Distribution locational marginal price-based transactive day-ahead market with variable renewable generation

Faqiry, M. Nazif; Edmonds, Lawryn; Wu, Hongyu; Pahwa, Anil

doi:10.1016/j.apenergy.2019.114103

Cited by 53 publications

(47 citation statements)

References 29 publications

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“…Equations (16) and (17) restrict the real and reactive imbalance between phases at the substation node within a small percentage, Δ , and Δ . These constraints distinguish this model from our previous singlephase model in [8].…”

Section: A System Modelmentioning

confidence: 64%

“…Reactive VRE generation is held to of the dispatched real VRE generation. The real and reactive power flow is defined in (11) and 12, and voltage, , , , is defined in (13), where ℳ , , ℳ , are comprised of upstream and downstream incidence matrices and line resistance and reactance diagonal matrices [8]. Note, the real and reactive power loss is approximated using a first-order Taylor series approximation around a feasible point [11].…”

Section: A System Modelmentioning

confidence: 99%

“…The linearized DLMP was decomposed in [8] and is summarized here. The real and reactive DLMP is broken down into four components, energy, loss, voltage violation, and congestion costs and is summed to the total real and reactive DLMP (Ω , , , Ω , , ) as in (18)-(25).…”

Section: B Dlmp Decompositionmentioning

confidence: 99%

“…In this paper, we use a real and reactive, three-phase, and component-wise DLMP model accounting for CGs, VREs, RLs, and BESSs [8], to better understand the market-based operation of three-phase unbalanced distribution systems. Through the use of case studies, we show the intricacies between the positive and negative real and reactive energy, loss, voltage violation, and congestion price components making up the total DLMP.…”

Section: Introductionmentioning

confidence: 99%

“…are combinations of the four Lagrange multipliers that come from the expansion to a linear form of the absolute values in (15), and , , is a combination of real and reactive power injections [8]. When the real or reactive loss, voltage, or congestion components of the DLMP are non-zero at a node, their values, based on dispatch , , or , , of that node, are the sum of the node's marginal contribution to the change in each line's loss, each node's voltage, or the MVA flow of a line, respectively.…”

mentioning

confidence: 99%

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Three-Phase Distribution Locational Marginal Pricing to Manage Unbalanced Variable Renewable Energy

Edmonds¹,

Faqiry²,

H³

et al. 2020

Preprint

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This paper investigates three-phase, component-wise real and reactive distribution locational marginal pricing (DLMP). Through the use of case studies, mixtures of positive and negative, as well as real and reactive, DLMP components are explored in detail. A modified three-phase unbalanced 69-node PG&E system is used to demonstrate the validity of the three-phase real and reactive DLMP model. Results emphasize the importance of three-phase pricing schemes and reactive power pricing. The results also indicate the DLMP mechanism can potentially assist in balancing power across phases. DLMP can serve as an economic price signal to efficiently operate the system while minimizing losses, voltage violations, congestion, and imbalances across all phases.

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Section: A System Modelmentioning

confidence: 64%

Section: A System Modelmentioning

confidence: 99%

Section: B Dlmp Decompositionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Three-Phase Distribution Locational Marginal Pricing to Manage Unbalanced Variable Renewable Energy

Edmonds¹,

Faqiry²,

H³

et al. 2020

Preprint

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HEMS-enabled transactive flexibility in real-time operation of three-phase unbalanced distribution systems

Faqiry

Wang

2019

J. Mod. Power Syst. Clean Energy

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This paper proposes a coordinated two-stage real-time market mechanism in an unbalanced distribution system which can utilize flexibility service from home energy management system (HEMS) to alleviate line congestion, voltage violation, and substation-level power imbalance. At the grid level, the distribution system operator (DSO) computes the distribution locational marginal prices (DLMP) and its energy, loss, congestion, and voltage violation components through comprehensive sensitivity analyses. By using the DLMP components in a firststage optimization problem, the DSO generates two price signals and sends them to HEMS to seek flexibility service. In response to the request of DSO, each home-level HEMS computes a flexibility range by incorporating the prices of DSO in its own optimization problem. Due to future uncertainties, the HEMS optimization problem is modeled as an adaptive dynamic programming (ADP) to minimize the total expected cost and discomfort of the household over a forward-looking horizon. The flexibility range of each HEMS is then used by the DSO in a second-stage optimization problem to determine new optimal dispatch points which ensure the efficient, reliable, and congestionfree operation of the distribution system. Lastly, the second-stage dispatch points are used by each HEMS to constrain its maximum consumption level in a final ADP to assign consumption level of major appliances such as energy storage, heating, ventilation and airconditioning , and water heater. The proposed method is validated on an IEEE 69-bus system with a large number of regular and HEMS-equipped homes in each phase.

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Distributed Solar Hybrid Generation Systems

Aktaş¹,

Kırçiçek²

2021

Solar Hybrid Systems

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Distribution locational marginal price-based transactive day-ahead market with variable renewable generation

Cited by 53 publications

References 29 publications

Three-Phase Distribution Locational Marginal Pricing to Manage Unbalanced Variable Renewable Energy

Three-Phase Distribution Locational Marginal Pricing to Manage Unbalanced Variable Renewable Energy

HEMS-enabled transactive flexibility in real-time operation of three-phase unbalanced distribution systems

Distributed Solar Hybrid Generation Systems

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