A Tale of Two Visions: Designing a Decentralized Transactive Electric System

Kristov, Lorenzo; Martini, Paul De; Taft, Jeffrey D.

doi:10.1109/mpe.2016.2524964

Cited by 105 publications

(56 citation statements)

References 2 publications

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“…As the proportion of dispatchable demand-side resources increases in the distribution network, they are expected to provide flexibility to the grid in the form of valuable energy services [16]. These flexible resources could be a fleet of DERs that constitute a virtual battery (VB), solar PV arrays, or advanced distribution feeders schemes act as a VB resource.…”

Section: Introductionmentioning

confidence: 99%

Convex inner approximation of the feeder hosting capacity limits on dispatchable demand

Nazir

Almassalkhi

2019

2019 IEEE 58th Conference on Decision and Control (CDC)

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This paper presents a method to obtain a convex inner approximation that aims to improve the feasibility of optimal power flow (OPF) models in distribution feeders. For a resistive distribution network, both real and reactive power effect the node voltages and this makes it necessary to consider both when formulating the OPF problem. Inaccuracy in linearized OPF models may lead to under and over voltages when dispatching flexible demand, at scale, in response to whole-sale market or grid conditions. In order to guarantee feasibility, this paper obtains an inner convex set in which the dispatchable resources can operate, based on their real and reactive power capabilities, that guarantees network voltages to be feasible. Test simulations are conducted on a standard IEEE distribution test network to validate the approach. arXiv:1905.05743v1 [math.OC]

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Section: Introductionmentioning

confidence: 99%

Convex inner approximation of the feeder hosting capacity limits on dispatchable demand

Nazir

Almassalkhi

2019

2019 IEEE 58th Conference on Decision and Control (CDC)

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“…Market-driven operation of the electric distribution system has recently gained considerable research momentum due to an increasing deployment of various distributed energy resources (DERs) such as renewable energy sources (RESs), electrical energy storages (EESs), dispatchable distributed generation (DG) units, and load aggregators (LAs) [1][2][3][4]. With value as the key operation parameter, transaction-based modeling of DERs in the distribution system operator's (DSO's) market is becoming increasingly popular [2].…”

Section: Introductionmentioning

confidence: 99%

“…Typically seen hierarchically layered, the independent system operator (ISO) in the top layer, acting as the wholesale market auctioneer, would consider every DSO as a pricing node that operates locational marginal price (LMP) markets [1]. In the lower layer, the DSO may use forecasted or post-wholesale market dispatches and LMPs to implement a similar energy auction within its own territory, and properly perform in the wholesale market bidding.…”

Section: Introductionmentioning

confidence: 99%

“…There are few studies that introduce distinctive concepts and models for the DSO's electricity market [1,15,16]. In [1,15], the transactive DSO market model has been conceptualized without detailed formulation.…”

Section: Introductionmentioning

confidence: 99%

“…In [1,15], the transactive DSO market model has been conceptualized without detailed formulation. In [16], a distribution market operator has been introduced that administers optimal scheduling of DERs, which include DGs and loads, while interacting with the ISO.…”

Section: Introductionmentioning

confidence: 99%

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Transactive-Market-Based Operation of Distributed Electrical Energy Storage with Grid Constraints

et al. 2017

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Abstract:In a transactive energy market, distributed energy resources (DERs) such as dispatchable distributed generators (DGs), electrical energy storages (EESs), distribution-scale load aggregators (LAs), and renewable energy sources (RESs) have to earn their share of supply or demand through a bidding process. In such a market, the distribution system operator (DSO) may optimally schedule these resources, first in a forward market, i.e., day-ahead, and in a real-time market later on, while maintaining a reliable and economic distribution grid. In this paper, an efficient day-ahead scheduling of these resources, in the presence of interaction with wholesale market at the locational marginal price (LMP), is studied. Due to inclusion of EES units with integer constraints, a detailed mixed integer linear programming (MILP) formulation that incorporates simplified DistFlow equations to account for grid constraints is proposed. Convex quadratic line and transformer apparent power flow constraints have been linearized using an outer approximation. The proposed model schedules DERs based on distribution locational marginal price (DLMP), which is obtained as the Lagrange multiplier of the real power balance constraint at each distribution bus while maintaining physical grid constraints such as line limits, transformer limits, and bus voltage magnitudes. Case studies are performed on a modified IEEE 13-bus system with high DER penetration. Simulation results show the validity and efficiency of the proposed model.

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Unbalanced Three‐Phase Optimal Power Flow for the Optimization of MV and LV Distribution Grids

Bruno¹,

Scala²

2016

From Smart Grids to Smart Cities

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A Tale of Two Visions: Designing a Decentralized Transactive Electric System

Cited by 105 publications

References 2 publications

Convex inner approximation of the feeder hosting capacity limits on dispatchable demand

Convex inner approximation of the feeder hosting capacity limits on dispatchable demand

Transactive-Market-Based Operation of Distributed Electrical Energy Storage with Grid Constraints

Unbalanced Three‐Phase Optimal Power Flow for the Optimization of MV and LV Distribution Grids

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