主动配电网中源荷储多能互补协同优化的灵活性调度方法

邹彦; 龙兵; 陈军; 熊麒麟; 张晓成; 刘洪涛

邹彦,龙兵,陈军,熊麒麟,张晓成,刘洪涛.主动配电网中源荷储多能互补协同优化的灵活性调度方法[J].电测与仪表,2026,63(9):153-166.
ZOU Yan,LONG Bing,CHEN Jun,XIONG Qilin,ZHANG Xiaocheng,LIU Hongtao.Flexible scheduling method for multi-energy complementary cooperative optimization of source-load-storage in active distribution network[J].Electrical Measurement & Instrumentation,2026,63(9):153-166.

主动配电网中源荷储多能互补协同优化的灵活性调度方法

Flexible scheduling method for multi-energy complementary cooperative optimization of source-load-storage in active distribution network

DOI：10.19753/j.issn1001-1390.2026.09.015

中文关键词: 主动配电网源荷储多能互补粒子群算法协调调度

英文关键词:active distribution network, source-load-storage, multi-energy complementarity, particle swarm optimization, coordination and scheduling

基金项目:1.湖北省自然科学基金联合基金项目（2022CFD167） 2.国网宜昌供电公司科学技术项目（B715H023001L）

作者中文名	作者英文名	单位
邹彦	ZOU Yan	国网湖北省电力有限公司宜昌供电公司
龙兵	LONG Bing	国网湖北省电力有限公司宜昌供电公司
陈军	CHEN Jun	国网湖北省电力有限公司宜昌供电公司
熊麒麟	XIONG Qilin	国网湖北省电力有限公司宜昌供电公司
张晓成	ZHANG Xiaocheng	国网湖北省电力有限公司宜昌供电公司
刘洪涛	LIU Hongtao	国网湖北省电力有限公司宜昌供电公司

摘要点击次数: 60

中文摘要:

主动配电网中涉及多种能源形式（如光伏、风电、微型燃气轮机、蓄电池，等），这些能源形式的出力特性各不相同，且相互之间存在复杂的耦合关系，考虑功率消耗以及储能量等约束，难以获取源荷储多能互补的最优调度方案。为此，提出主动配电网源荷储多能互补协同优化调度方法。计算主动配电网中的电站的出力结果，并结合时间因素，获取综合能源多能互补后的发电输出特性；在原始源荷储技术基础上引入多能互补理念，以最小的运行成本、最小的网损作为优化目标，同时考虑将日前调度、调度单元的调整量最小化，最大范围加强新能源消纳量，采用层次分析法优化目标的对应权重，构建协同优化调度目标函数，并设置多种能源协作的冷功率约束、热功率约束、电功率约束、储能约束与潮流约束，采用粒子群算法对其协同优化调度，通过调整加速因子、动态调整迭代策略改进粒子群算法，对目标函数求解，通过不断地更新粒子的速度和位置，实现源荷储多能互补协同优化调度。实验结果表明，所提方法在日内优化调度测试中显著提升了新能源消纳量与电压稳定性，并在不同地理、气候及能源结构区域中展现出较高的能源利用率，验证了其广泛的适用性和优化效果。

英文摘要:

Active distribution network involves a variety of energy forms (such as photovoltaic, wind power, micro gas turbine, battery, etc), the output characteristics of these energy forms are different, and there is a complex coupling relationship between them. Considering the constraints of power consumption and energy storage, it is difficult to obtain the optimal scheduling scheme of multi-energy complementarity of source load and storage. Therefore, a multi-energy complementary cooperative scheduling method for active distribution network is proposed. The output results of power stations in active distribution network are calculated, and the output characteristics of integrated energy after multi-energy complementary are obtained by combining time factors. Based on the original source-load-storage technology, the concept of multi-energy complementarity is introduced, and the optimization goal is to minimize the operating cost and the minimum network loss. At the same time, the adjustment amount of day-ahead scheduling and scheduling units is considered to minimize, and the absorption amount of new energy is strengthened to the maximum extent. The analytic hierarchy process is adopted to optimize the corresponding weight of the target, and the objective function of cooperative optimal scheduling is constructed. In addition, the cold power constraint, hot power constraint, electric power constraint, energy storage constraint and power flow constraint for the cooperation of various energy sources are set, and the particle swarm optimization algorithm is adopted to optimize the cooperative scheduling. The particle swarm optimization algorithm is improved by adjusting the acceleration factor and dynamically adjusting the iterative strategy. The objective function is solved and the multi-energy complementary cooperative optimal scheduling is realized by constantly updating the particle speed and position. The experimental results show that the proposed method significantly improves the consumption of new energy and voltage stability in intra-day optimization scheduling tests, and exhibits high energy utilization efficiency in different geographical, climatic, and energy structure regions, verifying its wide applicability and optimization effect.

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