本文選題：風(fēng)電場 + 電池儲能系統(tǒng)　； 參考：《華北電力大學(xué)》2014年碩士論文

【摘要】：風(fēng)力發(fā)電是當(dāng)前發(fā)展技術(shù)最成熟、商業(yè)化發(fā)展程度最高、開發(fā)規(guī)模最廣泛的可再生能源發(fā)電技術(shù)。但是,風(fēng)能的隨機(jī)性和間歇性給電力系統(tǒng)的安全穩(wěn)定和經(jīng)濟(jì)運(yùn)行帶來了一系列問題,而儲能系統(tǒng)與風(fēng)電場聯(lián)合運(yùn)行恰能較好地解決這些問題。因此,本文在國內(nèi)外相關(guān)理論成果和應(yīng)用研究的基礎(chǔ)上,針對風(fēng)電場儲能系統(tǒng)的控制策略和容量的優(yōu)化配置及風(fēng)電-儲能系統(tǒng)聯(lián)合運(yùn)行開展了以下深入研究： 為了平滑風(fēng)電場輸出功率,避免儲能系統(tǒng)出現(xiàn)過度充電或深度放電的狀況,本文提出了一種儲能系統(tǒng)與風(fēng)電場聯(lián)合運(yùn)行的控制策略。在電池儲能系統(tǒng)(BESS)模型的基礎(chǔ)上,提出表征電池儲能系統(tǒng)運(yùn)行狀況的兩個(gè)指標(biāo),采用一階低通濾波器來確定風(fēng)電并網(wǎng)功率參考值,并將模糊自適應(yīng)控制策略引入到風(fēng)電場儲能系統(tǒng)的控制中,實(shí)時(shí)調(diào)整儲能系統(tǒng)輸出/吸收的功率,使其荷電狀態(tài)(SOC)被有效控制并維持在一個(gè)合理水平,有利于延長儲能系統(tǒng)的使用壽命。通過對有無模糊自適應(yīng)控制兩種情況進(jìn)行仿真分析,結(jié)果驗(yàn)證了所提控制策略的有效性。 為了提高與風(fēng)電場運(yùn)行的儲能系統(tǒng)經(jīng)濟(jì)性,本文提出了一種風(fēng)電場儲能系統(tǒng)的容量優(yōu)化配置策略,以儲能單元的全生命周期成本最小為儲能容量的優(yōu)化目標(biāo),以發(fā)電系統(tǒng)能量缺失率等運(yùn)行指標(biāo)為約束條件,建立了風(fēng)電場儲能系統(tǒng)容量優(yōu)化模型,運(yùn)用粒子群算法對該優(yōu)化模型進(jìn)行求解計(jì)算。通過算例,驗(yàn)證了所建模型的正確性和有效性,同時(shí)也為風(fēng)力發(fā)電系統(tǒng)中儲能單元的最優(yōu)容量配置提供了參考。 以風(fēng)電-儲能聯(lián)合運(yùn)行的總收益最大為目標(biāo),建立了含聯(lián)合出力懲罰約束的風(fēng)電-儲能聯(lián)合日運(yùn)行優(yōu)化調(diào)度模型。通過線性化處理,將復(fù)雜的聯(lián)合運(yùn)行優(yōu)化難題轉(zhuǎn)化為混合整數(shù)線性規(guī)劃,最后通過調(diào)用GAMS軟件中的CPLEX對模型進(jìn)行求解。同時(shí)分別分析了不同場景下的風(fēng)電場獨(dú)立運(yùn)行和風(fēng)電-儲能聯(lián)合運(yùn)行的經(jīng)濟(jì)性。算例結(jié)果表明,風(fēng)電-儲能聯(lián)合運(yùn)行可降低風(fēng)電出力波動(dòng)對系統(tǒng)運(yùn)行的影響,同時(shí)也減輕電網(wǎng)的調(diào)度壓力,明顯提高了風(fēng)電場效益,具有較好的經(jīng)濟(jì)性。
[Abstract]:Wind power is the most mature technology development, commercial development and the highest level of development the most extensive scale renewable energy power generation technology. However, the randomness and intermittence of wind brings a series of problems for the safe and economical operation of the power system, and combined with energy storage and wind farm operation system can better solve these problems therefore, based on the domestic and foreign related theories and Application Research on the configuration and the wind energy storage and operation system are carried out in-depth research on optimal control strategy and capacity of wind farm energy storage system:
In order to smooth the output power of wind farm, to avoid excessive charging energy storage system and deep discharge condition, this paper proposes a control strategy of energy storage system and the combined operation of the wind farm. In the battery energy system (BESS) based on the model, put forward two indexes of battery energy storage system operating conditions, to to determine the wind power grid power reference value using a low-pass filter, and adaptive fuzzy control strategy is introduced to the wind farm control system in energy storage, power system output / absorption adjustment of storage in real time, the state of charge (SOC) was effectively controlled and maintained at a reasonable level, to extend the energy storage system life. The simulation of a fuzzy adaptive control in two cases, results verify the effectiveness of the proposed control strategy.
In order to improve the operation of wind farms and energy storage system economy, proposed capacity allocation strategy for a wind energy storage system, the storage unit of the minimum life cycle cost as optimization target storage capacity, the operation index of power system energy loss rate as constraint conditions, a wind farm energy storage capacity optimization model system, using particle swarm optimization algorithm for computing the optimal model. Through an example, verify the correctness and validity of the model, and also provides a reference for the optimal allocation of capacity of energy storage unit of wind power generation system.
To wind power and energy storage revenue combined operation as the goal, scheduling model is set up on the joint operation of wind power energy storage with combined punishment constraint. Output by linearization, the complex joint operation optimization problem into a mixed integer linear programming, finally by using GAMS software in CPLEX to solve the model. At the same time were analyzed under different scenarios of wind farm operation and independent wind power - energy economy of the combined operation. Numerical results show that the wind power energy storage and operation can reduce the wind power output fluctuation effect on the operation of the system, but also reduce the pressure of power grid scheduling, improve the wind the electric field effect, has a good economy.

【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM614

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相關(guān)期刊論文 前2條

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本文編號：1753762