基于MCS-PSO算法的邻近海岛多微网动态调度

ZHOU Yongzhi

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基于MCS-PSO算法的邻近海岛多微网动态调度

更新时间：2025-08-13

- 基于MCS-PSO算法的邻近海岛多微网动态调度
- Automation of Electric Power Systems Vol. 38, Issue 9, Pages: 204-210(2014)
- 作者机构：
  
  浙江大学电气工程学院,浙江省,杭州市,310027
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- Published：2014
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ZHOU Yongzhi. [J]. Automation of electric power systems, 2014, 38(9): 204-210.
DOI：

ZHOU Yongzhi. [J]. Automation of electric power systems, 2014, 38(9): 204-210. DOI：

摘要

新能源发电与微网技术的发展，为远离主电网的海岛等偏远地区提供了经济、环保的电能。大电网区域互联运行，可以有效地提高电网安全水平和供电可靠性。鉴于此，文中提出了离网型邻近海岛多微网联合运行的方案，在发电预测与负荷预测的基础上，基于可靠性与经济性指标建立了多微网运行的不确定性优化调度模型，并通过结合蒙特卡洛模拟的粒子群优化（MCS-PSO）算法求解。为提高调度计划的精度，采用了滚动更新的动态优化调度，算例验证了所提出调度策略的有效性和合理性。

Abstract

The development in the technologies of new energy generation and microgrid operation has made economical and environment-friendly electric power available to users far away from the main grid.Inspired by the interconnection of main grids able to effectively improve system security and supply reliability，an operation strategy of interconnected microgrids from multiple islands is proposed.Based on the predicted generation and load，a stochastic dispatch model of microgrids from multiple islands is developed to optimize the security and economy of the interconnected system.The model is solved by the Monte Carlo simulation based particle swarm optimization（MCS-PSO）method.In order to improve the dispatching accuracy，optimization is performed periodically for dynamic updated data.The case studies of interconnected microgrids from three islands have verified the effectiveness and rationality of the dispatching strategy proposed.

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