Energy Storage Sizing and Probabilistic Reliability Assessment for Power Systems Based on Composite Demand

Composite Power System Reliability is defined as the computational procedure that quantifies the probability that the power system will perform the function of delivering electric power to customers adequately, on a continuous basis and with an acceptable quality. This definition leaves many details undefined and exemplifies the ambiguity in reliability analysis. The increasing deployment of wind and PV creates additional uncertainties that make reliability analysis a rather complex issue. Because of increased uncertainty the need for composite reliability analysis and utilization of results in power system planning is critical. New approaches are emerging for dealing with these problems from the operational point of view, including demand response programs, tapping on customer and distributed resource flexibility and new control approaches. The key question to be addressed is: how the new operational paradigms affect composite power system reliability. This paper presents the ongoing work of the IEEE Composite System Reliability Task Force of the IEEE PES Reliability, Risk, Probability Application (RRPA) Subcommittee.

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“…A fivestate model provides a reasonable WF model for CSR analysis [42]. Otherwise more sophisticated approaches must be used [70].…”

Section: General Approachesmentioning

confidence: 99%

Composite Power System Reliability with Renewables and Customer Flexibility

Meliopoulos

Papic²,

Tindemans

et al. 2022

2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

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“…The authors in [14][15][16][17][18] consider optimization methods to determine the best BESS size. The optimization methods are mainly based on economic factors, that ultimately result in the maximization of profit and involve complex and intensive algorithms.…”

Section: Introductionmentioning

confidence: 99%

“…The strategy in this case is highly dependent on the availability of wind power and is clearly not applicable to the Maltese scenario where all the RES generation is from PVs. Alamri et al propose an optimized BESS sizing strategy in [18] that minimizes costs for the central generation (production, startup and shutdown) in addition to ESS investment costs. However, the distribution network was not explicitly modeled, as the sizing strategy was only based on collective electricity demand and generation readings.…”

Section: Introductionmentioning

confidence: 99%

Utility-Scale Storage Integration in the Maltese Medium-Voltage Distribution Network

Micallef

Staines

Cassar³

2022

Energies

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Deployment of renewable energy sources in Malta is limited by grid integration constraints. Photovoltaic (PV) systems pose a significant risk to grid stability due to their inherent intermittency and result in overvoltages at the medium-voltage and low-voltage networks. Investments in utility-scale battery energy storage systems (BESS) will facilitate further deployment of renewables and will help to achieve energy security. This study proposed a novel sizing strategy for utility-scale battery energy storage systems (BESS) based only on technical considerations to find the minimum required storage capacity based on historical electricity demand and PV generation. The modeling and simulation were constrained to a section of the Gozitan 11 kV electrical distribution network and the results showed that the utility-scale storage can reduce the impact of PV systems on the grid infrastructure by avoiding reverse power flows and improve the local energy security by reducing the peak electricity demand. The central BESS and the decentralized coordinated BESS with “equal sizing” stored 3.4 MWh while the decentralized coordinated BESSs with “optimal sizing” stored 5.307 MWh. In all three cases, the evening peak demand was reduced by 30.5% from 2.62 MW down to a defined limit of 1.82 MW. From the results presented in this paper, the “optimal sizing” strategy showed that the BESSs have most benefit when installed next to the local PV generation. Hence, by deploying coordinated utility-scale BESSs sized according to the PV generation potential, it is expected that the penetrations of PV generation can be increased even with the present distribution network infrastructure.

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