Multiple community energy storage planning in distribution networks using a cost-benefit analysis

Sardi, Junainah; Mithulananthan, Nadarajah; Gallagher, Marcus; Hung, Duong Quoc

doi:10.1016/j.apenergy.2016.12.144

Cited by 141 publications

(74 citation statements)

References 25 publications

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“…In most of the articles, capital recovery factor is adopted to calculate the net present value of equal annual cash flows and economic objectives. Moreover, discounted payback period and benefit-cost ratio also can be taken into consideration [92].…”

Section: Methods To Deal With Multiple Time Scalesmentioning

confidence: 99%

“…Economic objectives ·Minimization of investment and operation costs [23], [24], [25], [26], [30], [31], [38], [42], [46]... ·Minimization of network losses [34], [40], [41], [56], [63], [73], [84], [91], [102]... ·Maximization of net profit value [33], [44], [72], [81], [84], [92], [97], [103]...…”

Section: Objectives Of Ads Planning Modelmentioning

confidence: 99%

“…Although more than 53% of these single objective models also involve the technical and/or environmental factors, all of these factors are converted to economic ones by economic parameters, such as reliability costs [24,31,32,34,36,[41][42][43]56,60,63,64,66,71,75,76,87,91] and emission costs [25,[34][35][36]48,53,66,75,81,86,92,94,107]. However, these economic parameters are always experience dependent, and may affect the objectivity of planning solutions.…”

Section: Objectives Of Ads Planning Modelmentioning

confidence: 99%

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A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

Wang

Chen³

et al. 2017

Energies

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Due to the widespread deployment of distributed energy resources (DERs) and the liberalization of electricity market, traditional distribution networks are undergoing a transition to active distribution systems (ADSs), and the traditional deterministic planning methods have become unsuitable under the high penetration of DERs. Aiming to develop appropriate models and methodologies for the planning of ADSs, the key features of ADS planning problem are analyzed from the different perspectives, such as the allocation of DGs and ESS, coupling of operation and planning, and high-level uncertainties. Based on these analyses, this comprehensive literature review summarizes the latest research and development associated with ADS planning. The planning models and methods proposed in these research works are analyzed and categorized from different perspectives including objectives, decision variables, constraint conditions, and solving algorithms. The key theoretical issues and challenges of ADS planning are extracted and discussed. Meanwhile, emphasis is also given to the suitable suggestions to deal with these abovementioned issues based on the available literature and comparisons between them. Finally, several important research prospects are recommended for further research in ADS planning field, such as planning with multiple micro-grids (MGs), collaborative planning between ADSs and information communication system (ICS), and planning from different perspectives of multi-stakeholders.

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Section: Methods To Deal With Multiple Time Scalesmentioning

confidence: 99%

Section: Objectives Of Ads Planning Modelmentioning

confidence: 99%

Section: Objectives Of Ads Planning Modelmentioning

confidence: 99%

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A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

Wang

Chen³

et al. 2017

Energies

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“…Need of balancing the electricity consumption and energy system have also paved the way of CES installation tremendously . The role of CES for shifting the load demand and energy surplus in real‐time framework has been investigated in Parra et al The performance and cost‐benefits analysis with CES has been done in Sardi et al considering the time‐shift impact of solar PV power generations. Optimal allocation of multiple CES system in active distribution network for economic assessment has been done in Liu et al Optimal design of community battery energy storage through discrete continuous particle swarm optimization considering the impact of prosumers has been discussed in El‐Batawy and Morsi .…”

Section: Introductionmentioning

confidence: 99%

Energy efficiency and peak load management via CVR and distributed energy storage in active distribution grid

Singh

Pamshetti

2020

Int Trans Electr Energ Syst

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Summary Energy conservation through voltage reduction and distributed energy storage (DES) technology emerged as a potential candidate for peak load relief in distribution grid. However, lack of coordination between network controls such as conservation voltage reduction (CVR) and assets (DES) may cause detrimental impact on smart grid operations. Therefore, this paper reports on the need for coordination of CVR and DES for maximizing the benefits of both approaches. The impact of integrated operation of CVR devices and DES on energy saving and peak demand reduction have been investigated. The CVR scheme has been implemented using discrete gravitational search algorithm‐driven Volt‐ampere reactive (VAR) optimization (VVO) in the presence of distributed energy sources (DER). Such a smart grid‐enabled centralized CVR scheme has been proposed to be deployed in the grid and integrated with a community energy storage (CES) as DES. The main task of the VVO engine is to minimize the total power demand through optimal settings of Volt‐VAR control (VVC) devices. In order to demonstrate the benefits of integrated operation of CVR and CES, the studies have been carried out in three cases, namely without CVR, VVO‐based CVR, and CVR with CES in presence of both nonrenewable and renewable (wind) type DERs. Moreover, the impact of the proposed method has not only been demonstrated on hourly varying load of the year but during peak load hour also. Besides, the techno‐economic and environmental assessment of combined operation of CES and CVR has been done. The Institute of Electrical and Electronics Engineers (IEEE) 123‐bus unbalanced distribution network with the modification to include the DER and CES system apart from CVR devices has been chosen to corroborate the performance of the proposed method. The test results reveal that the proposed integration method of CVR and CES achieve higher peak sharing and energy saving with reduced carbon emission. In addition, the method assists the demand balancing. Besides, the by‐product of CES control strategy has been demonstrated for mitigation of rise in neutral currents.

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“…In another study, a coordinated hierarchical control scheme is presented for static synchronous compensators (STATCOM) and BESS in order to mitigate the overvoltage problem, but, cost/benefit analysis is not performed for the BESS [9]. Cost/benefit analysis is performed in [10] to determine the optimal location and size (without optimal operation) of community energy storage (CES) by considering energy arbitrage, peak power generation, energy loss reduction, upgrade deferral of transmission and distribution (T&D) systems, CO2 emission 4 reduction, and reactive power support. BESS is applied in [11] for peak shaving and smoothing the distribution load profile.…”

Section: Introductionmentioning

confidence: 99%

Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration

et al. 2018

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Early version, also known as pre-print Link to publication from Aalborg University Citation for published version (APA): Jannesar, M. R., Sedighi, A., Savaghebi, M., & Guerrero, J. M. (2018). Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration. Applied Energy, 226, 957-966. https://doi.org/10.1016/j.apenergy.2018.06.036 General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.? Users may download and print one copy of any publication from the public portal for the purpose of private study or research. ? You may not further distribute the material or use it for any profit-making activity or commercial gain ? You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us at vbn@aub.aau.dk providing details, and we will remove access to the work immediately and investigate your claim. can mitigate these disadvantages and as a result, improve the system operation.For this purpose, battery energy storage system is charged when production of photovoltaic is more than consumers' demands and discharged when consumers' demands are increased. Since the price of battery energy storage system is high, economic, environmental, and technical objectives should be considered together for its placement and sizing. In this paper, optimal placement, sizing, and daily (24 hours) charge/discharge of battery energy storage system are performed based on a cost function that includes energy arbitrage, environmental emission, energy losses, transmission access fee, as well as capital and maintenance costs of battery energy storage system. All simulations are carried out in DIgSILENT and MATLAB linked together. Results show that by using the proposed approach, overvoltage 2 and energy losses are decreased, reverse power flow is prevented, environmental emission is reduced, and economic profit is maximized.

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Multiple community energy storage planning in distribution networks using a cost-benefit analysis

Cited by 141 publications

References 25 publications

A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

Energy efficiency and peak load management via CVR and distributed energy storage in active distribution grid

Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration

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