A novel cluster-based spinning reserve dynamic model for wind and PV power reinforcement

Nikolaidis, Pavlos; Poullikkas, Andreas

doi:10.1016/j.energy.2021.121270

Cited by 21 publications

(11 citation statements)

References 36 publications

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“…In order to gain a broad overview regarding the impact of RES in UC scheduling, we first take a look at the results derived from the priority-list schemes. The curtailed renewable energy is weighted by a penalty estimated by Equation ( 25) [38]. This way, RES producers receive the fair payback of the average hourly summed fuel cost (F t ) derived from the conventional generating units.…”

Section: Resultsmentioning

confidence: 99%

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Co‐optimization of active power curtailment, load shedding and spinning reserve deficits through hybrid approach: Comparison of electrochemical storage technologies

Nikolaidis

Poullikkas

2021

IET Renewable Power Gen

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Under the constraints of fossil-fuel reserves depletion and climate change, the expansion of intermittent renewable generation creates a lot of power integration issues which undeniably disturb the overall system stability. Optimally planned, electricity storage systems are capable of managing the variability and uncertainty of renewable energy sources, guaranteeing power balance and ensuring feasible and economical operation. Here, the outcomes derived by a Genetic algorithm-driven priority list approach is provided, which effectively quantifies the impact of intermittent renewable energy sources on total production cost and the benefits of electricity storage. The experimental evaluation on three benchmark scenarios shows that cost improvements exist in terms of thermal generation improvement, lower renewable generation curtailment and load shedding avoidance cost. Zinc-air battery offers the highest net present value at relatively low PV penetration levels. Increased penetration levels favour Li-ion batteries followed by Pb-acid and Vanadium-redox flow batteries. In general, the viability of each storage device depends on the renewable penetration level, promoting the technologies with lower capital costs at limited shares, whereas at higher contribution frameworks systems with higher performance features become preferable.

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Section: Resultsmentioning

confidence: 99%

“…In order to gain a broad overview regarding the impact of RES in UC scheduling, we first take a look at the results derived from the priority‐list schemes. The curtailed renewable energy is weighted by a penalty estimated by Equation () [38].

c_{r e s} = \max_{t = 1 : T} \{\frac{\partial F_{t}}{\partial P_{n e t D}^{t}}\}

…”

Section: Resultsmentioning

confidence: 99%

Co‐optimization of active power curtailment, load shedding and spinning reserve deficits through hybrid approach: Comparison of electrochemical storage technologies

Nikolaidis

Poullikkas

2021

IET Renewable Power Gen

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“…Nikolaidis and Poullikkas introduced a clusterbased spinning reserve formulation in the presence of massive penetration of wind and PV power. 9 The experimental evaluation shows that the suggested approach significantly improves the level of security and minimizes the operating cost. Jiang et al introduced a cost-effective reserve allocation approach based on the dynamic reserve demand estimation model.…”

Section: Introductionmentioning

confidence: 98%

Dual stage microgrid energy resource optimization strategy considering renewable and battery storage systems

Islam

Nagrial

Rizk

et al. 2021

Intl J of Energy Research

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Optimal operation of micro grids (MGs) with high penetration of renewable energy sources (RESs) has become inflexible as a consequence of the uncertainty and intermittency nature of RESs. Energy management along with battery energy storage system (BESS) is thus essential to minimize these uncertainties of MGs and to ensure continuity of energy supply and maintain the reliability of the system. In this paper, a dual-stage MG optimal energy management approach considering the BESS model and other dispatchable resources is introduced to minimize the operating cost. The proposed approach comprises of the schedule and dispatch stages. The mixed-integer linear programming is applied to solve the dual-stage energy management problem and the performance of the suggested technique is compared with the particle swarm optimization technique. The obtained results prove that the incorporation of the suggested BESS plant can significantly reduce the operating costs up to 7% and 6% when committed to supplying power in the scheduling and dispatch stages. The results also show that power loss has a considerable impact on MG energy management. The optimal simulation results confirm the effectiveness of the proposed microgrid energy resources optimization strategy.

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“…In [12][13][14][15][16], the authors have presented an overview of contemporary innovations for the use of microgrid storage and DR operations. In [17][18][19], the authors analyzed power optimization in hybrid microgrids based on the formulation and optimization of spinning reserves. Earlier proposed works have only considered the optimization of energy management, not the stabilization of voltage and frequency to fixed reference.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Dynamic Control Based Optimization of Renewable Energy Resources for Grid-Tied Microgrids

et al. 2022

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Renewable-energy-resource-based microgrids can overcome excessive carbon footprints and increase the overall economic profile of a country. However, the intermittent nature of renewables and load variation may cause various control problems which highly affect the power quality (frequency and voltages) of the overall system. This study aims to develop an adaptive technique for the optimization of renewable energy resources (RERs). The proposed grid-tied microgrid has been designed using a wind-turbine (WT) based distributed generation, a photovoltaic (PV) system, a diesel generator as an emergency backup, and battery energy storage system (BESS). The flexible (residential) and non-flexible (industrial) loads are connected with the proposed grid. Matlab/Simulink has been used to evaluate the performance of the proposed optimization technique. Comparison with different in-use techniques shows that the proposed technique is more reliable and efficient than the state of the art optimization techniques currently in use. Moreover, this proposed system provides robust optimization of parameters of concern such as frequency and voltages, makes efficient use of the maximum power point tracking while regulating voltages, reduces the overall system cost, and increases economic profitability.

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A novel cluster-based spinning reserve dynamic model for wind and PV power reinforcement

Cited by 21 publications

References 36 publications

Co‐optimization of active power curtailment, load shedding and spinning reserve deficits through hybrid approach: Comparison of electrochemical storage technologies

Co‐optimization of active power curtailment, load shedding and spinning reserve deficits through hybrid approach: Comparison of electrochemical storage technologies

Dual stage microgrid energy resource optimization strategy considering renewable and battery storage systems

Adaptive Dynamic Control Based Optimization of Renewable Energy Resources for Grid-Tied Microgrids

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