本文關(guān)鍵詞：多能互補(bǔ)微網(wǎng)魯棒多目標(biāo)運(yùn)行優(yōu)化　出處：《山東大學(xué)》2017年博士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 微網(wǎng) 運(yùn)行優(yōu)化 魯棒優(yōu)化 多目標(biāo)優(yōu)化 需求響應(yīng) 能量調(diào)度 交叉熵算法

【摘要】：多能互補(bǔ)微網(wǎng)是體現(xiàn)新型電力能源技術(shù)發(fā)展水平以及探索能源與經(jīng)濟(jì)、社會、環(huán)境和諧發(fā)展道路的重要研究課題�；谀芰空{(diào)度的微網(wǎng)運(yùn)行優(yōu)化可以促進(jìn)不同能源形式相互融合和降低能源生產(chǎn)成本,因此成為多能互補(bǔ)微網(wǎng)發(fā)展的關(guān)鍵技術(shù)。然而,面對外界復(fù)雜的運(yùn)行環(huán)境和內(nèi)部多能量流耦合等系統(tǒng)特征,以穩(wěn)定性、經(jīng)濟(jì)性和環(huán)境友好為綜合優(yōu)化目標(biāo)的多能互補(bǔ)微網(wǎng)運(yùn)行問題仍需要進(jìn)行深入研究。本文針對涉及可再生能源和負(fù)荷多重不確定性、經(jīng)濟(jì)與環(huán)境多重優(yōu)化目標(biāo)、需求響應(yīng)機(jī)制等情況下的多能互補(bǔ)微網(wǎng)運(yùn)行優(yōu)化這一復(fù)雜問題,以包含光伏發(fā)電、冷熱電聯(lián)供單元、地源熱泵、蓄電池和負(fù)荷的并網(wǎng)型多能互補(bǔ)微網(wǎng)為研究對象,從系統(tǒng)工程優(yōu)化角度研究多能互補(bǔ)微網(wǎng)運(yùn)行優(yōu)化方法,為建立面向復(fù)雜運(yùn)行工況的高效益和魯棒性微網(wǎng)運(yùn)行方法體系奠定了一定的理論基礎(chǔ),為系統(tǒng)優(yōu)化理論在多能互補(bǔ)微網(wǎng)運(yùn)行中的應(yīng)用提供參考。具體研究內(nèi)容和研究成果如下:首先,針對"以熱定電"和"以電定熱"模式下帶有可再生能源和負(fù)荷多重不確定性的微網(wǎng)經(jīng)濟(jì)運(yùn)行優(yōu)化問題,提出了基于后悔度準(zhǔn)則的微網(wǎng)魯棒多階段經(jīng)濟(jì)運(yùn)行優(yōu)化方法。考慮到微網(wǎng)運(yùn)行的保守性問題,采用帶有魯棒測度的最小最大后悔度描述微網(wǎng)多階段運(yùn)行模型。由于所提模型中存在多階段耦合特征,基于凸規(guī)劃對偶定理將模型中的非分離約束轉(zhuǎn)換為分離約束,并據(jù)此簡化多階段優(yōu)化模型為雙層優(yōu)化模型,然后提出拉格朗日兩段松弛和交叉熵混合算法求解模型。仿真結(jié)果表明,所提經(jīng)濟(jì)運(yùn)行優(yōu)化方法可以在不確定性最大擾動下找出最小經(jīng)濟(jì)后悔度,進(jìn)而獲得最優(yōu)經(jīng)濟(jì)效益,實(shí)現(xiàn)對微網(wǎng)運(yùn)行保守度的調(diào)節(jié)。其次,針對"以熱定電"和"以電定熱"模式下微網(wǎng)運(yùn)行花費(fèi)、二氧化碳排放和一次化石能源消耗的多目標(biāo)運(yùn)行優(yōu)化問題,提出了基于啟發(fā)式調(diào)度規(guī)則和改進(jìn)多目標(biāo)交叉熵算法的微網(wǎng)多目標(biāo)運(yùn)行優(yōu)化方法�？紤]到多目標(biāo)之間的協(xié)同和博弈關(guān)系可能導(dǎo)致運(yùn)行方案偏離微網(wǎng)建設(shè)初衷,設(shè)計(jì)啟發(fā)式調(diào)度規(guī)則修正Pareto運(yùn)行方案的生成,并進(jìn)一步縮減可行解域和提高求解效率。為保障微網(wǎng)Pareto運(yùn)行方案的多樣性和最優(yōu)性,采用樣本分段生成策略和參數(shù)更新機(jī)制改進(jìn)多目標(biāo)交叉熵算法。仿真結(jié)果表明,所提多目標(biāo)運(yùn)行優(yōu)化方法可通過一次求解獲得Pareto最優(yōu)解集,實(shí)現(xiàn)經(jīng)濟(jì)、環(huán)境和能耗目標(biāo)的同時(shí)最優(yōu)。然后,針對可再生能源與負(fù)荷多重不確定性以及經(jīng)濟(jì)與環(huán)境多重優(yōu)化目標(biāo)在微網(wǎng)運(yùn)行過程中并存的現(xiàn)狀,提出了基于集合的最小最大魯棒多目標(biāo)的微網(wǎng)不確定性和多目標(biāo)聯(lián)合優(yōu)化運(yùn)行方法�？紤]到隨機(jī)性場景對經(jīng)濟(jì)和環(huán)境目標(biāo)的不同影響難以生成魯棒性的運(yùn)行方案,依據(jù)Pareto魯棒最優(yōu)解定義構(gòu)建帶有魯棒測度的微網(wǎng)最小最大多目標(biāo)運(yùn)行優(yōu)化模型,并針對所提多目標(biāo)雙層規(guī)劃模型的復(fù)雜結(jié)構(gòu),設(shè)計(jì)了內(nèi)層多目標(biāo)優(yōu)化和外層集值優(yōu)化的雙層求解框架。仿真結(jié)果表明,所提運(yùn)行優(yōu)化方法在抑制不確定性擾動的同時(shí),獲得了微網(wǎng)運(yùn)行的最優(yōu)經(jīng)濟(jì)與環(huán)境效益,并可調(diào)節(jié)運(yùn)行方案在多目標(biāo)框架下的魯棒性。最后,針對需求響應(yīng)機(jī)制下的微網(wǎng)經(jīng)濟(jì)與環(huán)境運(yùn)行優(yōu)化問題,以及運(yùn)行過程中存在的可再生能源與負(fù)荷不確定性擾動,提出了基于點(diǎn)的最小最大魯棒多目標(biāo)的微網(wǎng)供需雙側(cè)協(xié)同運(yùn)行優(yōu)化方法。考慮到負(fù)荷對價(jià)格和激勵的不敏感性,提出了基于負(fù)荷轉(zhuǎn)移的需求響應(yīng)模型,并據(jù)此構(gòu)建了供需雙側(cè)協(xié)同的微網(wǎng)魯棒多目標(biāo)運(yùn)行優(yōu)化模型。由于模型存在決策變量耦合及非線性特征,基于強(qiáng)對偶原理將模型轉(zhuǎn)換為帶有魯棒測度的確定性微網(wǎng)多目標(biāo)運(yùn)行規(guī)劃,并采用多目標(biāo)交叉熵算法求解模型。仿真結(jié)果表明,所提運(yùn)行優(yōu)化方法可有效利用需求響應(yīng)優(yōu)化經(jīng)濟(jì)與環(huán)境目標(biāo)以及減少供給側(cè)在處理不確定性方面的壓力,同時(shí)確保多重不確定性情況下的微網(wǎng)綜合運(yùn)行效益最優(yōu)。
[Abstract]:Multi energy complementary microgrid is a reflection of new energy technology development level and explore the energy and economy, society, an important research topic of the harmonious development of environment of roads. Based on energy dispatch of microgrid operation optimization can promote the fusion of different forms of energy and reduce the energy cost of production, thus become the key technology of multi energy complementary micro network development. However, the external environment and internal operation of complicated multi energy flow coupling system with characteristics, stability, economy and environment friendly for the integrated optimization of multi energy complementary microgrid operation problems still need further research. This paper relates to renewable energy and load multiple uncertainty, multiple optimization of economy and environment, demand the response mechanism of the multi energy complementary micro the complicated problem of network operation optimization, to include photovoltaic power generation, cogeneration unit, ground source heat pump. The grid connected pool and load of multi energy complementary micro network as the research object, from the optimization of multi energy complementary microgrid operation optimization method of the system engineering angle, lay a theoretical foundation for the establishment of the complex operating conditions of high efficiency and robustness of the microgrid operation system, system optimization theory in multi energy complementary micro application network operation to provide the reference. The specific research contents and results are as follows: firstly, according to the "power determined by heat" and "electric heat" mode with renewable energy and load multiple uncertainty of microgrid economic operation optimization problem, this paper presents a robust microgrid criterion of multi stage regret economic operation optimization method based on considering the conservatism of the microgrid operation, with a robust measure of minimax regret degree to describe the microgrid operation model of multi stage. Because of the existence of coupling characteristics of multi stage model, based on the convex Planning duality theorem of non separation constraints in the model will be converted to the separation constraints, and thus simplify the optimization model for the optimization model of multi stage, and then put forward the Lagrange two relaxation and cross entropy hybrid algorithm to solve the model. The simulation results show that the proposed method can optimize the economic operation in the biggest uncertainty disturbance minimum economic regret then, to obtain the optimal economic benefits of microgridoperation regulation conservative degree. Secondly, according to the "power determined by heat" and "electric heat" mode of microgrid operation cost, operation optimization of multi target carbon dioxide emissions and a fossil energy consumption, is proposed based on heuristic scheduling rules and improved the target cross entropy algorithm for microgrid multi-objective optimization method. Considering the operation between the multi-objective coordination and game relationship may lead to deviation from the operation scheme of microgrid construction intention, design inspiration Scheduling rule revision to generate Pareto operation scheme, and further reduce the feasible solution region and improve the efficiency of the algorithm. For the diversity of security Pareto microgrid operation scheme and optimality by sub sampling generation strategy and parameter update mechanism to improve the cross entropy multi-objective algorithm. Simulation results show that the optimization method can be run through the goal of Titus a solution to obtain the Pareto optimal solution set, the realization of economic, environmental and energy consumption at the same time. Then the optimal target for renewable energy, and multiple load uncertainty and economic and environmental multiple optimization objectives in the microgrid transport status coexist in the course, put forward the optimization method of operation set minimum maximum robust multi-objective microgrid based on the uncertainty and multi-objective. Considering the different effects of random scenes on economic and environmental goals to generate robust operation scheme, according to Lu Pareto The optimal solution is defined to construct a robust bar measure of microgrid minimum maximum multi-objective optimal operation model, complex structure and the target of Titus bi level programming model, a multi-objective optimization design inner and outer set value double solution frame optimization. The simulation results show that the proposed operation optimization method to suppress and uncertain disturbances. To obtain the optimal micro economic and environmental benefits of network operation, and can adjust the operation scheme of robustness in multi objective framework. Finally, according to the mechanism of the micro economic and environmental optimization operation in response to demand, and operation in the process of renewable energy and the uncertainty of load disturbance, proposed min max robust point the multi-objective microgrid operation optimization method based on supply and demand of bilateral cooperation. Considering the load on the price and incentive is not sensitive, put forward the load transfer based on demand response The model, and constructs the supply and demand of microgrid bilateral collaborative robust multi-objective optimal operation model. Because the model has decision variable coupling and nonlinear characteristics, strong duality principle based on transforming the model to determine a robust measure of microgrid operation and multi-objective programming, a multi-objective cross entropy algorithm to solve the model. The simulation results show that the the operation optimization method can effectively utilize the demand response optimization of economic and environmental goals and reduce the supply side in dealing with the uncertainty of the pressure, while ensuring that the multiple uncertainty situation of microgrid integrated for optimal efficiency.

【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2017
【分類號】：TM727
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本文編號：1425288