MicroGrid Operation and Design Optimization With Synthetic Wins and Solar Resources

Abstract. The concept of microgrid was first introduced in 2001 as a solution for reliable integration of distributed generation and for harnessing their multiple advantages. Specific control and energy management systems must be designed for the microgrid operation in order to ensure reliable, secure and economical operation; either in grid-connected or stand-alone operating mode. The problem of energy management in microgrids consists of finding the optimal or near optimal unit commitment and dispatch of the available sources and energy storage systems so that certain selected criteria are achieved. In most cases, energy management problem do not satisfy the Bellman's principle of optimality because of the energy storage systems. Consequently, in this paper, an original fast heuristic algorithm for the energy management on stand-alone microgrids, which avoids wastage of the existing renewable potential at each time interval, is presented. A typical test microgrid has been analysed in order to demonstrate the accuracy and the promptness of the proposed algorithm. The obtained cost of energy is low (the quality of the solution is high), the primary adjustment reserve is correspondingly assured by the energy storage system and the execution runtime is very short (a fast algorithm). Furthermore, the proposed algorithm can be used for real-time energy management systems.

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“…As an optimization problem, the proposed form is as follows (in a similar form as in [19,21,23,24]):…”

Section: Problem Formulationmentioning

confidence: 99%

“…In other terms, in this case, the most important purpose is to minimize the cost of produced energy [20,21,22,23,24]. This optimization problem (minimization the cost of produced energy) represents the most important issue.…”

Section: Introductionmentioning

confidence: 99%

The Optimization of Microgrids Operation through a Heuristic Energy Management Algorithm

Tomoiagă

Chindris

Sumper

et al. 2013

AEF

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“…In some studies, the proposed EMS is implemented without optimization [3]. In many other researches, the EMS with optimization are addressed in order to achieve optimal scheduling [6,7] and operating strategy [8][9][10][11][12][13][14][15]. In [7, 16 and 17] cost minimization in the EMS is considered using different optimization techniques.…”

Section: Introductionmentioning

confidence: 99%

Implementation of an Optimal Energy Management within Islanded Microgrid

Marzband¹,

Samper²

2024

RE&PQJ

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Abstract. This paper proposes an optimal EnergyManagement System (EMS) based on Mixed Integer Linear Programming (MILP) optimization technique for an islanded Microgrid (MG). A local energy market (LEM) platform is employed which attempts to obtain the best electricity market price and to maximize the utilization of existing distributed energy resources. Besides, a single side auction market structure is used for the LEM which takes the offer prices from all microsources to calculate market clearing price. Simulation and experimental results from the proposed method over a real MG are compared with those from a Modified Conventional EMS (MCEMS). The proposed algorithm is flexible, extendable and too fast to be utilized for different MG structures with various capacities. The results demonstrate the effectiveness of the proposed method to solve the optimal operation problem in an isolated MG with 25% reduction in the cost of operation. Key words

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“… Reduction of the dependence and demand from grid supply for consumers.  Decrease of GHG emissions [7].  Emergence of new ancillary markets and exploitation of excess of energy from distributed generation [8].…”

Section: Introductionmentioning

confidence: 99%

Analysis of European policies and incentives for microgrids

Sanz¹,

Matute²,

Fernández³

et al. 2024

RE&PQJ

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Abstract.One of the best solutions to face the problems in the current European electric systems is based on the implementation of microgrids as a way of increasing the consumption from renewable energy (RE) sources, improving energy efficiency, decreasing GHG emissions and, as a consequence, complying with European Commission (EC) 2020 targets. In this line, different EU regulations have been established but the particularities of each member state regulatory framework could appear as a barrier. For this reason, it is important to study how member states are carrying out the tasks associated with the penetration of microgrids, studying how European directives are transposed and incentives introduced. Besides, representative projects and demonstration cases for microgrids are shown, in order to determine the feasibility of the introduction of this novel concept in real situations.

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MicroGrid Operation and Design Optimization With Synthetic Wins and Solar Resources

Cited by 34 publications

References 21 publications

The Optimization of Microgrids Operation through a Heuristic Energy Management Algorithm

The Optimization of Microgrids Operation through a Heuristic Energy Management Algorithm

Implementation of an Optimal Energy Management within Islanded Microgrid

Analysis of European policies and incentives for microgrids

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