Game-Theoretic Formulation of Power Dispatch With Guaranteed Convergence and Prioritized BestResponse

Du, Liang; Grijalva, Santiago; Harley, R.G.

doi:10.1109/tste.2014.2358849

Cited by 36 publications

(14 citation statements)

References 32 publications

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“…It is seen that, the best cost obtained by the HGWO is comparable with that in Refs. [23], but lower than all other results. Fig.…”

Section: Test Systemcontrasting

confidence: 69%

“…Equations (23) and (22) mean that C r is 0 for the best wolf and 0.2 for the worst wolf in the pack of the current generation or iteration. C r ¼ 0 ensures elitism.…”

Section: Crossovermentioning

confidence: 99%

“…contains a fully decentralized approach [23], a game-theoretic formulation [24], a distribution auction-based algorithm, and [25] a distribution consensus-based algorithm, for solving the ED problem.…”

Section: Introductionmentioning

confidence: 99%

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Economic dispatch using hybrid grey wolf optimizer

Jayabarathi

Raghunathan

Adarsh

et al. 2016

Energy

318

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“…It is seen that, the best cost obtained by the HGWO is comparable with that in Refs. [23], but lower than all other results. Fig.…”

Section: Test Systemcontrasting

confidence: 69%

“…Equations (23) and (22) mean that C r is 0 for the best wolf and 0.2 for the worst wolf in the pack of the current generation or iteration. C r ¼ 0 ensures elitism.…”

Section: Crossovermentioning

confidence: 99%

See 1 more Smart Citation

Economic dispatch using hybrid grey wolf optimizer

Jayabarathi

Raghunathan

Adarsh

et al. 2016

Energy

318

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“…Game theory has been widely applied to energy systems (Du et al, 2015;Hong et al, 2014). In previous researches on game theoretic policy for energy systems, fundamental games are usually played between two individual users (Xiao 6 This paper was not presented at any IFAC meeting.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary game theoretic demand-side management and control for a class of networked smart grid

Zhu

Xia

2016

Automatica

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In this paper, a new demand-side management problem of networked smart grid is formulated and solved based on evolutionary game theory. The objective is to minimize the overall cost of the smart grid, where individual communities can switch between grid power and local power according to strategies of their neighbors. The distinctive feature of the proposed formulation is that, a small portion of the communities are cooperative, while others pursue their own benefits. This formulation can be categorized as control networked evolutionary game, which can be solved systematically by using semi-tensor product. A new binary optimal control algorithm is applied to optimize transient performances of the networked evolutionary game.

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“…The consensusbased economic dispatch in [11] handles the supply-demand mismatch due to the transmission losses. Decentralized and scalable economic dispatch solutions for small-scale power systems are also discussed in [12]- [13]. …”

mentioning

confidence: 99%

Distributed optimal dispatch for DC distribution networks

Nasirian

Lewis

Davoudi

2015

2015 IEEE First International Conference on DC Microgrids (ICDCM)

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Economic dispatch coordinates the generation across the distribution network while minimizing the overall generational cost. Optimal dispatch is a global optimization problem and, thus, conventionally carried out by a supervisory controller. However, reliability concerns challenge such architectural design as the failure in the central controller or any communication links would hinder the whole system functionality. Moreover, investigation of such optimization methods has been mainly limited to AC distribution systems; Optimal dispatch of DC distribution systems is largely underinvestigated. Alternatively, this work deigns a distributed controller to achieve optimal dispatch of DC sources by properly sharing the load among DC sources and synchronizing individual incremental costs. This synchrony leads to optimal dispatch of dc sources and secures the system performance against controller or communication link failures.Index Terms -Cooperative control, DC distribution system, Optimal dispatch. I. INTRODUCTIONEconomic dispatch is one of the most important studies in the power system realm. It seeks to coordinate sources to meet the total power demand while minimizing the total generation cost [1]- [5]. This is naturally a nonlinear optimization problem with solutions based on Lagrange multipliers theory [6], dynamic programming [7], or evolutionary algorithms [8]. These approaches are commonly implemented in a supervisory controller, called the tertiary controller, which handles communication, processing, and transmitting the decision to the sources. This central command unit is a data fusion and processing center that requires complex communication infrastructure and intricate computational machinery and poses a reliability concern [9]. In addition, prior knowledge of the system dynamics and load forecast is essential to the operation of the economic dispatch.Decentralized and distributed control approaches are introduced in the literature to handle economic dispatch with distributed computational units across the distribution grid. Limited message passing among these controller help to global coordination and economic dispatch. A distributed auction-based algorithm is presented in [10]. The consensusbased economic dispatch in [11] handles the supply-demand mismatch due to the transmission losses. Decentralized and scalable economic dispatch solutions for small-scale power systems are also discussed in [12]- [13].

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Game-Theoretic Formulation of Power Dispatch With Guaranteed Convergence and Prioritized BestResponse

Cited by 36 publications

References 32 publications

Economic dispatch using hybrid grey wolf optimizer

Economic dispatch using hybrid grey wolf optimizer

Evolutionary game theoretic demand-side management and control for a class of networked smart grid

Distributed optimal dispatch for DC distribution networks

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