本文選題：智能電網(wǎng) + 分布式因特網(wǎng)數(shù)據(jù)中心　； 參考：《華中科技大學(xué)》2014年博士論文

【摘要】：隨著云計算和各種因特網(wǎng)在線業(yè)務(wù)的迅猛發(fā)展,越來越多的數(shù)據(jù)和計算被遷移至分布在不同地理位置上的因特網(wǎng)數(shù)據(jù)中心。因特網(wǎng)數(shù)據(jù)中心有許多優(yōu)點,譬如：數(shù)據(jù)可靠、便于客戶管理、攤銷成本低。然而,在因特網(wǎng)數(shù)據(jù)中心的運行中存在幾個主要問題,譬如：能量消耗和能量成本巨大,碳排放量較高。為了降低能量消耗、能量成本以及碳排放量,需要有效地管理因特網(wǎng)數(shù)據(jù)中心的能量消耗方式和能量供給方式�？紤]到智能電網(wǎng)的巨大潛力,本文研究了智能電網(wǎng)環(huán)境下分布式因特網(wǎng)數(shù)據(jù)中心的能量管理問題。 首先,本文研究了基于電力中斷約束的分布式因特網(wǎng)數(shù)據(jù)中心能量管理問題。在未來電價、負(fù)荷、可再生能源輸出及大電網(wǎng)運行狀態(tài)不確定性環(huán)境下,我們建模了時間平均期望能量成本最小化問題并設(shè)計了一種求解算法,且該算法無需知曉任何系統(tǒng)參數(shù)的統(tǒng)計信息。理論分析了該算法的可行性及其能提供的性能保證�；趯嶋H數(shù)據(jù)的仿真表明了所提算法的有效性。 其次,本文研究了基于碳排放約束的分布式因特網(wǎng)數(shù)據(jù)中心能量管理問題。在未來電價、負(fù)荷、可再生能源輸出及碳排放率不確定性環(huán)境下,我們建模了能量成本與碳排放加權(quán)和的時間平均期望值最小化問題并設(shè)計了一種求解算法,且該算法無需知曉任何系統(tǒng)參數(shù)的統(tǒng)計信息。理論分析了該算法的可行性及其能提供的性能保證�；趯嶋H數(shù)據(jù)的仿真表明：與現(xiàn)有的碳中立算法相比,所提算法可同時取得更低的能量成本和碳排放量。 再者,本文研究了基于運行風(fēng)險約束的分布式因特網(wǎng)數(shù)據(jù)中心能量管理問題。在提出風(fēng)險受限的決策框架后,我們在未來現(xiàn)貨電價和負(fù)荷不確定性環(huán)境下建模了風(fēng)險受限的期望能量成本最小化問題。為了求解優(yōu)化問題,我們提出了基于分解的切平面算法�；趯嶋H數(shù)據(jù)的仿真表明：所提決策框架可根據(jù)因特網(wǎng)數(shù)據(jù)中心運營商的風(fēng)險偏好實現(xiàn)期望能量成本和運行風(fēng)險之間的最優(yōu)折中。 最后,對全文工作進行了簡要的總結(jié),并對下一步研究工作進行了展望。
[Abstract]:With the rapid development of cloud computing and various Internet online services, more and more data and computing are migrated to Internet data centers located in different geographical locations. Internet data centers have many advantages, such as reliable data, easy customer management and low amortization costs. However, there are several major problems in the operation of Internet data centers, such as the huge energy consumption and energy cost, high carbon emissions. In order to reduce energy consumption, energy cost and carbon emissions, it is necessary to effectively manage the energy consumption and energy supply of Internet data centers. Considering the great potential of smart grid, the energy management of distributed Internet data center in smart grid environment is studied in this paper. Firstly, the energy management problem of distributed Internet data center based on power interruption constraint is studied in this paper. In the uncertain environment of future electricity price, load, renewable energy output and the operating state of large power network, we model the time average expected energy cost minimization problem and design a solution algorithm. And the algorithm does not need to know any statistical information of system parameters. The feasibility of the algorithm and its performance guarantee are analyzed theoretically. The simulation based on the actual data shows the effectiveness of the proposed algorithm. Secondly, this paper studies the energy management of distributed Internet data centers based on carbon emission constraints. In the uncertain environment of future electricity price, load, renewable energy output and carbon emission rate, we model the time-average expectation minimization problem of weighted sum of energy cost and carbon emissions and design a solution algorithm. And the algorithm does not need to know any statistical information of system parameters. The feasibility of the algorithm and its performance guarantee are analyzed theoretically. The simulation based on the actual data shows that compared with the existing carbon-neutral algorithm, the proposed algorithm can achieve lower energy cost and lower carbon emissions simultaneously. Furthermore, this paper studies the energy management problem of distributed Internet data centers based on running risk constraints. After putting forward a risk-constrained decision framework, we model the expected energy cost minimization problem with risk limitation in the future spot electricity price and load uncertainty environment. In order to solve the optimization problem, we propose a decomposition-based tangent plane algorithm. Simulation based on actual data shows that the proposed decision framework can achieve the optimal compromise between expected energy cost and operational risk according to the risk preference of Internet data center operators. Finally, a brief summary of the full-text work is given, and the future research work is prospected.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TM769

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本文編號：1802275