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Yuntao Ju
The College of Information and Electrical Engineering, China Agricultural University, 34752 Beijing, China, 100083

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Journal article
Published: 19 July 2021 in IEEE Transactions on Power Systems
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The distributed Volt/Var control solution is a promising one for active distribution networks (ADNs), but a critical issue is how to improve the distributed algorithms convergence with less communication burden. In this paper, we propose a bi-level consensus alternation direction multiplier method-based fully distributed Volt/Var optimization algorithm (B-FADMM) for ADNs by exploiting inverter-based rapid control devices. In the first level, the Volt/Var optimal solution of subpartitions is obtained in parallel, and the second level completes the variable increment of each partition to correct the search direction of the first level. In the algorithm, firstly, an adaptive matrix initialization strategy is proposed to adapt to the different magnitude of variables, which avoids non-convergence or slow convergence of the algorithm. Secondly, the null-space method is used in the second level of the algorithm to obtain the null-space basis matrix on the active constraint of the subpartition, which reduces the dimensions of the problem and the computational complexity. In addition, the conjugate gradient (CG) algorithm is used to update the dual multiplier of each partition only by exchanging coupling information among partitions, which protects information privacy.

ACS Style

Yuntao Ju; Zifeng Zhang; Wenchuan Wu; Wenwu Liu; Ruosi Zhang. A Bi-level Consensus ADMM-based Fully Distributed Inverter-based Volt/Var Control Method for Active Distribution Networks. IEEE Transactions on Power Systems 2021, PP, 1 -1.

AMA Style

Yuntao Ju, Zifeng Zhang, Wenchuan Wu, Wenwu Liu, Ruosi Zhang. A Bi-level Consensus ADMM-based Fully Distributed Inverter-based Volt/Var Control Method for Active Distribution Networks. IEEE Transactions on Power Systems. 2021; PP (99):1-1.

Chicago/Turabian Style

Yuntao Ju; Zifeng Zhang; Wenchuan Wu; Wenwu Liu; Ruosi Zhang. 2021. "A Bi-level Consensus ADMM-based Fully Distributed Inverter-based Volt/Var Control Method for Active Distribution Networks." IEEE Transactions on Power Systems PP, no. 99: 1-1.

Review
Published: 01 May 2021 in Information Processing in Agriculture
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The islands and offshore fish farming platforms in the deep sea can form a land-sea networked fishery microgrids to realize the complementary supply of energy. The fishery microgrid contains a high proportion of renewable energy sources such as wind, solar and waves, and mixed AC and DC loads such as feed machine, energy storage, and fishery robot. Due to the harsh operating environment, the possibility of equipment damage increases, and the requirements for system stability are higher. In this paper, firstly, the definition of transient stability of land-sea networked fishery microgrids is given. Then, the key features of the fishery microgrid is introduced, and the influence of the microsource interface type, control strategy, current limiting mechanism and load characteristics on the transient stability is expounded. The definition of power Angle of fishery microgrid and the characterization of instability system are given. Next, the research trends of transient stability are sorted out, evaluated and discussed from two aspects: approaches of transient stability analysis and methods to improve transient stability. Finally, the key issues that need to be solved urgently in the research on the transient stability of the land-sea networked fishery microgrids are summarized, and the relevant research directions are prospected.

ACS Style

Yuntao Ju; Zhen Gao; Zhiyu Li; Xi Chen; Jiubao Zhen. A review on transient stability of land-sea networked fishery microgrids. Information Processing in Agriculture 2021, 1 .

AMA Style

Yuntao Ju, Zhen Gao, Zhiyu Li, Xi Chen, Jiubao Zhen. A review on transient stability of land-sea networked fishery microgrids. Information Processing in Agriculture. 2021; ():1.

Chicago/Turabian Style

Yuntao Ju; Zhen Gao; Zhiyu Li; Xi Chen; Jiubao Zhen. 2021. "A review on transient stability of land-sea networked fishery microgrids." Information Processing in Agriculture , no. : 1.

Journal article
Published: 09 March 2021 in Information Processing in Agriculture
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The locations of marine ranch and its surrounding islands are far away from the mainland, so the cost is too high to keep power supply by laying submarine cables from the mainland. Therefore, it is necessary to build a land-sea relay networked microgrids with high proportion of renewable energy, which is able to provide multi-energy complementary and reliable power for marine ranch and its surrounding islands. It is noteworthy that the networked microgrids is a typical cyber-physical system. In order to deeply reveal the cyber physical fusion characteristics of fishery networked microgrids, the morphology and key techniques of fishery networked microgrids are summarized from two aspects: physical system and cyber system. And the interactions of cyber and physical system are described, including the support from cyber system for the physical system as state perception and control, and the power support from physical system for cyber system. Based on the above interactions, the related research on coupling analysis of cyber-physical system is summarized. Finally, some urgently studied problems have been looked forward to in fishery networked microgrids cyber-physical system.

ACS Style

Xi Chen; Yuntao Ju; Ruosi Zhang. Land-sea relay fishery networked microgrids under the background of cyber-physical fusion: Characteristics and key issues prospect. Information Processing in Agriculture 2021, 1 .

AMA Style

Xi Chen, Yuntao Ju, Ruosi Zhang. Land-sea relay fishery networked microgrids under the background of cyber-physical fusion: Characteristics and key issues prospect. Information Processing in Agriculture. 2021; ():1.

Chicago/Turabian Style

Xi Chen; Yuntao Ju; Ruosi Zhang. 2021. "Land-sea relay fishery networked microgrids under the background of cyber-physical fusion: Characteristics and key issues prospect." Information Processing in Agriculture , no. : 1.

Journal article
Published: 18 May 2020 in IEEE Transactions on Power Systems
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The existing three-phase imbalanced power flow calculation models for isolated micro-grid do not consider the non-smooth constraints such as voltage control limits and dead zone characteristics, which makes the power flow calculation results cannot meet the actual model constraints. In this paper, a more robust projected Levenberg-Marquardt (PLM) method is used to solve the problem after the non-smooth constraints are converted into smooth functions, which can reduce the model dependence on the initial values and solve the convergence problem caused by non-smooth constraints. The numerical experiments of micro-grid show that considering the non-smooth constraints can effectively improve the accuracy of power flow calculation. In addition, the PLM method has better convergence dealing with non-smooth constraints even poor initial value settings.

ACS Style

Yuntao Ju; Jiankai Wang; Zifeng Zhang; Yan Huang; Yi Lin. A Calculation Method for Three-Phase Power Flow in Micro-Grid Based on Smooth Function. IEEE Transactions on Power Systems 2020, 35, 4896 -4903.

AMA Style

Yuntao Ju, Jiankai Wang, Zifeng Zhang, Yan Huang, Yi Lin. A Calculation Method for Three-Phase Power Flow in Micro-Grid Based on Smooth Function. IEEE Transactions on Power Systems. 2020; 35 (6):4896-4903.

Chicago/Turabian Style

Yuntao Ju; Jiankai Wang; Zifeng Zhang; Yan Huang; Yi Lin. 2020. "A Calculation Method for Three-Phase Power Flow in Micro-Grid Based on Smooth Function." IEEE Transactions on Power Systems 35, no. 6: 4896-4903.

Journal article
Published: 19 September 2019 in Applied Sciences
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With the growth in demand for energy and the boom in energy internet (EI) technologies, comes the multi-energy complementary system. In this paper, we first model the components of the micro-energy-grid for a greenhouse, and then analyzed two types of protected agriculture load: time-shifting load and non-time-shifting load. Next, multi-scenario technology is directed against the uncertainty of photovoltaic (PV). Latin Hypercube Sampling (LHS) and the backward reduction algorithm are the two main methods we use to generate the representative scenarios and their probabilities, which are the basis for PV prediction in day-ahead scheduling. Third, besides the time of day (TOD) tariff, we present a model using real-time pricing of consumers’ electricity load, which is proposed to compare consumers’ demand response (DR). Finally, we establish a new optimization model of micro-energy-grid for greenhouses. By calculating the dispatch of electricity, heat, energy storage and time-shifting load under different conditions, the local consumption of PV and the comprehensive operational cost of micro-energy-grid can be analyzed. The results show that a storage device, time-shifting load and real-time pricing can bring more possibilities to the micro-energy-grid. By optimizing the time schedule of time-shifting load, the cost of the greenhouse is reduced.

ACS Style

Yuntao Ju; Mingxin Jin; Jiankai Wang; Jianhua Yang; Mingyu Dong; Dezhi Li; Kun Shi; Haibo Zhang. Research on Optimal Dispatching Strategy for Micro-Energy-Grid of Protected Agriculture. Applied Sciences 2019, 9, 3929 .

AMA Style

Yuntao Ju, Mingxin Jin, Jiankai Wang, Jianhua Yang, Mingyu Dong, Dezhi Li, Kun Shi, Haibo Zhang. Research on Optimal Dispatching Strategy for Micro-Energy-Grid of Protected Agriculture. Applied Sciences. 2019; 9 (18):3929.

Chicago/Turabian Style

Yuntao Ju; Mingxin Jin; Jiankai Wang; Jianhua Yang; Mingyu Dong; Dezhi Li; Kun Shi; Haibo Zhang. 2019. "Research on Optimal Dispatching Strategy for Micro-Energy-Grid of Protected Agriculture." Applied Sciences 9, no. 18: 3929.

Journal article
Published: 10 September 2019 in Energies
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Continuation power flow (CPF) calculation is very important for analyzing voltage stability of power system. CPF calculation needs to deal with non-smooth constraints such as the generator buses reactive power limits. It is still a technical challenge to determine the step size while dealing with above non-smooth constraints in CPF calculation. In this paper, an asymptotic numerical method (ANM) based on Fischer‐Burmeister (FB) function, is proposed to calculate CPF. We first used complementarity constraints to cope with non-smooth issues and introduced the FB function to formulate the complementarity constraints. Meanwhile, we introduced new variables for substitution to meet the quadratic function requirements of ANM. Compared with the conventional predictor-corrector method combining with heuristic PV-PQ (PV and PQ are used to describe bus types. PV means that the active power and voltage of the bus are known. PQ means that the active and reactive power of bus are known.) bus type switching, ANM can effectively solve the PV-PQ bus type switching problem in CPF calculation. Furthermore, to assure high efficiency, ANM can rapidly approach the voltage collapse point by self-adaptive step size adjustment and constant Jacobian matrix used for power series expansion. However, conventional CPF needs proper step set in advance and calculates Jacobian matrix for each iteration. Numerical tests on a nine-bus network and a 182-bus network validate that the proposed method is more robust than existing methods.

ACS Style

Yan Huang; Yuntao Ju; Zeping Zhu. An Asymptotic Numerical Continuation Power Flow to Cope with Non-Smooth Issue. Energies 2019, 12, 3493 .

AMA Style

Yan Huang, Yuntao Ju, Zeping Zhu. An Asymptotic Numerical Continuation Power Flow to Cope with Non-Smooth Issue. Energies. 2019; 12 (18):3493.

Chicago/Turabian Style

Yan Huang; Yuntao Ju; Zeping Zhu. 2019. "An Asymptotic Numerical Continuation Power Flow to Cope with Non-Smooth Issue." Energies 12, no. 18: 3493.

Article
Published: 09 May 2019 in Journal of Modern Power Systems and Clean Energy
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This paper introduces a robust sparse recovery model for compressing bad data and state estimation (SE), based on a revised multi-stage convex relaxation (R-Capped-L1) model. To improve the calculation efficiency, a fast decoupled solution is adopted. The proposed method can be used for three-phase unbalanced distribution networks with both phasor measurement unit and remote terminal unit measurements. The robustness and the computational efficiency of the R-Capped-L1 model with fast decoupled solution are compared with some popular SE methods by numerical tests on several three-phase distribution networks.

ACS Style

Junwei Yang; Wenchuan Wu; Weiye Zheng; Yuntao Ju. A sparse recovery model with fast decoupled solution for distribution state estimation and its performance analysis. Journal of Modern Power Systems and Clean Energy 2019, 7, 1411 -1421.

AMA Style

Junwei Yang, Wenchuan Wu, Weiye Zheng, Yuntao Ju. A sparse recovery model with fast decoupled solution for distribution state estimation and its performance analysis. Journal of Modern Power Systems and Clean Energy. 2019; 7 (6):1411-1421.

Chicago/Turabian Style

Junwei Yang; Wenchuan Wu; Weiye Zheng; Yuntao Ju. 2019. "A sparse recovery model with fast decoupled solution for distribution state estimation and its performance analysis." Journal of Modern Power Systems and Clean Energy 7, no. 6: 1411-1421.

Journal article
Published: 18 April 2019 in Applied Sciences
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As more clean energy sources contribute to the electrical grid, the stress on generation scheduling for peak-shaving increases. This is a concern in several provinces of China that have many nuclear power plants, such as Guangdong and Fujian. Studies on the unit commitment (UC) problem involving the characteristics of both wind and nuclear generation are urgently needed. This paper first describes a model of nuclear power and wind power for the UC problem, and then establishes an objective function for the total cost of nuclear and thermal power units, including the cost of fuel, start-stop and peak-shaving. The operating constraints of multiple generation unit types, the security constraints of the transmission line, and the influence of non-gauss wind power uncertainty on the spinning reserve capacity of the system are considered. Meanwhile, a model of an energy storage system (ESS) is introduced to smooth the wind power uncertainty. Due to the prediction error of wind power, the spinning reserve capacity of the system will be affected by the uncertainty. Over-provisioning of spinning reserve capacity is avoided by introducing chance constraints. This is followed by the design of a UC model applied to different power sources, such as nuclear power, thermal power, uncertain wind power, and ESS. Finally, the feasibility of the UC model in the scheduling of a multi-type generation unit is verified by the modified IEEE RTS 24-bus system accommodating large scale green generation units.

ACS Style

Yuntao Ju; Jiankai Wang; Fuchao Ge; Yi Lin; Mingyu Dong; Dezhi Li; Kun Shi; Haibo Zhang. Unit Commitment Accommodating Large Scale Green Power. Applied Sciences 2019, 9, 1611 .

AMA Style

Yuntao Ju, Jiankai Wang, Fuchao Ge, Yi Lin, Mingyu Dong, Dezhi Li, Kun Shi, Haibo Zhang. Unit Commitment Accommodating Large Scale Green Power. Applied Sciences. 2019; 9 (8):1611.

Chicago/Turabian Style

Yuntao Ju; Jiankai Wang; Fuchao Ge; Yi Lin; Mingyu Dong; Dezhi Li; Kun Shi; Haibo Zhang. 2019. "Unit Commitment Accommodating Large Scale Green Power." Applied Sciences 9, no. 8: 1611.

Conference paper
Published: 01 November 2018 in 2018 International Conference on Power System Technology (POWERCON)
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With the increase in the capacity of nuclear power, wind power and other new energy sources connected to the power grid, the pressure on peak load regulation of power systems in some areas has increased, such as Fujian Province. It is imperative to study the unit combination (UC) problem with multiple power types participation. In this paper, we first establish the total cost objective function including fuel cost, start-stop cost and peak load regulation cost for thermal and nuclear power units. In the constraints, considering the operational constraints of various unit types, the safety constraints of the line network and the impact of uncertainty on the spare capacity of the system. In addition, an energy storage system model has been added. The influence of uncertainty on the spinning capacity of the system is mainly caused by the wind power forecast error. By introducing the chance constraint on spinning reserve, avoiding the over-allocation of the reserve, effectively. Then, a UC model involving multiple power types, like nuclear power, thermal power, wind power, and large-scale energy storage system is established. Finally, the feasibility of the UC model in the power system pre-dispatching is verified in the IEEE RTS 24-bus system.

ACS Style

Fuchao Ge; Yi Lin; Yuntao Ju; Zhinan Qi. Unit commitment considering the characteristics of nuclear and wind power. 2018 International Conference on Power System Technology (POWERCON) 2018, 4765 -4771.

AMA Style

Fuchao Ge, Yi Lin, Yuntao Ju, Zhinan Qi. Unit commitment considering the characteristics of nuclear and wind power. 2018 International Conference on Power System Technology (POWERCON). 2018; ():4765-4771.

Chicago/Turabian Style

Fuchao Ge; Yi Lin; Yuntao Ju; Zhinan Qi. 2018. "Unit commitment considering the characteristics of nuclear and wind power." 2018 International Conference on Power System Technology (POWERCON) , no. : 4765-4771.

Conference paper
Published: 01 October 2018 in 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2)
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The analysis of active distribution networks is the basis of Energy Internet control and management. As the penetration of distributed renewable energy into distribution networks has increased, traditional applications, such as OpenDSS, are not suitable for analyzing networks that contain distributed generators (DGs). For distribution network calculation, three-phase DGs are often modeled in sequence frame, while the three-phase unbalanced distribution networks are usually modeled in phase frames. Hence, this paper represents a novel model that could deal with both frames by load flows in a sequence-phase coupled frame. The steady state analysis model presented in this paper is implemented using an open source language called Modelica. Tests on the IEEE testing systems are carried out and the results demonstrate the advantage of the model.

ACS Style

Yi Lin; Yun-Tao Ju; Z Yong-Hua; Zhi-Nan Qi; Jing Wang. A Novel Sequence-phase Coupled Model for Active Distribution Network based on Modelica. 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) 2018, 1 -5.

AMA Style

Yi Lin, Yun-Tao Ju, Z Yong-Hua, Zhi-Nan Qi, Jing Wang. A Novel Sequence-phase Coupled Model for Active Distribution Network based on Modelica. 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2). 2018; ():1-5.

Chicago/Turabian Style

Yi Lin; Yun-Tao Ju; Z Yong-Hua; Zhi-Nan Qi; Jing Wang. 2018. "A Novel Sequence-phase Coupled Model for Active Distribution Network based on Modelica." 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) , no. : 1-5.

Conference paper
Published: 01 October 2018 in 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2)
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Large-scale distributed generators (DGs) penetrated into the active distribution network (ADN) impact the voltage profile significantly. Autonomous voltage control strateges simulation becomes an crucial issue in the ADN steady state analysis. Conventional Newton-Raphson or fixed point iteration based power flow convergence failure is frequently incurred by heuristic Q-limit adjustment of DGs and voltage band regulation of step voltage regulator (SVR). To cope with these issues, mixed complementarity problem (MCP) is formulated to model the Q-limit issue of voltage controlled DGs and voltage regulation of SVR etc.. To improve the convergence of the proposed method, nonlinear equations are linearized with Newton algorithm and then fast Lemke algorithm are utilized to solve the linear complementarity programming model (LCP). The effectiveness and better performance of the proposed method under operation off-limit of DGs and tap adjustment of SVRs were validated using unbalanced IEEE 4, 34, 123 test feeder and other large practical three-phase network test case.

ACS Style

Yi Lin; Yuntao Ju. A Robust Three-Phase Power Flow for Active Distribution Network Embedded Autonomous Voltage Regulating Strategies. 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) 2018, 1 -8.

AMA Style

Yi Lin, Yuntao Ju. A Robust Three-Phase Power Flow for Active Distribution Network Embedded Autonomous Voltage Regulating Strategies. 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2). 2018; ():1-8.

Chicago/Turabian Style

Yi Lin; Yuntao Ju. 2018. "A Robust Three-Phase Power Flow for Active Distribution Network Embedded Autonomous Voltage Regulating Strategies." 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) , no. : 1-8.

Journal article
Published: 05 July 2018 in IEEE Access
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With the increasing penetration of wind power into the electricity grid, wind power forecast error analysis plays an important role in operations scheduling. To better describe the characteristics of power forecast error, a probability density function should be established. Compared with the Kernel Density Estimation (KDE) method, this paper adopts the Gaussian Mixture Model (GMM), which is flexible enough to capture different error distribution characteristics, such as bias, heavy tail, multi-peak, etc. In addition, for GMM parameter estimation, when dealing with a large number of multi-dimensional datasets or unbalanced overlapping mixtures, the Expectation Maximization (EM) algorithm shows a slower convergence speed and requires a high number of iterations. In this paper, a new L-BFGS optimization method, based on the Riemannian manifold, is used for GMM parameter estimation. Based on actual wind power forecast error data, the suitability of the model and the new optimization algorithm was verified in large, multidimensional datasets. The new optimization algorithm has fewer iterations than the EM algorithm, with an improved convergence speed.

ACS Style

Fuchao Ge; Yuntao Ju; Zhinan Qi; Yi Lin. Parameter Estimation of a Gaussian Mixture Model for Wind Power Forecast Error by Riemann L-BFGS Optimization. IEEE Access 2018, 6, 38892 -38899.

AMA Style

Fuchao Ge, Yuntao Ju, Zhinan Qi, Yi Lin. Parameter Estimation of a Gaussian Mixture Model for Wind Power Forecast Error by Riemann L-BFGS Optimization. IEEE Access. 2018; 6 (99):38892-38899.

Chicago/Turabian Style

Fuchao Ge; Yuntao Ju; Zhinan Qi; Yi Lin. 2018. "Parameter Estimation of a Gaussian Mixture Model for Wind Power Forecast Error by Riemann L-BFGS Optimization." IEEE Access 6, no. 99: 38892-38899.

Journal article
Published: 22 May 2018 in IEEE Access
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Linear power flow (LPF) is necessary for robust and fast centralized control of active distribution networks (ADNs). With penetration of distributed generators (DGs) into ADN, voltage-controlled nodes are becoming more common, to maintain a normal voltage profile in the distribution network. Existing three-phase LPF formulations under a rectangular coordinate system cannot cope with local voltage-controlled nodes, and does not consider multi-slack-node features of three-phase distribution network, detailed control characteristics and loss participation features of DGs. Here, a general three-phase LPF under a polar coordinate system is presented to address these issues. The proposed method can account for various connection ZIP loads, transformers, and single-phase or three-phase DGs. The detailed control model of the DGs and the distributed slack bus are taken into account. The effectiveness and advantages of the proposed method are validated with balanced 33, 70, 84, 119, 874-node networks and modified IEEE 13, 34, 37, 123 unbalanced networks.

ACS Style

Yuntao Ju; Can Chen; Linlin Wu; Hui Liu. General Three-Phase Linear Power Flow for Active Distribution Networks With Good Adaptability Under a Polar Coordinate System. IEEE Access 2018, 6, 34043 -34050.

AMA Style

Yuntao Ju, Can Chen, Linlin Wu, Hui Liu. General Three-Phase Linear Power Flow for Active Distribution Networks With Good Adaptability Under a Polar Coordinate System. IEEE Access. 2018; 6 (99):34043-34050.

Chicago/Turabian Style

Yuntao Ju; Can Chen; Linlin Wu; Hui Liu. 2018. "General Three-Phase Linear Power Flow for Active Distribution Networks With Good Adaptability Under a Polar Coordinate System." IEEE Access 6, no. 99: 34043-34050.

Preprint
Published: 15 March 2018
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Linear state estimation (SE) formulation under a rectangular coordinate system has been proved to be applicable for real-time distribution network management. Micro phasor measurements’ model can be accommodated into this kind of SE easily. However, voltage magnitude, active power and reactive power measurements are transformed to linear measurements with large node voltage error. To cope with this issue, a linear state estimation under a polar coordinate system is adopted at the first stage to obtain accurate enough complex node voltage, and then nonlinear measurements are transformed to be linear with complex node voltage. At the second stage, linear SE under a rectangular coordinate system can be adopted to satisfy more strict network constraints. The proposed two-stage linear SE is validated on balanced 14, 33, 70,84, 119, 135 nodes network and IEEE 13, 34, 37,123 unbalanced test feeders.

ACS Style

Yuntao Ju. Two-Stage Linear Three-Phase State Estimation Formulation for Active Distribution Network. 2018, 1 .

AMA Style

Yuntao Ju. Two-Stage Linear Three-Phase State Estimation Formulation for Active Distribution Network. . 2018; ():1.

Chicago/Turabian Style

Yuntao Ju. 2018. "Two-Stage Linear Three-Phase State Estimation Formulation for Active Distribution Network." , no. : 1.

Preprint
Published: 08 March 2018
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With large-scale distributed generators (DGs) in an active distribution network (ADN), conventional load flow convergence failure is incurred by heavy power transmission. The Holomorphic Embedding Load Flow Method (HELM) has proven to be more robust than the Newton–Raphson method under heavy power transmission. At present, HELM is mainly designed for balanced transmission networks. In this study, we developed a three-phase HELM model to accommodate DGs, delta connection loads, and ZIP loads for ADN. The effectiveness and better performance of the proposed method under heavy load situations were validated using modified unbalanced IEEE 13, 34, 37, and 123 test feeders.

ACS Style

Yuntao Ju. Holomorphic Embedding Load Flow Modeling of the Three-phase Active Distribution Network. 2018, 1 .

AMA Style

Yuntao Ju. Holomorphic Embedding Load Flow Modeling of the Three-phase Active Distribution Network. . 2018; ():1.

Chicago/Turabian Style

Yuntao Ju. 2018. "Holomorphic Embedding Load Flow Modeling of the Three-phase Active Distribution Network." , no. : 1.

Research article
Published: 13 October 2017 in IET Generation, Transmission & Distribution
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The optimal power flow (OPF) problem for active distribution networks with distributed generation (DG) and a variety of discretely adjustable devices (e.g. on-load tap-changers, OLTCs) is essentially a non-convex, non-linear, mixed-integer optimisation problem. In this study, the quadratic model of three-phase OLTCs is proposed by adding branch currents as unknown variables, which guarantee a constant Hessian matrix throughout iterations. This study proposes a three-phase OPF model for active distribution networks, considering a three-phase DG model. The OPF model is solved by an interior point method incorporating a quadratic penalty function as opposed to a Gaussian penalty function. Furthermore, a voltage regulator is also incorporated into the OPF model to form an integrated regulation strategy. The methodology is tested and validated on the IEEE 13-bus three-phase unbalanced test system.

ACS Style

Fengzhan Zhao; Tingting Zhao; Yuntao Ju; Kang Ma; Xianfei Zhou. Research on three‐phase optimal power flow for distribution networks based on constant Hessian matrix. IET Generation, Transmission & Distribution 2017, 12, 241 -246.

AMA Style

Fengzhan Zhao, Tingting Zhao, Yuntao Ju, Kang Ma, Xianfei Zhou. Research on three‐phase optimal power flow for distribution networks based on constant Hessian matrix. IET Generation, Transmission & Distribution. 2017; 12 (1):241-246.

Chicago/Turabian Style

Fengzhan Zhao; Tingting Zhao; Yuntao Ju; Kang Ma; Xianfei Zhou. 2017. "Research on three‐phase optimal power flow for distribution networks based on constant Hessian matrix." IET Generation, Transmission & Distribution 12, no. 1: 241-246.

Conference paper
Published: 01 July 2017 in 2017 IEEE Power & Energy Society General Meeting
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Three-phase distribution network optimal load flow (T-OLF) cannot be exactly linearized to mixed integer second order cone programming(MI-SOCP) like single-phase branch flow based OLF. Hence, interior point based OLF (IP-OLF) and mixed integer nonlinear programming based OLF (MINLP-OLF) are both tried out to cope with T-OLF in this paper. For IP-OLF, a quadratic three-phase transformer model is proposed to guarantee IP-OLF applying constant Hessian matrix during iterative process. For MINLP-OLF, to gain better optimization results, a Mixed-Integer Quadratically-Constrained Quadratic Program model (MIQCQP) of T-OLF is formulated via binary scheme and big-M method. Numerical tests implemented on simple 4-bus system, IEEE 13-bus and IEEE 34-bus distribution test feeders verify the validity of proposed models and algorithms.

ACS Style

Yuntao Ju; Wenchuan Wu; Yi Lin; Fuchao Ge; Lin Ye. Three-phase optimal load flow model and algorithm for active distribution networks. 2017 IEEE Power & Energy Society General Meeting 2017, 1 -5.

AMA Style

Yuntao Ju, Wenchuan Wu, Yi Lin, Fuchao Ge, Lin Ye. Three-phase optimal load flow model and algorithm for active distribution networks. 2017 IEEE Power & Energy Society General Meeting. 2017; ():1-5.

Chicago/Turabian Style

Yuntao Ju; Wenchuan Wu; Yi Lin; Fuchao Ge; Lin Ye. 2017. "Three-phase optimal load flow model and algorithm for active distribution networks." 2017 IEEE Power & Energy Society General Meeting , no. : 1-5.

Journal article
Published: 01 June 2017 in IEEE Transactions on Smart Grid
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Fast decoupled state estimation (FDSE) is proposed for distribution networks, with fast convergence and high efficiency. Conventionally, branch current magnitude measurements cannot be incorporated into FDSE models; however, in this paper, branch ampere measurements are reformulated as active and reactive branch loss measurements and directly formulated in the proposed FDSE model. Using the complex per unit normalization technique and special chosen state variables, the performance of this FDSE can be guaranteed when it is applied to distribution networks. Numerical tests on seven different distribution networks show that this method outperforms Newton type solutions and is a promising method for practical application.

ACS Style

Yuntao Ju; Wenchuan Wu; Fuchao Ge; Kang Ma; Yi Lin; Lin Ye. Fast Decoupled State Estimation for Distribution Networks Considering Branch Ampere Measurements. IEEE Transactions on Smart Grid 2017, 9, 6338 -6347.

AMA Style

Yuntao Ju, Wenchuan Wu, Fuchao Ge, Kang Ma, Yi Lin, Lin Ye. Fast Decoupled State Estimation for Distribution Networks Considering Branch Ampere Measurements. IEEE Transactions on Smart Grid. 2017; 9 (6):6338-6347.

Chicago/Turabian Style

Yuntao Ju; Wenchuan Wu; Fuchao Ge; Kang Ma; Yi Lin; Lin Ye. 2017. "Fast Decoupled State Estimation for Distribution Networks Considering Branch Ampere Measurements." IEEE Transactions on Smart Grid 9, no. 6: 6338-6347.

Article
Published: 19 January 2017 in The Journal of Engineering
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Unbalanced load flow solution provides the initialisation of electromagnetic transient (EMT) simulation model for the unbalanced active distribution network. The most electro-magnetic transient program (EMTP) software use the d –q -axis-based synchronous machine's parameters, so the existed sequence component-based model is not suitable for the EMT model initialisation. In this study, an unbalanced steady-state synchronous machine model is presented which is derived from the original dynamic model and its parameters are consistent with EMT dynamic model. It is more precise than the sequence component parameters based model. Furthermore, the saturation phenomenon of main flux is also considered in this model. The proposed model is validated and compared with Modelica simulation results.

ACS Style

Yuntao Ju. Unbalanced steady‐state model of synchronous machine for EMT initialisation. The Journal of Engineering 2017, 2017, 2690 -2694.

AMA Style

Yuntao Ju. Unbalanced steady‐state model of synchronous machine for EMT initialisation. The Journal of Engineering. 2017; 2017 (14):2690-2694.

Chicago/Turabian Style

Yuntao Ju. 2017. "Unbalanced steady‐state model of synchronous machine for EMT initialisation." The Journal of Engineering 2017, no. 14: 2690-2694.

Journal article
Published: 30 December 2016 in IEEE Access
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This paper presents a new unbalanced steady-state model of doubly fed induction generator (DFIG) for the three-phase load flow analysis. The existing unbalanced DFIG steady-state model does not consider the effects of different rotor speeds. However, the steady-state model of DFIG changes significantly when it operates at supersynchronous or subsynchronous speeds. In this paper, a new unbalanced steady-state model for DFIG operating at different speeds is discussed in detail. Furthermore, the positive-sequence active power in this model is simulated more precise than the existing DFIG models. The proposed model is validated on CIGRE six-bus test system and can be used to initialize the transient simulation for unbalanced active distribution networks.

ACS Style

Yuntao Ju; Fuchao Ge; Wenchuan Wu; Yi Lin; Jing Wang. Three-Phase Steady-State Model of Doubly Fed Induction Generator Considering Various Rotor Speeds. IEEE Access 2016, 4, 9479 -9488.

AMA Style

Yuntao Ju, Fuchao Ge, Wenchuan Wu, Yi Lin, Jing Wang. Three-Phase Steady-State Model of Doubly Fed Induction Generator Considering Various Rotor Speeds. IEEE Access. 2016; 4 ():9479-9488.

Chicago/Turabian Style

Yuntao Ju; Fuchao Ge; Wenchuan Wu; Yi Lin; Jing Wang. 2016. "Three-Phase Steady-State Model of Doubly Fed Induction Generator Considering Various Rotor Speeds." IEEE Access 4, no. : 9479-9488.