多目標(biāo)網(wǎng)廠兩級(jí)負(fù)荷優(yōu)化調(diào)度研究
[Abstract]:With the deepening of the process of electricity marketization, the gradual implementation of a series of reform measures, such as the separation of power plants and networks, the bidding for the Internet, and so on, the reform of the traditional power generation dispatching mode and the development of energy-saving generation dispatching have become the response of the power system to energy conservation and emission reduction. The important means to ensure the sustainable development of electric power industry. Therefore, this paper studies the optimal dispatching problem of two-stage load of power plant under the mode of energy-saving generation dispatching. Firstly, in view of the practical problems faced by thermal power plants, this paper takes full account of generation cost, pollutant emission and load adjustment time, and constructs the economy based on energy-saving dispatching mode. Multi-objective load distribution model for environmental protection and rapidity. The ideal point method and sub-objective multiplication and division method of classical multi-objective optimization method are applied to the multi-objective load optimization scheduling problem of thermal power plant respectively. The single-objective transformation of the multi-objective problem is realized, and the adaptive immune vaccine algorithm is used to solve the model. At the same time, the conciseness of the optimization scheme is improved. Secondly, the short-term optimal scheduling problem of wind and fire based on wind power prediction is considered, which provides positive and negative reserve capacity to deal with the fluctuation and random intermittent of wind power output through the thermal power unit in the network. Taking the cost of power generation and environmental protection of the system as the objective function, taking into account the generating capacity of thermal power units, the load rate and the minimum start and stop time, A multi-objective load optimal dispatching model for wind farm power network with active power balance and reserve capacity as constraints is presented in this paper. In view of the randomness of wind power, the traditional construction method of unit priority list is improved, and the economy of the unit and the load rise and fall rate are considered synthetically. The heuristic search method is used to determine the unit combination mode and the equal proportion allocation method is used to allocate the spare capacity among the units, which provides a new idea for solving the problem of combined short-term optimal scheduling of wind and fire. Finally, with the increasing scale of wind power grid, in view of the fact that the regulating capacity of thermal power will not be enough to compensate for the randomness and volatility of wind power, it will be limited to study the joint dispatch of wind power and thermal power. In this paper, hydropower is introduced into the wind-fire joint optimal dispatching system, and the short-term joint optimal dispatching models of wind power, thermal power cascade hydropower station and wind power thermal power pumped storage power station are constructed respectively. According to the principle of energy saving power generation dispatching, the system of wind, water and fire joint optimization process is designed. According to the operation characteristics of cascade hydropower station and pumped storage power station, different optimal dispatching strategies are worked out. The experimental results show that this method can give full play to the advantages of hydropower, lighten the pressure of thermal power in dealing with wind power fluctuation and load peak and valley difference, and solve the problem of multi-power coordination and optimization between wind power, thermal power and hydropower.
【學(xué)位授予單位】:華北電力大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TM73
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 左浩,陳昆薇,洪潮,孔峰;機(jī)組負(fù)荷最優(yōu)分配的改進(jìn)遺傳算法[J];電力系統(tǒng)及其自動(dòng)化學(xué)報(bào);2001年02期
2 楊俊杰,周建中,吳瑋,劉芳;改進(jìn)粒子群優(yōu)化算法在負(fù)荷經(jīng)濟(jì)分配中的應(yīng)用[J];電網(wǎng)技術(shù);2005年02期
3 張寧;周天睿;段長剛;唐曉軍;黃建軍;盧湛;康重慶;;大規(guī)模風(fēng)電場接入對(duì)電力系統(tǒng)調(diào)峰的影響[J];電網(wǎng)技術(shù);2010年01期
4 龍軍;莫群芳;曾建;;基于隨機(jī)規(guī)劃的含風(fēng)電場的電力系統(tǒng)節(jié)能優(yōu)化調(diào)度策略[J];電網(wǎng)技術(shù);2011年09期
5 徐飛;陳磊;金和平;劉振華;;抽水蓄能電站與風(fēng)電的聯(lián)合優(yōu)化運(yùn)行建模及應(yīng)用分析[J];電力系統(tǒng)自動(dòng)化;2013年01期
6 何大闊;王福利;毛志忠;;基于改進(jìn)遺傳算法的電力系統(tǒng)經(jīng)濟(jì)負(fù)荷分配[J];控制與決策;2007年02期
7 王曉暉;張粒子;程世軍;;多元電力系統(tǒng)中抽水蓄能的經(jīng)濟(jì)性問題研究[J];電力系統(tǒng)保護(hù)與控制;2014年04期
8 王爽心;韓芳;朱衡君;;基于改進(jìn)變尺度混沌優(yōu)化方法的經(jīng)濟(jì)負(fù)荷分配[J];中國電機(jī)工程學(xué)報(bào);2005年24期
9 張麗英;葉廷路;辛耀中;韓豐;范高鋒;;大規(guī)模風(fēng)電接入電網(wǎng)的相關(guān)問題及措施[J];中國電機(jī)工程學(xué)報(bào);2010年25期
10 王松巖;于繼來;;風(fēng)速與風(fēng)電功率的聯(lián)合條件概率預(yù)測(cè)方法[J];中國電機(jī)工程學(xué)報(bào);2011年07期
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