Game-Theoretic Cold-Start Transient Optimization in DC Microgrids

Ekneligoda, Nishantha C.; Weaver, Wayne W.

doi:10.1109/tie.2014.2316254

Cited by 39 publications

(9 citation statements)

References 23 publications

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“…Therefore, we obtain (19). Proposition 5 suggests that, when (14) is satisfied, the maximal social welfare of the buyers in such a cooperative game is always larger than or equal to but at most twice of the Nash equilibrium solution to the social welfare of the buyers in the noncooperative game.…”

Section: Propositionmentioning

confidence: 79%

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Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis

Lee

Guo

Choi

et al. 2015

IEEE Trans. Ind. Electron.

350

203

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This paper proposes a distributed mechanism for energy trading among microgrids in a competitive market. We consider multiple interconnected microgrids in a region where, at a given time, some microgrids have superfluous energy for sale, or to keep in storage facilities, whereas some other microgrids wish to buy additional energy to meet local demands and/or storage requirements. Under our approach, the sellers lead the competition by independently deciding the amount of energy for sale subject to a trade-off between the attained satisfaction from the received revenue and that from the stored energy. The buyers follow the sellers' actions by independently submitting a unit price bid to the sellers. Correspondingly, the energy is allocated to the buyers in proportion to their bids, while the revenue is allocated to the sellers in proportion to their sales. We study the economic benefits of such an energy trading mechanism by analyzing its hierarchical decision-making scheme as a multi-leader multi-follower Stackelberg game. We show that distributing the energy based on a well-defined utility function converges to a unique equilibrium solution for maximizing the payoff of all participating microgrids. This game-theoretic study provides an incentive for energy trading among microgrids in the future power grid.

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Section: Propositionmentioning

confidence: 79%

“…complex infrastructure efficiently and reliably, an important building block, known as microgrid [12]- [14], has emerged as a promising platform for a smart grid to integrate and coordinate a potentially huge number of distributed energy resources (DERs) in a decentralized way [15]- [19].…”

mentioning

confidence: 99%

Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis

Lee

Guo

Choi

et al. 2015

IEEE Trans. Ind. Electron.

350

203

View full text Add to dashboard Cite

show abstract

“…The combination of a proportional-resonant and a traditional sliding surface is suggested to improve the transience in the single-phase inverter. The transient behavior can be enhanced, but this methodology results in steady-state errors [27]. The HOSMC approaches are thus used well to control the AC power supply related systems.…”

Section: Discussionmentioning

confidence: 99%

Robust Stable Control Design for AC Power Supply Applications

Chang

Yang

2019

Electronics

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This paper applies modified feedback technology to carry out the exact steady-state and fast transient in a high-performance alternating current (AC) power supply. The presented scheme displays the virtues of a finite-time convergence control (FTCC) and a discrete grey prediction model (DGPM). The FTCC, derived from a terminal sliding-mode (TSM) design principle, can produce the finite system-state convergence time and evade the singularity. It is noteworthy that the chattering/steady-state error around the FTCC may occur because of the overestimated or underestimated uncertainty bound. The DGPM with the bound estimate ability is integrated into the FTCC to cope with internal parameter variations and external load disturbances. The less chattering and steady-state error can be obtained, providing more robust performance in the AC power supply. The combination of the FTCC and the DGPM extends the standard TSM design for the purpose of faster singularity-free convergence, as well as introducing the grey modeling method in the case of a more exact uncertainty estimate. The modified control technology has a high-precision tracking performance and a fast convergent speed. Simulated and experimental results point out that the modified control technology can effectuate low total harmonic distortion (THD) and fast dynamic response in the presence of rectifier loads and abrupt step load changes.

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“…The actual amount of power (in kW) the buyer buys from the seller as given by (24) is Buyers (2,3,4) Sellers (1,5) 0.8141 20.7529 10.7130 2.4959 63.6771 32.8470…”

Section: A Convergence Of Evolutionary Game Among Buyersmentioning

confidence: 99%

“…A group of prosumers can be integrated as a prosumer energy community. The small-scale power system in a house is known as a prosumer nanogrid [3]. The terms prosumer nanogrid and prosumer are used interchangeably in this paper.…”

Section: Introductionmentioning

confidence: 99%

Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model

Paudel

Chaudhari

Long

et al. 2019

IEEE Trans. Ind. Electron.

604

292

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This paper proposes a novel game-theoretic model for peer-to-peer (P2P) energy trading among the prosumers in a community. The buyers can adjust the energy consumption behavior based on the price and quantity of the energy offered by the sellers. There exist two separate competitions during the trading process: (i) price competition among the sellers and (ii) seller selection competition among the buyers. The price competition among the sellers is modeled as a non-cooperative game. The evolutionary game theory is used to model the dynamics of the buyers for selecting sellers. Moreover, an M-leader and N-follower Stackelberg game approach is used to model the interaction between buyers and sellers. Two iterative algorithms are proposed for the implementation of the games such that an equilibrium state exists in each of the games. The proposed method is applied to a small community microgrid with photo-voltaic (PV) and energy storage systems. Simulation results show the convergence of the algorithms and the effectiveness of the proposed model to handle the P2P energy trading. The results also show that P2P energy trading provides significant financial and technical benefits to the community and it is emerging as an alternative to cost-intensive energy storage systems. Index Terms-Peer-to-peer energy trading, community microgrid, prosumer, game theory, energy storage.

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Game-Theoretic Cold-Start Transient Optimization in DC Microgrids

Cited by 39 publications

References 23 publications

Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis

Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis

Robust Stable Control Design for AC Power Supply Applications

Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model

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