Feasibility Analysis of Centralized Storage Facilities in Isolated Grids

Psarros, Georgios N.; Karamanou, Eleni G.; Papathanassiou, Stavros A.

doi:10.1109/tste.2018.2816588

Cited by 54 publications

(52 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This challenge requires an accurate forecast data method, to reach flexibility in energy management. Accurate prediction of the power system states is very important for the management of microgrids, especially in operational Energies 2020, 13, 1764 3 of 21 decisions, market contracts, and risk management. Data forecasting improves the efficiency of the operation of a microgrid and helps to define the optimal power strategy in advance.…”

Section: Methods For Data Forecast In a Microgridmentioning

confidence: 99%

“…Additionally, the research presented in [12] underlines that the investment cost of a CESS can be approximately two times lower than that required for a DESS. An additional advantage of a CESS is that the cost and benefits of the initial investments are directly distributed between the members of a microgrid [13]. This facilitates the economic inter-calculation and settlement between the users.The study presented in [14] analyses the frequency response of a CESS and a DESS in a microgrid.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

et al. 2020

View full text Add to dashboard Cite

In this paper, an innovative method for managing a smart-community microgrid (SCM) with a centralized electrical storage system (CESS) is proposed. The method consists of day-ahead optimal power flow (DA-OPF) for day-ahead SCM managing and its subsequent evaluation, considering forecast uncertainties. The DA-OPF is based on a data forecast system that uses a deep learning (DL) long short-term memory (LSTM) network. The OPF problem is formulated as a mathematical mixed-integer nonlinear programming (MINLP) model. Following this, the developed DA-OPF strategy was evaluated under possible operations, using a Monte Carlo simulation (MCS). The MCS allowed us to obtain potential deviations of forecasted data during possible day-ahead operations and to evaluate the impact of the data forecast errors on the SCM, and that of unit limitation and the emergence of critical situations. Simulation results on a real existing rural conventional community endowed with a centralized community renewable generation (CCRG) and CESS, confirmed the effectiveness of the proposed operation method. The economic analysis showed significant benefits and an electricity price reduction for the considered community if compared to a conventional distribution system, as well as the easy applicability of the proposed method due to the CESS and the developed operating systems.Energies 2020, 13, 1764 2 of 21 Centralized and Decentralised Energy Storage SystemFor an SCM, there are two main common options to place storage units-a centralised energy storage system (CESS) and a decentralised energy storage system (DESS). Existing research deals with CESS and DESS, describing their useful properties, limitations, and applications.Generally, energy storage systems (ESSs) are used in microgrids to compensate the intermittent nature of RE, to improve the RE penetration level and to grow the self-consumption rate, reducing dependence on the grid [6]. The CESS represents a central ESS that is directly operated by the energy management system (EMS) of a microgrid. A DESS represents numerous small ESSs allocated in a microgrid. They can be operated by local users, by aggregators, or by the central EMS. The CESS increases the overall efficiency and the resiliency of the microgrid [7], whereas, on the other side, the DESS maximises the local impact of ESSs to adjust to local load profiles [8].According to the study presented in [9], the deployment of a DESS reduces the power losses in the distribution network and can support the load demand with a rapid response [10]. Nonetheless, the deployment of a DESS needs an appropriate mature infrastructure and a control mechanism, both of which are more expensive and complex than those required in the case of a CESS.According to [1], for the same operating conditions of the photovoltaics (PV) generation and ESS capacity, a CESS exhibits a better (of about 17%) reduction of the grid power use, compared to a DESS. In [11], the authors revealed that by using a CESS for the operation of a microgrid, lower operational costs c...

show abstract

Section: Methods For Data Forecast In a Microgridmentioning

confidence: 99%

mentioning

confidence: 99%

Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Psarros et al [24] investigated the operation of HESs using a MILP. BESS sizing is deeply discussed, concluding that this element is a key device for the provision of fast energy reserve.…”

Section: Literature Reviewmentioning

confidence: 99%

“…To determine the power dispatch of the diesel unit, the parameter P a D is defined according to (24):…”

Section: Diesel Generator Modelmentioning

confidence: 99%

Day-Ahead Optimal Battery Operation in Islanded Hybrid Energy Systems and Its Impact on Greenhouse Gas Emissions

et al. 2019

View full text Add to dashboard Cite

This paper proposes a management strategy for the daily operation of an isolated hybrid energy system (HES) using heuristic techniques. Incorporation of heuristic techniques to the optimal scheduling in day-head basis allows us to consider the complex characteristics of a specific battery energy storage system (BESS) and the associated electronic converter efficiency. The proposed approach can determine the discharging time to perform the load peak-shaving in an appropriate manner. A recently proposed version of binary particle swarm optimization (BPSO), which incorporates a time-varying mirrored S-shaped (TVMS) transfer function, is proposed for day-ahead scheduling determination. Day-ahead operation and greenhouse gas (GHG) emissions are studied through different operating conditions. The complexity of the optimization problem depends on the available wind resource and its relationship with load profile. In this regard, TVMS-BPSO has important capabilities for global exploration and local exploitation, which makes it a powerful technique able to provide a high-quality solution comparable to that obtained from a genetic algorithm.Incorporation of ESS can improve the accommodation of renewable generation while reducing greenhouse gas (GHG) emissions. As an example, incorporation of renewable power combined with ESS in California could reduce carbon dioxide (CO 2 ) emissions from 90% to 72%, whereas renewable power curtailment reduces from 33% to 9%. In the case of Texas, CO 2 emissions could be reduced from 58% to 54% and renewable power curtailment could be reduced from 3% to 0.3% [4]. Combination of carbon capture and storage devices with conventional generation units is also an option to reduce GHG emissions. However, the combination of renewable generation with ESS can be energetically more effective [5].Historically, the acquisition costs of a battery energy storage system (BESS) have been considerably high, limiting their economic performance and consequently their mass adoption. However, when very low GHG emissions are required, BESS can be a critical device to achieve such an ambitious goal.In the case of energy provision for an isolated hybrid energy system (HES), incorporation of BESS becomes profitable due to the fact that the fuel consumption and operating hours of a conventional generator are considerably reduced. In the case of a grid-connected HES, retailing rates and feed-in tariffs as well as favorable resources are crucial for their successful adoption [6].Heuristic techniques are commonly used to carry out the optimal sizing of a specific HES. Consequently, some of them have been implemented in computational programs such as HOMER Pro ® [7], iHOGA ® [8], and Hybrid2 ® [9], among others. Dispatch strategies implemented in most of these tools are based on load following and cycle charging concepts. Load following consists of generating power from conventional units only to satisfy net load (NL), and this approach is frequently suggested in a HES with high share of renewable power, which is much h...

show abstract

“…They are generally systems of limited size (with peak demand typically not exceeding some hundreds of MWs for the largest of them [1,2]) and low inertia, lacking interconnections to large mainland grids, being thus vulnerable to disturbances, such as the unexpected loss of generation, be it thermal or RES units [3,4]. Hence, the integration of intermittent renewables is severely limited by security considerations, as well as other technical constraints, related to the characteristics and management of conventional generation [5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Comparative Assessment of Priority Listing and Mixed Integer Linear Programming Unit Commitment Methods for Non-Interconnected Island Systems

Psarros

Papathanassiou

2019

Energies

Self Cite

View full text Add to dashboard Cite

The generation management concept for non-interconnected island (NII) systems is traditionally based on simple, semi-empirical operating rules dating back to the era before the massive deployment of renewable energy sources (RES), which do not achieve maximum RES penetration, optimal dispatch of thermal units and satisfaction of system security criteria. Nowadays, more advanced unit commitment (UC) and economic-dispatch (ED) approaches based on optimization techniques are gradually introduced to safeguard system operation against severe disturbances, to prioritize RES participation and to optimize dispatch of the thermal generation fleet. The main objective of this paper is to comparatively assess the traditionally applied priority listing (PL) UC method and a more sophisticated mixed integer linear programming (MILP) UC optimization approach, dedicated to NII power systems. Additionally, to facilitate the comparison of the UC approaches and quantify their impact on systems security, a first attempt is made to relate the primary reserves capability of each unit to the maximum acceptable frequency deviation at steady state conditions after a severe disturbance and the droop characteristic of the unit’s speed governor. The fundamental differences between the two approaches are presented and discussed, while daily and annual simulations are performed and the results obtained are further analyzed.

show abstract

Feasibility Analysis of Centralized Storage Facilities in Isolated Grids

Cited by 54 publications

References 41 publications

Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

Day-Ahead Optimal Battery Operation in Islanded Hybrid Energy Systems and Its Impact on Greenhouse Gas Emissions

Comparative Assessment of Priority Listing and Mixed Integer Linear Programming Unit Commitment Methods for Non-Interconnected Island Systems

Contact Info

Product

Resources

About