Coordination of wind power producers with an energy storage system for the optimal participation in wholesale electricity markets

Dadashi, Mojtaba; Zare, Kazem; Seyedi, Heresh; Shafie‐khah, Miadreza

doi:10.1016/j.ijepes.2021.107672

Cited by 25 publications

(8 citation statements)

References 37 publications

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“…At the second stage, after the realisation of random parameters, the AG's traded power with the RT WEM, as well as upward/downward adjustment power of DGs and charge/discharge power of BSUs, are specified. It should be mentioned that, for the realisation of the existing stochastic factors in the raised decision-making process, a high number of scenarios are generated by the Monte Carlo simulation technique and reduced to an adequate number by utilising the fast backward/forward scenario reduction algorithm [20].…”

Section: Methodsmentioning

confidence: 99%

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A two‐stage stochastic bilevel programming approach for offering strategy of DER aggregators in local and wholesale electricity markets

Haghifam

Dadashi

Laaksonen

et al. 2022

IET Renewable Power Gen

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A two‐stage stochastic programming scheme is proposed in order to evaluate the offering strategy of a distributed energy resource aggregator in both wholesale and local electricity markets and appropriately cope with uncertainties associated with its decision‐making problem. In this regard, the aggregator combines a broad range of virtual and real distributed energy resources to simultaneously participate in the local electricity market as a price‐maker or strategic player and the wholesale electricity market as a price‐taker or non‐strategic player. To model the studied aggregator as a strategic entity in the local market, a bilevel programming approach is exploited in this work. Accordingly, at the upper level of the raised problem, the aggregator tends to promote its expected profit through taking part in the wholesale and local electricity markets, while at the lower level, the considered local market is cleared in a way to maximise the social welfare. In the end, the effectiveness of the proposed framework for the simultaneous participation of the distributed energy resource aggregator in these two markets has been explored utilising a case study.

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Section: Methodsmentioning

confidence: 99%

“…4. Constraints of energy storage units Mathematical models as well as operational constraints of BSUs are stated by Equations ( 12) to (18) [20]. In this regard, the charge and discharge power of these systems is limited by Equations ( 12) and ( 13), respectively.…”

Section: Constraints Of Generation Unitsmentioning

confidence: 99%

A two‐stage stochastic bilevel programming approach for offering strategy of DER aggregators in local and wholesale electricity markets

Haghifam

Dadashi

Laaksonen

et al. 2022

IET Renewable Power Gen

Self Cite

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“…In the end, the nth follower's set of decision variables are listed as follows: Since problems of followers, DER AGs, are linear, continuous, and thus convex, the considered one-leader-multifollower game-based model could be reformulated to a single-level model by replacing the followers' problem with their Karush-Kuhn-Tucker (KKT) conditions [33]. In this context, KKT conditions, including the stationary, complementary slackness, and dual feasibility, are illustrated in Eqs ( 29) to (48).…”

Section: B Problem Formulation Of the Followers-der Agsmentioning

confidence: 99%

Modeling a Local Electricity Market for Transactive Energy Trading of Multi-Aggregators

2022

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The present article aims at modeling a day-ahead local electricity market (DA LEM) for transactive energy trading at the distribution level. In this regard, a wide range of distributed energy resources (DERs) in the form of multiple aggregators (AGs) participates in the DA LEM in order to trade energy with the distribution system operator (DSO), the operator of the market. On the other hand, the DSO, as the owner of the system, has the responsibility to procure the required energy of its customers with respect to the technical constraints of the distribution network. To settle the designed local market, a Stackelberg game-based approach is exploited in this research work. In the raised Stackelberg scheme, the leader of the game, the DSO, seeks to maximize its expected profit, while followers of the game, DER AGs, tend to minimize their operating costs. Ultimately, to evaluate the proposed framework, a typical case study is implemented on a modified IEEE-33 bus test system.INDEX TERMS DER aggregator, distribution system operator, local electricity market, Stackelberg game, transactive energy trading.

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“…Nonetheless, the high penetration of renewable-based units and their intermittent behavior have caused several technical, economic, and regulatory challenges [1]. The mentioned issues could be addressed by jointly operating non-dispatchable renewable units with different types of dispatchable resources, including conventional generation units, flexible loads, and energy storage devices [2]. To facilitate the coordination of these energy sources in a single platform, a concept called virtual power plant (VPP) has been raised.…”

Section: Introductionmentioning

confidence: 99%

Optimal planning of a virtual power plant hosting an EV parking lot

Ebrahimi

Haghifam

Laaksonen

et al. 2022

CIRED Porto Workshop 2022: E-Mobility and Power Distribution Systems

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With the increasing penetration of electric vehicles (EV) in the future, VPPs can take some actions for meeting their demand. This way, VPPs can increase their income by selling electric power to EVs and utilizing the battery of EVs as energy storage to facilitate the deployment of renewable energy resources. However, investing too much in charging stations may not have an acceptable return on investment. In this paper, we study the optimal operation and planning of a VPP which is located to certain part of the network and is composed of wind turbines, PV units, as well as unidirectional and bidirectional EV charging stations. In our proposed approach, optimal planning is done considering that the system will be operated optimally. According to the simulation results, EV owners' behavior could have a significant impact on the optimal planning decision of the VPP. In addition, optimal number of the unidirectional and bidirectional EV charging stations depend on the share of the PV and wind generation and the capacity of the line between the VPP and upstream grid.

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Coordination of wind power producers with an energy storage system for the optimal participation in wholesale electricity markets

Cited by 25 publications

References 37 publications

A two‐stage stochastic bilevel programming approach for offering strategy of DER aggregators in local and wholesale electricity markets

A two‐stage stochastic bilevel programming approach for offering strategy of DER aggregators in local and wholesale electricity markets

Modeling a Local Electricity Market for Transactive Energy Trading of Multi-Aggregators

Optimal planning of a virtual power plant hosting an EV parking lot

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