本文關(guān)鍵詞： 冷熱電聯(lián)供 微電網(wǎng) 優(yōu)化調(diào)度 需求側(cè)響應(yīng)　出處：《杭州電子科技大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：冷熱電聯(lián)供型微電網(wǎng)系統(tǒng)利用冷熱電聯(lián)供機(jī)組的能源階梯高效利用的特點(diǎn),并整合了其他分布式發(fā)電單元,是一種理想的微電網(wǎng)組成形式。它具有運(yùn)行模式多樣、能源利用率高、控制靈活、供電可靠性高以及環(huán)境污染小等特點(diǎn),受到各國(guó)的廣泛重視,已經(jīng)成為第二代能源技術(shù)的重點(diǎn)研究對(duì)象。本文主要對(duì)并網(wǎng)冷熱電聯(lián)供型微電網(wǎng)日前多目標(biāo)優(yōu)化調(diào)度問(wèn)題進(jìn)行了研究。本文首先對(duì)組成冷熱電聯(lián)供型微電網(wǎng)系統(tǒng)的單元模型進(jìn)行了詳細(xì)的介紹與分析,隨后以系統(tǒng)的運(yùn)行成本和污染物排放治理費(fèi)用最低為目標(biāo),選取系統(tǒng)中的可控設(shè)備如微型燃?xì)廨啓C(jī)、蓄電池、蓄熱槽的出力作為優(yōu)化變量,建立了基于Pareto支配關(guān)系的冷熱電聯(lián)供型微電網(wǎng)多目標(biāo)優(yōu)化調(diào)度數(shù)學(xué)模型。對(duì)系統(tǒng)中的模型以及運(yùn)行過(guò)程中的約束條件進(jìn)行了分類,并根據(jù)不同約束種類給出了不同的解決方案。針對(duì)多目標(biāo)遺傳算法和粒子群算法的優(yōu)缺點(diǎn),提出基于優(yōu)化粒子引導(dǎo)的多目標(biāo)粒子群優(yōu)化算法。最后,以某一居民小區(qū)日常能源供應(yīng)為例,分別給出了夏季和冬季典型日優(yōu)化調(diào)度問(wèn)題的Pareto前沿。分析了系統(tǒng)運(yùn)行成本最低和污染物排放治理費(fèi)用最低時(shí)系統(tǒng)的調(diào)度運(yùn)行策略。并與夏季典型日下以“以熱定電”、“以電定熱”方式以及分時(shí)電價(jià)模式下系統(tǒng)的調(diào)度策略進(jìn)行了對(duì)比分析。研究表明使用本文的冷熱電聯(lián)供型微電網(wǎng)多目標(biāo)動(dòng)態(tài)優(yōu)化調(diào)度方法,不僅可根據(jù)不同目標(biāo)的側(cè)重靈活選取調(diào)度方案,而且還可進(jìn)一步降低系統(tǒng)的運(yùn)行成本和環(huán)境成本。考慮到用戶側(cè)可平移負(fù)荷的響應(yīng),可先對(duì)負(fù)荷進(jìn)行優(yōu)化。本文制定了與電價(jià)成反比例關(guān)系的目標(biāo)負(fù)荷,并建立了消毒柜、洗衣機(jī)、熱水器三種可平移負(fù)荷的數(shù)學(xué)模型。本文提出了一種“以商定量,以余定度”的方法確定系統(tǒng)的平移策略,使平移后的負(fù)荷曲線和制定的目標(biāo)負(fù)荷盡可能相似。在平移后負(fù)荷數(shù)據(jù)的基礎(chǔ)上,對(duì)冷熱電聯(lián)供型微電網(wǎng)進(jìn)行了多目標(biāo)日前優(yōu)化調(diào)度,結(jié)果表明系統(tǒng)的運(yùn)行費(fèi)用得到了進(jìn)一步降低。
[Abstract]:Based on the characteristics of high efficiency utilization of the energy ladder of the combined cooling and heat generating unit and integrating other distributed generation units, the combined cooling and heat supply microgrid system is an ideal microgrid form. It has a variety of operation modes. The characteristics of high energy efficiency, flexible control, high reliability of power supply and small environmental pollution have received extensive attention from various countries. It has become the focus of the second generation energy technology. This paper mainly studies the multi-objective optimal dispatching problem of the combined cold and heat combined microgrid. Firstly, this paper studies the composition of the cold and heat combined micro-grid system. The unit model is introduced and analyzed in detail, Then taking the lowest operating cost and pollutant discharge treatment cost of the system as the target, the output of controllable equipment such as micro gas turbine, storage battery and heat storage tank is selected as the optimization variable. The mathematical model of multi-objective optimal dispatching for the combined cooling and heat power microgrid based on Pareto dominating relationship is established. The system models and the constraints in the operation process are classified. According to different kinds of constraints, different solutions are given. Aiming at the advantages and disadvantages of multi-objective genetic algorithm and particle swarm optimization, a multi-objective particle swarm optimization algorithm based on particle guidance optimization is proposed. Take the daily energy supply in a residential district as an example. In this paper, the Pareto frontier of the typical daily optimal scheduling problem in summer and winter is given, respectively. The scheduling strategies of the system with the lowest operating cost and the lowest pollutant emission treatment cost are analyzed. The scheduling strategy of the system under the mode of fixed electricity, fixed heat and time-sharing electricity price is compared and analyzed. The research shows that the multi-objective dynamic optimal dispatching method of the micro-grid based on combined cooling and heat supply is used in this paper. Not only can the scheduling scheme be flexibly selected according to different objectives, but also the operating cost and environmental cost of the system can be further reduced, taking into account the response of the translatable load on the user side. First, the load can be optimized. In this paper, the target load which is inversely proportional to the electricity price is established, and the mathematical model of three transportable loads of disinfector, washing machine and water heater is established. The translation strategy of the system is determined by the method of residual degree, so that the load curve after translation is similar to the target load as much as possible. On the basis of load data after translation, the multi-objective pre-day optimal dispatching is carried out for the micro-grid with combined cooling and heat supply. The results show that the operating cost of the system has been further reduced.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM73

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