| 引用本文: | 张 丽,贾晨豪,马泽原,等.一种新型的微电网三层优化调度模型研究[J].电力系统保护与控制,2025,53(20):46-57.[点击复制] |
| ZHANG Li,JIA Chenhao,MA Zeyuan,et al.A novel three-layer optimal dispatch model for microgrids[J].Power System Protection and Control,2025,53(20):46-57[点击复制] |
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| 摘要: |
| 为了解决间歇性能源的不确定性问题，提高微电网的经济性和运行效率，基于模型预测控制思想提出了一种新型的三层耦合微电网调度模型，并用改进的蜣螂算法对模型进行优化和求解。首先，通过综合考虑分时电价和污染治理成本，优化并降低日前不确定因素的影响，在线修正最优控制量，从而构建一种新型的三层调度模型。其次，对传统蜣螂算法的种群初始化、滚动行为、觅食行为等改进后，通过仿真验证了算法的可行性，结果表明改进后的算法在精确度和收敛速度方面均有所提升。然后，采用改进的蜣螂算法优化调度层的经济性，求解滚动控制中的最优控制。最后，通过经济性对比、滚动调度分析和控制效果对比实验，证明了所提模型及算法能够改善微电网的环保经济性，提高系统的可控性和稳定性。 |
| 关键词: 微电网 分层调度模型 优化经济调度 模型预测控制 改进蜣螂算法 |
| DOI：10.19783/j.cnki.pspc.241766 |
| 投稿时间：2024-12-31修订日期：2025-04-19 |
| 基金项目:国家自然科学基金项目资助(52177039)；河南省科技攻关项目资助(242102241027；242102210185)；河南省高等学校重点科研项目资助(24A470006) |
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| A novel three-layer optimal dispatch model for microgrids |
| ZHANG Li1，2,JIA Chenhao1,MA Zeyuan1,ZHANG Tao1,3,ZHANG Hongwei4 |
| (1. School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, China; 2. Henan Key
Laboratory of Intelligent Detection and Control of Coal Mine Equipment, Jiaozuo 454003, China; 3. Henan International
Joint Laboratory of Direct Drive and Control of Intelligent Equipment, Jiaozuo 454003, China;
4. Linfen Power Supply Company, Shanxi Electric Power Company, Linfen 041000, China) |
| Abstract: |
| To address the uncertainty of intermittent energy sources and improve the economic efficiency and operation performance of microgrids, a novel three-layer coupled microgrid dispatch model is proposed based on model predictive control. The model is optimized and solved using an improved dung beetle algorithm. First, by comprehensively considering time-sharing tariffs and pollution control costs, the model mitigates the impact of day-ahead uncertainties and performs online correction of the optimal control variables, thereby forming a new three-layer scheduling structure. Second, improvements are made to the traditional dung beetle algorithm in aspects such as population initialization, rolling behavior, and foraging behavior. The feasibility of the algorithm is verified by simulation, showing improved accuracy and convergence speed. Subsequently, the improved dung beetle algorithm is used to optimize the economic performance of the scheduling layer and determine the optimal control actions in rolling control. Finally, comparative analyses in terms of economic performance, rolling scheduling, and control effect demonstrate that the proposed model and algorithm can effectively enhance the environmental and economic performance of microgrids while improving system controllability and stability. |
| Key words: microgrids hierarchical dispatch model optimizing economic dispatch model predictive control improved dung beetle optimization algorithm |
