基于需求響應(yīng)的風(fēng)電消納源荷協(xié)調(diào)調(diào)度策略研究
[Abstract]:Wind power, as a clean renewable energy, is developing rapidly under the background of energy crisis and environmental deterioration. However, wind power has the characteristics of random volatility and intermittent, so large-scale wind power grid brings challenges to the stable operation of the system. The development of microgrid can alleviate the difficulty of wind power grid connection, through the complementary characteristics of energy and the utilization of energy storage equipment to calm some fluctuations of wind power grid, but it will obviously reduce the economy of system operation, so we need to change the traditional dispatching mode. Improve the flexible scheduling ability of the system. Demand response is an important interactive resource of smart grid. It can respond to system demand flexibly and quickly, so it becomes an important way to absorb wind power. In this paper, a coordinated scheduling strategy based on demand response is proposed to improve the wind power absorption capacity of the system through the two-way interaction between the power supply side and the demand side resources. In this paper, the peak electricity price and interruptible load mechanism are selected for industrial users, and the scenario analysis method is used to simulate the wind power scenario, and to analyze the unit, energy storage equipment and flexible load, taking into account the characteristics of wind power prediction error. A two-stage economic scheduling model of pre-day and inter-day is established. Then, this paper selects real-time electricity price and direct load control mechanism to participate in the dispatching of the system, establishes the multi-objective source load coordination scheduling model from the aspects of power network benefits, user satisfaction and environment, and then fuzzifies the multi-objective model. The maximum satisfaction index method is used to solve the single objective problem. An example shows the rationality and validity of the model. The results show that the power side and the demand side resources can interact flexibly for different users, which can improve the wind power absorption ability, optimize the load curve, and reduce the operating cost of the system. Energy conservation and emission reduction has a certain role in promoting. The research can provide a reference for exploring the demand side resources to promote the optimal scheduling of wind power consumption in the future.
【學(xué)位授予單位】:華北電力大學(xué)(北京)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TM73
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 張高;王旭;蔣傳文;張?jiān)?王正宇;;采用雙層優(yōu)化調(diào)度的虛擬電廠經(jīng)濟(jì)性分析[J];電網(wǎng)技術(shù);2016年08期
2 晉宏楊;孫宏斌;郭慶來;王彬;陳潤澤;王維洲;;基于能源互聯(lián)網(wǎng)用戶核心理念的高載能-風(fēng)電協(xié)調(diào)調(diào)度策略[J];電網(wǎng)技術(shù);2016年01期
3 帥智康;鄒福筱;涂春鳴;沈征;;微網(wǎng)暫態(tài)穩(wěn)定性研究[J];電力系統(tǒng)自動(dòng)化;2015年16期
4 張忠;王建學(xué);曹曉宇;;基于負(fù)荷分類調(diào)度的孤島型微網(wǎng)能量管理方法[J];電力系統(tǒng)自動(dòng)化;2015年15期
5 崔強(qiáng);王秀麗;曾平良;姚力;武澤辰;唐倫;;調(diào)峰約束下考慮風(fēng)電消納的多目標(biāo)尖峰電價(jià)決策模型[J];中國電機(jī)工程學(xué)報(bào);2015年11期
6 毛曉明;陳深;吳杰康;郭壯志;;分時(shí)電價(jià)機(jī)制下含蓄電池微網(wǎng)的優(yōu)化調(diào)度[J];電網(wǎng)技術(shù);2015年05期
7 劉文穎;文晶;謝昶;王維洲;梁琛;;考慮風(fēng)電消納的電力系統(tǒng)源荷協(xié)調(diào)多目標(biāo)優(yōu)化方法[J];中國電機(jī)工程學(xué)報(bào);2015年05期
8 艾欣;周樹鵬;趙閱群;;基于場(chǎng)景分析的含可中斷負(fù)荷的優(yōu)化調(diào)度模型研究[J];中國電機(jī)工程學(xué)報(bào);2014年S1期
9 姚明濤;胡兆光;張寧;段煒;張健;;工業(yè)負(fù)荷提供輔助服務(wù)的多智能體響應(yīng)模擬[J];中國電機(jī)工程學(xué)報(bào);2014年25期
10 牛文娟;李揚(yáng);王蓓蓓;;考慮不確定性的需求響應(yīng)虛擬電廠建模[J];中國電機(jī)工程學(xué)報(bào);2014年22期
相關(guān)博士學(xué)位論文 前1條
1 張娜;面向風(fēng)電高不確定性的多周期機(jī)組組合研究[D];大連理工大學(xué);2014年
相關(guān)碩士學(xué)位論文 前4條
1 張麗娟;含多種分布式電源的微網(wǎng)系統(tǒng)環(huán)保經(jīng)濟(jì)優(yōu)化調(diào)度研究[D];華北電力大學(xué);2015年
2 雷宇;基于場(chǎng)景分析的含風(fēng)電場(chǎng)電力系統(tǒng)機(jī)組組合問題的研究[D];山東大學(xué);2013年
3 賀鵬;基于SM/AMI的用戶主動(dòng)需求響應(yīng)研究[D];華北電力大學(xué);2013年
4 白峪豪;含分布式電源的微電網(wǎng)經(jīng)濟(jì)調(diào)度模型研究[D];浙江大學(xué);2012年
,本文編號(hào):2367171
本文鏈接:http://sikaile.net/kejilunwen/dianlidianqilunwen/2367171.html