考虑柔性负荷与节点可靠性需求的电网多参数规划方法

Multi parameter planning method for power grid considering flexible load and node reliability requirements

摘要

电网多参数规划多采用故障树分析方法,忽略电网运行风险的影响,导致参数规划效果较差。为此,提出考虑柔性负荷与节点可靠性需求的电网多参数规划方法。明确电网规划的目标与需求,通过预测电力负荷为构建电网参数规划模型;以系统运行成本最小为目标,将负荷叠加约束、储能装置约束与节点可靠性约束拟合到模型中,形成综合参数规划模型;采用改进混合差分进化算法,通过编码、变异交叉、约束筛选、适应度计算及混沌搜索等步骤,实现考虑柔性负荷与节点可靠性需求的电网多参数规划。实验结果表明,在不同运行时间下,所提方法的系统减载百分比始终控制在60%以上;在不同置信度条件下,其运行成本均低于多目标协同优化算法与改进蚁群算法,表现出更优的经济性。该方法能够有效降低电网运行成本,提升电网运行的经济性与规划效果,为电网多参数规划提供方案。

Abstract

The multi-parameter planning of power grids mostly adopts the fault tree analysis method, which ignores the influence of power grid operation risks, resulting in poor planning effects. Therefore, a multi-parameter planning method for power grids considering flexible loads and node reliability requirements is proposed. The goals and demands of power grid planning are clarified, and a power grid parameter planning model is constructed by predicting power loads; with the objective of minimizing system operation costs, load superposition constraints, energy storage device constraints, and node reliability constraints are fitted into the model to form a comprehensive parameter planning model; an improved hybrid differential evolution algorithm is adopted, through steps such as encoding, mutation crossover, constraint screening, fitness calculation, and chaotic search, to achieve multi-parameter planning of power grids considering flexible loads and node reliability requirements. Experimental results show that under different operation times, the percentage of system load reduction is always above 60%; under different confidence levels, its operation costs are lower than those of the multi-objective collaborative optimization algorithm and the improved ant colony algorithm, demonstrating better economic performance. This method can effectively reduce the operation cost of power grids, improve the economic efficiency and planning effect of power grids, and provide a solution for multi-parameter planning of power grids.

关键词

柔性负荷 / 节点可靠性 / 电网系统 / 参数规划 / 改进混合差分进化算法

Key words

flexible load / node reliability / power grid system / parameter planning / improved hybrid differential evolution algorithm