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促进可再生能源消纳的主动配电网多目标优化运行研究

发布时间:2018-12-15 17:09
【摘要】:全世界范围内对能源的需求不断增加,使得分布式电源,特别是可再生分布式电源(Distributed Renewable Energy Generation, DREG)在配电网中渗透率逐步提高,主动配电网技术(Active Distribution Network, ADN)依托于信息通信技术和自动化技术,能够对配电网中的组成部分实现主动管控,从而提高配电网对规模化分布式电源接入的应对能力。本文针对主动控制模式下的有功/无功协调优化运行问题开展研究,主要工作包括以下几个方面:首先,分别从电源侧和负荷侧对ADN的集成模式进行分析。并针对分布式电源、储能系统和可控负荷的调度方式和控制模式进行了研究。其中,重点对基于DC-AC换流器并网的DREG有功/无功解耦控制方式展开研究,并以促进可再生能源消纳为核心目标,设计了ADN日前优化调度策略。其次,以配电网中经济效益与环境效益协同优化为目标,构建了ADN多目标日前优化调度模型。模型中,分别以ADN运行成本表征电网公司经济效益,以风电/光伏机组弃风/弃光量表征ADN的环境效益,以网络运行损耗衡量ADN运行效率。而后,针对ADN多目标日前优化调度模型的多维度、非线性、断面耦合性等特点,利用自适应多目标和声算法对模型进行求解。引入动态参数调整策略和音调步长优化方法,增强算法整体性能,使得算法在多目标优化模型求解中具备良好的适应性。最后,选取扩展IEEE33节点配电系统对模型进行验证分析。通过求取Pareto最优解,证明随着可再生能源利用率的提高,运行经济成本与系统网损均有所增加。算例分析表明:DREG无功调节能力有助于提高配电网的整体运行效率;计及可再生能源多电压等级消纳策略在一定DREG渗透率下,有利于提高可再生能源利用率。
[Abstract]:With the increasing demand for energy worldwide, the permeability of distributed generation (Distributed Renewable Energy Generation, DREG), especially the renewable distributed generation (Distributed Renewable Energy Generation, DREG), is gradually increasing in the distribution network, and the active distribution network technology (Active Distribution Network,) Based on the information communication technology and automation technology, ADN can control the components of the distribution network actively and improve the ability of the distribution network to deal with the large-scale distributed power supply access. In this paper, the optimal operation of active / reactive power in active control mode is studied. The main work includes the following aspects: firstly, the integrated mode of ADN is analyzed from power side and load side respectively. The dispatching mode and control mode of distributed power supply, energy storage system and controllable load are studied. The active / reactive power decoupling control method based on DC-AC converter is studied, and the optimal scheduling strategy of ADN is designed to promote renewable energy consumption. Secondly, aiming at the cooperative optimization of economic and environmental benefits in distribution network, the multi-objective pre-day optimal dispatching model of ADN is constructed. In the model, the economic benefit of grid company is represented by ADN operating cost, the environmental benefit of ADN is characterized by wind power / photovoltaic unit abandoned wind / light quantity, and the operation efficiency of ADN is measured by network operation loss. Then, according to the characteristics of multi-dimension, nonlinear and cross-section coupling of ADN multi-objective pre-day optimal scheduling model, adaptive multi-objective harmonic algorithm is used to solve the model. The dynamic parameter adjustment strategy and the tone step optimization method are introduced to enhance the overall performance of the algorithm, which makes the algorithm have good adaptability in solving the multi-objective optimization model. Finally, the extended IEEE33 node distribution system is selected to verify the model. By obtaining the optimal solution of Pareto, it is proved that with the increase of renewable energy efficiency, the operating economic cost and system network loss are increased. The example shows that the reactive power regulation ability of DREG is helpful to improve the overall operation efficiency of the distribution network, and taking into account the multiple voltage level absorption strategy of renewable energy under a certain DREG permeability, it is beneficial to improve the utilization rate of renewable energy.
【学位授予单位】:华北电力大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TM732

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