本文選題：需求響應 + 負荷分析��； 參考：《哈爾濱理工大學》2014年碩士論文

【摘要】：隨著電力改革的逐步深入，打破壟斷、引入良好的競爭機制、優(yōu)化電網(wǎng)的資源配置、提高電力市場的運行效率成為我國電力改革的方向。一個發(fā)展良好的電力市場必不可少的是需求側的電價反饋。微觀經(jīng)濟學相關理論指出，當價格由供需兩側共同決定的時候，，市場的收益最大，因此未來電網(wǎng)引入需求響應機制是必然的。需求響應項目鼓勵用戶積極參與電網(wǎng)的管理，對需求響應信號做出積極的響應，從而實現(xiàn)維護電力系統(tǒng)穩(wěn)定運行，解決用電高峰電力供應不足及用電低谷電力資源利用率過低的問題。那么普通的家庭用戶，在實施的需求響應項目中應該如何更好地根據(jù)價格信號控制家庭負荷、管理好家庭能源，從而在減少能源消耗和電價花費的基礎上更進一步的實現(xiàn)削峰填谷以及優(yōu)化資源配置，這是未來電力市場能否成功的關鍵問題之一。 首先，本文介紹了需求響應的概念、實施所需的技術條件與國家現(xiàn)有的相關政策。針對我國在某些省市對大工業(yè)用戶已經(jīng)實施的需求響應項目及國外現(xiàn)行較成熟的需求響應項目做了詳細的研究分析。 其次，結合已有的技術條件和需求響應項目實施情況，針對我國居民用戶的家用電器負荷的使用習慣，提出分時電價需求響應項目。對參與該項目的家庭負荷進行分類分析，針對不同負荷的不同特點提出不同的控制目標函數(shù)。根據(jù)目標函數(shù)設計家庭能源管理優(yōu)化算法，并對該算法進行可行性分析。 最后，在MATLAB平臺下，對不同的負荷控制目標函數(shù)，本文對家庭能源控制優(yōu)化算法進行編程仿真驗證。針對單用戶目標、多用戶目標、控制優(yōu)化算法的多個約束條件以及實施的需求響應項目的價格高低等對家庭能源控制結果會產(chǎn)生影響的各種因素進行仿真分析。仿真結果顯示本文提出的基于需求響應的控制策略可以達到控制家庭負荷用電、優(yōu)化資源配置、削峰填谷、節(jié)約電費的效果。
[Abstract]:With the deepening of electric power reform, breaking monopoly, introducing good competition mechanism, optimizing the distribution of power grid resources and improving the operation efficiency of power market become the direction of electric power reform in our country. A well-developed electricity market is essential for demand-side price feedback. The related theories of microeconomics point out that when the price is determined by both sides of supply and demand, the market returns the most, so it is inevitable to introduce demand response mechanism into power grid in the future. The demand response project encourages users to take an active part in the management of the power grid and to respond positively to the demand response signals, so as to maintain the stable operation of the power system. To solve the problem of insufficient peak power supply and low utilization rate of power resources. Well, in the implementation of the demand response project, the average household user should better control the household load according to the price signal, and manage the household energy well. Therefore, on the basis of reducing energy consumption and electricity price cost, we can further realize peak cutting and valley filling and optimizing resource allocation, which is one of the key problems to be successful in the future electricity market. Firstly, the concept of demand response is introduced in this paper. Implement the necessary technical conditions and the existing relevant policies of the country. This paper makes a detailed research and analysis on the demand response projects that have been implemented by large industrial users in some provinces and cities of China and the mature demand response projects in foreign countries. Secondly, combining the existing technical conditions and the implementation situation of the demand response projects, According to the usage habit of household appliance load of our country's residents, the demand response item of timesharing electricity price is put forward. The household load involved in the project is classified and analyzed, and different control objective functions are put forward according to the different characteristics of different loads. According to the objective function, the optimization algorithm of household energy management is designed, and the feasibility of the algorithm is analyzed. Finally, under the MATLAB platform, for different load control objective functions, the optimization algorithm of home energy control is verified by programming simulation. Aiming at single user target, multi-user goal, multiple constraints of control optimization algorithm and the price of implementing demand response project, this paper makes simulation and analysis on various factors that will affect the result of household energy control. The simulation results show that the proposed control strategy based on demand response can achieve the effect of controlling household load, optimizing resource allocation, cutting peak and filling valley, and saving electricity cost.
【學位授予單位】：哈爾濱理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM73

【引證文獻】

相關期刊論文 前2條

1 韓平軍;張麗坤;王東東;劉世飛;王巖;;居民用戶電力需求響應控制器的設計[J];陜西電力;2015年08期

2 熊克卿;李彬;祁兵;;居民用戶家用電器負荷控制策略研究[J];智能電網(wǎng);2015年08期

本文編號：1996087