需要金幣： 1000 個金幣 |
資料包括：完整論文 |  |
 |
| 轉(zhuǎn)換比率：金額 X 10=金幣數(shù)量， 例100元=1000金幣 | 論文字數(shù)：15826 |  | |
| 折扣與優(yōu)惠：團購最低可5折優(yōu)惠 - 了解詳情 | 論文格式：Word格式(*.doc) |  |
摘要:電力是國民經(jīng)濟的重要基礎(chǔ)產(chǎn)業(yè)，電力系統(tǒng)的發(fā)展關(guān)乎千家萬戶、國計民生。如何優(yōu)化電力系統(tǒng)運作，提高電力系統(tǒng)運行效率，從而構(gòu)建資源節(jié)約型和環(huán)境友好型社會，一直以來都是學(xué)者們致力研究和探討的熱點問題。隨著全球資源環(huán)境壓力的不斷增大和電力市場化進程的持續(xù)深入，電力工業(yè)正面臨前所未有的機遇和挑戰(zhàn)。應(yīng)用新的管理和技術(shù)，建設(shè)更加安全、可靠、經(jīng)濟的電力系統(tǒng), 已經(jīng)成為各國電力行業(yè)的共同目標。最優(yōu)潮流作為電力系統(tǒng)不可或缺的分析和定價工具，在當(dāng)前的電力市場環(huán)境中扮演著越來越重要的角色。而在眾多的求解最優(yōu)潮流的方法中，內(nèi)點法正受到越來越多的關(guān)注。內(nèi)點法的最大特點是收斂速度快且對等式和不等式約束的處理十分方便，這也使其成為求解大型優(yōu)化問題的實用方法之一。 本文通過對原-對偶內(nèi)點法的研究，對高階內(nèi)點法中的預(yù)測-校正內(nèi)點法進行了詳細分析，通過與原對偶內(nèi)點算法的比較，證實了預(yù)測-校正內(nèi)點法的收斂性優(yōu)于原對偶內(nèi)點算法。 關(guān)鍵詞：電力系統(tǒng)，最優(yōu)潮流，原-對偶內(nèi)點法，預(yù)測-校正內(nèi)點法
Abstract:Electric power industry is an important basic industry of national economy and its development is closely related to the national economy and the people's living. Scholars have been dedicated to improving and optimizing the operating efficiency of power system so as to build a resource thrift and environment friendly society. As the increase of pressure on resources and environment and the development of power marketing course, power industry is facing the unprecedented opportunity and the challenge. To build a secure, reliable and economic power system, application of new management method and technology is the goal of power industry all around the world. Optimal power flow (OPF), as an indispensable analysis and pricing tool, is now playing more and more role in the current electricity markets environment. Among most optimization methods for OPF, interior point methods (IPMs) have enjoyed increasing popularity. The most attractive features of IPM are its speed of convergence and its robust capability of handling equality and inequality constraints; making itself a practical tool for solving large-scale optimization problems. Based on the research of primal-dual interior point methods and PC-IPM and through dual interior point algorithm comparison,PC-IPM within a point of the convergence than the primal-dual interior point methods was confirmed. Key Words: power system, optimal power flow, primal-dual interior point method predictor-corrector interior point method |
