Robust Decentralized Coordination of Transmission and Active Distribution Networks

Li, Peng; Yang, Ming

doi:10.1109/ias44978.2020.9334738

Cited by 4 publications

(6 citation statements)

References 24 publications

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“…However, only emergency EVs have been modeled in this work. Conventional uncertainty optimization method, robust optimization [11]- [12] and distributional robust optimization [13]- [14] are used to deal with the uncertainty of EV and DG. An improved water evaporation optimization algorithm has been proposed in [15] to solve the multi-constraint optimization problem of coordination of DGs, battery energy storage systems and network reconfiguration.…”

Section: ) (Corresponding Author: Wei Tang)mentioning

confidence: 99%

Coordinated Optimization of Emergency Power Vehicles and Distribution Network Reconfiguration Considering the Uncertain Restoration Capability of E-Taxis

Zhang

Jiang

Zhang³

et al. 2022

IEEE Trans. on Ind. Applicat.

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Network reconfiguration and emergency power vehicles (EPVs) dispatching are widely used in distribution networks for load restoration. However, their capabilities are limited by the allocated amounts of circuit breakers and EPVs. Etaxis can also participate in the restoration as a kind of mobile energy storage using the vehicle to grid (V2G) technology. However, the uncertainty of E-taxis should be considered in the restoration. To achieve better effectiveness of the restoration and fully utilize the capability of network reconfiguration, EPVs and E-taxis, this paper proposes a coordinated restoration optimization method considering the uncertain restoration capabilities of discharging stations with E-taxis. A joint probability distribution function is established based on Gaussian Mixture Model to describe the uncertainty of station discharging capabilities considering the correlation of user rationality, taxi state-of-charge and transportation status. Then, a bi-level programming model embedded with the chance constraint programming is developed to optimize the coordinated dynamic restoration scheme of the network reconfiguration and EPV dispatching, with the consideration of the mobility of EPVs during the restoration. Simulations studies are performed to verify the proposed method.

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Section: ) (Corresponding Author: Wei Tang)mentioning

confidence: 99%

Coordinated Optimization of Emergency Power Vehicles and Distribution Network Reconfiguration Considering the Uncertain Restoration Capability of E-Taxis

Zhang

Jiang

Zhang³

et al. 2022

IEEE Trans. on Ind. Applicat.

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“…In the first proposed decentralized scheme, the DSO validates the submitted bids by the EERs, whilst the second scheme proposes a sequential procurement process. A robust decentralized TSO-DSO coordination scheme based on the TSO-DSO hybrid-managed model is presented in [5], in which the TSO-DSO operational coordination is not considered in the ancillary flexibility service market with the EERs. Excluding EERs from the real-time operational coordination of TSO-DSO disregards the benefits of considering renewable energy sources as flexibility providers.…”

Section: Introductionmentioning

confidence: 99%

TSO-DSO Operational Coordination Using a Look-Ahead Multi-Interval Framework

Bakhtiari

Hesamzadeh

Bunn

2023

IEEE Trans. Power Syst.

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With the rise of distributed energy resources and the increasing activation of flexibility resources by Distribution Systems Operators (DSOs), the Transmission System Operators (TSOs) need to co-ordinate their actions with those of the DSOs. This research uses a look-ahead multi-interval (LA-MI) framework for analyzing this coordination and explores two formulations. Firstly in the exogenous DSO model, a mixedinteger linear program is developed to reflect the pragmatic approach in many real situations whereby the TSO can only anticipate statistically the actions of the DSO. In the embedded DSO model, as a comparator, we propose a new organizational setup for the TSO-DSO operational coordination mechanism. In the resulting bilevel decomposition, a new method to calculate Benders cuts is developed and tested on a modified IEEE 118-bus test system as a transmission network and two modified IEEE 33bus test systems as distribution networks. The benefits of the LA-MI coordination framework are substantial in comparison with the current Look-Ahead Single-Interval (LA-SI) coordination framework widely used in Europe.transmission system at time t (M W/M V ar). P T S bct /Q T S bct Active/Reactive power flow from bus b to bus c in transmission system at time t (M W/M V ar). P DS ijbt /Q DS ijbt Active/Reactive power flow from bus i to bus j of a distribution system which is connected to bus b of a transmission system at time t (M W/M V ar). P DS g pt /Q DS g pt Active/reactive consumption for the embedded DSO model at point of common coupling at time t (M W/M V ar). (θ/v s ) (b/i)t Phase angle/Square of voltage magnitude at bus b/i in transmission/distribution systems at time t. β U P bt /β DW bt Binary variables that represent the state of up/down operating reserve activation at bus b and time t for the exogenous DSO activation model. It also represents the concept of implication in the inference dual theorem in the embedded DSO activation model. α U P ubt /α DW dbt Binary variables that represent the state of up/down EERs activation at bus (u/d) ∈ {N ub /N db } of distribution systems which is located at bus b of a transmission system at time t for the exogenous DSO activation model. It also represents the concept of implication in the inference dual theorem in the embedded DSO activation model. λ/Π/µ/δ Dual variables of equality constraints (1b)-(1e). D/Y Dual variables of complementary slackness conditions/Logical indicators. Γ Boundary for the determined Benders cuts in the LBBD model. g Binary variables that reflect combination of complicating variable. Ĝ Boolean variables for different combinations of complicating variables in LBBD. Abbreviations T SO/DSO Transmission/Distribution system operator. T S/DS Superscript for transmission/distribution system. DR/EER Demand response/Embedded energy resource. GDP Generalized disjunctive programming. LA − M I Look-ahead multi-interval.

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“…The virtual power plant (VPP) is a promising scheme to facilitate the coordination between transmission and distribution systems [4]. The VPP aggregates operating characteristics of DERs and the distribution network into a single profile, which provides a succinct interface for the system‐wide utilization of customer‐sited DERs.…”

Section: Introductionmentioning

confidence: 99%

Enlarging flexibility region of virtual power plant via dynamic line rating

Tan

Wang

Zhong

et al. 2022

IET Renewable Power Gen

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The virtual power plant (VPP) can aggregate small‐scale distributed resources to provide flexibility for the transmission system. The flexibility provision capability of the VPP is restricted by technical operating limits of the distribution system to which distributed resources are connected. To facilitate the flexibility provision of the VPP while securing the operation of the local system, this paper leverages the dynamic line rating (DLR) to enlarge the VPP flexibility region. The flexibility region of the VPP is defined as the allowable range of active and reactive power output that the VPP can execute subject to operating constraints of the internal system. With the DLR, the current carrying capacity of the distribution network is dynamically adjusted based on actual environmental conditions, which helps to remove barriers from transmission limits that hinder the integration of distributed flexibility. A convex hull‐based method with an explicit accuracy guarantee is proposed to approximate the flexibility region with the DLR. Case studies based on IEEE‐33 and IEEE‐123 test feeders with real‐world operation data validate the proposed framework.

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Robust Decentralized Coordination of Transmission and Active Distribution Networks

Cited by 4 publications

References 24 publications

Coordinated Optimization of Emergency Power Vehicles and Distribution Network Reconfiguration Considering the Uncertain Restoration Capability of E-Taxis

Coordinated Optimization of Emergency Power Vehicles and Distribution Network Reconfiguration Considering the Uncertain Restoration Capability of E-Taxis

TSO-DSO Operational Coordination Using a Look-Ahead Multi-Interval Framework

Enlarging flexibility region of virtual power plant via dynamic line rating

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