本文關(guān)鍵詞：基于粒子群算法的混合儲能系統(tǒng)容量優(yōu)化配置　出處：《寧夏大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 蓄電池 超級電容器 混合儲能 粒子群算法 加速因子 容量優(yōu)化

【摘要】：為了提高供電的穩(wěn)定性、可靠性,實現(xiàn)日夜發(fā)電,在太陽能、風(fēng)能資源比較豐富的區(qū)域,建立風(fēng)能、太陽能互補發(fā)電系統(tǒng)。但是由于系統(tǒng)投入成本過高,風(fēng)、光又存在間歇性和不穩(wěn)定性等問題,需要配置儲能系統(tǒng)來平抑功率波動。超級電容器儲能技術(shù)的功率密度高、充放電速度快、使用壽命長,蓄電池儲能技術(shù)比較成熟、價格便宜,但是蓄電池的體積重量大、功率密度低、使用壽命比較短。鑒于二者的互補特征,將超級電容器和蓄電池混合作為風(fēng)光互補發(fā)電系統(tǒng)中的儲能裝置。 首先對光伏電池、風(fēng)力機、蓄電池和超級電容器的特性進行了分析,建立了超級電容器-蓄電池直接并聯(lián)、通過電感并聯(lián)和通過功率變換器并聯(lián)三種儲能方法的模型,通過理論分析和仿真實驗表明,當(dāng)負載脈動時,將二者混合的儲能系統(tǒng)提高了儲能系統(tǒng)的功率輸出能力,減少了蓄電池的輸出電流,延長工作時間,減少了內(nèi)部損耗。其次,建立了以儲能裝置的生命周期費用為目標(biāo)函數(shù),以負荷缺電率等為約束條件的獨立風(fēng)電儲能系統(tǒng)的容量優(yōu)化模型,比較傳統(tǒng)蓄電池儲能、改進蓄電池儲能、傳統(tǒng)混合儲能和改進的混合儲能這四種儲能方法的優(yōu)缺點。再次,在風(fēng)光互補發(fā)電系統(tǒng)中,以蓄電池和超級電容器作為混合儲能裝置,以儲能系統(tǒng)的全生命周期年費用最小為目標(biāo),以系統(tǒng)的缺電率等運行指標(biāo)為約束條件,建立了一種混合儲能系統(tǒng)容量優(yōu)化配置模型。分別用標(biāo)準(zhǔn)的粒子群算法、權(quán)重改進的粒子群算法和加速因子改進的粒子群算法進行求解。最后,在MATLAB軟件中,分別對獨立風(fēng)電儲能系統(tǒng)的容量優(yōu)化配置和風(fēng)光互補混合儲能容量優(yōu)化配置系統(tǒng)進行仿真,仿真結(jié)果表明：改進的混合儲能系統(tǒng)具有更低的全生命周期費用；采用加速因子改進的粒子群優(yōu)化算法可以得到更好優(yōu)化效果,不僅能加快收斂速度,同時也降低了生命周期費用。
[Abstract]:In order to improve the stability and reliability of power supply and realize power generation day and night, in the region with abundant solar and wind energy resources, wind and solar complementary power generation system is established. However, due to the high cost of the system, wind. Because of the intermittent and instability of light, the energy storage system is needed to stabilize the power fluctuation. The energy storage technology of supercapacitor has high power density, fast charge and discharge speed and long service life. Battery energy storage technology is more mature, cheap, but the battery volume weight, low power density, short service life, in view of the complementary characteristics of the two. Supercapacitors and batteries are mixed as energy storage devices in wind-wind complementary power generation systems. Firstly, the characteristics of photovoltaic cells, wind turbines, batteries and supercapacitors are analyzed, and the direct parallel connection between supercapacitors and batteries is established. Through the model of three kinds of energy storage methods: inductor parallel and power converter, the theoretical analysis and simulation results show that when the load fluctuates. The hybrid energy storage system improves the power output capacity of the energy storage system, reduces the output current of the battery, prolongs the working time and reduces the internal loss. The capacity optimization model of the independent wind energy storage system with the life cycle cost of energy storage unit as the objective function and the load shortage rate as the constraint condition is established to compare the traditional storage battery and improve the storage energy of the battery. The advantages and disadvantages of the traditional hybrid energy storage and the improved hybrid energy storage methods. Thirdly, in the wind-wind complementary generation system, batteries and supercapacitors are used as hybrid energy storage devices. Aiming at the minimum annual cost of the whole life cycle of the energy storage system and taking the running index of the system such as the power shortage rate as the constraint condition, an optimal configuration model of the capacity of the hybrid energy storage system is established. Standard particle swarm optimization (PSO) algorithm is used respectively. The weight improved particle swarm optimization algorithm and the acceleration factor improved particle swarm optimization algorithm are solved. Finally, in the MATLAB software. The simulation results show that the improved hybrid energy storage system has lower life cycle cost. The particle swarm optimization (PSO) algorithm improved by the acceleration factor can not only accelerate the convergence speed but also reduce the life cycle cost.
【學(xué)位授予單位】：寧夏大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM53;TM912

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本文編號：1428584