電力用戶參與需求側(cè)響應模型研究
發(fā)布時間：2018-08-01 09:45
【摘要】：隨著經(jīng)濟的發(fā)展,環(huán)境惡化、資源日益耗盡等問題日漸成為影響人類發(fā)展的重要問題。清潔能源發(fā)電的應用,不僅推動了經(jīng)濟的發(fā)展,也減輕了環(huán)境保護的壓力。為了進一步滿足經(jīng)濟發(fā)展的需求,我國提出“建設能夠提供安全、可靠、經(jīng)濟、環(huán)保、高效的智能電網(wǎng)”。在建設“堅強智能電網(wǎng)”的同時,實現(xiàn)電力用戶積極參與電力需求側(cè)響應進行科學用電,建立適應智能電網(wǎng)發(fā)展的相關理論體系,以保障我國電力市場的高速發(fā)展。在此背景下,本文以需求側(cè)響應理論為基礎,建立了電力用戶參與的需求側(cè)響應模型。在電力用戶參與電力需求側(cè)響應的過程中,用戶消費的靈活性可以提高電力市場的運營效率和運行可靠性。針對電力用戶參與需求側(cè)響應的不確定性,本文在實時電價和分時電價兩種電價機制下,建立電力用戶基于價格的需求側(cè)響應模型,用以分析消費者消費模式的轉(zhuǎn)變以及負荷的轉(zhuǎn)移。在分時電價下,以用戶效用函數(shù)為基礎,建立需求響應模型;在實時電價下,以需求彈性為基礎,建立需求響應模型。通過實際數(shù)據(jù)對所建模型進行算例分析�？紤]在參與需求側(cè)響應的負荷中,電動汽車具有代表性。針對電動汽車(Electric Vehicle,EV)參與需求側(cè)響應的不確定性,本文通過建立雙方互動的博弈機制,制定合理的價格體系,以提高電動汽車用戶參與需求側(cè)響應的積極性。電網(wǎng)公司和電動汽車用戶作為博弈雙方,在交易過程中雙方信息相對獨立,故本文采用靜態(tài)貝葉斯納什均衡理論,引入雙向拍賣模型來制定電動汽車放電電價。本文分別在實時電價和分時電價兩種電價機制下,通過回購電動汽車用戶電力的方式來促使其參與需求側(cè)響應。在基于價格的需求側(cè)響應模型的基礎上,改進了需求側(cè)響應模型以模擬電動汽車用戶參與需求響應。為了驗證改進的用戶參與需求側(cè)響應模型,本文在不同的限制條件下通過MATLAB進行算例仿真分析。仿真結(jié)果表明,在分時電價和實時電價兩種情況下,電動汽車參與的需求側(cè)響應都具有降低負荷高峰峰值以及增強電網(wǎng)穩(wěn)定性的作用。在實時電價下,電動汽車參與需求側(cè)響應積極性和電能利用率更高、總費用更低。
[Abstract]:With the development of economy, environmental deterioration and the depletion of resources, it has become an important problem to affect the development of human beings. The application of clean energy not only promotes the development of economy, but also lightens the pressure of environmental protection. In order to further meet the needs of economic development, our country proposed that "building a smart grid that can provide security, reliability, economy, environmental protection, and efficiency". At the same time of constructing "strong smart grid", electric power users can actively participate in the scientific demand side response of power consumption, and establish relevant theoretical system to adapt to the development of smart grid, so as to ensure the rapid development of power market in China. Based on the theory of demand-side response, a demand-side response model in which power users participate is established in this paper. In the process of power users participating in the demand side response, the flexibility of user consumption can improve the operation efficiency and reliability of the electricity market. In view of the uncertainty of power users participating in the demand-side response, in this paper, a price-based demand-side response model for power users is established under two pricing mechanisms: real time price and time-sharing price. It is used to analyze the change of consumer consumption pattern and the shift of load. The demand response model is established on the basis of the user utility function under the time-sharing price and the demand response model based on the demand elasticity under the real-time electricity price. Through the actual data, the model is analyzed as an example. Considering the load involved in the demand-side response, the electric vehicle is representative. In view of the uncertainty of Electric vehicle (EV) participating in the demand-side response, this paper establishes a game mechanism of interaction between the two sides and formulates a reasonable price system to improve the enthusiasm of EV users to participate in the demand-side response. Power grid companies and electric vehicle users are the two sides of the game, the information of both parties is relatively independent in the process of trading, so this paper adopts static Bayesian Nash equilibrium theory and introduces a two-way auction model to determine the electric vehicle discharge price. In this paper, the users of electric vehicles are repurchased to participate in the demand-side response under two pricing mechanisms: real time price and time sharing price, respectively. Based on the price-based demand-side response model, the demand-side response model is improved to simulate the demand response of electric vehicle users. In order to verify the improved model of user participation in demand side response, this paper uses MATLAB to simulate and analyze the model. The simulation results show that the demand side response of electric vehicles can reduce the peak load peak and enhance the power network stability under both time-sharing price and real-time price. Under the real time electricity price, the electric vehicle participates in the demand side response enthusiasm and the electric energy utilization ratio is higher, the total cost is lower.
【學位授予單位】：江蘇大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F426.61;F274
本文編號：2157175
[Abstract]:With the development of economy, environmental deterioration and the depletion of resources, it has become an important problem to affect the development of human beings. The application of clean energy not only promotes the development of economy, but also lightens the pressure of environmental protection. In order to further meet the needs of economic development, our country proposed that "building a smart grid that can provide security, reliability, economy, environmental protection, and efficiency". At the same time of constructing "strong smart grid", electric power users can actively participate in the scientific demand side response of power consumption, and establish relevant theoretical system to adapt to the development of smart grid, so as to ensure the rapid development of power market in China. Based on the theory of demand-side response, a demand-side response model in which power users participate is established in this paper. In the process of power users participating in the demand side response, the flexibility of user consumption can improve the operation efficiency and reliability of the electricity market. In view of the uncertainty of power users participating in the demand-side response, in this paper, a price-based demand-side response model for power users is established under two pricing mechanisms: real time price and time-sharing price. It is used to analyze the change of consumer consumption pattern and the shift of load. The demand response model is established on the basis of the user utility function under the time-sharing price and the demand response model based on the demand elasticity under the real-time electricity price. Through the actual data, the model is analyzed as an example. Considering the load involved in the demand-side response, the electric vehicle is representative. In view of the uncertainty of Electric vehicle (EV) participating in the demand-side response, this paper establishes a game mechanism of interaction between the two sides and formulates a reasonable price system to improve the enthusiasm of EV users to participate in the demand-side response. Power grid companies and electric vehicle users are the two sides of the game, the information of both parties is relatively independent in the process of trading, so this paper adopts static Bayesian Nash equilibrium theory and introduces a two-way auction model to determine the electric vehicle discharge price. In this paper, the users of electric vehicles are repurchased to participate in the demand-side response under two pricing mechanisms: real time price and time sharing price, respectively. Based on the price-based demand-side response model, the demand-side response model is improved to simulate the demand response of electric vehicle users. In order to verify the improved model of user participation in demand side response, this paper uses MATLAB to simulate and analyze the model. The simulation results show that the demand side response of electric vehicles can reduce the peak load peak and enhance the power network stability under both time-sharing price and real-time price. Under the real time electricity price, the electric vehicle participates in the demand side response enthusiasm and the electric energy utilization ratio is higher, the total cost is lower.
【學位授予單位】：江蘇大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F426.61;F274
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