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学者姓名：刘丽军
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Abstract ：
With the massive participation of new energy in the operation of distribution network (DN), the uncertainties arising from both load and renewable generation have brought challenges to its secure and reliable operation. In this paper, a model of day-ahead and intraday optimal scheduling based on dynamic partitioning (DP) of DN is constructed to realize the refinement of operation in both temporal and spatial dimensions, as well as to improve the reliability of system operation. For the strong fluctuation characteristics of the source-load in DN, the DP is achieved under the premise that the partition structure in each period is tight and the internal power supply has the ability to balance the power fluctuations. In order to improve the regional autonomy of DN, a day-ahead multi-objective optimal scheduling model is constructed based on the DP with the optimization objectives of weak inter-partition power coupling, lowest deficiency rate of flexibility, and lowest operating cost. And a scheme for articulation is proposed to ensure the effective guidance of day-ahead for intraday. Then the intraday dispatch model is constructed by shifting the focus to the incorporate characteristics of DP and quickly smooth the net load fluctuations. Finally, the performance and reliability of the proposed models are verified via case studies. © 2024 The Author(s)
Keyword ：
Dynamic partitioning Dynamic partitioning Prediction accuracy Prediction accuracy Two-time-scale Two-time-scale Uncertainty Uncertainty
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| GB/T 7714 | Liu, L. , Hu, X. , Chen, C. et al. Research on day-ahead and intraday scheduling strategy of distribution network based on dynamic partitioning [J]. | International Journal of Electrical Power and Energy Systems , 2024 , 160 . |
| MLA | Liu, L. et al. "Research on day-ahead and intraday scheduling strategy of distribution network based on dynamic partitioning" . | International Journal of Electrical Power and Energy Systems 160 (2024) . |
| APA | Liu, L. , Hu, X. , Chen, C. , Wu, R. , Wu, T. , Huang, H. . Research on day-ahead and intraday scheduling strategy of distribution network based on dynamic partitioning . | International Journal of Electrical Power and Energy Systems , 2024 , 160 . |
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针对目前配网侧储能商运营模式单一、盈利方法模糊以及利用率低等问题，提出一种兼具电能自营和储能共享的储能商运营模式。首先，建立考虑共享储能的配电网多主体协同调度模型，该模型兼顾配电网、负荷聚合商和储能商的利益诉求，同时有效降低配电网净负荷峰谷差，缓解主网调峰压力。然后，模型实施两阶段优化，第1阶段为储能租赁容量优化，即配电网按需租赁储能进行削峰填谷，使租赁成本和净负荷方差最小；第2阶段为多主体协同优化，即储能商根据分时电价利用剩余容量“低储高放”套利，与负荷聚合商共同响应调峰，使配电网成本最低、负荷聚合商收益最大以及储能商套利最多，实现各主体互利共赢。最后，通过算例分析验证该文所提方法的有效性。
Keyword ：
两阶段 两阶段 储能套利 储能套利 共享储能 共享储能 协同优化 协同优化 多主体 多主体
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| GB/T 7714 | 张林垚 , 吴桂联 , 廖锦霖 et al. 考虑共享储能的配电网多主体协同调度策略 [J]. | 电力科学与技术学报 , 2024 , 39 (02) : 44-52 . |
| MLA | 张林垚 et al. "考虑共享储能的配电网多主体协同调度策略" . | 电力科学与技术学报 39 . 02 (2024) : 44-52 . |
| APA | 张林垚 , 吴桂联 , 廖锦霖 , 胡鑫 , 刘丽军 . 考虑共享储能的配电网多主体协同调度策略 . | 电力科学与技术学报 , 2024 , 39 (02) , 44-52 . |
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Aiming at the problem that large-scale new energy and energy storage access to the distribution network leads to the difficulty of carbon emission traceability and the overburden of communication, a regional distributed control method of the distribution network considering carbon emission sharing is proposed. First, based on the topology and node information of the distribution network, the spectral clustering method is used to divide the distribution network into clusters. Then, the influence of new energy sources and energy storage components on the distribution of carbon flow is quantified, and the carbon flow calculation method applicable to the new type power system is proposed to solve the traceability problem of the spatial and temporal transfer of carbon emission due to the operation of energy storage. The dynamic carbon emission factor reflecting the regional carbon emission of electric power is proposed by combining with the concept of carbon potential. Finally, based on the boundary coupling relationship, the distribution network current and carbon flow are decoupled, and the consistent alternating direction multiplier method is utilized to solve the distributed scheduling model of the distribution network in parallel. The simulation results show that the proposed method can achieve accurate traceability of regional carbon emissions and reasonable sharing of carbon emission responsibility while protecting the data privacy of each region and reducing communication pressure. ©2024 Chin.Soc.for Elec.Eng.
Keyword ：
alternating direction method of multipliers alternating direction method of multipliers carbon emission flow carbon emission flow carbon liability sharing carbon liability sharing distribution grids distribution grids regionally distributed regionally distributed
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| GB/T 7714 | Liu, L. , Hu, X. , Lin, K. et al. Distributed Low Carbon Dispatch for Distribution Networks With Carbon Emission Sharing; [计及碳排放分摊的配电网分布式低碳调度策略] [J]. | Proceedings of the Chinese Society of Electrical Engineering , 2024 , 44 (24) : 9594-9606 . |
| MLA | Liu, L. et al. "Distributed Low Carbon Dispatch for Distribution Networks With Carbon Emission Sharing; [计及碳排放分摊的配电网分布式低碳调度策略]" . | Proceedings of the Chinese Society of Electrical Engineering 44 . 24 (2024) : 9594-9606 . |
| APA | Liu, L. , Hu, X. , Lin, K. , Chen, Z. , Chen, F. . Distributed Low Carbon Dispatch for Distribution Networks With Carbon Emission Sharing; [计及碳排放分摊的配电网分布式低碳调度策略] . | Proceedings of the Chinese Society of Electrical Engineering , 2024 , 44 (24) , 9594-9606 . |
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Abstract ：
With the massive participation of new energy in the operation of distribution network (DN), the uncertainties arising from both load and renewable generation have brought challenges to its secure and reliable operation. In this paper, a model of day-ahead and intraday optimal scheduling based on dynamic partitioning (DP) of DN is constructed to realize the refinement of operation in both temporal and spatial dimensions, as well as to improve the reliability of system operation. For the strong fluctuation characteristics of the source-load in DN, the DP is achieved under the premise that the partition structure in each period is tight and the internal power supply has the ability to balance the power fluctuations. In order to improve the regional autonomy of DN, a day-ahead multi-objective optimal scheduling model is constructed based on the DP with the optimization objectives of weak inter-partition power coupling, lowest deficiency rate of flexibility, and lowest operating cost. And a scheme for articulation is proposed to ensure the effective guidance of day-ahead for intraday. Then the intraday dispatch model is constructed by shifting the focus to the incorporate characteristics of DP and quickly smooth the net load fluctuations. Finally, the performance and reliability of the proposed models are verified via case studies.
Keyword ：
Dynamic partitioning Dynamic partitioning Prediction accuracy Prediction accuracy Two-time-scale Two-time-scale Uncertainty Uncertainty
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| GB/T 7714 | Liu, Lijun , Hu, Xin , Chen, Chang et al. Research on day-ahead and intraday scheduling strategy of distribution network based on dynamic partitioning [J]. | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS , 2024 , 160 . |
| MLA | Liu, Lijun et al. "Research on day-ahead and intraday scheduling strategy of distribution network based on dynamic partitioning" . | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 160 (2024) . |
| APA | Liu, Lijun , Hu, Xin , Chen, Chang , Wu, Ruixing , Wu, Tong , Huang, Huiyu . Research on day-ahead and intraday scheduling strategy of distribution network based on dynamic partitioning . | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS , 2024 , 160 . |
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建设清洁高效的新型农村能源系统对全面推进乡村振兴战略具有重要意义。构建一种含混氢—碳捕集耦合的农村综合能源系统运行模式，并提出考虑参数自适应的阶梯碳交易与阶梯激励型需求响应的低碳经济调度策略。首先，建立掺氢改造后燃气机组的精细化模型，并融合两阶段电转气、碳捕集技术，形成混氢—碳捕集耦合运行模式；其次，引入阶梯激励型需求响应，推进用户用能方式转变，缓解系统负荷高峰期供能压力；最后，引入阶梯碳交易机制并以系统运行成本最小为目标构造运行层优化模型，并采用CPLEX进行求解，同时计算碳排放总量，以碳排放量最小作为碳交易机制参数层优化目标，并通过粒子群算法寻优，确定最优碳交易机制参数与运行策略。通过设置不同情景进行对比，验证所提调度策略可有效降低系统碳排放并实现经济运行。
Keyword ：
两阶段P2G 两阶段P2G 农村综合能源系统 农村综合能源系统 掺氢 掺氢 阶梯碳交易 阶梯碳交易 需求响应 需求响应
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| GB/T 7714 | 张林垚 , 吴桂联 , 倪识远 et al. 考虑参数自适应阶梯碳交易的含混氢——碳捕集耦合的农村综合能源系统优化调度 [J]. | 电力科学与技术学报 , 2024 , 39 (03) : 228-241 . |
| MLA | 张林垚 et al. "考虑参数自适应阶梯碳交易的含混氢——碳捕集耦合的农村综合能源系统优化调度" . | 电力科学与技术学报 39 . 03 (2024) : 228-241 . |
| APA | 张林垚 , 吴桂联 , 倪识远 , 林锟 , 刘丽军 . 考虑参数自适应阶梯碳交易的含混氢——碳捕集耦合的农村综合能源系统优化调度 . | 电力科学与技术学报 , 2024 , 39 (03) , 228-241 . |
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The source and load uncertainties arising from increased applications of renewable energy sources such as wind and photovoltaic energy in the power system have had adverse effects on optimal planning and dispatching. Models for generating typical renewable energy and load scenarios are constructed to reduce such effects and improve the applicability of a planning and optimal dispatching model of power systems with a high proportion of renewable energy. The traditional clustering-based model for representing such scenarios cannot handle high-dimensional time-series data and consequently the feature-related information obtained cannot fully reflect the characteristics of the data. Thus, a deep convolutional embedded clustering model based on multi-head self-attention is proposed. First, a variational mode decomposition model is optimized to reduce the influence of noise-related signals on the feature extraction. The deep features are then extracted from the data using an improved convolutional autoencoder, and the appropriate number of clusters is determined using the elbow method. Following this, the network parameters are optimized based on the sum of losses during reconstruction and clustering. Subsequently, typical scenarios are then generated based on the optimized network model. Finally, the proposed method is evaluated based on data visualization and evaluation metrics. It is shown that the quality of features and the accuracy of clustering can be effectively improved by the proposed scenario generation method.
Keyword ：
Deep embedding for clustering Deep embedding for clustering extracting features of time-series data extracting features of time-series data multi-head self-attention mechanism multi-head self-attention mechanism scenario generation scenario generation uncertainty uncertainty
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| GB/T 7714 | Liu, Lijun , Hu, Xin , Chen, Junsheng et al. Embedded Scenario Clustering for Wind and Photovoltaic Power, and Load Based on Multi-head Self-attention [J]. | PROTECTION AND CONTROL OF MODERN POWER SYSTEMS , 2024 , 9 (1) : 122-132 . |
| MLA | Liu, Lijun et al. "Embedded Scenario Clustering for Wind and Photovoltaic Power, and Load Based on Multi-head Self-attention" . | PROTECTION AND CONTROL OF MODERN POWER SYSTEMS 9 . 1 (2024) : 122-132 . |
| APA | Liu, Lijun , Hu, Xin , Chen, Junsheng , Wu, Ruixing , Chen, Feixiong . Embedded Scenario Clustering for Wind and Photovoltaic Power, and Load Based on Multi-head Self-attention . | PROTECTION AND CONTROL OF MODERN POWER SYSTEMS , 2024 , 9 (1) , 122-132 . |
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As renewable energy penetration increases, flexibility will become the core and key of the operating characteristics. The proposal of the 'double carbon' target also makes the low-carbon transition an important goal for the future development. This paper firstly introduces a diversionary carbon capture plant and a liquid storage tank to establish a flexible carbon capture system. Secondly, a low-carbon economic dispatch model is established by combining the price-based demand response mechanism and taking into account the flexibility supply-demand balance. Finally, this dispatch method is verified to be able to take into account the flexibility in power systems, improve operation economy, and promote the system's transition to low carbon by referring to a case study in an eastern region of China. © 2024 IEEE.
Keyword ：
Carbon capture Carbon capture Electric load dispatching Electric load dispatching
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| GB/T 7714 | Huang, Weidong , Jiang, Yiqing , Lin, Junxuan et al. A Low-carbon Economic Dispatch Methodology that Considers Flexibility Supply-demand Balance and Carbon Capture [C] . 2024 : 134-139 . |
| MLA | Huang, Weidong et al. "A Low-carbon Economic Dispatch Methodology that Considers Flexibility Supply-demand Balance and Carbon Capture" . (2024) : 134-139 . |
| APA | Huang, Weidong , Jiang, Yiqing , Lin, Junxuan , Huang, Junqiang , Wang, Yuqiang , Liu, Lijun . A Low-carbon Economic Dispatch Methodology that Considers Flexibility Supply-demand Balance and Carbon Capture . (2024) : 134-139 . |
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In order to achieve the secure and economical dispatch of high-proportion renewable energy distribution systems, an interval optimization dispatching method that takes into account the uncertainty of wind, PV power and load demand prediction errors and the flexibility of the network is proposed. To avoid the information loss in traditional methods, the conservatism of traditional interval-based methods, and the aggressiveness of interval truncation methods, the paper describes the interval boundaries of uncertainty factors based on the probability box theory and conditional value-at-risk methods. Subsequently, the time coupling constraint of the dispatching plan is established based on the real-time adjustment capability of the flexibility resources, and the line transmission flexibility cross-limit constraint is established to improve the adaptability of the proposed method. The goal of the optimization is to minimize the total operating cost, and the genetic algorithm is used for solving. The examples based on the IEEE 33-bus test system, the actual distribution network of a region and the PG&E 69 node network are analyzed, and the results demonstrate that the proposed model ensures distribution lines to meet transmission capacity constraints while achieving optimal system operating costs. © 2024 Science Press. All rights reserved.
Keyword ：
Distributed power generation Distributed power generation Electric load dispatching Electric load dispatching Electric power transmission Electric power transmission Electric power transmission networks Electric power transmission networks Genetic algorithms Genetic algorithms Operating costs Operating costs Probability distributions Probability distributions Value engineering Value engineering
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| GB/T 7714 | Xu, Hanwei , Liu, Lijun , Huang, Huiyu et al. Interval Optimization Dispatching Method Considering Flexibility of the Distribution Net-work Based on P-Box and CVaR [J]. | High Voltage Engineering , 2024 , 50 (4) : 1478-1487 . |
| MLA | Xu, Hanwei et al. "Interval Optimization Dispatching Method Considering Flexibility of the Distribution Net-work Based on P-Box and CVaR" . | High Voltage Engineering 50 . 4 (2024) : 1478-1487 . |
| APA | Xu, Hanwei , Liu, Lijun , Huang, Huiyu , Xie, Feng , Zhang, Linyao , Chen, Feixiong . Interval Optimization Dispatching Method Considering Flexibility of the Distribution Net-work Based on P-Box and CVaR . | High Voltage Engineering , 2024 , 50 (4) , 1478-1487 . |
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In order to eliminate the negative impacts of disorderly charging of large-scale electric vehicles (EVs) on the operational stability of transportation road networks, charging stations, and distribution networks, we propose an orderly charging strategy for EVs based on 'vehicle-road-station-network' (VRSN) information coupling system. Firstly, a VRSN system and a dynamic floyd shortest time path search model are constructed to find the shortest time-consuming path for EV users. Secondly, based on the real-time state of VRSN, we predict the charging decision factors for EV users to choose different paths to each charging station for fast charging, synthesize the subjective and objective weights of the charging decision factors for EV users through hierarchical analysis and the improved CRITIC method, and decide the optimal charging paths for EV users by using Topsis method. Finally, the slow charging optimization strategy for EV users is proposed to optimize the slow charging load of EV users after their return trips, and the EV slow charging and fast charging loads are combined to further realize peak shaving and valley filling of the distribution network load. Simulation results show that the proposed EV orderly charging strategy can simultaneously improve the operation level of VRSN system. © 2024 Science Press. All rights reserved.
Keyword ：
Charging (batteries) Charging (batteries) Electric loads Electric loads Electric vehicles Electric vehicles Motor transportation Motor transportation Roads and streets Roads and streets Search engines Search engines
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| GB/T 7714 | Liu, Lijun , Chen, Chang , Hu, Xin et al. Ordered Charging Strategy for Electric Vehicles Based on the Information Coupling of Vehicle-Road-Station-Grid [J]. | High Voltage Engineering , 2024 , 50 (2) : 693-703 . |
| MLA | Liu, Lijun et al. "Ordered Charging Strategy for Electric Vehicles Based on the Information Coupling of Vehicle-Road-Station-Grid" . | High Voltage Engineering 50 . 2 (2024) : 693-703 . |
| APA | Liu, Lijun , Chen, Chang , Hu, Xin , Lin, Yufang . Ordered Charging Strategy for Electric Vehicles Based on the Information Coupling of Vehicle-Road-Station-Grid . | High Voltage Engineering , 2024 , 50 (2) , 693-703 . |
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为实现高比例可再生能源配电系统的安全经济调度，提出了一种计及风电、光伏出力与负荷预测误差的不确定性和配电网灵活性调用能力的日前区间优化调度方法。为避免传统方法在描述不确定性时的信息丢失问题、传统区间方法的保守性以及区间截断方法的冒进性，该文基于概率盒理论与条件风险价值方法计算不确定性因素的区间边界。随后，基于灵活性资源的实时调整能力，建立调度计划的灵活性时段耦合约束，并建立线路传输灵活性越限约束，以提高所提方法在调度过程的适应性。以配电网综合运行成本最小为优化目标，采用遗传算法进行求解。最后，基于IEEE-33节点配电系统、某地区实际配电网以及美国PG&E 69节点的算例分析表明，所提出的区间提取方法及调度模型能在保证配电网满足传输容量约束的同时达到系统运行成本最优。
Keyword ：
分布式发电 分布式发电 日前调度 日前调度 条件风险价值 条件风险价值 概率盒 概率盒 配网灵活性 配网灵活性
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| GB/T 7714 | 徐韩伟 , 刘丽军 , 黄惠钰 et al. 基于P-Box和CVaR并考虑灵活性的配电网区间优化方法 [J]. | 高电压技术 , 2024 , 50 (04) : 1478-1487 . |
| MLA | 徐韩伟 et al. "基于P-Box和CVaR并考虑灵活性的配电网区间优化方法" . | 高电压技术 50 . 04 (2024) : 1478-1487 . |
| APA | 徐韩伟 , 刘丽军 , 黄惠钰 , 谢锋 , 张林垚 , 陈飞雄 . 基于P-Box和CVaR并考虑灵活性的配电网区间优化方法 . | 高电压技术 , 2024 , 50 (04) , 1478-1487 . |
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