计及负荷需求响应的分布式电源并网规划

发布时间：2019-02-21 09:59

【摘要】：需求侧管理措施、分布式电源并网和配电自动化等电网新技术的持续稳定发展为传统配电网的运行和规划方法带来了巨大的挑战。持续快速增长的负荷需求如果仅依靠配电网扩容来满足,电力系统建设周期长和扩建投资较大的情况就会出现,导致经济性要求无法被满足,并且无法充分考虑需求侧响应及分布式发电等因素,不利于智能电网的发展。在高比例分布式电源并网、负荷需求侧急需管理的环境下,将分布式发电和需求侧管理引入配电网规划,建立基于分布式电源和需求侧管理的规划框架,具有重要的研究价值与工程意义。本文介绍分布式发电和需求侧管理技术的概念和分类,介绍配电网中接入分布式电源导致的如系统潮流、电能质量、可靠性等影响,分析简述以新能源为代表的分布式发电技术的数学模型并说明各自的工作原理;分析需求侧管理技术措施以及对分布式电源并网的影响,提出分析需求侧管理实施过程中可能遇到的问题。在分布式电源的形式不确定的情况下,考虑其对配电网规划中的影响,以分布式电源的网损费用、投资及运行费用、引入分布式电源后环境效益、购电费用等为目标确定目标函数,在联合规划的配电网规划模型中引入需求侧管理。研究分布式电源接入主动配电网的优化配置问题,建立多目标优化配置模型,提出一种混合智能粒子群算法,在优化过程中改善其全局搜索能力。编写混合智能粒子群算法计算程序,寻优目标函数,得到包括经济性和可靠性在内的最优的规划方案。分别计算对IEEE-33节点以及PGE-69节点配电系统,分析在不同负荷水平下各指标的变化情况,研究负荷变化时DG的最佳配置,验证算法和模型的有效性。
[Abstract]:The continuous and stable development of new technologies such as demand-side management, distributed power grid connection and distribution automation has brought great challenges to the traditional distribution network operation and planning methods. If the continuous and rapid growth of load demand is satisfied only by distribution network expansion, the long construction period and large investment in the expansion of power system will occur, resulting in economic requirements can not be met. And the demand side response and distributed generation can not be fully considered, which is not conducive to the development of smart grid. In the environment of high proportion of distributed power generation and urgent need of load demand side management, the distributed generation and demand side management are introduced into distribution network planning, and the planning framework based on distributed generation and demand side management is established. It has important research value and engineering significance. In this paper, the concept and classification of distributed generation and demand-side management technology are introduced, and the influence of power flow, power quality, reliability and so on caused by access to distributed generation in distribution network is introduced. The mathematical models of distributed power generation technology represented by new energy are analyzed and their working principles are explained. This paper analyzes the technical measures of demand-side management and its influence on the grid connection of distributed power supply, and puts forward the problems that may be encountered in the implementation of demand-side management. In the case of uncertain form of distributed generation, considering its influence on distribution network planning, the environmental benefits of distributed generation are introduced in terms of network loss cost, investment and operation cost of distributed generation. The cost of purchasing electricity is the objective function, and demand-side management is introduced into the distribution network planning model of joint planning. This paper studies the optimal configuration of distributed power supply access active distribution network, establishes a multi-objective optimal configuration model, and proposes a hybrid intelligent particle swarm optimization algorithm to improve its global search ability in the process of optimization. The program of hybrid intelligent particle swarm optimization algorithm is written to optimize the objective function and obtain the optimal programming scheme including economy and reliability. The distribution system of IEEE-33 node and PGE-69 node is calculated, the variation of each index under different load level is analyzed, the optimal configuration of DG is studied, and the validity of algorithm and model is verified.
【学位授予单位】：东北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM73;TM715

【参考文献】