Optimization algorithm for microgrids day-ahead scheduling and aggregator proposal

Amicarelli, Elvira; Tran, Quoc Tuan; Bacha, Seddik

doi:10.1109/eeeic.2017.7977487

Cited by 13 publications

(5 citation statements)

References 9 publications

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“…The proposed framework is implemented on an islanded MG comprising 25 households. Each household is a single family residing in a two -floor detached building with area 180m 2 . Building parameters for heating load are adopted from [9] that correspond to medium massive house structures in Finland [13].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…At present, a lot of attention is being paid to the power scheduling problem of a MG equipped with both dispatchable and volatile generation. For example, researchers in [2] proposed a multi MG strategy to reduce the operational cost and prepare flexible bids for the aggregator. Reference [3] focused on the optimal battery energy storage system (BESS) sizing concerning long term planning of islanded MGs.…”

Section: Introductionmentioning

confidence: 99%

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Day-Ahead Rolling Window Optimization of Islanded Microgrid with Uncertainty

Bashir

Lehtonen

2018

2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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The integral variability of electricity demand and intermittency of renewable energy resources (RERs) pose special challenges in the operation of islanded Microgrid (MG). The uncertainty associated with load and generation data further magnifies the problem resulting in huge energy curtailments in real time thus making MG operation expensive. Hence, this paper proposes a stochastic 24-hour ahead rolling window optimal energy scheduling framework to minimize the amount of lost load and lost generation in islanded MG while considering the demand response (DR) potential of heating, ventilation & air-conditioning (HVAC) loads, end user thermal preferences and storage systems. These thermal characteristics are modeled via two-capacity building model. The proposed methodology is formulated as a stochastic linear programming problem. The effectiveness of the framework is validated by simulation for the entire winter season using realistic data. Ultimately, the results are used to calculate and control loss of load probability (LOLP) and loss of load expectation (LOLE) in islanded MG at minimum cost.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Day-Ahead Rolling Window Optimization of Islanded Microgrid with Uncertainty

Bashir

Lehtonen

2018

2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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“…Most studies use the day-ahead optimal scheduling scheme to provide the global minimized total cost [28]- [29]. However, this approach is impractical as it requires information regarding the PEVs, loads, and PV profiles in the future (for example, the subsequent 24 hours).…”

Section: B Proposed Frameworkmentioning

confidence: 99%

Optimal PEV Charging and Discharging Algorithms to Reduce Operational Cost of Microgrid Using Adaptive Rolling Horizon Framework

Trinh,

Zafar,

Chung

2023

IEEE Access

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This paper presents an optimal operation algorithm for a grid-connected microgrid that incorporates renewable energy sources (RESs), plug-in electric vehicle (PEV) charging/discharging stations, and local loads. The aim of this work is to not only propose a microgrid operating algorithm but also implement it within the microgrid energy management system. The primary objective of the proposed algorithm is to reduce the overall operational cost of the microgrid while minimizing the PEV charging bills simultaneously. To this end, we propose an adaptive PEV power charging/discharging and power exchange (grid exporting/importing) scheduling strategy that accounts for the uncertainty of RES power generation, loads, and electric pricing. To address the dynamic arrival of PEVs, we propose an online optimization scheme using an adaptive rolling horizon framework. The size of the rolling window is adjusted in each time step to adapt to the dynamic nature of the PEV charging period. Additionally, we propose the design of a dynamic pricing model for PEV charging and discharging to achieve power system balance within the microgrid, thereby optimizing operating costs and minimizing PEV charging bills further. Through simulations, we demonstrate the effectiveness of the proposed strategies, which are expected to benefit both the microgrid operators and PEV owners. , mi connect N Size of the connection period of m-th

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“…The DSO business model has to be defined in the evolving ecosystem with parallel consideration of the architectural transition from unidirectional to bi-directional in the power system itself (e.g. new stakeholders in the energy value chain, the creation of a flexibility market [18]). However, along with the advantages, maintaining the quality of service is now much more challenging for the DSO, while the penalties for not delivery is also a concern for prosumers and microgrid.…”

Section: B Challenges and Opportunitiesmentioning

confidence: 99%

Complementary business models for distribution system operator in a peer-to-peer electricity market

Nguyen

Tran

Bésanger

et al. 2021

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Syst

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As more distributed renewable energy resources are connected and peer-to-peer energy trading frameworks are forming, the traditional business model of the distribution system operator and energy retailers faces emerging load and price risks. In this paper, two sustainable and complementary business models for the DSO the new energy ecosystem are proposed: DSO as the platform operator of the P2P energy exchange framework (including flexibility market and electric vehicle market) and DSO as the service supplier. The two complementary business models exploit the competitive advantages of the DSO (infrastructure, expertise) and provide the DSO with sustainable income stream to complement the revenue reduction under intermittent scenario of demand and DRES production.

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Optimization algorithm for microgrids day-ahead scheduling and aggregator proposal

Cited by 13 publications

References 9 publications

Day-Ahead Rolling Window Optimization of Islanded Microgrid with Uncertainty

Day-Ahead Rolling Window Optimization of Islanded Microgrid with Uncertainty

Optimal PEV Charging and Discharging Algorithms to Reduce Operational Cost of Microgrid Using Adaptive Rolling Horizon Framework

Complementary business models for distribution system operator in a peer-to-peer electricity market

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