Decentralized bi-level stochastic optimization approach for multi-agent multi-energy networked micro-grids with multi-energy storage technologies

Ahmadi, Seyed Ehsan; Sadeghi, Delnia; Marzband, Mousa; Abusorrah, Abdullah; Sedraoui, Khaled

doi:10.1016/j.energy.2022.123223

Cited by 88 publications

(27 citation statements)

References 49 publications

(70 reference statements)

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“…[ [16][17][18][19][20][21][22] Different optimization process performed in the power systems are studied.…”

Section: Research Gap and Motivationmentioning

confidence: 99%

“…To analyse the proposed strategy performance in various load conditions and different physical constraints such as time delay, dead zone and generation rate constraints, the discussion is performed between the acquired results of the investigated CFOFPID‐IDD droop controller with fractional order fuzzy PID droop control. In [16–22] different optimization approaches are used in modern power systems for scheduling the multi‐energy systems including renewable resources and natural gas, for determining the optimal location of charging stations of electric vehicles, for optimal sizing of hybrid renewable resources, for the planning of electric vehicle parking lots and stochastic optimization of microgrids including multi‐energy systems and storages. According to the papers that studied the optimization techniques in the power systems and basin‐based power plants, the heuristic approaches such as genetic algorithms and particle swarm optimization methods are widely implemented.…”

Section: Introductionmentioning

confidence: 99%

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Optimal operation of basin‐based tidal units equipped with hydro‐pumps

Negahdari

Ghaedi

Nafar

et al. 2023

The Journal of Engineering

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Due to their clean nature, high capacity and accurate predictability, the basin-based tidal units can be integrated into bulk power systems. The major problem of these units is the high investment cost of barrage construction, and so, among different renewable resources, these units are less developed. For making the tidal barrages cost-effective, new methods should be implemented to increase their produced power that results in the reduction of electricity price. For this purpose, this study suggests new techniques for optimally operating tidal units equipped with hydro pumps. Here, to increase the produced power and energy of the tidal units, at each time, the number of turbines, sluices and hydro-pumps is optimally determined to yield the maximum produced energy of the generation unit using the particle swarm optimization method. For satisfying the effectiveness of the suggested approach, the optimal operation of a tidal unit installed on the estuary of Bacanga is done and the impact of optimal dispatching of the turbines, sluices and hydro-pumps on produced energy of the unit is studied. It is deduced from numerical results that the generated energy of the plant during 24 h is increased by 17% with the implementation of the proposed operation plan.

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“…[ [16][17][18][19][20][21][22] Different optimization process performed in the power systems are studied.…”

Section: Research Gap and Motivationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal operation of basin‐based tidal units equipped with hydro‐pumps

Negahdari

Ghaedi

Nafar

et al. 2023

The Journal of Engineering

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“…Because a single prosumer is only a very small player in the system, a step forward for prosumers is to collectively organize themselves in so-called energy communities, where members have the opportunity to share or trade electricity with each other. A common trading approach in scientific literature is peer-to-peer trading, 1 where participants directly buy and sell electricity from/to their "peers" ( [44] and [48]). The objectives of energy community members are mostly to increase their economic benefits and to contribute to climate change mitigation ( [42] and [3]).…”

Section: Motivationmentioning

confidence: 99%

“…Again regarding a microgrid, a two-stage program for unit commitment is combined with a Markov decision process in [41] considering wind uncertainties. [1] developed a bi-level stochastic optimization for microgrids. [24] present a combined robust and stochastic MPC for EV charging stations in microgrids.…”

Section: Stochastic Modeling and Optimization Of Energy Communitiesmentioning

confidence: 99%

A stochastic approach to dynamic participation in energy communities

Perger

Zwickl-Bernhard²,

Golab³

et al. 2022

Elektrotech. Inftech.

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With energy communities and local electricity markets on the rise, the possibilities for prosumers to be actively involved in the energy system increase, creating more complex settings for energy communities. This paper addresses the following research question: Does having knowledge about the future development in energy communities help make better decisions selecting new participants than without consideration of any future developments? Each year, the community is faced with the exit of existing members and a portfolio of possible new entrants with different characteristics. For this purpose, a bi-level optimization model for dynamic participation in local energy communities with peer-to-peer electricity trading, which is able to select the most suitable new entrants based on the preferences of the members of the original community, is extended to a stochastic dynamic program. The community wants to plan a few years ahead, which includes the following uncertainties: (i) which members leave after each period, and (ii) which are the potential new members willing to join the community. This paper’s contribution is a stochastic optimization approach to evaluate possible future developments and scenarios. The focus lies on the contractual design between the energy community and new entrants; the model calculates the duration of contracts endogenously. The results show a sample energy community’s decision-making process over a horizon of several years, comparing the stochastic approach with a simple deterministic alternative solution.

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“…At present, the energy uncertainty problem in IES has been actively studied in various literature. Depending on the uncertainty modelling approach, these studies can be divided into two types: (1) the deterministic models based on operating or contingency reserve requirements [11]; (2) the non‐deterministic models based on stochastic [12] or robust optimization [13]. Overall, enhancing operational flexibility is the foundation to deal with uncertainty [14].…”

Section: Introductionmentioning

confidence: 99%

Flexible dispatching method for park‐level integrated energy systems considering energy cascade utilization

Chen

Tai

et al. 2022

IET Generation Trans & Dist

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The complex energy conversion and the volatility of renewable energy/load bring great challenges to the operation of the park‐level integrated energy system (PIES). To overcome this challenge, this paper proposes a multi‐timescale flexible dispatching method to fully exploit the flexibility of PIES in the energy cascade utilization mode. The cascade utilization model for energy flow is firstly established to analyse the coupling and complementary of heterogeneous energy. On this basis, the supply‐demand general equations of multi‐energy flexibility are proposed, which accurately quantify the ability to cope with uncertainty through mutual flexibility. Through coordinated complementation and mutual exchange of multi‐grade flexibility, the system realizes the suppression of random power fluctuations. The scheduling model includes day‐ahead dispatch and intraday multi‐time scale dispatch, which can satisfy the adjustment speed requirements of different energy. Numerical results demonstrate that the proposed method effectively enhances the flexibility and economy of system operation. The flexible demand for energy of all grades can be satisfied. Compared with the flexible dispatch in the triple energy supply structure, the operating cost is reduced by 9.07%.

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Decentralized bi-level stochastic optimization approach for multi-agent multi-energy networked micro-grids with multi-energy storage technologies

Cited by 88 publications

References 49 publications

Optimal operation of basin‐based tidal units equipped with hydro‐pumps

Optimal operation of basin‐based tidal units equipped with hydro‐pumps

A stochastic approach to dynamic participation in energy communities

Flexible dispatching method for park‐level integrated energy systems considering energy cascade utilization

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