Operation of a photovoltaic-wind plant with a hydro pumping-storage for electricity peak-shaving in an island context

Notton, Gilles; Mistrushi, Driada; Stoyanov, Ludmil; Berberi, Pëllumb

doi:10.1016/j.solener.2017.08.016

Cited by 62 publications

(21 citation statements)

References 48 publications

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“…where η 1 is the total PV conversion efficiency and η 2 is the efficiency of the PV power inverter. Thus, the total output at each moment of the wind farm and the PV can be expressed as Equations (10) and (11). P t f = n f P f (10)…”

Section: Wind Power and Pv Output Constraintsmentioning

confidence: 99%

“…At present, there are several research results related to the optimal configuration of hybrid RESs and energy storage systems. In [10], a hybrid wind-PV-pumped storage system is established to simulate the impact of the hybrid system on energy performance in island grids. In [11], using seawater as a lower reservoir, a similar system is built up to study the impact of the capacity of the pumped storage unit and the upper reservoir on calculating the allowed capacity of RESs.…”

Section: Introductionmentioning

confidence: 99%

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An Innovative Planning Method for the Optimal Capacity Allocation of a Hybrid Wind–PV–Pumped Storage Power System

Wen

Yang

2019

Energies

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In recent years, wind and photovoltaic power (PV) have been the renewable energy sources (RESs) with the greatest growth, and both are commonly recognized as the major driving forces of energy system revolution. However, they are characterized by intermittency, volatility and randomness. Therefore, their stable and efficient implementation is one of the most significant topics in the field of renewable energy research. In order to improve the stability of RESs and reduce the curtailment of wind and solar energy, this paper proposes an innovative planning method for optimal capacity allocation. On one hand, a new power generation system is introduced which combines a pumped storage power station with a wind farm and PV; on the other hand, the sequential Monte Carlo method is utilized to analyze the economy and reliability of the system under different capacity configurations considering investment cost, operating characteristics and influence factors of wind and solar energy. Then, optimal capacity allocation can be achieved. In summary, this proposed scheme provides an effective solution for the planning and construction of a new power generation system with RESs.

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Section: Wind Power and Pv Output Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Innovative Planning Method for the Optimal Capacity Allocation of a Hybrid Wind–PV–Pumped Storage Power System

Wen

Yang

2019

Energies

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“…Scalable machine efficiency maps may be found in the work of Stipetic and Goss [36] and suggest that machine efficiencies (of the scale used here, namely 20MW) should vary between 85% at low load to 98% at rated load. For the present work, an alternator/motor model is taken from the work of Notton et al [37], wherein machine efficiencies are represented by simple polynomials. Equation 17and equation 18are used here for generator and motor efficiency expressions, giving rise to η G and η M , respectively.…”

Section: Comments On Turnaround Efficiency and A Case Study Applicatimentioning

confidence: 99%

“…Normalised air mass (M Air ) is correlated to ψ z (zenith angle) through Notton's interpretation [43,37] of Kasten and Young's revised air mass tables [44] (see equation (32)).…”

Section: Comments On Turnaround Efficiency and A Case Study Applicatimentioning

confidence: 99%

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A series hybrid “real inertia” energy storage system

Rouse

Garvey

Cárdenas

et al. 2018

Journal of Energy Storage

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The wide scale market penetration of numerous renewable energy technologies is dependent, at least in part, on developing reliable energy storage methods that can alleviate concerns over potentially interrupted and uncertain supplies. Many challenges need to be overcome, not least among them is allowing capacity for the wide range of time scales required to ensure grid stability. In thermal power plant, high frequency/short duration demand fluctuations, acting at the milliseconds to several seconds time scale, are addressed passively by the inertia of the grid. Here, grid inertia can be thought of as the mechanical inertia of spinning steel in steam and gas turbines. This allows time for active control measures to take effect at the tens of second to hours time scale and for the system to recover without a supply frequency deviation that is noticeable to the customer. It is of paramount importance that, as thermal plant is retired, renewable energy generation and storage systems account for the loss of this inertia. In the literature, strategies to address the loss of "real" inertia have often relied on emulation rather than actual replacement. The present work focuses on the preliminary development of a novel energy storage system that makes use of real inertia to address short term supply/demand imbalances while simultaneously allowing for extended depths of discharge. The concept looks to combine flywheel and compressed fluid energy stores in order to power a synchronous generator. By combining these energy storage technologies through a differential drive unit, DDU, it is anticipated that the benefits of high system inertia can be exploited in the short term while allowing energy to be continually extracted from the flywheel in the long term during storage discharge. The use of a DDU makes the present design particularly novel and distinct from other hybrid systems. In essence, this inclusion allows energy to be extracted entirely from the flywheel, inducing "real" inertia, or entirely from the secondary store, inducing "synthetic" inertia, or some combination of the two. Fundamental sizing calculations for a 50MW system with 20MWh of storage capacity are presented and used to design a suitable control system that allows for the operation of both primary flywheel and secondary compressed fluid energy stores. The transient behaviour of the system is simulated for several charge/discharge time profiles to demonstrate response stability for the system. Comments on system turnaround efficiency, which is dependent upon loading history but for the intended applications can be considered to be greater than 90% are also made here, along with a case study application to an isolated Californian solar powered grid.

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Techno‐economic optimization of a hybrid system composed of pumped hydro storage, photovoltaic module, and diesel generator in a multi‐objective framework

Bagherdoost,

Askarzadeh

2023

Env Prog and Sustain Energy

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Hybridization of photovoltaic (PV) module (as a non‐dispatchable resource), diesel generator (as a dispatchable source), and pumped hydro storage (PHS) (as an energy storage) can provide a promising hybrid energy system (HES). The main outlook of the present study is to develop an efficient multi‐objective framework for optimal design of an off‐grid PV/diesel/PHS HES in which a wide range of parameters related to PHS system is optimized. In the optimization framework, nine decision variables (number of PV modules, number of diesel generators, reservoir installation height, reservoir depth, reservoir diameter, pump's rated power, turbine's rated power, charge pipe diameter, and discharge pipe diameter) are optimized with respect to two objective functions: total net present cost (TNPC) and loss of power supply probability (LPSP). To determine how TNPC is affected by the change of the input variables, a sensitivity analysis is conducted by varying capital cost of PV, PHS, and diesel generator. To obtain a well‐distributed and widely spread Pareto front, a multi‐objective chaotic crow search algorithm (MO‐CCSA) is introduced. Simulation results show that at LPSP = 0% and 5%, levelized cost of energy is around 0.59 and 0.55 $/kWh, respectively. Moreover, variation of the PV capital cost has a significant impact on the TNPC value.

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Operation of a photovoltaic-wind plant with a hydro pumping-storage for electricity peak-shaving in an island context

Cited by 62 publications

References 48 publications

An Innovative Planning Method for the Optimal Capacity Allocation of a Hybrid Wind–PV–Pumped Storage Power System

An Innovative Planning Method for the Optimal Capacity Allocation of a Hybrid Wind–PV–Pumped Storage Power System

A series hybrid “real inertia” energy storage system

Techno‐economic optimization of a hybrid system composed of pumped hydro storage, photovoltaic module, and diesel generator in a multi‐objective framework

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