Decentralized Reactive Power Optimization Method for Transmission and Distribution Networks Accommodating Large-Scale DG Integration

Lin, Chenhui; Wu, Wenchuan; Zhang, Boming; Wang, Bin; Zheng, Weiye; Li, Zhigang

doi:10.1109/tste.2016.2599848

Cited by 114 publications

(69 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3) (Simple) The feasible region S is defined in the form of time-decoupled intervals, which is simple and efficient for practical applications. In contrast to the transmissiondistribution coordination methods [3]- [5] using iterative decomposition algorithms, with the proposed method, the distribution grid can conveniently participate in transmission operation by reporting the concise and compact feasible region S.…”

Section: A Inner-box Approximation Methodsmentioning

confidence: 99%

“…In practice, managing a large population of DER devices for system-wide operation and control is challenging due to the computational complexity. References [3]- [5] apply decomposition methods to incorporate transmission and distribution in economic dispatch and reactive power optimization. However, these methods require a number of iterations and boundary information exchanges between transmission and distribution, and may suffer from slow convergence issues given the sheer scale of this problem due to the large amount of DERs, thus they are arduous for practical applications.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Aggregate Power Flexibility in Unbalanced Distribution Systems

Chen

Dall’Anese

Zhao

et al. 2020

IEEE Trans. Smart Grid

114

View full text Add to dashboard Cite

With a large-scale integration of distributed energy resources (DERs), distribution systems are expected to be capable of providing capacity support for the transmission grid. To effectively harness the collective flexibility from massive DER devices, this paper studies distribution-level power aggregation strategies for transmission-distribution interaction. In particular, this paper proposes a method to model and quantify the aggregate power flexibility, i.e., the net power injection achievable at the substation, in unbalanced distribution systems over time. Incorporating the network constraints and multi-phase unbalanced modeling, the proposed method obtains an effective approximate feasible region of the net power injection. For any aggregate power trajectory within this region, it is proved that there exists a feasible disaggregation solution. In addition, a distributed model predictive control (MPC) framework is developed for practical implementation of the transmission-distribution interaction. At last, we demonstrate the performances of the proposed method via numerical tests on a real-world distribution feeder with 126 multi-phase nodes.Index Terms-Power aggregation, distributed energy resources, unbalanced optimal power flow, power flexibility, distributed optimization. NOMENCLATUREA. Parameters N Number of buses (except the substation). N Y , N ∆ Number of buses with wye-, delta-connection. L Number of distribution lines. v, v Upper, lower limits of the three-phase nodal voltage magnitudes for all buses. i L , i L Upper, lower limits of the three-phase line current magnitudes for all distribution lines. P g,ψ i,t , P g,ψ i,t Upper, lower limits of active PV power generation in phase ψ of bus i at time t. S g,ψ i,t Apparent power capacity of PV units in phase ψ of bus i at time t. P e,ψ i,t , P e,ψ i,t Upper, lower limits of active power output of ES devices in phase ψ of bus i at time t. S e,ψ i,t Apparent power capacity of ES devices in phase ψ of bus i at time t. E i , E i Upper, lower limits for state of charge of ES devices at bus i. X. Chen and N. Li are with the School of Engineering and Applied Sciences, Harvard University, USA. d,ψ i,t , P d,ψ i,t Upper, lower limits for controllable active loads in phase ψ of bus i at time t. F out i,t Outside temperature for HVAC systems at bus i at time t. F i , F i Upper, lower limits of comfortable temperature zone for HVAC systems at bus i. ∆t Length of each time slot under discretized time horizon. B. Variables p Y , q Y ∈ R 3N Y Column vector of the three-phase active, reactive power injection via wye-connection. p ∆ , q ∆ ∈ R 3N∆ Column vector of the three-phase active, reactive power injection via delta-connection. v ∈ R 3N Column vector collecting the three-phase nodal voltage magnitudes for all buses. i L ∈ R 3L Column vector collecting the three-phase line current magnitudes for all distribution lines. p 0 ∈ R 3 Column vector of the three-phase net active power injection at the substation. P g,ψ i,t , Q g,ψ i,t Active, reactive PV power generation ...

show abstract

Section: A Inner-box Approximation Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Aggregate Power Flexibility in Unbalanced Distribution Systems

Chen

Dall’Anese

Zhao

et al. 2020

IEEE Trans. Smart Grid

114

View full text Add to dashboard Cite

show abstract

“…2). It allows assigning higher generation levels to the controllable units (feeders [1][2][3][4] or to the uncontrollable units (feeders 5-8). • Constant load: This parameter defines which possible vision of the future power grid is considered for the generated T&D system.…”

Section: Key Parametersmentioning

confidence: 99%

TDNetGen: An Open-Source, Parametrizable, Large-Scale, Transmission, and Distribution Test System

Pilatte

Aristidou

Hug

2019

IEEE Systems Journal

View full text Add to dashboard Cite

Abstract-In this paper, an open-source MATLAB toolbox is presented that is able to generate synthetic, combined transmission and distribution network models. These can be used to analyse the interactions between transmission and multiple distribution systems, such as the provision of ancillary services by active distribution grids, the co-optimization of planning and operation, the development of emergency control and protection schemes spanning over different voltage levels, the analysis of combined market aspects, etc. The generated test-system models are highly customizable, providing the user with the flexibility to easily choose the desired characteristics, such as the level of renewable energy penetration, the size of the final system, etc.

show abstract

“…. , Q n ) (11) where g(·) expresses a mapping relation from load distribution to reactive power control scheme; (P 1 , . .…”

Section: Relationship Between the Data Source And The Optimal Schemesmentioning

confidence: 99%

A Novel Reactive Power Optimization in Distribution Network Based on Typical Scenarios Partitioning and Load Distribution Matching Method

Liu

Geng

et al. 2017

Applied Sciences

View full text Add to dashboard Cite

This paper proposed an entropy weight optimum seeking method (EWOSM) based on the typical scenarios partitioning and load distribution matching, to solve the reactive power optimization problem in distribution network under the background of big data. Firstly, the mathematic model of reactive power optimization is provided to analyze the relationship between the data source and the optimization schemes in distribution network, which illustrate the feasibility of using large amount of historical data to solve reactive power optimization. Then, the typical scenarios partitioning method and load distribution matching method are presented, which can select out some loads that have the same or similar distributions with the load to be optimized from historical database rapidly, and the corresponding historical optimization schemes are used as the alternatives. As the reactive power optimization is a multi-objective problem, the multi-attribute decision making method based on entropy weight method is used to select out the optimal scheme from the alternatives. The objective weights of evaluation indexes are determined by entropy weight method, and then the multi-attribute decision making problem is transformed to a single attribute decision making problem. Finally, the proposed method is tested on several systems with different scales and compared with existing methods to prove the validity and superiority.

show abstract

Decentralized Reactive Power Optimization Method for Transmission and Distribution Networks Accommodating Large-Scale DG Integration

Cited by 114 publications

References 34 publications

Aggregate Power Flexibility in Unbalanced Distribution Systems

Aggregate Power Flexibility in Unbalanced Distribution Systems

TDNetGen: An Open-Source, Parametrizable, Large-Scale, Transmission, and Distribution Test System

A Novel Reactive Power Optimization in Distribution Network Based on Typical Scenarios Partitioning and Load Distribution Matching Method

Contact Info

Product

Resources

About