| 考虑源荷侧灵活性资源的风光消纳互动调控 |
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| 引用本文： | 潘超,王锦鹏,包钰婷,范宫博,孟涛.考虑源荷侧灵活性资源的风光消纳互动调控[J].陕西电力,2023,0(1):1-8. |
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| 作者姓名： | 潘超 王锦鹏 包钰婷 范宫博 孟涛 |
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| 作者单位： | （1.现代电力系统仿真控制与绿色电能新技术教育部重点实验室（东北电力大学），吉林132012；2.国网吉林省电力科学研究院，吉林长春130021） |
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| 摘 要： | 针对大规模新能源并网导致电网调控的灵活性不足问题，考虑电网灵活性供需平衡，提出灵活性资源（FR）参与风光消纳的互动调控方法，建立规划—运行双层模型对风光消纳进行调控优化。规划层考虑FR改造成本与电压稳定性初步分配新能源安装位置与灵活性资源改造容量，运行层综合经济成本、灵活性缺失度及峰谷差值等指标协同调控源荷资源，通过混合种群迁徙算法进行多目标优化，筛选求解后的多样性方案反馈规划层，得到最优调控结果。最后，结合东北某实际电网进行仿真分析，结果表明合理配置多元化FR能改善电网的风光消纳能力及其调控灵活性，验证了所提方法的合理性和有效性。
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| 关 键 词： | 灵活性资源 需求侧响应 电网灵活性 双层优化 |
Interactive Control of Wind and Photovoltaic Power Consumption Considering Source-load Side Flexible Resources |
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| PAN Chao,WANG Jinpeng,BAO Yuting,FAN Gongbo,MENG Tao.Interactive Control of Wind and Photovoltaic Power Consumption Considering Source-load Side Flexible Resources[J].Shanxi Electric Power,2023,0(1):1-8. |
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| Authors: | PAN Chao WANG Jinpeng BAO Yuting FAN Gongbo MENG Tao |
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| Affiliation: | （1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology of Ministry of Education， Northeast Electric Power University，Jilin 132012， China； 2. State Grid Jilin Electric Power Research Institute， Changchun 130021， China） |
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| Abstract: | Targeting the problem of insufficient flexibility of power grid regulation caused by large-scale renewable energy integration， considering flexibility supply-demand balance in power systems， this paper proposes an interactive control method considering the flexible resources（FR）participating in wind and photovoltaic power consumption， and establishes a two-layer planning-operation model to regulate and optimize the consumption. The planning layer considers FR renovation cost and voltage stability to initially allocate the installation position of renewable energy and the reconstruction capacity of the flexible resources. The operating layer coordinates the control of source-load resources by integrating the economic cost， flexibility loss degree and peak-to-valley difference. The multi-objective optimization is carried out using the mixed population migration algorithm， and the solving diversity schemes are selected， giving the planning layer feedback to obtain the optimal control results. Finally， the simulation analysis of an actual power grid in northeast China shows that the reasonable allocation of diversified FR can improve the integration capacity of the wind and photovoltaic power in the power systems and its regulatory flexibility， thus verifying the rationality and effectiveness of the proposed method. |
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| Keywords: | flexible resources demand response power grid flexibility bi-level optimization |
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