考虑源网荷储的有功无功协调降损控制策略研究

Research on the Coordinated Active-Reactive Power Control Strategy for Loss Reduction Considering Source-Grid-Load-Storage

中文关键词:网损  电压偏差  源网荷协调优化  多目标优化  粒子群算法

keywords:network loss  voltage offset  source-network-load coordination optimization  multi-objective optimization  particle swarm algorithm

中文摘要:在推动绿色低碳的“双碳”目标下，构建融合风光等新能源的电力系统面临诸多考验，特别是新能源的波动特性加剧了电网损耗与电压稳定问题。创新性地构建了融合源、网、荷、储综合互动的功率调控优化模型，以应对挑战，确保电力系统安全、高效运行。选取典型日风光的出力曲线，建立以网损和电压偏差为目标函数的数学模型，并采用多目标粒子群算法求解数学模型得到Pareto解的分布；根据分析无功补偿设备和储能、可调负荷的运行策略以降低系统运行网损、平抑电压波动，更好地发展新型电力系统；以改进IEEE 30节点系统为对象，对所提优化控制模型进行了有效分析。

Abstract:Under the "Dual carbon" goals of promoting green and low-carbon development，the construction of a power system integrating renewable energy sources such as wind and solar power faces many challenges. In particular，the fluctuating characteristics of renewable energy sources can exacerbate grid losses and voltage instability. To address these challenges and ensure the safe and efficient operation of the power system，an innovative power control optimization model that integrates the interaction of sources，grid，loads，and storage is developed in this paper. First，wind and solar power generation curves on a typical day are selected to establish a mathematical model with grid losses and voltage deviations as the objective functions and a multi-objective particle swarm optimization algorithm is employed to solve the mathematical model and obtain the distribution of Pareto solutions. Second，the operating strategies of reactive power compensation devices，energy storage，and adjustable loads are analyzed to reduce system operational losses and mitigate voltage fluctuations，thereby better developing the new type of power system. Finally，the proposed optimization control model is effectively analyzed using the improved IEEE 30-bus system as the case study.