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考慮智能家電與分布式電源的電力需求響應(yīng)技術(shù)研究

發(fā)布時(shí)間:2019-06-13 17:32
【摘要】:戶用分布式電源可直接為電網(wǎng)末端用戶供電,在提供清潔能源的同時(shí),也可能由于雙向潮流及電能輸出的波動(dòng)性引起功率失衡和電能質(zhì)量問題。傳統(tǒng)的需求響應(yīng)技術(shù)主要針對(duì)大型電力用戶展開,且未實(shí)現(xiàn)需求響應(yīng)的自動(dòng)化、智能化。在智能電網(wǎng)相關(guān)技術(shù)支撐下,研究居民側(cè)智能負(fù)荷控制技術(shù),有效整合用戶側(cè)需求響應(yīng)潛力以滿足電網(wǎng)調(diào)峰需求、促進(jìn)分布式電源消納具有重要意義。本文圍繞居民用戶智能負(fù)荷及分布式電源參與電力需求響應(yīng),利用智能電網(wǎng)雙向交互能力,闡述了用戶側(cè)能量管理系統(tǒng)的概念,重點(diǎn)研究了居民用戶負(fù)荷特性,提出了用戶參與電網(wǎng)調(diào)峰、促進(jìn)分布式電源消納的智能負(fù)荷控制方案,并描述了用戶側(cè)智能需求響應(yīng)調(diào)度平臺(tái)的系統(tǒng)設(shè)計(jì)及工程實(shí)施方案。首先,對(duì)參與電力需求響應(yīng)的居民負(fù)荷特性進(jìn)行了深入研究,包括居民可控負(fù)荷如空調(diào)、熱水器、電動(dòng)汽車等,分析其負(fù)荷特性并建立了物理模型;研究了戶用光伏發(fā)電系統(tǒng)的輸出特性及物理模型,為后續(xù)智能負(fù)荷參與電力需求響應(yīng)實(shí)現(xiàn)電網(wǎng)調(diào)峰、促進(jìn)分布式電源消納奠定基礎(chǔ)。其次,基于智能電網(wǎng)雙向交互技術(shù),系統(tǒng)地介紹了智能家庭用電管理系統(tǒng)及其控制方案。建立了居民可控負(fù)荷控制模型,并根據(jù)家電運(yùn)行特點(diǎn)提出了家電舒適度指數(shù)的概念;在滿足電網(wǎng)調(diào)峰及用戶舒適度需求的前提下,根據(jù)家電實(shí)時(shí)狀態(tài)計(jì)算其動(dòng)態(tài)優(yōu)先級(jí),并執(zhí)行負(fù)荷控制決策;算例仿真結(jié)果表明所提負(fù)荷控制方案可為電網(wǎng)公司及用戶雙方帶來收益。然后,深入研究了居民側(cè)主動(dòng)負(fù)荷促進(jìn)分布式電源消納的需求響應(yīng)方案。分析了居民負(fù)荷需求響應(yīng)特性,提出了負(fù)荷狀態(tài)概率矩陣,并據(jù)此建立了居民用電概率模型;在此基礎(chǔ)上,制定了以分布式光伏消納最大化為目標(biāo)的主動(dòng)負(fù)荷需求響應(yīng)方案。采用蒙特卡洛法模擬用戶用電行為,算例仿真結(jié)果表明所提方案可有效促進(jìn)分布式電源的就地消納,改善負(fù)荷曲線,顯著節(jié)約用戶電費(fèi)。最后,基于上述理論研究,針對(duì)居民用戶參與區(qū)域電網(wǎng)電力需求響應(yīng),闡述了用戶側(cè)智能需求響應(yīng)調(diào)度平臺(tái)的系統(tǒng)設(shè)計(jì)實(shí)施方案,包括調(diào)度平臺(tái)功能設(shè)計(jì)、系統(tǒng)框架設(shè)計(jì)及軟硬件實(shí)現(xiàn)方案、家庭用電管理系統(tǒng)的組網(wǎng)實(shí)現(xiàn)方案、用戶側(cè)人機(jī)界面設(shè)計(jì)方案等,為未來家庭用戶實(shí)現(xiàn)智能用電提供了理論及技術(shù)依據(jù)。
[Abstract]:The household distributed power supply can directly supply power to the end users of the power grid, and meanwhile, the power imbalance and the electric energy quality problem can be caused by the fluctuation of the two-way power flow and the output of the electric energy when the clean energy is provided. The traditional demand response technology is mainly focused on the large-scale power users, and the automatic and intelligent of the demand response is not met. Under the related technical support of the intelligent power grid, the intelligent load control technology of the residents is studied, and the potential of the user-side demand response is effectively integrated to meet the requirement of the peak-regulation of the power grid, and the distributed power supply is promoted to play an important role. In this paper, the intelligent load and distributed power supply of the residents are used to participate in the power demand response, and the two-way interaction capability of the intelligent power grid is used, the concept of the user-side energy management system is described, the load characteristics of the users are emphatically studied, and the users participate in the peak regulation of the power grid, The intelligent load control scheme for distributed power supply is promoted, and the system design and engineering implementation of the user-side intelligent demand response scheduling platform are described. First, the load characteristics of the residents participating in the power demand response have been studied deeply, including the controllable load of the residents, such as air-conditioning, water heater, electric vehicle and so on, the load characteristics of the residents are analyzed and the physical model is established, the output characteristic and the physical model of the household photovoltaic power generation system are studied, And provides a foundation for the subsequent intelligent load to participate in the power demand response to realize the peak regulation of the power grid and to promote the distribution of the distributed power supply. Secondly, the intelligent home power management system and its control scheme are introduced systematically based on the two-way communication technology of the intelligent power grid. The controllable load control model of the residents is established, and the concept of the home appliance comfort index is put forward according to the characteristics of the operation of the household appliance, and the dynamic priority is calculated according to the real-time state of the home appliance and the load control decision is executed according to the real-time state of the household appliance under the premise of meeting the requirements of the peak regulation and the user comfort level of the power grid; The simulation results show that the proposed load control scheme can benefit both the power grid company and the user. Then, the demand response scheme of the active load on the residential side to promote the distribution of the distributed power supply is deeply studied. Based on the analysis of the response characteristics of the load demand of the residents, the probability matrix of the load state is put forward, and the probability model of the residents' power consumption is established. On the basis of this, the active load demand response scheme with the goal of maximizing the distributed photovoltaic power is established. Monte-Carlo method is used to simulate the user's electricity consumption behavior. The simulation results show that the proposed scheme can effectively promote the local elimination of the distributed power source, improve the load curve and save the user's electricity cost. Finally, based on the above-mentioned theoretical research, the system design scheme of the user-side intelligent demand response scheduling platform is described, including the function design of the scheduling platform, the design of the system framework and the implementation of the software and hardware. The network implementation scheme of the home power management system, the design scheme of the human-machine interface of the user side and the like provide the theoretical and technical basis for realizing the intelligent electricity utilization for the household users in the future.
【學(xué)位授予單位】:東南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TM73

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 劉純;黃越輝;張楠;禮曉飛;劉德偉;姚姣;;基于智能電網(wǎng)調(diào)度控制系統(tǒng)基礎(chǔ)平臺(tái)的新能源優(yōu)化調(diào)度[J];電力系統(tǒng)自動(dòng)化;2015年01期

2 周京陽;王斌;周R加,

本文編號(hào):2498690


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