本文選題：微電網(wǎng) + 需求側(cè)管理��； 參考：《東北石油大學(xué)》2016年碩士論文

【摘要】：微電網(wǎng)的運(yùn)行方式靈活,以不同方式運(yùn)行時(shí)產(chǎn)生的經(jīng)濟(jì)效益是其在電力系統(tǒng)中得到推廣的關(guān)鍵因素。合理安排微電網(wǎng)中可控微電源的運(yùn)行計(jì)劃,在滿足負(fù)荷需求的基礎(chǔ)上實(shí)現(xiàn)微電網(wǎng)的經(jīng)濟(jì)運(yùn)行一直是微電網(wǎng)研究的重點(diǎn)。然而隨著現(xiàn)代電力系統(tǒng)的進(jìn)一步發(fā)展,微電網(wǎng)運(yùn)行的利益主體也正在向多元化的方向轉(zhuǎn)變,需求側(cè)資源的管理得到了更多重視。首先,本文對(duì)微電網(wǎng)經(jīng)濟(jì)運(yùn)行的原理進(jìn)行了分析,在此基礎(chǔ)上,提出基于需求側(cè)的微電網(wǎng)經(jīng)濟(jì)調(diào)度模型。模型由左右兩側(cè)組成,左側(cè)為發(fā)電側(cè),主要任務(wù)是對(duì)可控微電源進(jìn)行調(diào)度;右側(cè)為需求側(cè),電力用戶根據(jù)發(fā)電側(cè)給出的個(gè)性化電價(jià),對(duì)負(fù)荷進(jìn)行轉(zhuǎn)移,并將新的負(fù)荷需求數(shù)據(jù)提供給發(fā)電側(cè)。發(fā)電側(cè)以此為依據(jù),重新優(yōu)化可控微電源的出力計(jì)劃。如此循環(huán)迭代,最終實(shí)現(xiàn)微電網(wǎng)發(fā)電側(cè)企業(yè)和需求側(cè)電力用戶雙贏的目標(biāo)。其次,根據(jù)電價(jià)變化時(shí)不同種類電力用戶的用電量數(shù)據(jù),擬合出了各類用戶對(duì)電價(jià)的響應(yīng)曲線。在得到用戶對(duì)電價(jià)響應(yīng)曲線的基礎(chǔ)上,結(jié)合經(jīng)濟(jì)學(xué)基本原理,以負(fù)荷曲線的“削峰填谷”為目的,根據(jù)各時(shí)段負(fù)荷制定分時(shí)電價(jià),實(shí)現(xiàn)對(duì)負(fù)荷曲線的改善。再次,以發(fā)電側(cè)運(yùn)行成本最小和最大節(jié)點(diǎn)電壓偏差最小為目標(biāo),建立了具體的基于機(jī)會(huì)約束規(guī)劃的微電網(wǎng)經(jīng)濟(jì)運(yùn)行模型。風(fēng)電機(jī)組輸出功率以及負(fù)荷功率具有隨機(jī)性,在對(duì)相關(guān)約束條件進(jìn)行校驗(yàn)時(shí)采用基于半不變量法和Gram-Charlier級(jí)數(shù)展開(kāi)理論的微電網(wǎng)隨機(jī)潮流方法提升算法收斂速度。在算法的尋優(yōu)過(guò)程中采用定步長(zhǎng)和變步長(zhǎng)相結(jié)合的混合變異策略,使算法的搜索能力得到了提升。最后根據(jù)多屬性決策原理對(duì)Pareto最優(yōu)解進(jìn)行進(jìn)一步選擇。最后,以前文中構(gòu)建的模型為基礎(chǔ),結(jié)合算例,針對(duì)微電網(wǎng)實(shí)施或未實(shí)施需求側(cè)管理(Demand Side Management,DSM)的兩種情況進(jìn)行仿真分析,更加直觀的反應(yīng)實(shí)施DSM的經(jīng)濟(jì)效益,對(duì)優(yōu)化后的微電網(wǎng)運(yùn)行模式進(jìn)行分析,驗(yàn)證所提模型的合理性。
[Abstract]:The operation mode of microgrid is flexible, and the economic benefit is the key factor to be popularized in power system. Reasonable arrangement of the operation plan of controllable micro-power supply in microgrid and realization of economic operation of micro-grid on the basis of satisfying load demand have always been the focus of microgrid research. However, with the further development of modern power system, the main interests of micro-grid operation are also changing to the direction of diversification, and the management of demand-side resources has been paid more attention. Firstly, the principle of microgrid economic operation is analyzed in this paper. Based on this, a demand-side model of microgrid economic dispatching is proposed. The model is composed of left and right sides, the left side is the generation side, the main task is to dispatch the controllable micro power supply, the right side is the demand side, the power user transfers the load according to the individualized electricity price given by the generation side. The new load demand data are provided to the power generation side. On the basis of this, the power generation plan of controllable micro power supply is reoptimized. In this way, the Win-Win goal of microgrid generation side enterprises and demand-side power users can be achieved. Secondly, according to the electricity consumption data of different kinds of power users, the response curve of different kinds of users to electricity price is fitted. On the basis of obtaining the response curve of user to electricity price, combined with the basic principle of economics, aiming at "cutting peak and filling valley" of load curve, the time-sharing price is established according to the load of each period, and the improvement of load curve is realized. Thirdly, aiming at the minimum operation cost and the minimum voltage deviation of the maximum node, a specific economic operation model of micro-grid based on opportunity-constrained programming is established. The output power and load power of wind turbine are stochastic. In the calibration of the related constraints, the stochastic power flow method based on semi-invariant method and Gram-Charlier series expansion theory is used to improve the convergence rate of the algorithm. In the process of optimizing the algorithm, a hybrid mutation strategy combining constant step size and variable step size is adopted, which improves the search ability of the algorithm. Finally, the Pareto optimal solution is further selected according to the principle of multiple attribute decision making. Finally, on the basis of the model constructed in the previous paper, combined with an example, two kinds of situations of demand side management (DSM) are simulated and analyzed, which can directly reflect the economic benefits of implementing DSM. The optimized microgrid operation mode is analyzed to verify the rationality of the proposed model.
【學(xué)位授予單位】：東北石油大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TM732

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