主动配电网电能质量治理资源分区协同优化配置策略研究

The power quality pollution which is interaction coupling and intensive in the active distribution network has a prominent contradiction with the equipment sensitive demand. This project, combined with the characteristics of treatment facilities which have various types, cross function and special/dual purpose, from the thought of cooperative configuration of governance resources, aimed at minimizing the cost of configuration, is designed to research on cooperative optimal strategy in global distribution of power quality treatment equipment in active distribution network, in order to excavate the governance resource superiority and ensure the comprehensive governance capacity of whole network power quality. The method of governance partition based on mechanism analysis and data driven is studied, to ensure the regionalization of power quality governance and the effectiveness of the candidate governance nodes. In order to minimize the cost of investment in governance equipment, the cooperative optimal configuration method with comprehensive consideration of multi-type, multi-function and multi-index power quality treatment equipment is proposed. In view of the different planning requirements for special/dual-purpose equipment, a comprehensive optimal configuration model for the treatment equipment is constructed. Considering the coupling of DG optimal configuration and power quality governance, a combined bi-level programming model of distributed generation and power quality configuration is established. Chance-constrained programming is used to process parameter uncertainty. The main / auxiliary decision coordination strategy is used to solve the diversity of running scene. The global optimization algorithm and greedy algorithm are used to find the optimal solution of the model. The achievement of the research goal will provide a new solution for the economical and coordinated power quality governance of the active distribution network.

主动配电网电能质量污染密集、交互耦合，与设备敏感需求产生突出矛盾。本项目结合治理设备类型多样、功能交叉、专/兼结合的特点，从治理资源协同配置思想出发，以配置成本最小为目标，探索主动配电网电能质量治理设备全局分布式协同优化配置策略，旨在挖掘治理资源优势，保障全网电能质量综合治理能力。研究基于机理分析和数据驱动的治理分区方法，保障电能质量治理的区域化和候选治理节点的有效性；以治理设备投资成本最小为目标，提出综合考虑多类型、多功能、多指标的电能质量治理设备协同优化配置方法；针对专/兼用设备不同规划需要，构建治理设备综合优化配置模型；考虑DG优化配置与电能质量治理耦合性，建立分布式电源与电能质量配置联合二层规划模型。采用机会约束规划处理参数不确定性、主/辅决策协调策略解决运行场景多样性、全局优化算法和贪婪算法寻求模型最优解。研究目标的达成，为主动配电网实现经济、协调的电能质量治理提供全新解决方案。

主动配电网电能质量问题日益突出，目前电能质量治理设备优化配置主要围绕谐波问题考虑单一功能、进行单类设备的配置，没有考虑设备的多功能性及兼用性，不能满足不确定复杂运行场景对规划配置问题的适应性需求。本项目结合治理设备类型多样、功能交叉、专/兼结合的特点，从治理资源协同配置思想出发，探索主动配电网电能质量治理设备全局分布式协同优化配置策略，旨在挖掘治理资源优势，保障全网电能质量综合治理能力。依据电能质量的区域化特性，建立谐波灵敏度及无功灵敏度矩阵作为分区指标，采用基于模块度函数的Louvain社团发现算法将网络划分为不同的区域，实现电能质量的区域治理；提出用电数据驱动的节点污染排放概率估计方法，建立源荷行为状态随机模型，构造节点概率估计等效模型及其时变形式；从调度周期的角度对专/兼资源的可调控周期响应等级进行划分，得到了配电网电压与治理设备时变区间关系，建立可调资源多时间尺度协同控制关系，降低配电网专用资源配置的容量上限，利用调压利弊规律控制构网型设备参与无功补偿，降低配电网全网电压偏差；基于多场景分析技术，提出综合谐波污染和多功能逆变器剩余容量的不确定性场景集构建方法；提出计及DG参与谐波和电压治理的分布式治理资源多目标协同优化配置策略；提出DG并网逆变器剩余容量补偿策略，建立分布式治理资源多目标协同优化配置模型；提出了计及DG有功削减的VDAPF和SVG双层协同优化配置策略，利用DG并网逆变器自然剩余容量和DG有功削减释放的逆变器容量协助SVG进行无功补偿，以进一步减少SVG配置容量；建立具有机会约束概率形式的不等式约束条件和具有概率场景形式的DG最大接入容量或最大投资收益优化模型，在合理配置电能质量治理能力并充分发挥治理作用的基础上，追求DG接入容量最大化或总投资收益最大化；采用规格化法平面约束法求解建立的多目标协同优化配置模型，以获得一组均匀分布的Pareto解集，为决策者提供多种不同水平的可选配置方案；采用改进PSO算法求解协同优化配置模型，扩大算法初期搜索范围，避免陷入局部最优，缩小迭代后期搜索范围，提高寻优速度。