Distributed Congestion Management of Distribution Grids Under Robust Flexible Buildings Operations

Hanif, Sarmad; Gooi, Hoay Beng; Massier, Tobias; Hamacher, Thomas; Reindl, Thomas

doi:10.1109/tpwrs.2017.2660065

Cited by 60 publications

(39 citation statements)

References 36 publications

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“…Our framework was shown to effectively relieve congestion at a substation feeder by looking ahead several hours. While for slowly varying systems, such as EVs and commercial building HVAC systems, hourly time steps have been used in several recent studies [18], [19], [37], [38], 10 minute price signals have been used to capture the dynamics of TCLs in our case. Future work could apply our proposed framework in a rolling horizon setting and for other power system applications.…”

Section: Discussionmentioning

confidence: 99%

“…One natural extension could be to deal with network congestion. Recent work investigates distribution locational marginal prices (LMPs) to alleviate network congestion while considering dynamics of EVs [37], [38] and HVACs [18], [19]. Compared to these approaches, our method has the advantage that it lets users choose their individual bid functions and the aggregator makes decisions utilizing the bin-based aggregate model.…”

Section: Discussionmentioning

confidence: 99%

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A Dynamical Systems Approach to Modeling and Analysis of Transactive Energy Coordination

Nazir

Hiskens

2019

IEEE Trans. Power Syst.

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Under transactive (market-based) coordination, a population of distributed energy resources (DERs), such as thermostatically controlled loads (TCLs) and storage devices, bid into an energy market. Consequently, a certain level of demand will be cleared based on the operating conditions of the grid. This paper analyzes the influence of various factors, such as price signals, feeder limits, and user-defined bid functions and preferences, on the aggregate energy usage of DERs. We identify cases that can lead to load synchronization, undesirable power oscillations and highly volatile prices. To address these issues, the paper develops an aggregate model of DERs under transactive coordination. A set of Markov transition equations have been developed over discrete ranges (referred to as "bins") of price levels and their associated DER operating states. A detailed investigation of the performance of this aggregate model is presented. With reformulation of the transition equations, the bin model has been incorporated into a model predictive control setting using both mixed integer programming and quadratic programming. A case study shows that a population of TCLs can be managed economically while avoiding congestion in a distribution grid. Simulations also demonstrate that power oscillations arising from synchronization of TCLs can be effectively avoided.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A Dynamical Systems Approach to Modeling and Analysis of Transactive Energy Coordination

Nazir

Hiskens

2019

IEEE Trans. Power Syst.

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“…To this end, the DSO must predict the uncontrollable load and the price responsiveness of the aggregators to the tariffs. An iterative procedure for obtaining DLMP tariffs is proposed in [7] to respect user privacy, whereas in [8] and [9] some potential sources of uncertainty are incorporated in the DLMP framework.…”

Section: B Existing Dso Mechanisms: Pros and Consmentioning

confidence: 99%

A Mid-Term DSO Market for Capacity Limits: How to Estimate Opportunity Costs of Aggregators?

Ziras

Kazempour

Kara

et al. 2020

IEEE Trans. Smart Grid

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A large number of mechanisms are proposed to manage potential problems in distribution networks caused by the participation of distributed energy resources (DERs) in the wholesale markets. In this paper, we first introduce a practical and straightforward mechanism, based on capacity limits, which avoids conflicts between the transmission system operator and the distribution system operators (DSOs). Using a large number of real electric vehicle (EV) commercial charging stations we then show how an EV aggregator can forecast the opportunity cost incurred by offering a mid-term capacity limit service to the DSO. This cost is computed based on the estimated profit that the aggregator could gain in the day-ahead and real-time markets. The proposed methodology guarantees robustness against evolving EV uncertainty, both in terms of service delivery and driving requirements. It also allows the use of a variety of timeseries forecasting methods without forecasting electricity prices and EV scenarios. The results of our empirical analysis show the exponential increase of opportunity cost and the considerable increase of the prediction intervals as the capacity limit decreases. The produced offering curves can be used as an indication of the underutilization cost of DERs caused by the DSO's limitations.

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“…The advent of restructuring in the electric power industries has given rise to an intense competition among the market players. The Distribution System Operator (DSO) experiences an arduous task to plan the generations situated on the distribution system as the resulting flows may lead to the abrupt congestion [1]. This scenario can also evolve due to the substantial introduction of new loads for the sector electrification like the electric vehicle in the urban areas.…”

Section: Introductionmentioning

confidence: 99%

“…the maximum and minimum crossover probability;1 f is the larger fitness of the two individuals to be crossed; max f is the maximum fitness of the group; avg f is the average fitness of the group. is the fitness of the individual to be mutated.…”

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confidence: 99%

Congestion Control by Optimal Engagement of Distribution Generation using Hybrid Evolutionary Algorithm

Paul¹,

Kumar²,

Dalapati³

2019

IJITEE

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The power system congestion is treated as a vital issue in the restructured topology of the power system. The analysis of appropriate technique to control congestion is of preeminent interest. This paper proposes a congestion controlling scheme with the optimal placement and sizing of the Distributed Generation (DG) so as to ensure an optimal power flow in the power system network. A multi-objective framework is formulated for the proposed approach considering the operating cost, Voltage Stability Index (VSI) and the system losses. A hybrid optimization technique is proposed involving Improved Genetic Algorithm (IGA) and Bat Algorithm (BA) to optimize the objectives proposed in this research. The efficiency of the proposed methodology is verified using IEEE 33 and 69 bus systems. A comparative analysis is established between the outcomes obtained with hybrid IGA-BA and Particle Swarm Optimization (PSO) technique. The output obtained clarifies that by combining IGA and BA, greater efficiency is achieved compared to the PSO algorithm output.

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Distributed Congestion Management of Distribution Grids Under Robust Flexible Buildings Operations

Cited by 60 publications

References 36 publications

A Dynamical Systems Approach to Modeling and Analysis of Transactive Energy Coordination

A Dynamical Systems Approach to Modeling and Analysis of Transactive Energy Coordination

A Mid-Term DSO Market for Capacity Limits: How to Estimate Opportunity Costs of Aggregators?

Congestion Control by Optimal Engagement of Distribution Generation using Hybrid Evolutionary Algorithm

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