A two-stage robust model to determine the optimal selling price for a distributed generation-owning retailer

Khojasteh, Meysam; Jadid, Shahram

doi:10.1002/etep.2067

Cited by 16 publications

(12 citation statements)

References 18 publications

(25 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To involve the uncertainty of loads and market prices, stochastic programming is adopted by Safdarian et al for the short‐term operation of a DisCo. Similarly, stochastic programming model is presented by Morales et al and Khojasteh and Jadid for DG owing retailers to participate in electricity markets selling energy to power markets. Furthermore, demand response is considered by Heydarian‐Forushani et al on the basis of the work by Morales et al…”

Section: Introductionmentioning

confidence: 99%

A stochastic short-term operation model for an active distribution company considering network constraints and demand response

Cai

Lin

Wan

et al. 2017

Int. Trans. Electr. Energ. Syst.

View full text Add to dashboard Cite

This article proposes a short-term operation model for an active distribution company (ADisCo) acting as a producer to maximize its profit from selling energy in electricity markets. The model is constructed based on a 3-stage stochastic programming framework to represent the trading in the day-ahead market, the adjustment market, and the real-time operation as well as uncertainties about market prices and distributed generations (DGs). A novel optimal operation model of distribution network is developed and integrated into the stochastic programming framework to well address the network securities of congestions and voltage violations because of the integration of DGs and interruptible loads. Accordingly, the proposed stochastic operation model is formulated as a linear programming model that can be efficiently solved by commercial software without resulting in further numerical troubles, indicating highly practical potential for industrial utilizations. A variety of case studies demonstrate the effectiveness of the proposed model for an ADisCo on security enhancements and operation revenue increases.

show abstract

Section: Introductionmentioning

confidence: 99%

A stochastic short-term operation model for an active distribution company considering network constraints and demand response

Cai

Lin

Wan

et al. 2017

Int. Trans. Electr. Energ. Syst.

View full text Add to dashboard Cite

show abstract

“…There are already several studies about the bi‐level program and distribution network. A two‐stage robust model is set up to determine the optimal selling price for a distributed generation‐owning retailer in Khojasteh and Jadid . Sadeghi‐Mobarakeh et al propose a bi‐level approach to formulate the competition, in which each DG problem is the upper‐level problem and the distribution companies problem is considered as the lower level one.…”

Section: Introductionmentioning

confidence: 99%

“…A two-stage robust model is set up to determine the optimal selling price for a distributed generation-owning retailer in Khojasteh and Jadid. 23 Sadeghi-Mobarakeh et al 24 propose a bi-level approach to formulate the competition, in which each DG problem is the upper-level problem and the distribution companies problem is considered as the lower level one. Using the Karush-Kuhn-Tucker conditions of the lower level, a nonlinear programming formulation is obtained and solved.…”

Section: Introductionmentioning

confidence: 99%

A novel bi-level optimization model for load supply capability issue in active distribution network

Zhou

Sun

et al. 2017

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary This paper develops a novel bi‐level optimization model for load supply capability (LSC) based on the economic dispatch of distributed generation in active distribution network. The upper subproblem describes the LSC. The lower subproblem denotes the economic dispatch, which is set up as one of the constraint conditions in LSC problem. Thus, the maximum LSC can be obtained on the premise that each operation point achieves the optimal scheduling. Moreover, load static voltage characteristics are considered in this model, which can avoid the inaccuracy of power flow distribution caused by constant power model. To describe the random property of nondispatchable distributed generation, chance constrained programming is adopted in the bi‐level optimization model. Hierarchical iteration algorithm is applied to solve the bi‐level optimization model. The upper and lower subproblems are calculated by particle swarm optimization based on stochastic simulation. A modified IEEE‐33 bus distribution network is tested to demonstrate the effectiveness and superiority of the proposed model. The analysis results demonstrate that the model conforms to the practical operation of active distribution network.

show abstract

“…DG generation pricing when DG is owned by DisCo has been studied in [12]. Role of retailer-owned DG unit to improve the profit of the retailer has been discussed in [13]. Most available studies have been developed from DisCo standpoint and have focused to maximize the DG benefit to DisCo.…”

Section: Introductionmentioning

confidence: 99%

A bi-level approach for optimal contract pricing of independent dispatchable DG units in distribution networks

Mobarakeh

Rajabi-Ghahnavieh

Haghighat

2016

Int. Trans. Electr. Energ. Syst.

View full text Add to dashboard Cite

Distributed Generation (DG) units are increasingly installed in the power systems. Distribution Companies (DisCo) can opt to purchase the electricity from DG in an energy purchase contract to supply the customer demand and reduce energy loss. This paper proposes a framework for optimal contract pricing of independent dispatchable DG units considering competition among them. While DG units tend to increase their profit from the energy purchase contract, DisCo minimizes the demand supply cost. Multi-leader follower game theory concept is used to analyze the situation in which competing DG units offer the energy price to DisCo and DisCo determines the DG generation. A bi-level approach is used to formulate the competition in which each DG problem is the upper-level problem and the DisCo problem is considered as the lower-level one. Combining the optimality conditions of all upper-level problems with the lower level problem results in a multi-DG equilibrium problem formulated as an equilibrium problem with equilibrium constraints (EPEC). Using a nonlinear approach, the EPEC problem is reformulated as a single nonlinear optimization model which is simultaneously solved for all independent DG units. The proposed framework was applied to the Modified IEEE 34-Bus Distribution Test System. Performance and robustness of the proposed framework in determining econo-technically fare DG contract price has been demonstrated through a series of analyses.Keywords: Distributed Generation (DG), Distribution Company (DisCo), Pricing, Game Theory, Multileader follower, Equilibrium Problems with Equilibrium Constraints (EPEC). Active power demand at node k in period t (MW). Voltage magnitude at node k in period t (V).Dual variable related to the power balance constraint at node k in period t.

show abstract

A two-stage robust model to determine the optimal selling price for a distributed generation-owning retailer

Cited by 16 publications

References 18 publications

A stochastic short-term operation model for an active distribution company considering network constraints and demand response

A stochastic short-term operation model for an active distribution company considering network constraints and demand response

A novel bi-level optimization model for load supply capability issue in active distribution network

A bi-level approach for optimal contract pricing of independent dispatchable DG units in distribution networks

Contact Info

Product

Resources

About