Distributed Coordinated Voltage Control for Distribution Networks With DG and OLTC Based on MPC and Gradient Projection

Jiao, Wenshu; Chen, Jian; Wu, Qiuwei; Li, Canbing; Zhou, Bin

doi:10.1109/tpwrs.2021.3095523

Cited by 55 publications

(25 citation statements)

References 40 publications

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“…This paper proposes a framework to accommodate uncertainty rather than focusing on a forecast of the uncertainty. Thus, the predicted output values of the RDGs [28], [32], [33], [35], [37] [34]…”

Section: A Modeling Of Ac/dc Hybrid Adssmentioning

confidence: 99%

“…[21], [28], [34], [35] [32], [33], [36], [38] Proposed model and load are regarded as the input data. Focus has been placed on the power flow of the ADS and the flexibility of the network such as power flow for AC/DC conversion, SOP, DTR, and DNR.…”

Section: A Modeling Of Ac/dc Hybrid Adssmentioning

confidence: 99%

“…Thus, the initial day-ahead dispatch is transformed into (36). Power flow limits: (1)-( 8) ( 26)-( 28) ( 32) (33) Voltage and current limits: ( 9)-( 11) RDG limits: ( 12)-( 14) ESS and SVC limits: ( 15)-( 20) VSC and SOP limits: ( 21) ( 23) ( 34) ( 35) (36) This equation is an SOCP problem and can be solved using commercial software such as CPLEX and GUROBI.…”

Section: B Solving Day-ahead Dispatchmentioning

confidence: 99%

“…Some researchers have built multiscale optimal scheduling models to solve the above problems. Multiscale scheduling models have been established for distributed generation (DG) [32], on-load tap changers (OLTCs) [33], and commercial buildings with virtual energy storage [34] in the AC power grid. Two-stage scheduling for AC/DC hybrid ADSs considering DG and electric vehicle (EV) coordination [35] and ESSs [36] has been realized.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Two-stage Optimal Dispatching of AC/DC Hybrid Active Distribution Systems Considering Network Flexibility

Teh

2023

Journal of Modern Power Systems and Clean Energy

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The increasing flexibility of active distribution systems (ADSs) coupled with the high penetration of renewable distributed generators (RDGs) leads to the increase of the complexity. It is of practical significance to achieve the largest amount of RDG penetration in ADSs and maintain the optimal operation. This study establishes an alternating current (AC)/direct current (DC) hybrid ADS model that considers the dynamic thermal rating, soft open point, and distribution network reconfiguration (DNR). Moreover, it transforms the optimal dispatching into a second-order cone programming problem. Considering the different control time scales of dispatchable resources, the following two-stage dispatching framework is proposed. ① The day-ahead dispatch uses hourly input data with the goal of minimizing the grid loss and RDG dropout. It obtains the optimal 24-hour schedule to determine the dispatching plans for DNR and the energy storage system. ② The intraday dispatch uses 15 min of input data for 1-hour rolling-plan dispatch but only executes the first 15 min of dispatching. To eliminate error between the actual operation and dispatching plan, the first 15 min is divided into three 5-min step-by-step executions. The goal of each step is to trace the tie-line power of the intraday rolling-plan dispatch to the greatest extent at the minimum cost. The measured data are used as feedback input for the rolling-plan dispatch after each step is executed. A case study shows that the comprehensive cooperative ADS model can release the line capacity, reduce losses, and improve the penetration rate of RDGs. Further, the two-stage dispatching framework can handle source-load fluctuations and enhance system stability. Times of distribution network reconfiguration (DNR) in the day-ahead dispatchBinary variables that indicate the power direction through branch (i,j) during period t Equivalent load demand of active distribution system (ADS) in hour [ζ, ζ + 1] Equivalent load average value in segmentActive and reactive power through branch (j,i)period t Active and reactive power injections at node i during period t Active power injection at node n during period t Active and reactive power injections at node i by substation and renewable distributed generators (RDGs) during period t Active power injection at node n by RDGs duringperiod t Active and reactive power outflowing from node i to load, voltage source converter (VSC), and soft open point (SOP) during period t Active power outflowing from node n to load during period t Active power injection at node i by the AC grid through VSC Active power injections from energy storage systems (ESSs) at node s, n, i during period t Active power outflowing to ESSs at node s, n, i during period t Dropout of RDG during period t Reactive power injection by static var generator (SVG) at node i during period t Reactive power flowing out from ideal VSC Convection heat loss parameter, radiated heat loss parameter, and total solar and sky radiated heat parameter AC resistance of conductor at temperatur...

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Section: A Modeling Of Ac/dc Hybrid Adssmentioning

confidence: 99%

Section: A Modeling Of Ac/dc Hybrid Adssmentioning

confidence: 99%

Section: B Solving Day-ahead Dispatchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Two-stage Optimal Dispatching of AC/DC Hybrid Active Distribution Systems Considering Network Flexibility

Teh

2023

Journal of Modern Power Systems and Clean Energy

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“…PV) to improve power quality. Thus, many scholars have focused on the development of the distribution network: Jiao et al proposed a distributed coordinated voltage control scheme for distribution networks with DG and the on-load tap changer; through the coordination of DGs and other devices, the distributed coordinated voltage control is achieved and the computation burden is mitigated [4]. Wang et al present a uniform control strategy for the bidirectional ac/dc interlinking converter hierarchical controlled hybrid microgrid; the negative consequences can be avoided, and the strategy could be applicable for the hierarchical controlled hybrid microgrid [5].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimal Planning for Distribution Network Considering the Uncertainty of PV Power and Line-Switch State

Gong

Wang

Tian

et al. 2022

Sensors

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With the construction of the smart grid, the distribution network with high penetration of the photovoltaic (PV) generator relies more and more on cyber systems to achieve active control; thus, the uncertainty of PV power and the line-switch state will inevitably affect the distribution network. To avoid the situation, a min–max multi-objective two-level planning model is proposed. Firstly, the uncertainty of PV power is considered, and a multi-time PV power model is established. Followed by the analysis of the line-switch state uncertainty in the distribution network, and according to Claude Shannon’s information theory, the line-switch state uncertainty model is established under multiple scenarios. After the distribution network reconfiguration, the Latin hypercube sampling (LHS) method is used to determine the line-switch state when the uncertainty budget is different. Finally, considering the worstcase by the uncertainty of PV power and line-switch status, the control model is proposed to improve the stability of the distribution network with the minimal maintenance cost. The model feasibility is verified by the test system and the characteristics of PV power uncertainty, the line-switch state uncertainty is analyzed, and the influence of the scheduling strategy is discussed, thus providing practical technical support for the distribution network.

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Hierarchical distributed voltage control for active distribution networks with photovoltaic clusters based on distributed model predictive control and alternating direction method of multipliers

Xu,

Liu,

et al. 2023

Engineering Reports

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This article proposes a hierarchical distributed voltage control (HDVC) scheme for active distribution networks (ADNs) with high penetration of photovoltaics based on distributed model predictive control (DMPC) and alternating direction method of multipliers (ADMM). The reactive power outputs of several photovoltaic clusters (PVCs) and photovoltaic (PV) units within each PVC are optimally coordinated to keep PV terminal voltages and the voltages of all critical buses of ADNs within the feasible range and mitigate voltage fluctuations. In the ADN layer, a distributed reactive power control scheme based on DMPC is designed for the PVC, which regulates the voltages of all critical buses to be closed to the rated value and mitigates the reactive power variations. In the PVC layer, the reactive power outputs of PV units are optimized based on ADMM to minimize the voltage deviation of each PV terminal and track the reactive power reference from the PVC control. The proposed HDVC scheme requires communication only between neighboring PVC controller, while each PV controller only communicates with the corresponding PVC controller. This regulates the voltages in a completely decentralized manner and effectively reduces the computation burden of the PVC and PV controllers. A modified Finnish distribution network with 10 PVCs was used to validate the control performance of the proposed HDVC scheme.

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Distributed Coordinated Voltage Control for Distribution Networks With DG and OLTC Based on MPC and Gradient Projection

Cited by 55 publications

References 40 publications

Two-stage Optimal Dispatching of AC/DC Hybrid Active Distribution Systems Considering Network Flexibility

Two-stage Optimal Dispatching of AC/DC Hybrid Active Distribution Systems Considering Network Flexibility

Multi-Objective Optimal Planning for Distribution Network Considering the Uncertainty of PV Power and Line-Switch State

Hierarchical distributed voltage control for active distribution networks with photovoltaic clusters based on distributed model predictive control and alternating direction method of multipliers

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