| 计及需求侧管理的新能源微电网多目标优化调度方法 |
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| 引用本文： | 王书峰,钟明,许贤泽,包小千.计及需求侧管理的新能源微电网多目标优化调度方法[J].陕西电力,2022,0(12):55-62,69. |
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| 作者姓名： | 王书峰 钟明 许贤泽 包小千 |
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| 作者单位： | （1.国网保定供电分公司，河北保定 071000；2.武汉大学电子信息学院，湖北武汉 430072） |
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| 摘 要： | 提出了一种考虑需求侧管理的新能源微电网多目标优化调度方法。首先，为了改善用电结构，计及微电网的新能源消纳、用户购电成本和负荷的平稳性，建立了基于微电网中可控设备负荷转移的需求侧管理多目标优化模型；然后以微电网的经济性和环保性为优化目标，建立了包含风力和光伏发电的并网型微电网多目标优化调度模型；最后采用改进的多目标粒子群优化算法求解模型。算例结果表明，所提方法在提高新能源消纳、降低用户的购电成本并实现负荷削峰填谷的同时，能进一步降低经济和环境成本。
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| 关 键 词： | 微电网 需求侧管理 多目标优化 粒子群算法 |
Multi-objective Optimal Scheduling Method for Renewable Energy Microgrid Considering Demand Side Management |
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| WANG Shufeng,ZHONG Ming,XU Xianze,BAO Xiaoqian.Multi-objective Optimal Scheduling Method for Renewable Energy Microgrid Considering Demand Side Management[J].Shanxi Electric Power,2022,0(12):55-62,69. |
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| Authors: | WANG Shufeng ZHONG Ming XU Xianze BAO Xiaoqian |
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| Affiliation: | （1. State Grid Hebei Baoding Power Supply Company，Baoding 071000，China；2. School of Electronic Information，Wuhan University，Wuhan 430072，China） |
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| Abstract: | The paper proposes a multi-objective optimization dispatching method for nenewable energy microgrid considering demand-side management. Firstly， a demand-side management multi-objective optimization model based on the load shifting of controllable devices in the microgrid is established， in order to improve the electricity consumption structure and take into account the nenewable energy consumption， power purchase cost and load smoothing of the microgrid. Then the economic and environmental protection of the microgrid is used as the optimization objectives， and a multi-objective optimization dispatching model of grid-connected microgrid including wind power and photovoltaic power generation is established. Finally， an improved multi-objective particle swarm optimization algorithm is used to solve the model. The results show that the proposed method can further reduce the economic and environmental costs while improving the nenewable energy consumption， reducing the cost of electricity purchase for customers， and achieving peak and valley reduction. |
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| Keywords: | microgrid demand side management multi-objective optimization particle swarm optimization |
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