scholarly journals A Multi-Stage Optimization Approach for Active Distribution Network Scheduling Considering Coordinated Electrical Vehicle Charging Strategy

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 50117-50130 ◽  
Author(s):  
Xiaojun Zhu ◽  
Haiteng Han ◽  
Shan Gao ◽  
Qingxin Shi ◽  
Hantao Cui ◽  
...  
Keyword(s):  
Distribution Network ◽  
Optimization Approach ◽  
Network Scheduling ◽  
Active Distribution Network ◽  
Multi Stage ◽  
Electrical Vehicle ◽  
Vehicle Charging ◽  
Charging Strategy

scholarly journals Hierarchical Scheduling Scheme for AC/DC Hybrid Active Distribution Network Based on Multi-Stakeholders

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2830 ◽  
Author(s):  
Chang Ye ◽  
Shihong Miao ◽  
Yaowang Li ◽  
Chao Li ◽  
Lixing Li
Keyword(s):  
Optimization Model ◽  
Distribution Network ◽  
Hierarchical Optimization ◽  
Active Distribution Network ◽  
Scheduling Scheme ◽  
Multi Stage ◽  
Flexible Loads ◽  
Level Model ◽  
Load Regulation ◽  
Upper Level

This paper presents a hierarchical multi-stage scheduling scheme for the AC/DC hybrid active distribution network (ADN). The load regulation center (LRC) is considered in the developed scheduling strategy, as well as the AC and DC sub-network operators. They are taken to be different stakeholders. To coordinate the interests of all stakeholders, a two-level optimization model is established. The flexible loads are dispatched by LRC in the upper-level optimization model, the objective of which is minimizing the loss of the entire distribution network. The lower-level optimization is divided into two sub-optimal models, and they are carried out to minimize the operating costs of the AC/DC sub-network operators respectively. This two-level model avoids the difficulty of solving multi-objective optimization and can clarify the role of various stakeholders in the system scheduling. To solve the model effectively, a discrete wind-driven optimization (DWDO) algorithm is proposed. Then, considering the combination of the proposed DWDO algorithm and the YALMIP toolbox, a hierarchical optimization algorithm (HOA) is developed. The HOA can obtain the overall optimization result of the system through the iterative optimization of the upper and lower levels. Finally, the simulation results verify the effectiveness of the proposed scheduling scheme.

scholarly journals Optimal Placement of Electric Vehicle Charging Stations in the Active Distribution Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 68124-68134 ◽  
Author(s):  
Muhammad Zulqarnain Zeb ◽  
Kashif Imran ◽  
Abraiz Khattak ◽  
Abdul Kashif Janjua ◽  
Anamitra Pal ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Distribution Network ◽  
Optimal Placement ◽  
Active Distribution Network ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Charging Stations

Multi-Stage Optimal Placement of Branch PMU in Active Distribution Network

2018 ◽  
Vol 19 (4) ◽  
Author(s):  
Wang Shu ◽  
Kong Xiangrui ◽  
Yan Zheng ◽  
Xu Xiaoyuan ◽  
Wang Han
Keyword(s):  
Control Strategies ◽  
Probability Distributions ◽  
Distribution Network ◽  
Load Flow ◽  
Optimal Placement ◽  
Measurement Unit ◽  
Monitoring And Control ◽  
Measuring Device ◽  
Active Distribution Network ◽  
Multi Stage

Abstract The penetration of distributed generation and electric vehicles requires advanced monitoring and control strategies to maintain the reliable operation of active distribution network (ADN). Phasor measurement unit (PMU), as an advanced measuring device, has been applied in the operation of transmission systems for decades. Recently, it is anticipated that PMUs can be adopted in the distribution network. In this paper, the optimal branch PMU (BPMU) placement is studied. First, an optimization model for the multi-stage BPMU placement is established considering the observability of ADN. Moreover, the weights of buses are designed to consider the influence of uncertain renewable energy generation and loads. Then, probabilistic load flow (PLF) is used to solve power flow with uncertainties, and weights of buses are obtained based on probability distributions of voltage magnitude. Finally, binary integer programming (BIP) is adopted to obtain the locations of BPMUs. The proposed method is tested on customized IEEE 33-bus and PG&E 69-bus distribution network, and the results are compared with those considering other methods.

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