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微電網(wǎng)的能量優(yōu)化與協(xié)調(diào)控制研究

發(fā)布時(shí)間:2018-08-07 09:53
【摘要】:作為一種新型發(fā)電系統(tǒng),微電網(wǎng)因其能源利用率高、饋線損耗少和供電可靠性高等優(yōu)點(diǎn)被推廣,發(fā)展和創(chuàng)新微電網(wǎng)技術(shù)也已被列為智能電網(wǎng)建設(shè)的重要部分。而微電網(wǎng)系統(tǒng)的能量管理與優(yōu)化運(yùn)行作為微電網(wǎng)技術(shù)的重要組成部分,對于提高微電網(wǎng)系統(tǒng)的安全、可靠、經(jīng)濟(jì)運(yùn)行有著不可替代的重要作用,具有重要的研究意義。 面向可再生能源的微電網(wǎng)系統(tǒng)是一個(gè)典型的具有動態(tài)特性的混合發(fā)電系統(tǒng),其能量管理與優(yōu)化也是一個(gè)大規(guī)模、動態(tài)性、多約束和多時(shí)間尺度的復(fù)雜問題。本文主要針對自治運(yùn)行的微電網(wǎng)系統(tǒng)的能量優(yōu)化與協(xié)調(diào)控制策略進(jìn)行了研究,從微電網(wǎng)系統(tǒng)中的分布式發(fā)電系統(tǒng)的運(yùn)行特性出發(fā),建立了每個(gè)分布式發(fā)電單元的能量輸出模型,然后結(jié)合研究目標(biāo)對能量管理系統(tǒng)進(jìn)行了建模,在建立模型的基礎(chǔ)上又深入研究了微電網(wǎng)的能量優(yōu)化與調(diào)度方法,最后在JADE平臺上對能量管理系統(tǒng)模型進(jìn)行了初步驗(yàn)證。本文主要研究工作總結(jié)如下: (1)以風(fēng)、光、柴、蓄構(gòu)成的微電網(wǎng)系統(tǒng)為研究對象,,分析了它的結(jié)構(gòu)體系與組成部分,分析了其中每個(gè)分布式發(fā)電單元如風(fēng)光發(fā)電、光伏發(fā)電、柴油機(jī)、蓄電池的運(yùn)行特性和重要參數(shù),并建立了各單元輸出功率的能量管理模型; (2)根據(jù)面向可再生能源的微電網(wǎng)系統(tǒng)的特點(diǎn),提出基于Agent技術(shù)的建模方式為微電網(wǎng)的能量管理系統(tǒng)建模,建立了將機(jī)組節(jié)點(diǎn)映射為Agent的微觀模型和具有自底向上組織的MAS體系的宏觀模型; (3)針對自治運(yùn)行的微電網(wǎng)系統(tǒng),基于時(shí)間維和多級協(xié)調(diào)的思想,提出了一種由日前計(jì)劃、修正計(jì)劃和實(shí)時(shí)調(diào)度的組成的多時(shí)間尺度協(xié)調(diào)的優(yōu)化與調(diào)度計(jì)劃,然后分別制定了三個(gè)階段的實(shí)施策略及優(yōu)化模型,最后以某小區(qū)內(nèi)一個(gè)自治運(yùn)行的風(fēng)光柴蓄微電網(wǎng)系統(tǒng)為算例,用遺傳算法對調(diào)度計(jì)劃中的優(yōu)化模型進(jìn)行了求解和驗(yàn)證。 (4)結(jié)合微電網(wǎng)的特性與第三章提出的MAS體系,在JADE中建立了微電網(wǎng)能量管理系統(tǒng)的MAS平臺。遵循JADE中Agent的行為設(shè)計(jì)原則,對MAS中的Agent進(jìn)行了行為的設(shè)計(jì);以微電網(wǎng)在某時(shí)刻的實(shí)時(shí)運(yùn)行情況為例,實(shí)現(xiàn)了Agent之間的交互,模擬了各Agent在運(yùn)行中利用蓄電池Agent進(jìn)行能量調(diào)度和協(xié)調(diào)控制的過程。 本文研究受國家自然科學(xué)基金項(xiàng)目---基于高頻交流技術(shù)的分布式可再生能源技術(shù)研究(51177050)資助。
[Abstract]:As a new generation system, microgrid has been popularized because of its high energy efficiency, low feeder loss and high power supply reliability. The development and innovation of microgrid technology has been listed as an important part of smart grid construction. As an important part of microgrid technology, the energy management and optimal operation of micro-grid system plays an irreplaceable role in improving the security, reliability and economic operation of micro-grid system. The micro-grid system for renewable energy is a typical hybrid power generation system with dynamic characteristics. Its energy management and optimization is also a large-scale, dynamic, multi-constraint and multi-time scale complex problem. In this paper, the energy optimization and coordinated control strategy of autonomous microgrid system is studied. Based on the characteristics of distributed generation system in microgrid system, the energy output model of each distributed generation unit is established. Then the energy management system is modeled based on the research objectives, and the energy optimization and dispatching methods of the microgrid are studied on the basis of the model. Finally, the energy management system model is preliminarily verified on the JADE platform. The main work of this paper is summarized as follows: (1) taking the micro-grid system composed of wind, light, firewood and storage as the research object, the structure and components of the system are analyzed, and each of the distributed generation units such as wind power generation is analyzed. The operating characteristics and important parameters of photovoltaic power generation, diesel engine and battery, and the energy management model of output power of each unit are established. (2) according to the characteristics of microgrid system for renewable energy, The modeling method based on Agent technology is proposed to model the energy management system of microgrid. The micro model of unit node mapping to Agent and the macro model of MAS system with bottom-up organization are established. (3) for autonomous microgrid system, based on the idea of time and multi-level coordination, a multi-time scale coordinated optimization and scheduling plan is proposed, which is composed of pre-day plan, modified plan and real-time scheduling. Then, the implementation strategy and optimization model of three stages are worked out respectively. Finally, an autonomous wind and firewood storage micro-grid system in a certain district is taken as an example. Genetic algorithm is used to solve and verify the optimization model in dispatching plan. (4) combining the characteristics of microgrid and the MAS architecture proposed in chapter 3, the MAS platform of the energy management system of microgrid is established in JADE. According to the behavior design principle of Agent in JADE, the behavior of Agent in MAS is designed, and the interaction between Agent is realized by taking the real-time operation of microgrid at a certain time as an example. The process of energy scheduling and coordinated control using battery Agent in operation of each Agent is simulated. This paper is supported by the National Natural Science Foundation of China-distributed Renewable Energy Technology based on High Frequency AC Technology (51177050).
【學(xué)位授予單位】:華南理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM727

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