Congestion analysis and participants' behaviour in a pool market

Stamtsis, Georgios C.; Erlich, I.

doi:10.1049/ip-gtd:20030946

Cited by 10 publications

(4 citation statements)

References 9 publications

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“…However, this strategy does not explicitly provide lossrelated components, unless relationships that directly encompass losses are incorporated into the underlying OPF model. In [21], a strategy for measuring the contributions of different electricity market participants to the composition of congestion components of nodal prices was introduced.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…Throughout the mathematical derivation of the decomposition approach in Section II-B, the equalities (3), ( 16), (21), and (40) were differentiated with respect to 𝒑 and 𝒒 𝑟̅ . However, if (3), ( 16), (21), and ( 40) are differentiated with respect to 𝒑 𝑑 and 𝒒 𝑑,𝑟̅ , it is possible to obtain the following LMP decomposition:…”

Section: Caveatsmentioning

confidence: 99%

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Locational Marginal Price Decomposition Using a Fully Distributed Slack Bus Model

Saraiva

Paucar

2022

IEEE Access

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The implementation of risk hedging instruments against the inherent volatile nature of locational marginal prices (LMPs) requires the decomposition of such economic signals into specific components. These components are extremely dependent on the active energy reference selection in optimal power flow (OPF) models that govern the LMP decomposition. Active power distributed slack bus models are commonly used to set the active energy reference in LMP decomposition frameworks to satisfy the financial interests of electricity market participants more equitably. However, in recent years, some important energy-related deliberative organizations have shown great interest in incorporating reactive power into market-oriented OPF models. This scenario highlights the need for research efforts focused on the formulation of more complete distributed slack bus models that address active and reactive power. In this context, this paper proposes an LMP decomposition model based on an OPF framework with a fully distributed slack bus formulation. The harmful financial impacts of conventional reactive energy reference specification strategies in the calculation of LMP components are explained from the perspective of market participants. In the proposed decomposition model, to overcome such harmful effects, active and reactive power mismatches are compensated through the conventional active power distributed slack bus and the proposed reactive power distributed slack bus, respectively. Thus, the double selection of energy reference conceives a new source of negotiation between market participants in the formulation of risk hedging instruments. Numerical simulations on the IEEE 30-bus test system corroborate the financial relevance of the proposed decomposition scheme.INDEX TERMS Electricity markets, LMP decomposition, locational marginal price (LMP), optimal power flow (OPF), reactive energy reference, reactive power distributed slack bus. NOMENCLATURE 𝐹(⋅)Total operating cost function. 𝑰 𝑖 i × i identity matrix. 𝑛, 𝑛 𝑝𝑣 , 𝑛 𝑏 , 𝑛 𝑔 Total number of buses, PV buses, branches, and generators. 𝒑, 𝒒 Vectors of net active and reactive power injections at all buses, i.e., 𝒑 = 𝒑 𝑔 − 𝒑 𝑑 and 𝒒 = 𝒒 𝑔 − 𝒒 𝑑 . 𝒑 𝑑 , 𝒒 𝑑 Vectors of active and reactive power loads at all buses. 𝑝 𝑑𝑠 , 𝑞 𝑑𝑠 Active and reactive power injections at the corresponding distributed slack buses. 𝒑 𝑓 , 𝒒 𝑓 Vectors of active and reactive power flow functions at all buses. 𝒑 𝑔 , 𝒒 𝑔 Vectors of active and reactive power injections at all buses. 𝒔 𝑓𝑙 Vector of apparent power flows at all branches. 𝜶, 𝜷 Vectors of active and reactive power participation factors. 𝜼 𝑝 , 𝜼 𝑝 , 𝜼 𝑞 , 𝜼 𝑞 Vectors of Lagrange multipliers.

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Section: B Literature Reviewmentioning

confidence: 99%

Section: Caveatsmentioning

confidence: 99%

Locational Marginal Price Decomposition Using a Fully Distributed Slack Bus Model

Saraiva

Paucar

2022

IEEE Access

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“…Furthermore, transmission management is required to ensure sufficient control over producers and customers to maintain the security level of power system while maximising market efficiency. Independent system operators (ISOs) usually observe the transactions and control the state of the system, take a part in handling the network congestion management (Stamtsis & Erlich, 2004;Lin et al, 2006). ISOs are being challenged to develop a set of regulations to control the security level of power systems and ensure they are at an acceptable level while keeping the efficiency of the power market high (Conejo et al, 2006;Xusheng et al, 2006).…”

Section: Load Generatormentioning

confidence: 99%

Paths to Sustainable Energy

Nathwani¹,

Ng²

2010

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WISE). Dr. Nathwani's experience in the energy sector includes corporate strategy, business planning, policy developments influencing the electricity sector and the planning, design and operation of critical infrastructure. His knowledge of industry practices encompasses regulatory affairs, environmental health and safety issues and drivers of innovation in business practice. Dr. Nathwani serves on several Boards at the provincial and national levels.

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Section: Introductionmentioning

confidence: 99%