Optimal design of standalone micro-grid considering reliability and investment costs

Jahangir, Hamidreza; Ahmadian, Ali; Golkar, Masoud Aliakbar; Fowler, Michael; Elkamel, A.

doi:10.1049/cp.2016.0683

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…where P L_t (h), P L_rand (h) and P L_cb (h) are hourly timevarying component [27], stochastic component [31], and controllable component [32], respectively. P L_t (h) and P L_rand (h) are specified as (8), (9).…”

Section: Comprehensive Load Modelmentioning

confidence: 99%

“…It should be noted that, hourly load variation parameters are given by time interval of 15 minutes in [37] and the parameters of first 15 minutes of every hour are selected in this paper as P hour (h) of different load points to model the behavioral patterns of energy consumers. Expectation value µ LOAD and standard deviation σ LOAD of load uncertainty component, referred in (9) are assumed as 0 and ten percent of hourly load, respectively. Then the profile of CL in a year is worked out and shown in Fig.…”

Section: Case Studies a Test System And Calculating Assumptionsmentioning

confidence: 99%

“…The associate editor coordinating the review of this article and approving it for publication was Eklas Hossain. economic efficiency and reduction of fossil fuel usage [7], [8], standalone MGs are subject to more probable interruptions of power supply [9]. Therefore, energy storage systems (ESSs) have been playing an important role in the power supply-demand balance, mitigation of fluctuation of renewable powers and also the power supply continuity, considering that there is no power support from main grid for standalone MG [10].…”

Section: Introductionmentioning

confidence: 99%

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Reliability Varying Characteristics of PV-ESS-Based Standalone Microgrid

et al. 2019

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Reliability is of critical importance for the microgrid (MG) and deserved more attention. Aiming at photovoltaics (PV) and energy storage system (ESS) based MG, the microturbine (MT), PV, ESS and comprehensive load (CL) which is composed of hourly time-varying component, stochastic component, and controllable component, are chronologically modeled and combined with model of load shedding minimization and sequential Monte Carlo (SMC) simulation algorithm. Then, the reliability assessment framework is developed and employed in the comprehensive case studies. Firstly, varying characteristics of reliability indices, including loss of load probability (LOLP), average service availability index (ASAI), system average interruption duration index (SAIDI), system average interruption frequency index (SAIFI) and customer average interruption duration index (CAIDI), over PV penetration are investigated, and the surge effect of SAIFI (SE-SAIFI) is especially put forward and studied, followed by the principle of PV capacity decision considering SE-SAIFI. Secondly, the clear pictures of reliability profiles over ESS sizes are depicted and analyzed, following with a novel method to reasonably decide ESS sizes based on the definition of expected hourly redundant power (EHRP). At last, reliability indices of multiple scenarios with different percentages of controllable load are calculated and the benefits of load management are analyzed in the viewpoint of reliability of standalone MG. Results of the case studies also confirm the necessities of reliability assessment during the MG planning and size optimization, and the validity of the methodologies developed in this work.INDEX TERMS Standalone microgrid, energy storage system, sequential Monte Carlo simulation, reliability varying characteristics.

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Section: Comprehensive Load Modelmentioning

confidence: 99%

Section: Case Studies a Test System And Calculating Assumptionsmentioning

confidence: 99%