3 荊朝霞;廖名洋;聶更生;文福拴;;輸電固定成本分?jǐn)傊凶畲蠡C合效益的源流分析方法[J];電力系統(tǒng)自動化;2013年23期
4 郭效軍;蔡德福;;不同級數(shù)展開的半不變量法概率潮流計算比較分析[J];電力自動化設(shè)備;2013年12期
5 朱星陽;劉文霞;張建華;邱威;黃宇峰;;電力系統(tǒng)隨機(jī)潮流及其安全評估應(yīng)用研究綜述[J];電工技術(shù)學(xué)報;2013年10期
6 李傳棟;王建明;楊桂鐘;;潮流追蹤解析算法[J];電力系統(tǒng)及其自動化學(xué)報;2013年03期
7 李翔;顧潔;;運用聚類算法預(yù)測地區(qū)電網(wǎng)典型日負(fù)荷曲線[J];電力與能源;2013年01期
8 石東源;蔡德福;陳金富;段獻(xiàn)忠;李慧杰;姚美齊;;計及輸入變量相關(guān)性的半不變量法概率潮流計算[J];中國電機(jī)工程學(xué)報;2012年28期
9 阮文駿;王蓓蓓;李揚;楊勝春;;峰谷分時電價下的用戶響應(yīng)行為研究[J];電網(wǎng)技術(shù);2012年07期
10 朱夢舟;何永秀;;大規(guī)模風(fēng)電消納輸電電價研究[J];華東電力;2012年05期
相關(guān)會議論文 前1條
1 張傳成;董雷;;概率潮流在靜態(tài)安全分析中的應(yīng)用[A];中國高等學(xué)校電力系統(tǒng)及其自動化專業(yè)第二十四屆學(xué)術(shù)年會論文集（上冊）[C];2008年
相關(guān)碩士學(xué)位論文 前3條
1 孫軼環(huán);含分布式小水電的配電網(wǎng)固定成本分?jǐn)偰Ｐ脱芯縖D];華北電力大學(xué);2015年
2 王哲;輸電服務(wù)峰谷分時定價方法研究[D];華北電力大學(xué);2013年
3 吳秋偉;基于DSM分時電價的確定與分析[D];南京理工大學(xué);2003年
，
本文編號：2244505
本文鏈接：http://sikaile.net/gongshangguanlilunwen/2244505.html
[Abstract]:With the deepening of electric power system reform, transmission and distribution price reform has entered a new stage. Straighten out the formation mechanism of electricity price, determine the price of electricity generation, sale, transmission and distribution through market competition, and gradually transition to the principle of "permitted cost plus reasonable income" and examine and approve the level of voltage, thus forming a complete transmission mechanism of electricity price. It is a key link in the reform of electric power system. Vigorously promoting the reform of transmission and distribution price can make the power grid enterprises pay more attention to the operation of power network assets and improve the level of transmission and distribution services, and promote the sustainable and healthy development of power grid enterprises. In the process of formulating the new transmission and distribution pricing mechanism, the basic principles of science, rationality and effectiveness should be followed, and the fine requirements of grid cost collection and allocation should be met at the same time. Since the "interim measures of Transmission and Distribution Price Management [2005] 514]" issued in 2005, the pricing method and management method of transmission and distribution price in the provincial power grid of our country have been preliminarily formed, but the cross-provincial transmission and distribution price has yet to be further studied. The reasonable allocation of the cost of UHV transmission network is the basis of forming the transmission and distribution price across provinces, so it is of great theoretical and practical significance to study the reasonable allocation of power grid cost across provinces. At present, the methods used in some countries and regions of electricity marketization are based on stamp method, which is easy to operate, but the factors considered are relatively simple, which are slightly inadequate in the finer aspects. There are two main strategies to improve the scientific and reasonable allocation method, one is to collect the original data reasonably, the other is to scientifically regulate the principle and steps of the method. Based on the above considerations, this paper proposes two transmission fixed cost methods based on time-sharing power flow tracing and probabilistic power flow, respectively. Firstly, a cost allocation method considering multi-time power flow tracking results is proposed. Methods the typical power flow data of 24 hours in a period of time (such as a quarter) were selected, and the 24 sets of power flow data were calculated once, that is, each user has 24 power flow tracing results for each line. In order to reflect the principle of peak load responsibility in the process of line cost allocation, the maximum value of 24 tracking results is selected as the basis for the user to allocate the line. The cost allocation results are calculated by IEEE30 node system, which shows that the method can better reflect the principle of peak load liability of line cost allocation, and to some extent avoid the contingency of the allocation results. Secondly, considering that the power flow is dynamic in a long period of time, it is inevitable that the transmission cost of a single typical time flow will be subjective. In this paper, a method of transmission fixed cost allocation based on power flow tracing and probabilistic power flow is proposed. This method has no special requirements for the original data, and it does not need to select the power flow at typical time. The general idea is that the power of each node is regarded as the input variable and the tracing result is regarded as the output variable. On the premise of known probability distribution of the input variable, the probability distribution of the output variable is obtained by analytic method, and the cost is apportioned. The IEEE30 node system is used to test this method. The results show that the method can synthetically consider the power data at each time during the period, and avoid the unfair problem caused by the single time power flow tracking to apportion the transmission network cost to the maximum extent.
【學(xué)位授予單位】：華北電力大學(xué)(北京)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F426.61
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 張立波;程浩忠;曾平良;周勤勇;柳璐;;基于不確定理論的輸電網(wǎng)規(guī)劃[J];電力系統(tǒng)自動化;2016年16期
2 劉宇;高山;楊勝春;姚建國;;電力系統(tǒng)概率潮流算法綜述[J];電力系統(tǒng)自動化;2014年23期
3 荊朝霞;廖名洋;聶更生;文福拴;;輸電固定成本分?jǐn)傊凶畲蠡C合效益的源流分析方法[J];電力系統(tǒng)自動化;2013年23期
4 郭效軍;蔡德福;;不同級數(shù)展開的半不變量法概率潮流計算比較分析[J];電力自動化設(shè)備;2013年12期
5 朱星陽;劉文霞;張建華;邱威;黃宇峰;;電力系統(tǒng)隨機(jī)潮流及其安全評估應(yīng)用研究綜述[J];電工技術(shù)學(xué)報;2013年10期
6 李傳棟;王建明;楊桂鐘;;潮流追蹤解析算法[J];電力系統(tǒng)及其自動化學(xué)報;2013年03期
7 李翔;顧潔;;運用聚類算法預(yù)測地區(qū)電網(wǎng)典型日負(fù)荷曲線[J];電力與能源;2013年01期
8 石東源;蔡德福;陳金富;段獻(xiàn)忠;李慧杰;姚美齊;;計及輸入變量相關(guān)性的半不變量法概率潮流計算[J];中國電機(jī)工程學(xué)報;2012年28期
9 阮文駿;王蓓蓓;李揚;楊勝春;;峰谷分時電價下的用戶響應(yīng)行為研究[J];電網(wǎng)技術(shù);2012年07期
10 朱夢舟;何永秀;;大規(guī)模風(fēng)電消納輸電電價研究[J];華東電力;2012年05期
相關(guān)會議論文 前1條
1 張傳成;董雷;;概率潮流在靜態(tài)安全分析中的應(yīng)用[A];中國高等學(xué)校電力系統(tǒng)及其自動化專業(yè)第二十四屆學(xué)術(shù)年會論文集（上冊）[C];2008年
相關(guān)碩士學(xué)位論文 前3條
1 孫軼環(huán);含分布式小水電的配電網(wǎng)固定成本分?jǐn)偰Ｐ脱芯縖D];華北電力大學(xué);2015年
2 王哲;輸電服務(wù)峰谷分時定價方法研究[D];華北電力大學(xué);2013年
3 吳秋偉;基于DSM分時電價的確定與分析[D];南京理工大學(xué);2003年
，本文編號：2244505
本文鏈接：http://sikaile.net/gongshangguanlilunwen/2244505.html
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