Endogenous computation of conjectured supply functions with network constraints

Díaz, Cristian A.; Campos, Fco. Alberto; Villar, José; Rodríguez, Mauricio

doi:10.1016/j.epsr.2012.03.008

Cited by 13 publications

(18 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From [19], without considering any generator constraints (see footnote 3), for simplicity, the equilibrium market price at each area for each demand block , can be computed as 7 :…”

Section: Numerical Resultsmentioning

confidence: 99%

“…The method applied here has been described in [19] and [20] (see details in the Appendix). It computes the companies' strate-gies when these are represented by means of CSFs, which are linear functions only valid around the equilibrium point.…”

Section: Csfe With Network Capacity Constraintsmentioning

confidence: 99%

“…3 The above two steps are repeated until convergence, which is achieved when the SFs and network status do not change in two consecutive iterations. Unlike [19], for this study the electrical characteristics of the transmission networks have been neglected. This means that the problem solved in this paper does not include Kirchhoff's constraints among the power flows through the transmission lines.…”

Section: Csfe With Network Capacity Constraintsmentioning

confidence: 99%

“…This transportation approach is commonly used in the representation of major inter-regional transmission constraints. Simplifying Kirchhoff's laws into a transportation model [24] and considering perfectly inelastic demand, 4 [19] becomes (1) 2 Two nodes and belong to the same area , neglecting network losses, when their nodal prices are equal and when they are interconnected by a path of nodes with same price. 3 Existence and uniqueness cannot be guaranteed when including technical constraints such as generation maximum capacities.…”

Section: Csfe With Network Capacity Constraintsmentioning

confidence: 99%

“…To explore these issues, we apply a conjectured supply function equilibrium (CSFE), previously described in [19] and [20], which endogenously computes the strategies of companies participating in a market. These strategies are modeled using conjectured supply functions (CSFs) which correspond to lineariza-tions of the companies' strategies around the equilibrium point, see [21].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Dynamics of Market Power in ERCOT System: A Fundamental CSFE With Network Constraints

Díaz

Webster

Villar

et al. 2016

IEEE Trans. Power Syst.

Self Cite

View full text Add to dashboard Cite

Previous studies of market power within a regional system have considered multiple competing generation operators and the role of transmission constraints. However, these studies typically assume simplified structures in which each operator is restricted to a unique node in a transmission constrained network. Real systems typically have operators making decisions for units in several zones at once. Past studies also implicitly treated market power as a static concept for a given set of market rules and network configuration. We demonstrate that market power is dynamic, and can vary significantly with fuel prices and even with large-scale weather patterns. We also demonstrate the impact on region-wide market power of operators that manage units in multiple zones. We use the Electric Reliability Council of Texas (ERCOT) as an illustrative case study, and apply a conjectured supply function equilibrium (CSFE) approach that accounts for transmission constraints. We show that the companies with greater influence on the market price will depend on the relative prices of coal and natural gas. We also show that a weather event, such as a period without any wind, can have a substantial impact on market power.

show abstract

“…From [19], without considering any generator constraints (see footnote 3), for simplicity, the equilibrium market price at each area for each demand block , can be computed as 7 :…”

Section: Numerical Resultsmentioning

confidence: 99%

Section: Csfe With Network Capacity Constraintsmentioning

confidence: 99%

Section: Csfe With Network Capacity Constraintsmentioning

confidence: 99%

Section: Csfe With Network Capacity Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dynamics of Market Power in ERCOT System: A Fundamental CSFE With Network Constraints

Díaz

Webster

Villar

et al. 2016

IEEE Trans. Power Syst.

Self Cite

View full text Add to dashboard Cite

show abstract

5.12 Energy Management in Smart Cities

Fokaides

Apanavičienė

Klumbytė

2018

Comprehensive Energy Systems

View full text Add to dashboard Cite

The Degree Certificates are giving reference to the joint programme. The doctoral candidates are jointly supervised, and must pass a joint examination procedure set up by the three institutions issuing the degrees. This Thesis is a part of the examination for the doctoral degree. The invested degrees are official in Spain, the Netherlands and Sweden, respectively. SETS Joint Doctorate was awarded the Erasmus Mundus excellence label by the European Commission in year 2010, and the European Commission's Education, Audiovisual and Culture Executive Agency, EACEA, has supported the funding of this programme. The EACEA is not to be held responsible for contents of the Thesis. vi Energy Management of Smart Cities Christian F. Calvillo Muñoz Energy Management of Smart Cities 1 Christian F. Calvillo Muñoz Chapter 7 Complete smart city energy model: aggregated DER and transport systems with active market participation Chapter 8 Conclusions, contributions and future work Chapter 1 Energy Management of Smart Cities 9 Christian F. Calvillo Muñoz 2 2 LITERATURE REVIEW This chapter presents the identification of energy systems task, corresponding to the smart city energy model methodology described in section 1.3. This includes the evaluation of energy systems available in a smart city, assessing their importance and possible synergies, in addition to the review of the existing models and tools, to select which ones could be used. The first part of the chapter introduces an overview of energy related work on planning and operation models within the smart city by classifying their scope into five main intervention areas. These areas are generation, storage, infrastructure, facilities, and transport. Then, more complex urban energy models integrating more than one intervention area are reviewed, outlining their advantages and limitations, existing trends and challenges, as well as some relevant smart cities applications. With this revision, important elements and possible synergies in the smart city are identified, and a framework for developing a comprehensive smart city energy model is proposed, along with some additional recommendations. Therefore, the main contributions of this chapter are, first, a comprehensive literature review of smart city energy systems and related modelling tools, classifying them in five intervention areas, and second, a framework with guidelines and recommendations for developing a comprehensive smart city energy model.

show abstract

Optimal planning and operation of aggregated distributed energy resources with market participation

et al. 2016

View full text Add to dashboard Cite

This paper analyzes the optimal planning and operation of aggregated distributed energy resources (DER) with participation in the electricity market. Aggregators manage their portfolio of resources in order to obtain the maximum benefit from the grid, while participating in the day-ahead wholesale electricity market. The goal of this paper is to propose a model for aggregated DER systems planning, considering its participation in the electricity market and its impact on the market price. The results are the optimal planning and management of DER systems, and the appropriate energy transactions for the aggregator in the wholesale day-ahead market according to the size of its aggregated resources. A price-maker approach based on representing the market competitors with residual demand curves is followed, and the impact on the price is assessed to help in the decision of using price-maker or price-taker approaches depending on the size of the aggregated resources. A deterministic programming problem with two case studies (the average scenario and the most likely scenario from the stochastic ones), and a stochastic one with a case

show abstract

Endogenous computation of conjectured supply functions with network constraints

Cited by 13 publications

References 28 publications

Dynamics of Market Power in ERCOT System: A Fundamental CSFE With Network Constraints

Dynamics of Market Power in ERCOT System: A Fundamental CSFE With Network Constraints

5.12 Energy Management in Smart Cities

Optimal planning and operation of aggregated distributed energy resources with market participation

Contact Info

Product

Resources

About