配电网需求响应资源规划模型研究

发布时间：2018-11-14 13:46

【摘要】：随着可再生清洁能源在配电网的装机容量逐渐提高,配电系统面临促进清洁能源本地接纳和延缓配电系统扩容投资的发展需求,配电网的安全性、经济性以及灵活性面临新的挑战。规模化、合理开发和使用负荷侧需求响应资源是应对这一挑战的一项经济而可靠的重要措施。本文针对配电网需求响应资源规划问题,基于综合资源规划,以及“源-网-荷”协调规划的思想,考虑需求响应资源对配电网规划运行的影响,计及配网系统运行的安全约束,研究如何优化规划配电网中需求响应资源,决策配网中适宜开发使用的需求响应资源大小和位置。论文主要研究内容如下:(1)计及需求响应为配电网所带来的提高清洁能源利用率、减缓系统调峰压力以及延缓配电网设备投资三方面效益,并考虑配网中需求响应资源开发运行成本,提出了配电网需求响应综合效益计算方法;(2)以最大化需求响应资源给配电网带来的需求响应综合净效益为目标函数,考虑配电网运行安全约束,建立配电网需求响应资源优化规划模型。规划模型中嵌入了典型新能源发电场景下配电网需求响应资源日内多时段优化响应过程,并计及不同空间位置需求响应资源的响应效益的差异性。(3)采用改进的粒子群算法对规划模型的进行求解。算例分析验证模型可优化决策配电网需求响应资源开发规划,评估出配电网中DR资源优化规划潜在的需求响应综合效益,同时还可辅助配电网运营商筛选需求响应资源。
[Abstract]:With the increasing of the installed capacity of renewable clean energy in the distribution network, the distribution system is faced with the development demand of promoting the local acceptance of clean energy and delaying the investment of distribution system expansion, and the security of distribution network. Economy and flexibility face new challenges. Scale, rational development and use of load side demand response resources is an important economic and reliable measure to meet this challenge. Based on the idea of integrated resource planning and "source-network-load" coordination planning, the influence of demand response resources on distribution network planning is considered in this paper. Taking into account the security constraints of distribution network operation, this paper studies how to optimize the planning of demand response resources in distribution network and make decisions on the size and location of demand response resources suitable for development and use in distribution networks. The main contents of this paper are as follows: (1) considering the benefits of increasing clean energy utilization, reducing system peak regulation pressure and delaying investment of distribution network equipment brought by demand response, Considering the cost of development and operation of demand response resource in distribution network, the comprehensive benefit calculation method of demand response of distribution network is put forward. (2) based on the objective function of maximizing the net benefit of demand response to distribution network, considering the security constraints of distribution network, the optimal planning model of demand response resource is established. In the planning model, a typical new energy generation scenario is embedded to optimize the response process of distribution network demand response resources in a multi-time period. Considering the difference of response benefit of response resources in different space position. (3) the improved particle swarm optimization algorithm is used to solve the programming model. The model can optimize the demand response resource development planning of distribution network, evaluate the potential demand response comprehensive benefit of DR resource optimization planning in distribution network, and assist distribution network operators to screen demand response resources at the same time.
【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】：2017
【分类号】：TM73;TM715

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