| 引用本文: | 成 龙,李国庆,王 翀,等.考虑预测误差不确定性和功率互济的配电网直流合环重构[J].电力系统保护与控制,2024,52(24):97-108.[点击复制] |
| CHENG Long,LI Guoqing,WANG Chong,et al.DC loop-closed reconfiguration for distribution networks considering prediction error uncertainty and power complementarity[J].Power System Protection and Control,2024,52(24):97-108[点击复制] |
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| 摘要: |
| 为了准确量化光伏功率波动，缓解分布式光伏接入配电网引起的电压越限风险，提出考虑预测误差不确定性和功率互济的配电网直流合环重构方法。引入概率潮流思想，分别建立基于高斯混合模型(Gaussian mixture model, GMM)的光伏功率预测误差以及由此引起的配电网节点电压偏差的概率分布模型。定义电压越限高风险节点，进而根据节点电压偏差的条件概率分布分析任意两节点合环重构的可行性。并通过计算合环节点间的待平衡功率，量化其作用于缓解电压越限的功率支援能力。在此基础上，提出以合环可行性和功率支援能力为主要约束，以最小化综合投资成本、运行损耗和节点电压偏差为优化目标的配电网直流合环重构模型。通过基于Matlab 2020a平台的IEEE 33节点测试算例验证了所提方法的有效性和优越性。 |
| 关键词: 配电网直流合环 分布式光伏 预测误差不确定性 高斯混合模型 功率互济 二阶锥凸优化 |
| DOI：10.19783/j.cnki.pspc.240218 |
| 投稿时间：2024-02-27修订日期：2024-07-05 |
| 基金项目:国家自然科学基金委员会-国家电网公司智能电网联合基金项目资助(U2066208) |
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| DC loop-closed reconfiguration for distribution networks considering prediction error uncertainty and power complementarity |
| CHENG Long1,LI Guoqing1,WANG Chong1,WANG Zhenhao1,MA Hongbo2 |
| (1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of
Education (Northeast Electric Power University), Jilin 132012, China; 2. Construction Branch,
State Grid Jilin Electric Power Company Limited, Changchun 130021, China) |
| Abstract: |
| To accurately quantify the fluctuation of photovoltaic power and alleviate the risk of voltage exceeding limits caused by distributed photovoltaic integration into distribution networks, a DC loop-closed reconfiguration method for distribution networks considering the uncertainty of prediction error and power complementarity is proposed. By introducing the concept of probability power flow, Gaussian mixture model (GMM)-based probability distribution models for photovoltaic power prediction errors and resultant voltage deviation of buses in distribution networks are established. Then the high-risk buses with voltage exceeding the limit are defined, and the feasibility of any two buses’ loop-closed reconfiguration is analyzed according to the conditional probability distribution of the buses’ voltage deviation. By calculating the power to be balanced between the loop-closed buses, the power support capability to alleviate voltage exceeding limits is quantified. Thus a DC loop-closed reconfiguration model for distribution networks is proposed with the feasibility of loop-closed and power support capability as the main constraints, and the optimization objective is to minimize comprehensive investment costs, operational losses, and bus voltage deviations. The effectiveness and superiority of the proposed method are verified through IEEE 33-bus test examples on the Matlab 2020a platform. |
| Key words: DC loop-closed distribution network distributed PV uncertainty of prediction error Gaussian mixture model power complementarity second-order cone-convex optimization |
