Establishing a rule base for a hybrid ES/XPS approach to load management

With the increased environmental concern, the photovoltaic (PV) generation capacity is growing in today's power systems. As the PV penetration rate increases, the intermittency and uncertainty of PV systems will cause frequency regulation issues. When rapid fluctuations take place, the system requires fast responding regulation to recover the frequency within a short period of time. Traditional power plants with slow dynamics are less capable of tracking the fast-changing regulation signal. In this context, a battery energy storage system (BESS) is considered as an effective regulation source to respond immediately to frequency deviations. This paper addresses the sizing issue of an aggregated BESS by a series of system level performance tests with different BESS penetration rates. The evaluation criteria are the control performance standards 1 and 2. Response effectiveness of the BESS with different levels of disturbances is also analyzed, with comparison to that of the traditional power plants. The proposed BESS aggregation controller is also validated using software simulations and a hardware testbed.Index Terms-Battery energy storage system (BESS), control performance standard 1 (CPS1), control performance standard 2 (CPS2), load frequency control (LFC), sizing sensitivity analysis, virtual power plant (VPP).1949-3053 c 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.Shuaixun Chen (M'13) received the B.S. dual degrees in power engineering and business administration from Wuhan University,

show abstract

“…The CPS1 formulation is shown in (11). During system operations, the CPS1 value is reported every month using a rolling 12-month average.…”

Section: A Cps1 and Cps2 Criteriamentioning

confidence: 99%

“…Various kinds of energy storage systems are discussed in literature. Commonly used storage systems are flywheels [7], battery energy storage systems (BESSs) [8], [9], and hybrid energy storage systems [10], [11]. Recently, electrical vehicles connected to grid are also maneuvered to serve as storage systems [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Penetration Rate and Effectiveness Studies of Aggregated BESS for Frequency Regulation

Chen¹,

Zhang

Gooi

et al. 2016

IEEE Trans. Smart Grid

157

View full text Add to dashboard Cite

show abstract

“…On the other hand, many optimization methods have been developed in the Artificial Intelligence field. There are also some scholars who applied random optimization methods on the economic dispatch problem, such as Simulated Annealing (SA) [8][9][10], Genetic Algorithm (GA) [11][12][13][14][15][16][17], Evolutionary Programming (EP) [18,19], Evolutionary Strategy (ES) [20], Particle Swarm Optimization (PSO) [21][22][23][24][25][26][27], Ant Colony System (ACS) [28][29][30]. These methods are effective optimization techniques with the capability to find the global optimal solution.…”

Section: Introductionmentioning

confidence: 99%

Solve environmental economic dispatch of Smart MicroGrid containing distributed generation system – Using chaotic quantum genetic algorithm

Liao¹

2012

International Journal of Electrical Power & Energy Systems

135

View full text Add to dashboard Cite

“…However, the wind turbine deliberately works below the maximum power output in order to provide double-directional regulation, which will lead to a waste of energy. [52], BESSs [53,54], and hybrid energy storage systems [55,56]. Recently, electrical vehicles connected to grid are also maneuvered to serve as storage systems [57,58].…”

Section: New Resources For Frequency Regulationmentioning

confidence: 99%

Performance studies and energy management of aggregated BESSs for frequency regulation

Zhang¹

View full text Add to dashboard Cite

show abstract

Establishing a rule base for a hybrid ES/XPS approach to load management

Cited by 26 publications

References 4 publications

Penetration Rate and Effectiveness Studies of Aggregated BESS for Frequency Regulation

Penetration Rate and Effectiveness Studies of Aggregated BESS for Frequency Regulation

Solve environmental economic dispatch of Smart MicroGrid containing distributed generation system – Using chaotic quantum genetic algorithm

Performance studies and energy management of aggregated BESSs for frequency regulation

Contact Info

Product

Resources

About