Adaptive Robust Expansion Planning for a Distribution Network With DERs

Amjady, Nima; Attarha, Ahmad; Dehghan, Shahab; Conejo, Antonio J.

doi:10.1109/tpwrs.2017.2741443

Cited by 106 publications

(81 citation statements)

References 35 publications

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“…Clearly, DNSPs must appropriately prepare and plan mitigation actions on their network prior to accommodate the rapidly increasing adoption of DERs amongst consumers. In [7], [8], the authors illustrate optimised planning models for distribution network with DERs under the assumption that DNSPs can decide the location and capacity of the DERs. In the case of consumer-driven expansion such as residential solar PV systems, DNSPs must be able to assess multiple scenarios and identify the resulting potential adverse effects on their network using traditional simulation tools or specifically designed tool and models, such as [9], [10].…”

Section: A Literature Reviewmentioning

confidence: 99%

A Probabilistic Reverse Power Flows Scenario Analysis Framework

Demazy

Alpcan

Mareels

2020

IEEE Open J. Power Energy

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Distributed Energy Resources (DER), mainly residential solar PV, are embedded deep within the power distribution network and their adoption is fast increasing globally. As more customers participate, these power generation units cause Reverse Power Flow (RPF) at the edge of the grid, directed upstream into the network, thus violating one of the traditional design principles for power networks. The effects of a single residential solar PV system is negligible, but as the adoption by end-consumers increases to high percentages, the aggregated effect is no longer negligible and must be considered in the design and configuration of power networks. This paper proposes a framework that helps to predict the RPF intensity probability for any given scenario of DER penetration within the distribution network. The considered scenario parameters are the number and location of each residential DERs, their capacity and the daily net-load profiles. Classical simulation-based approach for this is not scalable as it relies on solving the load-flow equations for each individual scenario. The framework leverages machine learning techniques to make fast and precise RPF prediction within the network for each scenario. The framework enables the Distribution Network Service Providers (DNSPs) to assess DERs penetration scenarios at a granular level, derive and localise the RPF risks and assess the respective impacts on the installed assets for network planning purpose. The framework is illustrated with scenario analysis conducted on an IEEE 123 bus system and OpenDSS and shown that it can lead to multiple orders of magnitude savings in computational time while retaining an accuracy of 94% or above compared to classical brute force simulations.

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Section: A Literature Reviewmentioning

confidence: 99%

A Probabilistic Reverse Power Flows Scenario Analysis Framework

Demazy

Alpcan

Mareels

2020

IEEE Open J. Power Energy

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“…wind and solar power generations, load growth, asset availability, future capital costs, etc. The models and solution methodologies developed to address uncertainties can be classified into the following broad categories: a) Monte Carlo simulation nested within a single-or multi-objective optimization model [53][54][55][56][57][58]; b) Probabilistic-stochastic models incorporated into optimization routines [59][60][61][62][63][64][65][66][67]; c) Stochastic programming models [68][69]; and d) "Scenario-like" models integrated within optimization models [70][71][72][73][74]. The most important drawbacks are: a) Distribution planning in utilities is always based on deterministic criteria and there is no simple way to link them with the probabilistic results; b) Results interpretation can be very difficult as well as subsequent decision making using these results; and c) Large amount of data may be required.…”

Section: Probabilistic Decision Treesmentioning

confidence: 99%

Operational Planning of Distribution Networks Based on Utility Planning Concepts

Mansor

Leví

2019

IEEE Trans. Power Syst.

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The paper presents the operational planning of medium voltage (11 kV; 6.6 kV) distribution networks that is an integral part of the previously developed integrated planning approach based on utility planning concepts. The operational planning problem is decoupled from the investment planning stage and it is further divided into two phases, the quality of supply (QoS) planning and the minimization of operational costs. The QoS planning maximizes the benefits of the regulatory incentive regime by installing and automating switchgear, as well as finding optimal normally open points (NOPs). It is solved in two ways, by applying genetic algorithm (GA) optimization and then the approach based on engineering rules. Operational cost minimization considers costs of O&M, switching, losses and reliability. It includes security constraints for radially operated networks and allows that the locations of new switchgear from the QoS stage are changed. The simplified version of the model is also intended to be used as a real-time network reconfiguration tool. The entire methodology is tested on the 69-bus test system.

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“…When researching the optimal planning method of distributed generation access to AC/DC distribution (micro) grids, it is necessary to coordinate the resource requirements of microgrids and distribution networks, so a hierarchical programming model is needed to solve the problem [23][24][25][26][27]. A multi-agent system was introduced to deal with the problem of source-network-load coordination caused by a high proportion of renewable energy access to a distribution network.…”

Section: Introductionmentioning

confidence: 99%

Research on Cooperative Planning of Distributed Generation Access to AC/DC Distribution (Micro) Grids Based on Analytical Target Cascading

Pan

Ding

et al. 2019

Energies

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With the wide application of distributed generation (DG) and the rapid development of alternating current/direct current (AC/DC) hybrid microgrids, the optimal planning of distributed generation connecting to AC/DC distribution networks/microgrids has become an urgent problem to resolve. This paper presents a collaborative planning method for distributed generation access to AC/DC distribution (micro) grids. Based on the grid structure of the AC/DC distribution network, the typical interconnection structure of the AC/DC hybrid microgrid and AC/DC distribution network is designed. The optimal allocation models of distributed power supply for the AC/DC distribution network and microgrid are established based on analytical target cascading. The power interaction between the distribution network and microgrid is used to establish a coupling relationship, and the augmented Lagrangian penalty function is used to solve the collaborative programming problem. The results of distributed power supply allocation are obtained, solving the problem so that distribution generation with different capacity levels is connected to the power grid system in a single form.

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Adaptive Robust Expansion Planning for a Distribution Network With DERs

Cited by 106 publications

References 35 publications

A Probabilistic Reverse Power Flows Scenario Analysis Framework

A Probabilistic Reverse Power Flows Scenario Analysis Framework

Operational Planning of Distribution Networks Based on Utility Planning Concepts

Research on Cooperative Planning of Distributed Generation Access to AC/DC Distribution (Micro) Grids Based on Analytical Target Cascading

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