本文選題：風(fēng)電　切入點：光伏　出處：《山東大學(xué)》2015年碩士論文

【摘要】：發(fā)展風(fēng)電、光伏等新能源是解決中國能源緊缺問題的主要途徑。風(fēng)電和光伏具有隨機性大、波動性強和不易調(diào)度的特點,大規(guī)模的新能源接入電網(wǎng)會對電網(wǎng)造成沖擊,影響電力系統(tǒng)的安全運行。把風(fēng)電和光伏互補接入電網(wǎng)能夠有效削弱新能源的波動性,有利于緩解中國目前大規(guī)模存在的棄風(fēng)問題。降低碳排放,走可持續(xù)發(fā)展道路是全世界的共識。火力發(fā)電機組是碳排放的重要排放源,碳交易是以降低全世界的碳排放總量為目的的市場機制。在中國逐步建立和完善碳交易市場機制的大背景下,研究計及碳交易的含有風(fēng)電、光伏發(fā)電的電力系統(tǒng)經(jīng)濟調(diào)度具有重大的理論意義和現(xiàn)實意義。本文具體研究內(nèi)容如下：(1)研究了風(fēng)電和光伏發(fā)電互補接入電網(wǎng)后的經(jīng)濟調(diào)度建模問題。引入環(huán)境懲罰成本來計及環(huán)境效益,引入備用容量懲罰成本來計及風(fēng)電和光伏發(fā)電接入電網(wǎng)對備用容量的影響,建立了計及環(huán)境懲罰成本和備用容量懲罰成本的風(fēng)光互補電力系統(tǒng)經(jīng)濟調(diào)度模型,利用遺傳算法進行經(jīng)濟調(diào)度優(yōu)化,并進行仿真計算,驗證了方法的有效性。(2)碳交易是以降低全世界的碳排放總量為目的的市場機制。在計及環(huán)境懲罰成本和備用容量懲罰成本的風(fēng)光互補電力系統(tǒng)經(jīng)濟調(diào)度模型的基礎(chǔ)上,引入碳交易模型,并且對風(fēng)光互補接入電網(wǎng)后的備用容量變化進行了深入探討,建立了計及碳交易和備用容量變化的風(fēng)光互補電力系統(tǒng)的經(jīng)濟調(diào)度模型(簡稱“計及碳交易的模型”)。針對基本遺傳算法收斂速度慢、容易陷入局部最優(yōu)解的問題,對遺傳算法的雜交概率和變異概率進行了自適應(yīng)改進,并且在算法中引入了免疫機制,建立了一種自適應(yīng)免疫遺傳算法。在深入討論了碳交易價格和單位電量碳排放分配系數(shù)對總成本和碳排放總量的影響,確定了最優(yōu)碳交易價格和最優(yōu)單位電量碳排放分配系數(shù)的方法的基礎(chǔ)上,采用自適應(yīng)免疫遺傳算法進行經(jīng)濟調(diào)度的優(yōu)化計算,仿真計算表明,計及碳交易的模型不僅能夠有效削弱新能源的波動性,而且能夠有效降低碳排放總量和降低發(fā)電成本。(3)采用計及碳交易的模型和自適應(yīng)免疫遺傳算法對棗莊電網(wǎng)進行了經(jīng)濟調(diào)度的仿真計算和分析。首先,對夏季某日華電臺兒莊風(fēng)電場和光伏電站進行了功率預(yù)測,其次,采用計及碳交易的模型和自適應(yīng)免疫遺傳算法進行了經(jīng)濟調(diào)度的仿真計算。實例仿真計算結(jié)果進一步驗證了所提方法的有效性。
[Abstract]:Developing wind power, photovoltaic and other new energy is the main way to solve the problem of energy shortage in China.Wind power and photovoltaic have the characteristics of high randomness, strong volatility and difficult to dispatch. Large scale new energy access to the grid will impact the power grid and affect the safe operation of the power system.Connecting wind power and photovoltaic to the power grid can effectively reduce the volatility of new energy and help alleviate the current large-scale wind abandonment problem in China.It is the consensus of the world to reduce carbon emissions and follow the path of sustainable development.Thermal generating units are important sources of carbon emissions, and carbon trading is a market mechanism aimed at reducing the total amount of carbon emissions in the world.Under the background of the gradual establishment and improvement of carbon trading market mechanism in China, it is of great theoretical and practical significance to study the economic dispatch of power system with wind power and photovoltaic power generation taking into account carbon trading.The main contents of this paper are as follows: (1) the economic dispatching modeling problem of wind power and photovoltaic power is studied after the complementary connection of wind power and photovoltaic power.Environmental penalty cost is introduced to take into account environmental benefits, and reserve capacity penalty cost is introduced to consider the impact of wind power and photovoltaic power grid access on reserve capacity.The economic dispatching model of wind-wind complementary power system considering environmental penalty cost and reserve capacity penalty cost is established. Genetic algorithm is used to optimize economic scheduling, and the simulation calculation is carried out.The effectiveness of the method is verified. 2) carbon trading is a market mechanism aimed at reducing the total amount of carbon emissions around the world.Based on the economic dispatching model of wind-wind complementary power system considering environmental penalty cost and reserve capacity penalty cost, carbon trading model is introduced, and the change of reserve capacity after wind complementary connection to power grid is discussed.The economic dispatching model of wind and wind complementary power system considering carbon trading and reserve capacity is established.Aiming at the problem that the convergence speed of the basic genetic algorithm is slow and it is easy to fall into the local optimal solution, the hybrid probability and mutation probability of the genetic algorithm are improved adaptively, and the immune mechanism is introduced into the algorithm.An adaptive immune genetic algorithm is established.In this paper, the effects of carbon trading price and carbon allocation coefficient per unit electric quantity on total cost and total carbon emission are discussed in depth, and the optimal carbon trading price and the optimal carbon emission allocation coefficient per unit electricity quantity are determined.Adaptive immune genetic algorithm is used to optimize the economic scheduling. The simulation results show that the carbon trading model can not only effectively reduce the volatility of new energy.Moreover, it can effectively reduce the total carbon emission and reduce the cost of generating electricity.) the economic dispatch of Zaozhuang power network is simulated and analyzed by using the model of carbon trading and the adaptive immune genetic algorithm.Firstly, the power prediction of Huadian Taierzhuang wind farm and photovoltaic power station is carried out on a certain day in summer. Secondly, the simulation calculation of economic dispatch is carried out by using a carbon trading model and an adaptive immune genetic algorithm.The effectiveness of the proposed method is further verified by the simulation results.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TM73;TM61

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