Optimal sizing of a networked microgrid using Nash equilibrium for mount magnet

Ali, Liaqat; Bizhani, Hamed; Muyeen, S. M.; Ghosh, Arindam

doi:10.12720/sgce.9.1.82-90

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…In this research, the cooperative game theory technique is used, and three different players are working in cooperation; therefore, four sets of coalitions are possible. It is analysed in [25, 34], if three players are making four sets of coalitions in the cooperative game model, then the payoff will be optimum when all the players are working in a single coalition and cooperating with each other. In the analysis of this research, only a coalition is considered where all the three players

scriptW

S P

, and

scriptB

are cooperating a single coalition {

(W, S P, B

)} to achieve the best value of the multi‐objective function and optimum sizes of the players.…”

Section: Resultsmentioning

confidence: 99%

“…This research work is the continuation of the author's recent research, where a decision making based technique is used in [31,32] to find the suitable solution and sizes of proposed standalone hybrid power system, the game theory based singleobjective optimization techniques are used in [25,[33][34][35] for the planning of multiple microgrids. Multiple set of microgrids are formulated with respect to the game theory techniques, and a single residential load is connected with the architecture for the planning and optimization of payoff value.…”

Section: Introductionmentioning

confidence: 99%

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A multi‐objective optimization for planning of networked microgrid using a game theory for peer‐to‐peer energy trading scheme

Ali

Muyeen

Bizhani

et al. 2021

IET Generation Trans & Dist

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In this paper, a multi‐objective optimization technique is proposed for the planning of a networked microgrid based on peer‐to‐grid (P2G) and peer‐to‐peer (P2P) energy trading schemes. Two different criteria's including annual profit and energy index of reliability are taken into consideration to form a multi‐objective function. The networked microgrid consists of three individual microgrids containing their own combinations of generation resources, batteries and residential loads. All microgrids are connected together and also to the main grid to meet the energy exchange requirements of P2P energy trading. A cooperative game theory technique based on a particle swarm optimization algorithm is used to model the networked microgrid, and to find the suitable sizes of the players that simultaneously maximize the payoff values of both objective functions. Besides, a comparative analysis is carried out for both P2G and P2P energy trading schemes. The results show that the outcomes are maximum when both criteria are considered in the optimization and P2P energy trading is carried out. The sensitivity analysis is performed on the selected parameters and verified the right change 0.003% and 4.5% in discount rate and electricity prices, respectively.

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scriptW

S P

, and

scriptB

are cooperating a single coalition {

(W, S P, B

)} to achieve the best value of the multi‐objective function and optimum sizes of the players.…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A multi‐objective optimization for planning of networked microgrid using a game theory for peer‐to‐peer energy trading scheme

Ali

Muyeen

Bizhani

et al. 2021

IET Generation Trans & Dist

Self Cite

View full text Add to dashboard Cite

show abstract

“…Once the CBESS is full, but the entire excess power is not consumed, the rest of the power is exported into the network at the FiT rate. (32) illustrates this power balance case. Likewise, if 𝑃 𝑓,𝑡 𝑌 > 𝑃 𝑓,𝑡 𝑋 ; (𝑃 𝑓,𝑡 𝑌 − 𝑃 𝑓,𝑡 𝑋 ) is satisfied via CBESS discharge first and from the power grid (once CBESS reaches the maximum discharge limit).…”

Section: Proposed P2p Trading Formulation In the Lemmentioning

confidence: 98%

“…The uncertainty of DERs is also considered in [30] while P2P orders are settled to avoid any imbalance in demand and supply. The activation of present-day and futuristic potential flexibilities in the power grid is also explored in [31][32].…”

Section: B Literature Review Limitations and Motivationsmentioning

confidence: 99%

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Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities

Ali¹,

Azim²,

Peters³

et al. 2022

IEEE Access

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This paper presents a collated case study on local energy market (LEM) in Australia, in which energy users take part frequently in peer-to-peer (P2P) energy trading among themselves considering the agile presence of energy retailers and distribution utilities. To do so, first, an overview is provided in regard to LEM architecture, trading model with energy retailers, and the blockchain structure. Then, a new P2P trading mechanism is proposed in the LEM that enables both energy users, i.e., sellers and buyers, to reap financial benefits compared to the existing business-as-usual (BAU) model -where local power is exported and imported via feed-in-tariff (FiT) and time-of-use (ToU) rates. The proposed LEM framework also exploits residential battery energy storage systems (RBESSs); and the community battery energy storage systems (CBESSs) to balance local supply and demand appropriately and contributes towards lowering exports/imports from/to power grids by means of bilateral P2P transactions while the inclusion of responsible energy retailers are assured. Moreover, the margins of both energy retailers and distribution utilities are kept unchanged or increased to some extent by the proposed trading model to incorporate them in the LEM framework effectively. Finally, diverse case studies are provided to validate the proposed LEM mechanism with various studied models and demonstrate the superior performance in contrast with the present-day BAU model.INDEX TERMS Blockchain, community battery, distribution utility, energy retailer, local energy market, peer-to-peer energy trading, smart contracts.

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A proportional power sharing method through a local control for a low-voltage islanded microgrid

Azim¹,

Ali²,

Peters³

et al. 2022

Energy Reports

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Optimal sizing of a networked microgrid using Nash equilibrium for mount magnet

Cited by 9 publications

References 9 publications

A multi‐objective optimization for planning of networked microgrid using a game theory for peer‐to‐peer energy trading scheme

A multi‐objective optimization for planning of networked microgrid using a game theory for peer‐to‐peer energy trading scheme

Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities

A proportional power sharing method through a local control for a low-voltage islanded microgrid

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