Kunjie Tang

ORCID: 0000-0003-1133-819X
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Research Areas
  • Optimal Power Flow Distribution
  • Power System Optimization and Stability
  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Power Systems and Renewable Energy
  • Smart Grid and Power Systems
  • High-Voltage Power Transmission Systems
  • Computational Physics and Python Applications
  • Power System Reliability and Maintenance
  • Real-time simulation and control systems
  • Smart Grid Security and Resilience
  • Advanced MIMO Systems Optimization
  • Power Systems and Technologies
  • Islanding Detection in Power Systems
  • Lightning and Electromagnetic Phenomena
  • Integrated Energy Systems Optimization
  • Probabilistic and Robust Engineering Design
  • Advanced Battery Technologies Research
  • Experimental Learning in Engineering
  • Advanced Numerical Methods in Computational Mathematics
  • Photovoltaic System Optimization Techniques
  • Distributed and Parallel Computing Systems
  • Hybrid Renewable Energy Systems
  • Numerical Methods and Algorithms

Zhejiang University
2018-2023

Abstract The modeling and multi-energy flow calculation of an integrated energy system (IES) are the bases its operation planning. This paper establishes models various sub-systems coupling equipment for electricity-gas-thermal IES, model IES is constructed. A simplified method compressor in a natural gas network, one which not included loop works constant compression ratio mode, also proposed based on concept reduction. In addition, numerical conversion dealing with conflict between nominal...

10.1186/s41601-021-00182-2 article EN cc-by Protection and Control of Modern Power Systems 2021-02-23

To satisfy the robust and real-time requirements of power flow calculation for large-scale systems, a globally convergent method is proposed with trust-region techniques, which shows satisfying robustness convergence. Then, this combined Newton's to achieve two-stage algorithm, benefiting from their different advantages. In first stage, used searching solution. When values state variables in certain iteration are close enough real operational point, algorithm enters second stage use This can...

10.1109/tpwrs.2019.2914431 article EN IEEE Transactions on Power Systems 2019-05-02

This paper introduces a novel successive-intersection-approximation-based power flow method for integrated transmission and distribution networks (I-T&D). In this method, the entire I-T&D is split into network part, boundary part. Then, alternate iterations are processed between (TN) several (DNs) by exchanging voltage injection of buses. Particularly, magnitude buses will be modified every two obtaining an intersection with results in previous iterations. The local quadratic convergence...

10.1109/tpwrs.2020.2994312 article EN IEEE Transactions on Power Systems 2020-05-13

Considering the increasing coupling between transmission and distribution networks, an affine arithmetic-based interval power flow algorithm of integrated (I-T&D) networks is proposed. First, a novel two-step approximation method for sine cosine functions proposed to reduce number noise variables in form injected power, as basis algorithm. Then, this divided into four stages, which are implemented alternatively system operator (TSO) multiple operators (DSOs) by exchanging parameters at...

10.1109/tsg.2020.2991210 article EN IEEE Transactions on Smart Grid 2020-04-29

Considering the separate management of transmission networks (TNs) and distribution (DNs), this article proposes a chance-constrained optimal power flow (CCOPF) formulation for integrated (I-T&D) its solution algorithm with limited information interaction. The uncertainties loads renewable generations are considered in formulation, which guarantees that generations, flows, voltage magnitudes both TNs DNs remain within their bounds predefined probability. A double-iterative is proposed to...

10.1109/tsg.2020.3021829 article EN IEEE Transactions on Smart Grid 2020-09-04

A TSO-DSO interactive mechanism is proposed to realize coordinated voltage support of transmission network by reactive power provision, activating flexibility active distribution networks, such as distributed generations, flexible loads, compensators, etc. The consists four stages: i) TSO sends request DSOs; ii) Each DSO forms its quantity-price curve and TSO; iii) does a global optimization achieve scheme, incorporating own provision devices curves; iv) re-optimizes in local area reach the...

10.1109/isgt-asia.2019.8881127 article EN 2019-05-01

To guarantee the individual benefits of different system operators in optimal power flow transmission-distribution-coupled (TDC) systems, a generalized Nash game (GNG) model is proposed, under which transmission (TSOs) and distribution (DSOs) optimize their non-cooperative objectives coordinated manner. Then, an improved iterative method with successive-intersection approximation proposed to solve GNE achieve equilibrium (GNE) points. Further, reduce unnecessary costs led by GNG, GNE-based...

10.1109/tpwrs.2023.3310984 article EN IEEE Transactions on Power Systems 2023-09-01

Considering that the conventional synchronous splitting (MSS) method for power flow calculation of coupled transmission and active distribution (TDC) systems has limitations in efficiency convergence due to penetration distributed generations (DGs) loop operation, this paper proposes an asynchronous forward-backward-splitting algorithm TDC systems. In algorithm, system operator (TSO) acts as a coordinator processes forward steps while operators (DSOs) act agents process backward steps. Two...

10.1109/tsg.2021.3097213 article EN publisher-specific-oa IEEE Transactions on Smart Grid 2021-08-24

As the coupling between transmission systems and distribution is significantly enhanced, transmission–distribution coordinated optimisation becomes more necessary. Considering that objectives of system operator (TSO) (DSO) are usually different in type dimension, a synthesised‐objective collaborative model proposed this study, by normalising objectives, introducing weight factor to reflect importance degree difference multiple constructing common objective. Then, modified heterogeneous...

10.1049/iet-gtd.2019.0595 article EN IET Generation Transmission & Distribution 2019-10-08

An asynchronous heterogeneous decomposition (async‐HGD) algorithm for integrated transmission and distribution networks coordinated optimisation considering communication conditions is proposed. Compared with traditional synchronous HGD (sync‐HGD), a partial synchronisation mechanism introduced instead of the full to alleviate influence delays. Under this mechanism, system operator does not need wait slowest complete its subproblem update boundary parameters before next iteration can...

10.1049/iet-gtd.2019.1772 article EN IET Generation Transmission & Distribution 2020-03-28

An iteration-variable-correction (IVC) based method is proposed for solving optimal power flow (OPF) of transmission-distribution-coupled (TDC) systems. First, a TDC system can be divided into single coordinator and multiple agents. Then, the basic formulation, subproblem construction, selection iteration variables are given on conventional heterogeneous decomposition algorithm (HGD). Considering limitations HGD, IVC proposed. According to general theory IVC, when it applied solve OPF,...

10.1109/jsyst.2021.3098815 article EN IEEE Systems Journal 2021-08-20

With the expansion of scale power system, in order to satisfy real-time and accuracy requirements N-1 security, a GPU based AC flow algorithm with preconditioned iterative method was proposed. This concatenated independent problems into one. The Jacobi matrix formed by parallel processing, linear equations were solved direct or according equations. designed parallelly processed on preconditioning ILU(0) Krylov theory. case analysis shows that, proposed has high efficiency, needs small memory...

10.1109/pesgm.2018.8586399 article EN 2021 IEEE Power & Energy Society General Meeting (PESGM) 2018-08-01

A transmission contingency analysis (TCA) method based on data-driven equivalencing of radial DN distribution networks is proposed. First, an offline-online-combined model training The historical data are exploited during offline considering the uncertainties loads and distributed generations to achieve partially prepared root nodal power injection functions, where voltage magnitudes taken as arguments. After that, real-time DGs used determine all coefficients in these functions. In proposed...

10.1109/access.2020.3045697 article EN cc-by IEEE Access 2020-01-01

In this paper, neural network, semi-supervised training, integrated learning, and other techniques are applied to the prediction analysis of static voltage stability margin island microgrid power systems an online method based on Tri-Training-Lasso-BP network is proposed. The consists Tri-Training, least absolute shrinkage select operator (Lasso) algorithm backpropagation (BP) network. results 115-node example show that proposed can reduce requirement data volume training set, take advantage...

10.1109/pesgm41954.2020.9282010 article EN 2021 IEEE Power & Energy Society General Meeting (PESGM) 2020-08-02

10.1016/j.ijepes.2022.108163 article EN International Journal of Electrical Power & Energy Systems 2022-04-14

As modern industrial control shifts to a more intelligent and distributed system, configuration technology has become an important method achieve the objective. However, current is limited by high learning cost long deployment cycles in practical applications. Based on rich engineering experience field of electrical, this paper proposes novel based activity edge network provides relevant details. Our shown advantages such as intuitiveness, low cost, short over existing technology, which...

10.1109/isgtasia54193.2022.10003561 article EN 2022 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia) 2022-11-01

With the expansion of power systems, in order to satisfy real-time requirements large-scale system calculation, a mass expression evaluation parallel algorithm based on `expression forest' was proposed. A batch expressions can be converted an optimal forest by generation algorithm. Then, GPU-CPU framework, proposed realize evaluation. This has universal applicability varieties computational fields. In case analysis, this used formation Jacobian matrices Newton method for flow calculation....

10.1109/pesgm40551.2019.8974025 article EN 2021 IEEE Power & Energy Society General Meeting (PESGM) 2019-08-01

This paper proposes two fast calculation algorithms for the determination of saddle-node bifurcation point islanded microgrids, which use bisection search and parabolic approximation respectively. The Levenberg-Marquardt algorithm is applied to obtain least-squares solution in infeasible region power flow equations. uses determine whether current trial step reaches region, finally approaches point. performs a 'the value' – 'load margin' curve zero corresponding required case analysis shows...

10.1109/cieec50170.2021.9510839 article EN 2022 IEEE 5th International Electrical and Energy Conference (CIEEC) 2021-05-28

The rapid development and application of generalized energy storage resources including fixed adjustable loads have brought challenges to the safety economic operation industrial parks. In this paper, a two-layer planning strategy for capacity considering resource control is proposed an park with photovoltaics (PV) loads. Firstly, operating characteristics resources, response models are established. Secondly, through dispatching reducible loads, PV output fully absorbed, cost reduced, peak...

10.1109/ispec53008.2021.9735590 article EN 2021 IEEE Sustainable Power and Energy Conference (iSPEC) 2021-12-23

There are a lot of control problems in the field comprehensive energy control. In view single experimental environment and difficult programming traditional experiment teaching, principle research itself is out focus. this paper, semi-physical simulation teaching method designed, which combines low code controller developed by ourselves with Simulink model to carry hardware-in-the-loop target complete verification analysis or designed strategy. Taking photovoltaic maximum power tracking for...

10.1109/pandafpe57779.2023.10141382 article EN 2023-04-01
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