基于能量協(xié)調(diào)控制的混合儲能系統(tǒng)容量配置方法
發(fā)布時間:2018-05-17 11:09
本文選題:離網(wǎng)光伏 + 混合儲能。 參考:《電力建設》2016年08期
【摘要】:為了平滑離網(wǎng)光伏發(fā)電系統(tǒng)中源荷之間功率差的隨機波動,提出了一種適用于混合儲能系統(tǒng)中不同儲能介質(zhì)之間充放電功率分配的能量協(xié)調(diào)控制策略。該策略依據(jù)不同儲能介質(zhì)的實時荷電狀態(tài),結(jié)合最大可能充放電時間,令超級電容器優(yōu)先充放電,當達到其充放電極限時,再控制蓄電池進行充放電。在此基礎上根據(jù)全壽命周期理論,考慮實時荷電狀態(tài)、負荷缺電率和系統(tǒng)自主運行能力等約束,建立混合儲能系統(tǒng)容量配置優(yōu)化模型。利用改進粒子群算法對算例進行求解分析,并與單一蓄電池儲能進行比較,驗證能量協(xié)調(diào)控制策略的有效性和容量配置優(yōu)化模型的正確性。
[Abstract]:In order to smooth the random fluctuation of power difference between source loads in off-grid photovoltaic power generation system, a coordinated energy control strategy is proposed, which is suitable for charging and discharging power distribution among different energy storage media in hybrid energy storage system. According to the real time charge state of different energy storage medium and the maximum possible charge / discharge time, the supercapacitor is preferentially charged and discharged. When the limit of charge and discharge is reached, the battery is then controlled to charge and discharge. On the basis of the whole life cycle theory, the optimal model of capacity configuration of hybrid energy storage system is established considering the constraints of real time charge state, load power shortage rate and system independent operation ability. The improved particle swarm optimization (PSO) algorithm is used to solve the problem and compare it with the single storage battery to verify the effectiveness of the energy coordination control strategy and the correctness of the capacity allocation optimization model.
【作者單位】: 華北電力大學電力工程系;
【基金】:國家自然科學基金項目(51177047) 中央高校基本科研業(yè)務費專項資金資助項目(2016MS89) 河北省科技計劃項目(16214504D)~~
【分類號】:TK02;TM615
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本文編號:1901137
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