發(fā)布時間：2018-01-27 00:42

  本文關鍵詞： 新能源 獨立電網 風電-儲能系統(tǒng) 微電網 儲能容量配置 旋轉備用 市場競價 控制策略　出處：《華中科技大學》2014年博士論文　論文類型：學位論文

【摘要】：伴隨著社會文明和經濟的不斷發(fā)展,日益嚴峻的化石能源和環(huán)境保護問題與不斷增長的能源需求之間的矛盾越發(fā)突出。目前,發(fā)展利用新能源發(fā)電技術是解決這一問題的有效途徑。同時,構建含新能源的獨立電網可以實現新能源發(fā)電可靠安全接入和獨立供電,例如可再生能源發(fā)電通過微電網接入、海島等偏遠地區(qū)采用可再生能源發(fā)電獨立供電。本文在對含新能源的獨立電網結構類型、規(guī)劃方法、運行和控制策略已有研究進行歸納總結的基礎上,圍繞含新能源的獨立電網的規(guī)劃和運行、控制策略問題展開研究,主要研究內容包括： 首先,分析了風電-儲能獨立電網結構類型,比較概述了常用的儲能技術及其投資成本、使用壽命、充放電效率等特性參數。從聯網運行風電功率可調度性和孤島運行可靠性角度,分別構建了儲能系統(tǒng)容量經濟規(guī)劃模型。在風電功率可調度性儲能配置模型中,基于持續(xù)預測方法設計了使儲能容量需求最小的風電-儲能聯合調度策略,定義了風電功率可調度性置信度水平約束,并且在年均投資成本最小化規(guī)劃模型中計入了放電深度對儲能壽命的影響,采用非參數估計、迭代法和曲線擬合方法分別計算最小功率和容量約束,最后利用遺傳算法求解最優(yōu)配置。在孤島運行儲能配置模型中,以最大電量不足期望值作為可靠性約束條件,在年均成本最小化模型中計入了風電和負荷切除補償費用,考慮故障時刻和后續(xù)風電功率狀況的不確定性,利用遺傳算法和時序仿真方法進行求解。算例仿真結果驗證了模型的合理性。 其次,基于微電網分層控制框架和市場競價機制,分析建立了微電網運行不確定性如可再生能源發(fā)電功率和負荷預測誤差等因素數學模型,提出了考慮不確定性的微電網日前電力市場電能和旋轉備用隨機競價模型,采用超立方抽樣和后向削減技術生成微電網運行場景,將隨機競價模型轉化為多場景確定性競價模型。典型低壓微電網算例結果表明所提隨機競價模型相對于確定性競價模型能夠增加微電網競價收益。 再次,考慮多種不確定性因素對微電網旋轉備用優(yōu)化的影響,建立了風電功率、光伏發(fā)電功率、負荷、發(fā)電單元停運和微電網凈功率的不確定性分布模型,分別從聯網運行經濟性和孤島運行可靠性角度構建了聯網和孤島運行模式下微電網旋轉備用優(yōu)化模型。微電網算例驗證所提模型的有效性。 最后,基于風電-儲能獨立電網的控制特點分析,設計了一種風電-儲能獨立電網孤島運行雙層控制策略及其實現框架,包含上層廣域功率平衡功率和下層儲能系統(tǒng)功率補償控制。在上層廣域功率平衡控制中最小化電網控制成本,下層儲能系統(tǒng)功率補償控制實現不平衡功率實時跟蹤。南澳電網的建模仿真驗證了雙層控制策略能夠有效維持電網孤島運行電壓和頻率穩(wěn)定性。
[Abstract]:With the development of social civilization and economy, the contradiction between the increasingly severe fossil energy and environmental protection problems and the increasing energy demand is becoming more and more prominent. Development and utilization of new energy generation technology is an effective way to solve this problem. At the same time, building independent grid with new energy can realize reliable and safe access to new energy generation and independent power supply. For example, renewable energy generation through microgrid access, island and other remote areas using renewable energy to generate independent power supply. On the basis of the existing research on operation and control strategy, this paper studies the planning and operation of independent power grid with new energy sources, and the control strategy. The main research contents are as follows: Firstly, the structure types of wind power-storage independent power grid are analyzed, and the commonly used energy storage technology, its investment cost and service life are compared and summarized. From the point of view of the schedulability of wind power and the reliability of isolated island, the capacity economic planning model of energy storage system is constructed, and in the configuration model of wind power schedulability. Based on the method of continuous prediction, the wind-energy storage joint scheduling strategy is designed to minimize the demand for energy storage capacity, and the confidence level constraint of wind power schedulability is defined. The influence of discharge depth on energy storage life is taken into account in the annual investment cost minimization programming model. The minimum power and capacity constraints are calculated by non-parametric estimation iterative method and curve fitting method respectively. Finally, the genetic algorithm is used to solve the optimal configuration. In the islanding operation energy storage configuration model, the expected value of the maximum power shortage is taken as the reliability constraint. The cost of wind power and load removal compensation is taken into account in the annual cost minimization model, and the uncertainty of wind power condition at fault time and subsequent wind power is considered. Genetic algorithm and time series simulation method are used to solve the problem. The simulation results show that the model is reasonable. Secondly, based on the hierarchical control framework and the market bidding mechanism, the mathematical model of microgrid operating uncertainty such as renewable energy generation power and load forecasting error is established. In this paper, a stochastic bidding model of pre-day power market and rotational reserve for micro-grid is proposed, which takes into account the uncertainty. Hypercube sampling and backward reduction techniques are used to generate the operation scenario of micro-grid. The stochastic bidding model is transformed into a multi-scenario deterministic bidding model. The results of typical low-voltage micro-grid examples show that the proposed stochastic bidding model can increase the bidding returns of micro-grid compared with the deterministic bidding model. Thirdly, considering the influence of various uncertainty factors on the optimization of micro-grid rotation standby, the uncertain distribution model of wind power, photovoltaic power, load, outage of generating unit and net power of microgrid is established. The optimization models of microgrid rotation standby in the mode of interconnection and islanding operation are constructed from the point of view of the economic efficiency and the reliability of isolated island operation respectively. The effectiveness of the proposed model is verified by an example of microgrid. Finally, based on the analysis of the control characteristics of wind power-storage independent power grid, a two-layer control strategy and its implementation framework for isolated island operation of wind power-storage independent power network are designed. It includes the power compensation control of the upper wide area power balance and the lower layer energy storage system, which minimizes the power network control cost in the upper wide area power balance control. The power compensation control of the lower layer energy storage system realizes the unbalanced power real-time tracking. The modeling and simulation of the South Australia power network verify that the two-layer control strategy can effectively maintain the voltage and frequency stability of the isolated island operation of the power network.
【學位授予單位】：華中科技大學
【學位級別】：博士
【學位授予年份】：2014
【分類號】：TM732

【引證文獻】

相關碩士學位論文 前3條

1 賈肖肖;獨立光伏系統(tǒng)中蓄電池充放電技術的研究[D];太原理工大學;2016年

2 單海超;儲能變流器的自適應控制研究[D];電子科技大學;2016年

3 郭浩;含風能微電網的控制與優(yōu)化運行[D];東華大學;2016年

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本文編號：1467066