本文選題：有序用電 + 精細(xì)化管理��； 參考：《浙江大學(xué)》2014年碩士論文

【摘要】：伴隨著我國(guó)經(jīng)濟(jì)的持續(xù)快速發(fā)展,電力需求與日俱增,高峰時(shí)期電力不足問(wèn)題顯著,電源性缺電與電網(wǎng)性缺電問(wèn)題并存。面對(duì)嚴(yán)峻的電力供需緊張局勢(shì),除了加快電源與電網(wǎng)建設(shè),還應(yīng)開(kāi)展精細(xì)化有序用電管理工作。 本文針對(duì)當(dāng)前有序用電管理所存問(wèn)題,提出了精細(xì)化有序用電管理的基本框架。該框架以精細(xì)化管理思想為其理論基礎(chǔ),以智能電網(wǎng)的建設(shè)與發(fā)展為其實(shí)施基礎(chǔ),分為四個(gè)主要環(huán)節(jié)：建立有序用電綜合評(píng)價(jià)指標(biāo)體系、科學(xué)合理地分解錯(cuò)避峰指標(biāo)、基于決策模型編制有序用電方案、有序用電執(zhí)行后評(píng)估。所提框架融合了精細(xì)化管理思想和閉環(huán)反饋控制思想,有望提升管理效益,不斷優(yōu)化電力資源配置。 從有序用電精細(xì)化管理的實(shí)際需求出發(fā),本文將有序用電綜合評(píng)價(jià)指標(biāo)體系分成兩部分,其一用于客戶有序用電價(jià)值的綜合評(píng)價(jià),其二用于方案整體效益的綜合評(píng)價(jià)。首次提出從客戶的用電價(jià)值與適用度價(jià)值兩個(gè)角度建立客戶有序用電價(jià)值綜合評(píng)估指標(biāo)。方案整體效益的綜合評(píng)價(jià)則從發(fā)電側(cè)、電網(wǎng)側(cè)、用戶側(cè)和全社會(huì)環(huán)保貢獻(xiàn)等多個(gè)角度考察有序用電方案的實(shí)施效果。 最后本文基于用戶負(fù)荷特性及其用電價(jià)值,提出一種多時(shí)間尺度協(xié)調(diào)的集中決策方法,在消納供需缺口的同時(shí),能提高負(fù)荷率,降低高峰時(shí)段備用需求。該模型聯(lián)合考慮了周時(shí)間尺度與日時(shí)間尺度上的多種錯(cuò)避峰手段,以對(duì)用戶常規(guī)用電習(xí)慣影響最小為主要優(yōu)化目標(biāo)協(xié)調(diào)調(diào)度不同手段,并且融入用戶用電價(jià)值的影響。高峰時(shí)段備用電力均衡化與峰荷峰谷差加權(quán)和最小化的多目標(biāo)優(yōu)化,可進(jìn)一步改善系統(tǒng)負(fù)荷率,增強(qiáng)電網(wǎng)峰荷運(yùn)行安全性與穩(wěn)定性。該模型同時(shí)適用于電源性缺電與電網(wǎng)性缺電情況下的有序用電決策。算例分析說(shuō)明了所提模型與方法的基本特征和有效性。
[Abstract]:With the continuous and rapid development of economy in China, the demand for electricity is increasing day by day, the problem of power shortage is obvious during the peak period, and the problem of power shortage and power shortage coexist.In the face of severe shortage of power supply and demand, in addition to speeding up the construction of power supply and power grid, it is necessary to carry out detailed and orderly management of electricity consumption.Aiming at the problems existing in the management of orderly power consumption at present, this paper puts forward the basic framework of the management of power consumption in fine order.The framework is based on the theory of fine management and the construction and development of smart grid. It is divided into four main links: to establish an orderly comprehensive evaluation index system for power consumption, and to scientifically and reasonably decompose the index of avoiding peak.Based on the decision model, an ordered power consumption scheme is worked out, and the evaluation is carried out after the ordered power consumption is executed.The proposed framework combines the idea of fine management with the idea of closed-loop feedback control, which is expected to improve the efficiency of management and optimize the allocation of power resources.Starting from the actual demand of the fine management of orderly power consumption, this paper divides the comprehensive evaluation index system of orderly power consumption into two parts: one is used for the comprehensive evaluation of the customer's ordered power consumption value, the other is used for the comprehensive evaluation of the overall benefit of the scheme.It is the first time to establish the comprehensive evaluation index of customer's ordered power consumption value from two aspects of customer's power consumption value and applicability value.The comprehensive evaluation of the overall benefit of the scheme examines the implementation effect of the orderly power consumption scheme from the power generation side, the power grid side, the user side and the environmental protection contribution of the whole society.Finally, based on the characteristics of user load and its power consumption value, this paper proposes a centralized decision method based on multi-time scale coordination, which can increase the load rate and reduce the reserve demand during the peak period while eliminating the gap between supply and demand.The model considers several kinds of error-avoiding methods on the weekly time scale and the daily time scale. The main objective of this model is to optimize the different means of coordination and scheduling in order to minimize the impact on the users' conventional power consumption habits, and to incorporate the influence of the user's power consumption value into the model.The multi-objective optimization of peak time standby power equalization and peak load peak-valley difference minimization can further improve the system load rate and enhance the security and stability of power network peak load operation.The model is applicable to the ordered power consumption decision in the case of power shortage and power grid shortage at the same time.An example is given to illustrate the basic characteristics and effectiveness of the proposed model and method.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TM73

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