Operating Reserves Provision From Residential Users Through Load Aggregators in Smart Grid: A Game Theoretic Approach

Chen, Shibo; Cheng, R.S.

doi:10.1109/tsg.2017.2773145

Cited by 32 publications

(20 citation statements)

References 37 publications

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“…In the day-ahead DR market, since only the bidding price and amount are exchanged between the dispatching center and community, each community does not reveal the details about the energy consumption of native users' appliances. Therefore, privacy can be protected from the residential community level [26]. Furthermore, the members in each group do not always remain unchanged.…”

Section: System Modelmentioning

confidence: 99%

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Evolutionary Analysis for Residential Consumer Participating in Demand Response Considering Irrational Behavior

Liu

Wang

2019

Energies

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Demand response (DR) has been recognized as a powerful tool to relieve energy imbalance in the smart grid. Most previous works have ignored the irrational behavior of energy consumers in DR project implementation. Accordingly, in this paper, we focus on solving two questions during the execution of DR. Firstly, considering the bounded rationality of residential users, a population dynamic model is proposed to describe the decision behavior on whether to participate in the DR project, and then the evolutionary process of consumers participating in DR is analyzed. Secondly, for the DR participants, they have to compete dispatching amounts for maximal profit in a day-ahead bidding market, hence, a non-cooperative game model is proposed to describe the competition behavior, and the uniqueness of the Nash equilibrium is analyzed with mathematical proof. Then, the distributed algorithm is designed to search the evolutionary result and the Nash equilibrium. Finally, a case study is performed to show the effectiveness of the formulated models.

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Section: System Modelmentioning

confidence: 99%

“…Specifically, when the average income in group N reaches the maximal value, the corresponding probability will reach the minimal value. According to Equations (25) and (26), the transition probability from state 1 to state 0 can be expressed as:…”

Section: Transition Probability Modelmentioning

confidence: 99%

Evolutionary Analysis for Residential Consumer Participating in Demand Response Considering Irrational Behavior

Liu

Wang

2019

Energies

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“…In [24], the authors focus attention on the integration of residential users because they are in huge numbers and require relatively small power loads. It is shown that residential users can receive financial benefits from reserve provision.…”

Section: Introduction and State Of The Artmentioning

confidence: 99%

Optimal Control of Multiple Microgrids and Buildings by an Aggregator

et al. 2020

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The electrical grid has been changing in the last decade due to the presence of renewables, distributed generation, storage systems, microgrids, and electric vehicles. The introduction of new legislation and actors in the smart grid’s system opens new challenges for the activities of companies, and for the development of new energy management systems, models, and methods. A new optimization-based bi-level architecture is proposed for an aggregator of consumers in the balancing market, in which incentives for local users (i.e., microgrids, buildings) are considered, as well as flexibility and a fair assignment in reducing the overall load. At the lower level, consumers try to follow the aggregator’s reference values and perform demand response programs to contain their costs and satisfy demands. The approach is applied to a real case study.

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“…Liang et al, taking electricity price, supply capacity limits, and other factors into consideration, used potential game to design a distributed demand side management (DSM) scheme with various kinds of household appliances which greatly simplified the calculation . Considering the huge number of residential users and relatively small power loads, Chen and Cheng provided a load aggregator with a hierarchical structure to operate reserves . The second one studied the game among users.…”

Section: Introductionmentioning

confidence: 99%

“…12 Considering the huge number of residential users and relatively small power loads, Chen and Cheng provided a load aggregator with a hierarchical structure to operate reserves. 13 The second one studied the game among users. Ye and Hu discussed the influence of game decision and analyzed the pricing factors in DR from the view of comprehensive game.…”

Section: Introductionmentioning

confidence: 99%

Real‐time pricing in smart community with constraint from the perspective of advertising game

Dai

Zhao

et al. 2019

Int Trans Electr Energ Syst

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Summary The advertising differential game is introduced to depict the competition among electricity retailers in continuous time. A Stackelberg game model with one leader and multiple followers is established to study the real‐time pricing scheme in a smart community. By solving the optimization problem on users' side with budget constraint and the noncooperative differential game among retailers, the Stackelberg equilibrium between the retailers and the users is obtained. Finally, numerical simulation is carried out to discuss the influence of different factors on the payoff of electricity retailers and users and verify the rationality of the pricing scheme.

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Operating Reserves Provision From Residential Users Through Load Aggregators in Smart Grid: A Game Theoretic Approach

Cited by 32 publications

References 37 publications

Evolutionary Analysis for Residential Consumer Participating in Demand Response Considering Irrational Behavior

Evolutionary Analysis for Residential Consumer Participating in Demand Response Considering Irrational Behavior

Optimal Control of Multiple Microgrids and Buildings by an Aggregator

Real‐time pricing in smart community with constraint from the perspective of advertising game

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