A Game Theoretic Approach for Demand-Side Management Using Real-Time Variable Peak Pricing Considering Distributed Energy Resources

Mishra, Mrityunjay Kumar; Parida, S. K.

doi:10.1109/jsyst.2020.3033128

Cited by 26 publications

(11 citation statements)

References 38 publications

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“…The results are compared with the proportional pricing scheme. Another novel electricity pricing scheme is proposed in [32], and its performance is observed in the demand-side management problem of residential consumers with distributed storage and generation units. The pricing scheme depends on the aggregated load and a coefficient dependent on the aggregated load.…”

Section: Related Literature Workmentioning

confidence: 99%

“…(𝐶 𝐿𝑃𝑆 ) 𝑖 𝑡 = 𝛼 𝑡 (𝐿 𝑡 ) 2 + 𝛽 𝑡 𝐿 𝑡 + 𝛾 𝑡 (32) (𝐶 𝐿𝑃𝑆 ) 𝑖 𝑡 is the total electricity cost of consumers at the time slot 𝑡. Coefficients 𝛼 𝑡 , 𝛽 𝑡 and 𝛾 𝑡 can have different values at different time slots. Eq.…”

Section: Linear Function Based Pricing Scheme (Lps)mentioning

confidence: 99%

“…Therefore, the Nash equilibrium of the game exists and may have multiple values. For details, refer to [32]. The next section explains the distributed algorithm used to obtain a solution to the game.…”

Section: Game-theoretic Problem Formulationmentioning

confidence: 99%

See 2 more Smart Citations

Comparative analysis of dynamic pricing schemes in distributed energy management of residential users in smart grid

Gaba

Chanana

2021

Journal of Energy Systems

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Increasing power demand, greenhouse gas emissions, and the old infrastructure are serious concerns in the existing power system. With the advent of the smart grid, demand response (DR) has emerged as an effective approach to handle these issues. The selection of an appropriate DR program is vital to acquire the maximum benefits for the utility and the consumers. In this context, a distributed energy management scheme for residential consumers is presented and analyzed to observe the impact of different pricing schemes. The three dynamic pricing schemes considered in this work are based on linear function, the logarithmic function, and the penalty-based linear function of aggregated load. A non-cooperative game is used to formulate the energy management problem of the consumers. The Nash equilibrium of the game is obtained using the proximal decomposition algorithm. The results are obtained for different cases based on the presence of a storage device, a dispatchable generation unit, and two different modes of operation of an electric vehicle. The best pricing scheme is chosen based on the minimum cost, the peak-to-average ratio of the system load profile, and consumer comfort.

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Section: Related Literature Workmentioning

confidence: 99%

Section: Linear Function Based Pricing Scheme (Lps)mentioning

confidence: 99%

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Comparative analysis of dynamic pricing schemes in distributed energy management of residential users in smart grid

Gaba

Chanana

2021

Journal of Energy Systems

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“…There are different approaches reported in literature or applied in power industry that are used for planning and operation of smart grids in presence of renewable energy sources [3]. They apply different optimisation techniques and demand side management methods to secure the electricity supply with acceptable reliability and power quality [4], [5], [6]. The operation performance of these approaches technically depends on three main factors as i) accurate and efficient forecast of prosumers' behaviour, ii) analysis tools and algorithms, and iii) well established and deployed distributed systems.…”

Section: Introductionmentioning

confidence: 99%

“…In some works, like [5], [6], [7], DSO uses storage units to inject or absorb power in response to variations. However, installation and operation of storage units are quite costly for grid operators.…”

Section: Introductionmentioning

confidence: 99%

IoT-Enabled Real-Time Management of Smart Grids With Demand Response Aggregators

Estebsari

Mazzarino

Bottaccioli

et al. 2022

IEEE Trans. on Ind. Applicat.

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Integration of widely distributed small-scale Renewable Energy Sources like rooftop Photovoltaic panels and emerging loads like plug-in Electric Vehicles would cause more volatility in total net demand of distribution networks. Utility-owned storage units and control devices like tap changers and capacitors may not be sufficient to manage the system in real-time. Exploitation of available flexibility in demand side through aggregators is a new measure that distribution system operators are interested in. In this paper, we present a developed real-time management schema based on Internet of Things solutions which facilitate interactions between system operators and aggregators for ancillary services like power balance at primary substation or voltage regulation at secondary substations. Two algorithms for power balance and voltage regulation are developed based on modified Optimal Power Flow and voltage sensitivity matrix, respectively. To demonstrate the applicability of the schema, we set-up a real-time simulationbased test bed and realised the performance of this approach in a real-like environment using real data of a network with residential buildings.

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Demand response management of smart grid based on Stackelberg-evolutionary joint game

Dong

2023

Sci. China Inf. Sci.

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A Game Theoretic Approach for Demand-Side Management Using Real-Time Variable Peak Pricing Considering Distributed Energy Resources

Cited by 26 publications

References 38 publications

Comparative analysis of dynamic pricing schemes in distributed energy management of residential users in smart grid

Comparative analysis of dynamic pricing schemes in distributed energy management of residential users in smart grid

IoT-Enabled Real-Time Management of Smart Grids With Demand Response Aggregators

Demand response management of smart grid based on Stackelberg-evolutionary joint game

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