【摘要】：近年來，關(guān)于高級量測體系智能用電技術(shù)的研究大都集中在系統(tǒng)的終端設(shè)備、通信技術(shù)及其基本功能方面，對基本功能數(shù)據(jù)應(yīng)用的研究相對較少。因此如何使用戶根據(jù)電網(wǎng)公司的價(jià)格信息及自身能源結(jié)構(gòu)，更加經(jīng)濟(jì)合理的用電已成為智能用電技術(shù)發(fā)展的趨勢。 本文目的是研究設(shè)計(jì)一種基于智能用電系統(tǒng)的家庭用電策略，通過該策略能夠合理的調(diào)整家庭用電設(shè)備工況，，使用戶達(dá)到用電質(zhì)量最高、節(jié)省電費(fèi)開支的目標(biāo)。文章首先根據(jù)目前高級量測體系研究情況設(shè)計(jì)了家庭智能用電系統(tǒng)架構(gòu)，并分別介紹系統(tǒng)的主站、戶內(nèi)網(wǎng)絡(luò)、本地信息管理終端以及相應(yīng)的通信技術(shù)。然后從家庭用電規(guī)劃和家庭能量管理兩部分開展家庭用電策略的研究，家庭用電規(guī)劃為家庭能量管理提供參與規(guī)劃的用電設(shè)備電能消耗數(shù)據(jù)。 家庭用電規(guī)劃的研究是結(jié)合用戶的用電習(xí)慣與電網(wǎng)公司分時(shí)電價(jià)信息，以用電設(shè)備的啟動(dòng)時(shí)間為決策變量，以家庭的電費(fèi)支出最少為規(guī)劃為目標(biāo)，建立家庭用電規(guī)劃模型。家庭能量管理模型的建立是針對采用市電電網(wǎng)與光伏并網(wǎng)發(fā)電聯(lián)合供電的新型家庭，把家庭的能耗節(jié)點(diǎn)分成調(diào)節(jié)室內(nèi)溫度能耗、熱水加熱能耗、蓄電池儲(chǔ)能以及其他用電設(shè)備能耗，以室內(nèi)溫度調(diào)節(jié)功率、熱水系統(tǒng)的加熱開關(guān)、蓄電池充放電功率為控制量，跟蹤室內(nèi)溫度與熱水溫度需求，以室溫、熱水服務(wù)質(zhì)量最高和節(jié)省電費(fèi)支出為目標(biāo)。 文章對家庭用電規(guī)劃模型和家庭能量管理模型分別設(shè)計(jì)基于遺傳算法的優(yōu)化方法，并分析了求解家庭能量管理模型控制變量的約束條件，給出了相應(yīng)的調(diào)整方法。為了驗(yàn)證遺傳算法在求解家庭用電模型的有效性，對算法進(jìn)行了仿真實(shí)驗(yàn)，經(jīng)仿真得到該方法能夠有效的節(jié)省用戶的電費(fèi)支出。
[Abstract]:In recent years, most of the research on intelligent power consumption technology of advanced measurement system has focused on the terminal equipment of the system, communication technology and its basic functions, but the research on the application of basic functional data is relatively small. Therefore, how to make users use electricity more economically and reasonably according to the price information of power grid companies and their own energy structure has become the development trend of intelligent power technology. The purpose of this paper is to study and design a household power consumption strategy based on intelligent power consumption system. Through this strategy, the working conditions of household electrical equipment can be reasonably adjusted, so that users can achieve the goal of the highest quality of electricity consumption and saving electricity expenditure. Firstly, according to the research situation of advanced measurement system, the architecture of home intelligent power consumption system is designed, and the main station, indoor network, local information management terminal and corresponding communication technology of the system are introduced respectively. Then the household power consumption strategy is studied from the two parts of household power planning and family energy management. Household power planning provides household energy management with the data of power consumption of electrical equipment involved in the planning. The research of household electricity planning is to establish a household electricity planning model based on the user's electricity habit and the time-sharing electricity price information of the power grid company, taking the start-up time of the electrical equipment as the decision variable and the minimum household electricity expenditure as the goal. The establishment of household energy management model is aimed at a new type of household which adopts the combined power supply of municipal power grid and photovoltaic grid-connected power generation. The household energy consumption nodes are divided into indoor temperature energy consumption and hot water heating energy consumption. Battery energy storage and other electrical equipment energy consumption, indoor temperature regulation power, hot water system heating switch, battery charge and discharge power as the control, tracking indoor temperature and hot water temperature requirements, at room temperature, Hot water service quality is the highest and electricity expenditure is saved as the goal. In this paper, the optimization methods based on genetic algorithm are designed for household power planning model and family energy management model, and the constraint conditions for solving the control variables of family energy management model are analyzed, and the corresponding adjustment methods are given. In order to verify the effectiveness of genetic algorithm in solving household power consumption model, the simulation experiments are carried out, and the simulation results show that this method can effectively save the electricity cost of users.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM76

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