Multi-agent system for day-ahead energy management of microgrid

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

doi:10.1109/epe.2016.7695257

Cited by 15 publications

(9 citation statements)

References 19 publications

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“…3.2. Case 5, 6,7,8,9,10 Case 5, case 6, case 7, case 8, case 9, and case 10 happen when ∆p is negative or p L is less than its critical load. The start-time of SC recharging is decided by soc SC .…”

Section: Case 1 2 3mentioning

confidence: 99%

“…When the DG is turned on, the SC starts discharging to compensate for the power of the sluggish dynamic of the DG until the DG can supply the stable power expressed in Equation (10). When the DG can supply stable power, it starts charging the SC and supplying ∆p to keep the power balance of the microgrid until the SC finishes charging.…”

Section: Case 11mentioning

confidence: 99%

“…However, decentralized control has an intrinsic advantage in flexibility. An example of decentralized control is using the multi-agent system [8,9] consisting of many intelligent agents, which are composed of different architectures with different goals and communicate with each other to reach global goals [10]. As a classic control method, centralized control can make a power supply system comply with the design in detail [11,12].…”

Section: Introductionmentioning

confidence: 99%

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DC Microgrid System Modeling and Simulation Based on a Specific Algorithm for Grid-Connected and Islanded Modes with Real-Time Demand-Side Management Optimization

2020

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This paper presents an algorithm considering both power control and power management for a full direct current (DC) microgrid, which combines grid-connected and islanded operational modes, with real-time demand-side management optimization. The full microgrid is a hybrid dynamic system model consisting of two interacting parts: continuous-time dynamics and discrete-event dynamics. Such a full microgrid consists of photovoltaic sources, a DC load, battery storage systems, supercapacitor storage, a diesel generator, and a public grid connection, all connected on a DC common bus. This full microgrid is more reliable than a microgrid with only renewable sources or with only traditional energy sources, considering the power constraints imposed by the public grid as well as the sluggish dynamic of the diesel generator, self-discharging characteristic of the supercapacitor, and load shedding optimization. Meanwhile, this algorithm can automatically switch between grid-connected and islanded operational modes to optimize the power of the load shedding, take advantage of renewable energy, and keep the power balance in the full DC microgrid. The results under MATLAB/Simulink verify that the real-time control algorithm can maintain the power balance in real-time for the whole day and satisfy the power management strategy.

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Section: Case 1 2 3mentioning

confidence: 99%

Section: Case 11mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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DC Microgrid System Modeling and Simulation Based on a Specific Algorithm for Grid-Connected and Islanded Modes with Real-Time Demand-Side Management Optimization

2020

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“…More agent types are proposed in Refs. [25], [26] and [27]. This paper proposes a MAS with only one agent type that can represent any microgrid's player.…”

Section: Related Workmentioning

confidence: 99%

Microgrid management system based on a multi-agent approach: An office building pilot

2020

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“…The authors in [22] utilized multi-agents to integrate DERs using a rule-based algorithm aiming at DA energy management considering the dynamic market price (feed-in tariff (FIT)). Due to the uncertainties in the solar irradiance, there remains some error in forecasted and real values.…”

Section: Introductionmentioning

confidence: 99%

Energy Management in High RER Multi-Microgrid System via Energy Trading and Storage Optimization

et al. 2022

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Multi-agent system for day-ahead energy management of microgrid

Cited by 15 publications

References 19 publications

DC Microgrid System Modeling and Simulation Based on a Specific Algorithm for Grid-Connected and Islanded Modes with Real-Time Demand-Side Management Optimization

DC Microgrid System Modeling and Simulation Based on a Specific Algorithm for Grid-Connected and Islanded Modes with Real-Time Demand-Side Management Optimization

Microgrid management system based on a multi-agent approach: An office building pilot

Energy Management in High RER Multi-Microgrid System via Energy Trading and Storage Optimization

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