Load levelling and loss reduction by ES in a primary distribution system with PV units

Sardi, Junainah; Mithulananthan, Nadarajah; Hung, Duong Quoc; Bhumkittipich, Krischonme

doi:10.1109/isgt-asia.2015.7387073

Cited by 4 publications

(8 citation statements)

References 15 publications

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“…It is also shown that distributed Energy Storage allocation can yield almost twice loss reductions higher than centralized Energy Storage placement. 6 R. Shaw et al 7 show that domestic loads shifting to the off-peak hours decrease the distribution network losses significantly. The proposed model reduces energy loss without reducing of the energy usage.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Huang and Billinton evaluate the impact of using energy storage resources on the transmission line loss reduction. Sardi et al analyze energy loss reduction in a radial distribution network with PV units through load leveling by using Energy Storage. Energy Storage allocation closed to the load achieves an energy loss reduction more than the 1 near the substation.…”

Section: Introductionmentioning

confidence: 99%

“…This capacity is adequate for bring the system load factor close to unity. It is also shown that distributed Energy Storage allocation can yield almost twice loss reductions higher than centralized Energy Storage placement . R. Shaw et al show that domestic loads shifting to the off‐peak hours decrease the distribution network losses significantly.…”

Section: Introductionmentioning

confidence: 99%

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Cost-worth analytical assessment of demand-side management (DSM) programs, considering energy losses with the structural generation decomposition: A market-based approach

Ghaznavi

Hajiabadi

2018

Int Trans Electr Energ Syst

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Summary This paper presents an integrated framework for the cost‐worth analytical assessment of demand‐side management (DSM) programs, considering energy losses. This goal is achieved in 3 steps. At first, after solving the market problem, the sensitivity of each line flow to the each load bus is analyzed by using the structural generation decomposition, considering network congestion. Then, the Loss Index is analytically defined by using the sensitivity factors. Finally, the energy loss and the cost variation due to applying DSM programs are analytically decomposed. The energy loss variation is divided up into 2 terms: the energy loss variation at pick hours and off‐pick period. The total cost variation consists of 3 terms: the cost of energy losses, market, and DSM activities. The proposed approach can be used to indicate the appropriate busses and network for applying DSM programs considering the energy losses. The numerical results of Institute of Electrical and Electronics Engineers 24‐bus test system demonstrate the efficiency of the method.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cost-worth analytical assessment of demand-side management (DSM) programs, considering energy losses with the structural generation decomposition: A market-based approach

Ghaznavi

Hajiabadi

2018

Int Trans Electr Energ Syst

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“…In addition, the influence of CES charging on the network energy loss is neglected in this study as the energy loss due to charging is far less than that caused by discharging. The study [122] also showed that any CES unit located closer to the load and PV unit can lead to a lower network loss.…”

Section: Proposed Analytical Allocation Strategymentioning

confidence: 84%

“…In the problem formulation, the weighted distance is the distance between the COG and the bus, which is multiplied by the total energy required by the load and produced by PV at the specific bus. It is reported that ES units located at substation (i.e., bus 1) do not reduce energy losses [122]. Hence, the location at substation is not included as a candidate location for CES.…”

Section: Proposed Analytical Allocation Strategymentioning

confidence: 99%

Smart development of community energy storage in power grid with PV units

Sardi¹

Self Cite

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Energy storage (ES) system has become an inevitable element in smart distribution network (DN) due to massive deployment of renewable energy resources (RERs). ES is capable of solving a number of operational problems in distribution network due to intermittent characteristic of the RERs while providing numerous other benefits such as ancillary services, peak reduction, reliability improvement etc. Among various type of RERs, community level distributed photovoltaic (PV) is the fastest-growing power generation system due to its technological advancement; declining price and better fit into consumer area. Thus, impact of intermittent PV output power is more severe in community level where the consumption is happening. Hence, the idea of bringing ES close to the source of the problem has led to the development of concept called community energy storage (CES). Most available studies claimed that the deployment of CES is more effective in alleviating the impact of high PV penetration while offering more benefits than the centrally located substation storage if properly planned and effectively controlled. However, comprehensive review found that very scant analytical evidences were shown to prove the statement. Besides, currently CES allocation is determined based on maximizing specific benefit while neglecting others benefits of its deployment. Very scarce previous works provided a complete allocation

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A review on optimization strategies integrating renewable energy sources focusing uncertainty factor – Paving path to eco-friendly smart cities

Mahmood

Javaid

Ahmed

et al. 2021

Sustainable Computing: Informatics and Systems

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Load levelling and loss reduction by ES in a primary distribution system with PV units

Cited by 4 publications

References 15 publications

Cost-worth analytical assessment of demand-side management (DSM) programs, considering energy losses with the structural generation decomposition: A market-based approach

Cost-worth analytical assessment of demand-side management (DSM) programs, considering energy losses with the structural generation decomposition: A market-based approach

Smart development of community energy storage in power grid with PV units

A review on optimization strategies integrating renewable energy sources focusing uncertainty factor – Paving path to eco-friendly smart cities

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