Reactive Power Locational Marginal Pricing

Dahab, Momen

doi:10.1109/iccceee.2018.8515804

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…active and reactive power markets). Many studies have not considered opportunity costs when scheduling active and reactive powers [19][20][21][22][23][24][25][26][27][28][29][30][31]. In certain studies the opportunity cost is defined in different ways [18,[33][34][35].…”

Section: Status Of the Literaturementioning

confidence: 99%

“…where Q int is the reactive power at the intersection point of the field and armature capability. Similarly, for the active and reactive power relationships of the armature capability in Regions II and III, the expression of the incremental reactive power cost can be derived using (2), (22), and (A.5) as follows:…”

Section: Conflict Of Interest Statementmentioning

confidence: 99%

“…For the active and reactive power relationships of the underexcitation capability in Region IV, the expression for the incremental reactive power cost can be derived from (3), (22), and (A.5) as follows:…”

Section: Conflict Of Interest Statementmentioning

confidence: 99%

“…In references [20] and [21], capability curve constraints were incorporated into the ACOPF problem as convex constraints. Reactive power locational marginal pricing was proposed in reference [22]; however, only the armature limit was considered. In reference [23], a robust multi‐period ACOPF formulation was proposed.…”

Section: Introductionmentioning

confidence: 99%

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An AC optimal power flow framework for active–reactive power scheduling considering generator capability curve

Vaishya

2023

Energy Conversion and Econom

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This paper presents a simplified optimal power flow (OPF) framework to facilitate co‐optimised active and reactive power scheduling for synchronous generators and price‐sensitive demands. The proposed framework creates an opportunity for generators and loads to simultaneously participate in a combined market for active and reactive power. The co‐optimisation of active and reactive power generation is constrained by the interdependence of the active and reactive power capacities, which is represented by the generator capability curve. Thus, a detailed mathematical derivation of the opportunity costs across various regions of the generator capability curve is presented. This study considers a detailed generator capability curve that considers the armature, field, under‐excitation, and prime mover limits. The interdependence of active and reactive power consumption for demand is modelled using the concept of power‐factor. The OPF problem for generator and load scheduling is formulated as a non‐linear optimisation task, leveraging the inherent properties of the generator capability curve, that is, piecewise smoothness, continuity, and the monotonically increasing slope magnitudes. Furthermore, to simplify the OPF formulation, the non‐linear capability curve is represented as a combination of the linear curves. To demonstrate the effectiveness of the proposed OPF methodologies, suitable case studies are conducted using different test systems.

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