Rule-Based Dispatching of Microgrids with Coupled Electricity and Heat Power Systems

Seydenschwanz, Martin; Gottschalk, Corinna; Lee, Benjamin D.; Ablakovic, Dino

doi:10.1109/isgt-europe47291.2020.9248935

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…The heuristic algorithms are often used as a benchmark to evaluate the behavior of newly proposed methods. In [35], an example presents an algorithm based on rules to control hybrid MGs, where the users can easily understand the results. Furthermore, in [36], a heuristic-based method is one of four power management approaches to regulate an MG to minimize the energy consumption of the MG.…”

Section: The Heuristic Methodsmentioning

confidence: 99%

Battery Storage Systems Control Strategies with Intelligent Algorithms in Microgrids with Dynamic Pricing

2023

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The current microgrid (MG) needs alternatives to raise the management level and avoid waste. This approach is important for developing the modern electrical system, as it allows for better integration of distributed generation (DG) and battery energy storage systems (BESSs). Using algorithms based on artificial intelligence (AI) for the energy management system (EMS) can help improve the MG operation to achieve the lowest possible cost in buying and selling electricity and, consequently, increase energy conservation levels. With this, the research proposes two strategies for managing energy in the MG to determine the instants of charge and discharge of the BESS. A heuristic method is employed as a reference point for comparison purposes with the fuzzy logic (FL) operation developed. Furthermore, other algorithms based on artificial neural networks (ANNs) are proposed using the non-linear autoregressive technique to predict the MG variables. During the research, the developed algorithms were evaluated through extensive case studies, with simulations that used data from the PV system, load demands, and electricity prices. For all cases, the AI algorithms for predictions and actions managed to reduce the cost and daily consumption of electricity in the main electricity grids compared with the heuristic method or with the MG without using BESSs. This indicates that the developed power management strategies can be applied to reduce the costs of grid-connected MG operations. It is important to highlight that the simulations were executed in an adequate time, allowing the use of the proposed algorithms in dynamic real-time situations to contribute to developing more efficient and sustainable electrical systems.

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Section: The Heuristic Methodsmentioning

confidence: 99%

Battery Storage Systems Control Strategies with Intelligent Algorithms in Microgrids with Dynamic Pricing

2023

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“…The control of MGs can be broadly classified as centralized, decentralized and distributed control [17,18]. Centralized techniques use a central controller which gives a coordinated control at the cost of high communication and computational requirements increasing with the size of system [19,20], system failure due to a single point of failure, data privacy, severe limitations on system modifications [10], general requirement of special solvers [21] and convergence issues [22] and are, therefore, preferred for a system of small size. In decentralized control, each Microsource (MS) is responsible for its own operation based on local measurements without any communication with other MSs [17] leading to severe limitations on system level [10].…”

Section: Introductionmentioning

confidence: 99%

“…So, a properly designed hierarchical control can achieve the best of the three discussed techniques. Now a days, the most common approach is heuristic or rule based approach [23] which is simple, quick, less communication and computational intensive and can be verified by human operators leading to high acceptance and less certification issues [21].…”

Section: Introductionmentioning

confidence: 99%

“…Authors showed that such a scheduling algorithm provides the same accuracy as that of centralized optimization algorithms like genetic algorithm and mixed integer linear programming. Reference [21] provides a two step heuristic control for a generic multi bus system based on network information. In the first step, power balance is tried to be achieved for each bus according to the preset priorities and, if succeeded, power set points of components attached to the particular bus are adjusted based on economical reasons.…”

Section: Introductionmentioning

confidence: 99%

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A Comprehensive Decomposition Based Hierarchical Heuristic Control of Multimicrogrids

et al. 2022

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This paper proposes a novel decomposition based hierarchical heuristic control of multimicrogrids to maximize the utilization of renewable energy sources and load satisfaction. The proposed control is capable of providing comprehensive online dispatch of active and reactive powers in steady state modes of operation according to IEEE 2030.7 while keeping in view the restrictions of the participants (microsources and/or microgrids). The proposed solution is generalized to be adopted with respect to different types of participants and grid structures, modular with respect to the number of its participants and capable of protecting the privacy of its participants to maximum possible extent. The proposed heuristic control decomposes the control problem at four levels of hierarchy namely microsource, unit, microgrid and multimicrogrid level. All the distributed energy sources have their own microsource controllers and all the distributed energy sources of the same type are put under one unit controller. All the unit controllers are

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Design and CHIL testing of microgrid controller with general rule-based dispatch

Sun

Ali²,

Joós

et al. 2023

Applied Energy

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Rule-Based Dispatching of Microgrids with Coupled Electricity and Heat Power Systems

Cited by 5 publications

References 7 publications

Battery Storage Systems Control Strategies with Intelligent Algorithms in Microgrids with Dynamic Pricing

Battery Storage Systems Control Strategies with Intelligent Algorithms in Microgrids with Dynamic Pricing

A Comprehensive Decomposition Based Hierarchical Heuristic Control of Multimicrogrids

Design and CHIL testing of microgrid controller with general rule-based dispatch

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