Real-Time Energy Management Optimization Using Model Predictive Control on a Microgrid Demonstrator

Jaboulay, Pierre-Armand; Zhu, Wanshan; Niu, Xinyan; Pan, Xuyang; Gao, Shiqiao

doi:10.1109/icei.2017.47

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…Few other remedies include putting into use real time algorithms for load forecasting [28]. Renewable integration is believed to hamper the technical parameters of a microgrid, various power electronic converters are designed and implemented to tackle this issue [29].…”

Section: A Energy Storage Systems In Microgridsmentioning

confidence: 99%

Microgrids in Competitive Market Environment: An Indian Perspective

Kaur

Prashar

2023

AJES

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Microgrids are believed to be the befitting green solution to the ever-rising energy crisis in the developing nations. The resource rich nations are rapidly shifting their dependence on microgrids to meet the reduced carbon footprint target at a global level. This paper addresses this issue and presents a detailed technical review on microgrid integration in competitive electricity market scenario. An in-depth coverage of the need for and importance of microgrid deployments across India is presented in this work. The relevant literature that highlights the significance of various energy storage systems is reviewed. The authors present the perspective of microgrid integration in a competitive market scenario covering both day ahead and real time market scenarios thereby discussing the concept of maximizing social benefit in a grid integrated microgrid framework. This work also focuses on microgrid optimization techniques and outlines a detailed comparison showing merits and demerits of all the techniques implemented by the researchers so far. The authors highlight the fact that green energy holds the potential to not only outgrow the fossil fuels but it shall do so by fetching the requisite economic benefit to the investors as well.

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Section: A Energy Storage Systems In Microgridsmentioning

confidence: 99%

Microgrids in Competitive Market Environment: An Indian Perspective

Kaur

Prashar

2023

AJES

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“…Several model predictive control (MPC) models have also been proposed for managing ES in a microgrid setting [19], [20] or for power regulation applications in islanded AC/DC microgrids [21]. Similarly, off-line day-ahead stochastic planning/scheduling models have also been proposed in the literature.…”

Section: Introductionmentioning

confidence: 99%

Sampling-Based Model Predictive Control of PV-Integrated Energy Storage System Considering Power Generation Forecast and Real-Time Price

Ospina

Gupta²,

Newaz

et al. 2019

IEEE Power Energy Technol. Syst. J.

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This paper proposes a novel control solution designed to solve the local and grid-connected distributed energy resources (DERs) management problem by developing a generalizable framework capable of controlling DERs based on forecasted values and real-time energy prices. The proposed model uses sampling-based model predictive control (SBMPC), together with the real-time price of energy and forecasts of PV and load power, to allocate the dispatch of the available distributed energy resources (DERs) while minimizing the overall cost. The strategy developed aims to find the ideal combination of solar, grid, and energy storage (ES) power with the objective of minimizing the total cost of energy of the entire system. Both offline and controller hardware-in-the-loop (CHIL) results are presented for a 7-day test case scenario and compared with two manual base test cases and four baseline optimization algorithms (Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Quadratic Programming interior-point method (QP-IP), and Sequential Quadratic Programming (SQP)) designed to solve the optimization problem considering the current status of the system and also its future states. The proposed model uses a 24-hour prediction horizon with a 15-minute control horizon. The results demonstrate substantial cost and execution time savings when compared to the other baseline control algorithms. INDEX TERMSController Hardware-in-the-Loop (CHIL), distributed energy resources (DER), distributed generation (DG), distributed storage (DS), energy management, real-time pricing, model predictive control (MPC).

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Trends in Energy Management System for Smart Microgrid—An Overview

Vaikund

Srivani²

2021

Lecture Notes in Electrical Engineering

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Real-Time Energy Management Optimization Using Model Predictive Control on a Microgrid Demonstrator

Cited by 8 publications

References 11 publications

Microgrids in Competitive Market Environment: An Indian Perspective

Microgrids in Competitive Market Environment: An Indian Perspective

Sampling-Based Model Predictive Control of PV-Integrated Energy Storage System Considering Power Generation Forecast and Real-Time Price

Trends in Energy Management System for Smart Microgrid—An Overview

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