含分布式电源的配电网协同优化分析

发布时间：2017-12-28 16:27

本文关键词：含分布式电源的配电网协同优化分析　出处：《华北电力大学(北京)》2016年硕士论文　论文类型：学位论文

【摘要】：近年来,我国的经济迅猛发展,与此同时,经济的快速增长带来了巨大的能源消耗,在能源供给方面形成了化石能源如煤炭、石油、天然气与新能源、可再生能源如风能、太阳能等多种能源共同发展的供给体系。然而,我国能源资源分布不均且已探明的储量有限,在能源的供给侧我国的能源供给一直以煤炭为主。随着国家对天然气资源的大力开发和对利用可再生能源的大力倡导,清洁能源以及可再生能源利用开始蓬勃发展。从发展趋势来看,煤炭和石油在能源生产中的比例在逐渐降低,而风电、光伏发电所占比例不断增大。伴随着我国经济的飞速发展,电网建设规模日益庞大,电力需求也迅猛增长然而当前情形下我国的发电依然过度依赖火电,燃煤作为主要的一次能源供给已无法满足我国电力发展的需要,另外日益加重的环保问题也让传统发电单元面临严峻挑战。分布式电源的出现成功地解决了上述问题,其充分利用风力、光照等可再生能源,实现了对一次传统能源的补充同时也具有环境友好特点,正在成为研究热点。但是,传统电网对分布式电源的接入存在一定的限度,这是因为风、光等资源具有间歇性,使得风机、光伏的输出功率不稳定,其接入电网后传统电网的稳定性将受到影响,进一步会使电网的潮流分布发生变化,使电网的电能质量下降,在此情形下保护配置也需相应地调整。而经过优化后的分布式电源接入,不仅使网损降低,改善了电能质量,而且能够实现系统的削峰填谷,从而提高了部分馈线的负载能力,延迟线路升级投资。因此,本文将对有源配电网中分布式电源的优化配置问题展开研究,研究内容包括分布式发电(风机、光伏)出力模型,储能运行模型,基于多代理系统(Multi-agent system, MAS)的配电网分布式电源定容选址协同优化模型。具体工作如下：1、对配电网中分布式电源并网技术进行研究,包括风机、光伏等分布式发电设备的发电原理和出力特性,以及基于充放电特性的储能运行模型；2、针对分布式发电出力特性与协同优化理论,建立分布式电源设备定容优化模型,并提出有分布式电源接入条件下配电网的协同优化一致性约束条件；3、根据机器学习理论,建立基于多代理系统的协同优化分层互联结构并进行优化求解；4、通过对有分布式电源并网的配电网协同优化算法的模型建立,对IEEE33系统进行仿真分析,验证本文算法的正确性和适用性。
[Abstract]:In recent years, China's rapid economic development, at the same time, the rapid economic growth has brought huge energy consumption, energy supply in the form of fossil energy such as coal, petroleum, natural gas and new energy, renewable energy such as wind energy, solar energy and other common development of the supply system. However, the distribution of energy resources in China is uneven and the proven reserves are limited. In the supply side of the energy supply, the energy supply in China has been dominated by coal. With the vigorous development of natural gas resources and the vigorous advocacy of renewable energy, the use of clean energy and renewable energy has begun to flourish. From the trend of development, the proportion of coal and oil in the energy production is gradually decreasing, while the proportion of wind power and photovoltaic power generation is increasing. Along with the rapid development of China's economy, the increasingly large scale power grid construction, the power demand is the rapid growth of China's power but the current situation is still too dependent on thermal power, coal as the main primary energy supply has been unable to meet the needs of China's power development, also increasingly aggravated the environmental problems but also to traditional power generation unit faces severe challenges. The emergence of distributed generation has successfully solved the above problems. It makes full use of renewable energy such as wind and light to achieve a supplement to a traditional energy source, and is also environmentally friendly, which is becoming a research hotspot. However, the traditional distributed power grid access to certain limits, this is because of the wind, light and other resources with intermittent power output on the wind turbine, photovoltaic instability, access to the grid after the stability of traditional power grid will be affected, further will make the grid power flow distribution is changed, which make power the decline in the quality, also need to adjust the allocation of protection under the circumstances. The optimized distributed power access not only reduces the network loss, improves the power quality, but also realizes the peak shaving and valley filling of the system, which improves the load capacity of some feeder and delays the investment of line upgrade. Therefore, this article will optimize the configuration of distributed power supply distribution network research, research content including distributed generation (fan, photovoltaic) output model, energy storage operation model based on multi agent system (Multi-agent, system, MAS) of the distributed power distribution network capacity and location collaborative optimization model. The specific work is as follows: 1, the distributed power grid technology in distribution network is studied, including the generation principle of fan, photovoltaic distributed power generation equipment and output characteristics, and based on the characteristics of charge and discharge of energy storage operation model; 2, for distributed power generation and output characteristics of collaborative optimization theory, establish the optimization model of distributed power supply the equipment, and put forward the collaborative optimization of consistency constraints of distribution network under distributed power access conditions; 3, according to the theory of machine learning, the establishment of multi agent system collaborative optimization hierarchical interconnection structure and the optimization of distribution network based on; establish a distributed power grid collaborative optimization model, by 4, to simulation analysis of IEEE33 system and verify the validity and applicability of this algorithm.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM73

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