An integrated approach for distributed energy resource short-term scheduling in smart grids considering realistic power system simulation

Silva, M.; Morais, Hugo; Vale, Zita

doi:10.1016/j.enconman.2012.04.021

Cited by 118 publications

(57 citation statements)

References 33 publications

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“…• The proposed algorithm does not working with a set of potential solutions as genetic algorithms [19,22] or particle swarm optimization algorithms [24] do (significant approaches which has been reported in literature for minimization of the cost of produced energy). Due to this facet, the proposed algorithm satisfies an important aim, i.e.…”

Section: Simulation Resultsmentioning

confidence: 99%

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The Optimization of Microgrids Operation through a Heuristic Energy Management Algorithm

Tomoiagă

Chindris

Sumper

et al. 2013

AEF

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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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Section: Simulation Resultsmentioning

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

View full text Add to dashboard Cite

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“…An integrated day-ahead and hour-ahead (intraday) schedule for dealing with DERs uncertainty [21], maximizing the retailer's profit under carbon emissions penalties [22], DERs scheduling with recourse to stochastic programming [23] and control strategies [24] has been studied. In [25], a simulator for hour-ahead and real-time scheduling of DERs is proposed, considering the minimization of operation costs. Furthermore, real-time adjustments of DERs taking into account the operation costs [26,27], DERs profit [28], ancillary services [19,[29][30][31] and control strategies [24] are crucial to maintain the system balance.…”

Section: Literature Review and Specific Contributionsmentioning

confidence: 99%

Energy and Reserve under Distributed Energy Resources Management—Day-Ahead, Hour-Ahead and Real-Time

et al. 2017

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Abstract:The increasing penetration of distributed energy resources based on renewable energy sources in distribution systems leads to a more complex management of power systems. Consequently, ancillary services become even more important to maintain the system security and reliability. This paper proposes and evaluates a generic model for day-ahead, intraday (hour-ahead) and real-time scheduling, considering the joint optimization of energy and reserve in the scope of the virtual power player concept. The model aims to minimize the operation costs in the point of view of one aggregator agent taking into account the balance of the distribution system. For each scheduling stage, previous scheduling results and updated forecasts are considered. An illustrative test case of a distribution network with 33 buses, considering a large penetration of distribution energy resources allows demonstrating the benefits of the proposed model.

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“…The case study is conducted based on a distribution network with 33 buses [31], taking into account a scenario of high penetration of distributed energy resources [32], as shown in Fig. 2.…”

Section: Case Characterizationmentioning

confidence: 99%

Cost allocation model for distribution networks considering high penetration of distributed energy resources

Soares

Pereira

Morais

et al. 2015

Electric Power Systems Research

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a b s t r a c tThe high penetration of distributed energy resources (DER) in distribution networks and the competitive environment of electricity markets impose the use of new approaches in several domains. The network cost allocation, traditionally used in transmission networks, should be adapted and used in the distribution networks considering the specifications of the connected resources. The main goal is to develop a fairer methodology trying to distribute the distribution network use costs to all players which are using the network in each period. In this paper, a model considering different type of costs (fixed, losses, and congestion costs) is proposed comprising the use of a large set of DER, namely distributed generation (DG), demand response (DR) of direct load control type, energy storage systems (ESS), and electric vehicles with capability of discharging energy to the network, which is known as vehicle-to-grid (V2G). The proposed model includes three distinct phases of operation. The first phase of the model consists in an economic dispatch based on an AC optimal power flow (AC-OPF); in the second phase Kirschen's and Bialek's tracing algorithms are used and compared to evaluate the impact of each resource in the network. Finally, the MW-mile method is used in the third phase of the proposed model. A distribution network of 33 buses with large penetration of DER is used to illustrate the application of the proposed model.

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An integrated approach for distributed energy resource short-term scheduling in smart grids considering realistic power system simulation

Cited by 118 publications

References 33 publications

The Optimization of Microgrids Operation through a Heuristic Energy Management Algorithm

The Optimization of Microgrids Operation through a Heuristic Energy Management Algorithm

Energy and Reserve under Distributed Energy Resources Management—Day-Ahead, Hour-Ahead and Real-Time

Cost allocation model for distribution networks considering high penetration of distributed energy resources

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