An improved control method of battery energy storage system for hourly dispatch of photovoltaic power sources

Daud, Muhamad Zalani; Mohamed, Azah; Hannan, M. A.

doi:10.1016/j.enconman.2013.04.013

Cited by 128 publications

(74 citation statements)

References 21 publications

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“…These include smoothing of output power fluctuation [7]- [12], storage for dispatch at times with more favourable tariffs [13] and peak shaving [14]. Recently, BESS are also finding applications in grid frequency regulation, grid stabilization, provision of spinning reserve, load levelling and others [15].…”

Section: Igbtmentioning

confidence: 99%

Real-time testing of energy storage systems in renewable energy applications

Sattar¹,

Al‐Durra²,

Muyeen³

2015

Sustainable Energy Technologies and Assessments

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Section: Igbtmentioning

confidence: 99%

Real-time testing of energy storage systems in renewable energy applications

Sattar¹,

Al‐Durra²,

Muyeen³

2015

Sustainable Energy Technologies and Assessments

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“…In the field of operation control, a power management mechanism for grid PV with BESS is designed [9]. An optimization scheme for an energy dispatch schedule is presented in [10][11][12]. These studies mainly focused on the suitable capacity allocation, the minimum economic cost, and optimizing operation control for PV-battery system.…”

Section: Introductionmentioning

confidence: 99%

Typical Daily Power Curve Mining for Energy Storage Systems under Smoothing Power Fluctuation Scenarios

Yang

Ren

et al. 2018

Mathematical Problems in Engineering

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Under the application scenario of smoothing photovoltaic (PV) power fluctuation, a novel typical daily power curve mining method is developed for a battery energy storage system (BESS) that utilizes the power probability distribution and Bloch spherical quantum genetic algorithm. The charging/discharging of BESS is analyzed by applying fuzzy-means clustering techniques. In the mining approach, at any sample time, those distribution intervals containing concentrated power points are individually located by using probability distribution information and Bloch spherical quantum genetic algorithm. Character power for the specified interval can also be determined using Bloch spherical quantum genetic algorithm. Next, a roulette principal is employed, to determine one value from the character power data as a typical value of the mined power curve at the sample time. By connecting the typical power at each sample time, the typical daily power curve for BESS is achieved. Based on typical power curve, decision-maker can master the important operating parameters of BESS and analyze optimal capacity allocation. By error evaluation indexes between the mined typical daily power curve and power curve under different weather patterns, the simulation results verify that the mined power curve can address the operating power of the BESS under different weather patterns.

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“…Due to the intermittent of the wind and solar power, the stability of the power grid that contains large capacity of RE has become a severe problem. Energy storage devices like batteries [2,3], flywheels [4] and pumped storage units (PSUs) [5] are indispensable in RE-connected power systems to mitigate this problem. Among these, PSUs might be the most economical and mature tool for power storage [6].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Start-Up Method for Pumped Storage Units Based on a Novel Artificial Sheep Algorithm

Wang

Lai

et al. 2018

Energies

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Pumped storage units (PSUs) are an important storage tool for power systems containing large-scale renewable energy, and the merit of rapid start-up enable PSUs to modulate and stabilize the power system. In this paper, PSU start-up strategies have been studied and a new integrated start-up method has been proposed for the purpose of achieving swift and smooth start-up. A two-phase closed-loop startup strategy, composed of switching Proportion Integration (PI) and Proportion Integration Differentiation (PID) controller is designed, and an integrated optimization scheme is proposed for a synchronous optimization of the parameters in the strategy. To enhance the optimization performance, a novel meta-heuristic called Artificial Sheep Algorithm (ASA) is proposed and applied to solve the optimization task after a sufficient verification with seven popular meta-heuristic algorithms and 13 typical benchmark functions. Simulation model has been built for a China's PSU and comparative experiments are conducted to evaluate the proposed integrated method. Results show that the start-up performance could be significantly improved on both indices on overshoot and start-up, and up to 34%-time consumption has been reduced under different working condition. The significant improvements on start-up of PSU is interesting and meaning for further application on real unit.

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An improved control method of battery energy storage system for hourly dispatch of photovoltaic power sources

Cited by 128 publications

References 21 publications

Real-time testing of energy storage systems in renewable energy applications

Real-time testing of energy storage systems in renewable energy applications

Typical Daily Power Curve Mining for Energy Storage Systems under Smoothing Power Fluctuation Scenarios

An Integrated Start-Up Method for Pumped Storage Units Based on a Novel Artificial Sheep Algorithm

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