Multi-temporal optimal power flow for assessing the renewable generation hosting capacity of an active distribution system

Grover-Silva, Etta; Girard, Robin; Kariniotakis, Georges

doi:10.1109/tdc.2016.7520043

Cited by 6 publications

(7 citation statements)

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“…If an investment constraint exists, an investment constraint can be integrated into the optimization problem as seen in eq. (28). This algorithm does not consider the planning of active demand as an alternative solution to electrochemical storage.…”

Section: Discussionmentioning

confidence: 99%

“…In order to overcome the challenge of inaccurate convex relaxations [27] presents an AC OPF algorithm that integrates linear cuts implemented in an iterative manner to ensure an exact and feasible relaxation of the power flow equations. In a followup work, this algorithm has then been developed into a multi-temporal one in order to more objectively evaluate the benefits of grid connected storage and other temporally dependent variables in [28].…”

Section: Introductionmentioning

confidence: 99%

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Optimal sizing and placement of distribution grid connected battery systems through an SOCP optimal power flow algorithm

2018

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. Optimal sizing and placement of distribution grid connected battery systems through an SOCP optimal power flow algorithm. Applied Energy, Elsevier, 2018Elsevier, , 219, pp.385-393. <10.1016Elsevier, /j.apenergy.2017 .008>. Optimal sizing and placement of distribution grid connected battery systems through an SOCP optimal power flow algorithm Etta Grover-Silva 1,2 , Robin Girard 1 , George Kariniotakis 1 AbstractThe high variability and uncertainty introduced into modern electrical distribution systems due to decentralized renewable energy generators requires new solutions for grid management and power quality assurance. One of these possible solutions includes grid integrated energy storage. The appropriate size and placement of decentralized storage is highly dependent on purpose of the battery system and expected operational strategy. However, battery operational strategies are difficult to simulate simultaneously during a sizing and placement planning calculation. The motivation of this paper is to propose an algorithm that is capable of integrating sizing, placement and operational strategies of batteries into an Optimal Power Flow (OPF) distribution grid planning tool. The choice of the OPF approach permits to account for grid constraints which is more adapted for grid-connected storage devices compared to other approaches in the state of the art that are based only on an email balance analysis. This paper presents an alternating current (AC) multi-temporal OPF algorithm that uses a convex relaxation of the power flow equations to guarantee exact and optimal solutions with high algorithmic performance. The algorithm is unique and innovative due to the fact that it combines the simultaneous optimization of placement and sizing of storage devices taking into account load curves, photovoltaic (PV) production profiles, and distribution grid power quality constraints. The choice to invest in battery capacity is highly sensitive to the price of battery systems. The investment in battery systems solely for reducing losses an operational costs was proven not to be cost effective, however when battery systems are allowed to buy and sell electricity based on variable market prices they become cost effective. The assumptions used for this study shows that current battery system prices are too high to be cost effective even when allowing battery system market participation.Keywords: Optimal power flow, storage, smart grids, renewable energy, distribution grid planning Nomenclature Parameters η st Charging and discharging efficiency of the battery system P pv,j,t Ideal PV production for node j at time step t S pv,j,t PV maximum apparent power flow at node j V j Voltage maximum at node n V j Voltage minimum at node n c inv stInvestment costs of the battery system for the nominal capacity in e/MWh-day Operations and maintenance costs of using the battery system for the power use in e/MWh-day c e,tPrice of electricity at time step t I max Total capital cost limit of project P ld,j,t Active power load at n...

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal sizing and placement of distribution grid connected battery systems through an SOCP optimal power flow algorithm

2018

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“…Traditionally, DERs referred to small and dispersed generation resources, such as solar or Combined Heat and Power (CHP), connected to the distribution network. DERs were mainly associated with Distributed Generation (DG), whose value has been studied from various perspectives; [2], [3] consider optimal DG placement, [4]- [9] the impact of DG on capacity deferral, and [10] scenarios, their economics and impact on reliability and the environment. Capacity deferral literature has so far relied among others on Avoided Cost, and Present Worth methods, (e.g., [4], [11]).…”

Section: A Background and Motivationmentioning

confidence: 99%

“…Traditionally, DERs referred to small and dispersed generation resources, such as solar or Combined Heat and Power (CHP), connected to the distribution network. DERs were mainly associated with Distributed Generation (DG), whose value has been studied from various perspectives; [2], [3] consider optimal DG placement, [4]- [9] the impact of DG on capacity deferral, and [10] the grid's DER hosting capacity. A sizable share of published work focuses on evaluating DG The work of P. Andrianesis and M. Caramanis was supported in part by the Sloan Foundation under Grant G-2017-9723 and NSF AitF Grant 1733827.…”

Section: A Background and Motivationmentioning

confidence: 99%

Locational Marginal Value of Distributed Energy Resources as Non-Wires Alternatives

Andrianesis

Caramanis

Masiello

et al. 2020

IEEE Trans. Smart Grid

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In this paper, we address the issue of valuating Distributed Energy Resources (DERs) as Non-Wires Alternatives (NWAs) against wires investments in the traditional distribution network planning process. Motivated by the recent literature on Distribution Locational Marginal Prices, we propose a framework that allows the planner to identify rigorously the shortterm Locational Marginal Value (LMV) of DERs using the notion of Marginal Cost of Capacity (MCC) of the best grid investment alternative to monetize hourly network constraint violations encountered during a yearly rate base timescale. We apply our methodology on two actual distribution feeders anticipated to experience overloads in the absence of additional DERs, and present numerical results on desirable LMV-based generic DER adoption targets and associated costs that can offset or delay different types of grid wires investments. We close with a discussion on policy and actual DER adoption implementation.

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“…Another attempt to adopt the traditional power flow to the new structure of ADSs is accomplished in [72] where a multi-temporal power flow algorithm is proposed to assess DER hosting ability of an ADS. In order to compensate the inaccuracy of some convex relaxation based power flow methods during periods of intensive DERs production, a number of linear constraints are added in the power flow formulation to guarantee an exact relaxation.…”

Section: B Power Flow As a Tool For Grid Performance Evaluationmentioning

confidence: 99%

A review on economic and technical operation of active distribution systems

Ghadi

Ghavidel

Rajabi

et al. 2019

Renewable and Sustainable Energy Reviews

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Along with the advent of restructuring in power systems, considerable integration of renewable energy resources has motivated the transition of traditional distribution networks (DNs) toward new active ones. In the mean while, rapid technology advances have provided great potentials for future bulk utilization of generation units as well as the energy storage (ES) systems in the distribution section. This paper aims to present a comprehensive review of recent advancements in the operation of active distribution systems (ADSs) from the viewpoint of operational time-hierarchy.To be more specific, this time-hierarchy consists of two stages, and at the first stage of this time-hierarchy, four major economic factors, by which the operation of traditional passive DNs is evolved to new active DNs, are described.Then the second stage of the time-hierarchy refers to technical management and power quality correction of ADSs in terms of static, dynamic and transient periods. In the end, some required modeling and control developments for the optimal operation of ADSs are discussed. As opposed to previous review papers, potential applications of devices in the ADS are investigated considering their operational time-intervals. Since some of the compensating devices, storage units and generating sources may have different applications regarding the time scale of their utilization, this paper considers real scenario system operations in which components of the network are firstly scheduled for the specified period ahead; then their deviations of operating status from reference points are modified during three time-intervals covering static, dynamic and transient periods.

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Multi-temporal optimal power flow for assessing the renewable generation hosting capacity of an active distribution system

Cited by 6 publications

References 20 publications

Optimal sizing and placement of distribution grid connected battery systems through an SOCP optimal power flow algorithm

Optimal sizing and placement of distribution grid connected battery systems through an SOCP optimal power flow algorithm

Locational Marginal Value of Distributed Energy Resources as Non-Wires Alternatives

A review on economic and technical operation of active distribution systems

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