本文選題：微網(wǎng) + 能量管理和優(yōu)化　； 參考：《天津大學(xué)》2014年博士論文

【摘要】：微網(wǎng)作為分布式電源的有效組織形式，，不僅能充分發(fā)揮分布式發(fā)電技術(shù)在資源節(jié)約和環(huán)境保護方面的優(yōu)勢，同時還可有效解決其并網(wǎng)時的技術(shù)和管理難題，但目前微網(wǎng)能量管理和優(yōu)化仍缺乏系統(tǒng)、有效的方法。本文系統(tǒng)研究了微網(wǎng)調(diào)度優(yōu)化的模型和方法，主要工作如下： （1）綜合考慮微網(wǎng)系統(tǒng)組成的多樣性和能量流動的復(fù)雜性，建立了微網(wǎng)所含多種類分布式發(fā)電、分布式儲能和分布式供熱設(shè)備的準(zhǔn)穩(wěn)態(tài)模型，在分析典型微網(wǎng)組成和結(jié)構(gòu)特征的基礎(chǔ)上，提出一種微網(wǎng)通用母線式結(jié)構(gòu)描述方式。該結(jié)構(gòu)不僅協(xié)調(diào)了設(shè)備獨立性和系統(tǒng)復(fù)雜性之間的矛盾，清晰展示了系統(tǒng)的組成結(jié)構(gòu)和能量流動關(guān)系；同時也搭建了系統(tǒng)描述和模型建模之間的橋梁，有利于實現(xiàn)通用模型的程序化、自動化建模。 （2）針對含冷熱電聯(lián)供（CCHP）系統(tǒng)的綜合型微網(wǎng)調(diào)度優(yōu)化問題，以微網(wǎng)設(shè)備準(zhǔn)穩(wěn)態(tài)模型和母線式結(jié)構(gòu)能量流描述方法為基礎(chǔ)，提出基于母線式結(jié)構(gòu)的微網(wǎng)調(diào)度優(yōu)化模型和方法。以典型的微網(wǎng)經(jīng)濟調(diào)度優(yōu)化模型為例，通過對其目標(biāo)函數(shù)、優(yōu)化變量和約束條件三項基本要素的分析和處理，詳細闡述微網(wǎng)調(diào)度優(yōu)化模型的建模過程。根據(jù)微網(wǎng)經(jīng)濟調(diào)度優(yōu)化模型的特征，選擇數(shù)學(xué)規(guī)劃方法和智能算法對模型進行求解，分析了調(diào)度策略、設(shè)備模型、電價機制等對調(diào)度計劃和運行費用的影響。 （3）進一步結(jié)合多目標(biāo)優(yōu)化、隨機優(yōu)化和調(diào)度設(shè)計一體化問題對微網(wǎng)調(diào)度優(yōu)化模型進行了擴展，豐富了調(diào)度優(yōu)化模型的體系結(jié)構(gòu)。通過多目標(biāo)調(diào)度優(yōu)化模型、隨機調(diào)度優(yōu)化模型和調(diào)度設(shè)計雙層優(yōu)化模型的建模和算例分析，研究了微網(wǎng)環(huán)境成本、不確定因素和系統(tǒng)配置對調(diào)度計劃的影響，證實了基于母線式結(jié)構(gòu)微網(wǎng)調(diào)度優(yōu)化模型的通用性和魯棒性。針對此三類擴展模型，通過Pareto優(yōu)化與初始點引導(dǎo)技術(shù)的結(jié)合、Monte Carlo仿真與遺傳算法的結(jié)合、多目標(biāo)進化算法和數(shù)學(xué)規(guī)劃方法的結(jié)合，有效提升了擴展模型的求解能力和優(yōu)化效果。
[Abstract]:As an effective organization of distributed power generation, microgrid can not only give full play to the advantages of distributed power generation technology in resource conservation and environmental protection, but also effectively solve the technical and management problems when connected to the grid. However, there is still a lack of systematic and effective methods for microgrid energy management and optimization. This paper systematically studies the model and method of microgrid scheduling optimization. The main work is as follows: 1) considering the diversity of microgrid system composition and the complexity of energy flow, a multi-type distributed generation system is established. The quasi-steady model of distributed energy storage and distributed heating equipment is presented. Based on the analysis of typical microgrid composition and structural characteristics, a bus structure description method for micro-network communication is proposed. The structure not only coordinates the contradiction between the independence of the equipment and the complexity of the system, but also clearly shows the relationship between the composition of the system and the energy flow, and also builds a bridge between the system description and the modeling of the system. It is helpful to realize the programming and automatic modeling of the general model. (2) aiming at the optimization of integrated microgrid scheduling for CCHPs with combined cooling and heat supply system, based on the quasi-steady model of microgrid equipment and the energy flow description method of generatrix structure, The optimization model and method of microgrid scheduling based on busbar structure are presented. Taking the typical microgrid economic scheduling optimization model as an example, the modeling process of the microgrid scheduling optimization model is described in detail through the analysis and processing of its objective function, optimization variables and constraints. According to the characteristics of microgrid economic scheduling optimization model, the mathematical programming method and intelligent algorithm are selected to solve the model, and the scheduling strategy and equipment model are analyzed. The influence of electricity pricing mechanism on scheduling plan and operation cost. (3) combining with multi-objective optimization, stochastic optimization and scheduling design integration, the optimization model of micro-grid scheduling is extended. It enriches the architecture of scheduling optimization model. Based on the modeling of multi-objective scheduling optimization model, stochastic scheduling optimization model and scheduling design bilevel optimization model, the effects of microgrid environment cost, uncertainty factors and system configuration on scheduling plan are studied. The generality and robustness of the scheduling optimization model based on generatrix structure are confirmed. By combining Pareto optimization with initial point guidance technique, Monte Carlo simulation and genetic algorithm, and the combination of multi-objective evolutionary algorithm and mathematical programming method, the solving ability and optimization effect of the extended model are improved effectively.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：TM73

【相似文獻】

相關(guān)期刊論文 前10條

1 撖奧洋;鄧星;文明浩;李惠宇;陳曉燕;;高滲透率下大電網(wǎng)應(yīng)對微網(wǎng)接入的策略[J];電力系統(tǒng)自動化;2010年01期

2 楊仁花;黃偉;關(guān)麗;劉令富;;微網(wǎng)結(jié)構(gòu)和運行控制[J];電網(wǎng)與清潔能源;2010年01期

3 王志霞;張會民;田偉;;微網(wǎng)研究綜述[J];電氣應(yīng)用;2010年06期

4 魯貽龍;王斌;曹祖亮;;儲能系統(tǒng)改善微網(wǎng)動態(tài)性能的研究[J];湖北工業(yè)大學(xué)學(xué)報;2010年01期

5 歐陽

本文編號：2032611