Energy storage for power flow management and voltage control on an 11kV UK distribution network

Wade, Neal; Taylor, Philip; Lang, Peter; Svensson, J.

doi:10.1049/cp.2009.1007

Cited by 27 publications

(16 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[52] and Sasaki et al [54] showed the impact of V2G in limiting voltage fluctuations and improving power quality in the electric grid. In related studies [54][55][56] Prasomthong et al [57] presented optimal placement of V2G enabled charging station in a radial distribution network and considered the net benefit of the V2G model. Khalkhali et al [58] proposed an optimal placement method for a V2G enabled charging station in electric grid.…”

Section: Vehicle-to-grid (V2g) Technologymentioning

confidence: 99%

Review on Optimal Siting of Electric Vehicle Charging Infrastructure

Galadima

Zarma

Aminu

2019

JSRR

View full text Add to dashboard Cite

Concerns about the need for clean energy and the need to reduce green-house gases have led researchers and engineers to explore adoption of electric vehicle technology. Electric vehicles hold a promising future due to their efficiency, low maintenance cost and zero carbon emission. Unfortunately, due to metric range drawbacks associated with electric vehicles, large scale adoption of electric vehicles still remains relatively low. To solve this issue of range anxiety, optimal placement and sizing methods of electric vehicle infrastructure is essential. This paper presents a review of optimal siting of electric vehicle charging infrastructure. It discusses impacts of electric vehicle charging loads on the distribution network and how large scale electric vehicle penetration would affect the grid. Further, the benefits of electric vehicles on the distribution network as well as the integration of renewable energy resources are presented.

show abstract

Section: Vehicle-to-grid (V2g) Technologymentioning

confidence: 99%

Review on Optimal Siting of Electric Vehicle Charging Infrastructure

Galadima

Zarma

Aminu

2019

JSRR

View full text Add to dashboard Cite

show abstract

“…This can be expressed as the maximum depth of discharge . Therefore, the stored energy is controlled between a minimum level and its rated capacity: (5) Finally, each storage facility is also controlled to inject or absorb reactive power such that the apparent power output at each period within the planning horizon does not exceed the corresponding apparent power rating :…”

Section: A Planning Stage "Multi-period Ac Opf"mentioning

confidence: 99%

“…Indeed, network issues could be actively managed in real-time by storing the excess of DG and releasing it later when constraints are not binding [4]. Storage facilities could also be controlled to absorb or inject reactive power within the rating of the power conversion system, allowing further flexibility to manage voltages [5].…”

Section: Introductionmentioning

confidence: 99%

Optimal Sizing and Control of Energy Storage in Wind Power-Rich Distribution Networks

Alnaser

Ochoa

2016

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

This paper presents a planning framework to find the minimum storage sizes (power and energy) at multiple locations in distribution networks to reduce curtailment from renewable distributed generation (DG), specifically wind farms, while managing congestion and voltages. A two-stage iterative process is adopted in this framework. The first stage uses a multi-period AC optimal power flow (OPF) across the studied horizon to obtain initial storage sizes considering hourly wind and load profiles. The second stage adopts a high granularity minute-by-minute control driven by a mono-period bi-level AC OPF to tune the first-stage storage sizes according to the actual curtailment. Congestion and voltages are managed through the optimal control of storage (active and reactive power), on-load tap changers (OLTCs), DG power factor, and DG curtailment as last resort. The proposed storage planning framework is applied to a real 33-kV network from the North West of England over one week. The results highlight that by embedding high granularity control aspects into planning, it is possible to more accurately size storage facilities. Moreover, intelligent management of further flexibility (i.e., OLTCs, storage, and DG power factor control) can lead to much smaller storage capacities. This, however, depends on the required level of curtailment.Index Terms-Active network management, distributed generation, energy storage, generation curtailment, optimal power flow, wind power. Luis F. Ochoa (S'01-M'07-SM'12) received the B.Eng. degree from UNI, Lima, Peru, in 2000 and the M.Sc. and Ph.D. degrees from UNESP, Ilha Solteira, Brazil, in 2003 and 2006, respectively.He is a Senior Lecturer in Smart Distribution Networks at The University of Manchester, Manchester, U.K. His current research interests include network integration of distributed energy resources and future low-carbon distribution networks.

show abstract

“…Grid connected energy storage can provide a variety of network services, including voltage control and powerflow management, in future electrical power systems [3,[7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. These can be summarised as follows:…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of electrical energy storage demonstration projects on UK distribution networks

et al. 2015

View full text Add to dashboard Cite

h i g h l i g h t sResults of an EES system demonstration project carried out in the UK. Approaches to the design of trials for EES and observation on their application. A formalised methodology for analysis of smart grids trials. Validated models of energy storage. Capability of EES to connect larger quantities of heat pumps and PV is evaluated. a b s t r a c tThe UK government's CO 2 emissions targets will require electrification of much of the country's infrastructure with low carbon technologies such as photovoltaic panels, electric vehicles and heat pumps. The large scale proliferation of these technologies will necessitate major changes to the planning and operation of distribution networks. Distribution network operators are trialling electrical energy storage (EES) across their networks to increase their understanding of the contribution that it can make to enable the expected paradigm shift in generation and consumption of electricity.In order to evaluate a range of applications for EES, including voltage control and power flow management, installations have taken place at various distribution network locations and voltage levels. This article reports on trial design approaches and their application to a UK trial of an EES system to ensure broad applicability of the results. Results from these trials of an EES system, low carbon technologies and trial distribution networks are used to develop validated power system models. These models are used to evaluate, using a formalised methodology, the impact that EES could have on the design and operation of future distribution networks.

show abstract

Energy storage for power flow management and voltage control on an 11kV UK distribution network

Cited by 27 publications

References 5 publications

Review on Optimal Siting of Electric Vehicle Charging Infrastructure

Review on Optimal Siting of Electric Vehicle Charging Infrastructure

Optimal Sizing and Control of Energy Storage in Wind Power-Rich Distribution Networks

Design and analysis of electrical energy storage demonstration projects on UK distribution networks

Contact Info

Product

Resources

About