Barriers (and Solutions...) to Very High Wind Penetration in Power Systems

Estanqueiro, Ana; Jesus, J.M. Ferreira; Ricardo, João; Santos, André dos; Lopes, João

doi:10.1109/pes.2007.385802

Cited by 28 publications

(14 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Keeping in view these growing trends of using intermittent sources of energy, there is and there will be a greater need for flexibility in the modern energy transmission and distribution systems. With regard to a large integration of wind power to electricity network, a number of issues [51][52][53][54][55][56][57][58], described below, are required to be addressed:…”

Section: Pumped Hydroelectric Energy Storage (Phes)-definitionmentioning

confidence: 99%

Pumped hydro energy storage system: A technological review

Rehman

Al‐Hadhrami

Alam

2015

Renewable and Sustainable Energy Reviews

906

342

View full text Add to dashboard Cite

Section: Pumped Hydroelectric Energy Storage (Phes)-definitionmentioning

confidence: 99%

Pumped hydro energy storage system: A technological review

Rehman

Al‐Hadhrami

Alam

2015

Renewable and Sustainable Energy Reviews

906

342

View full text Add to dashboard Cite

“…It is not uncommon to have a renewable energy surplus in certain generation mixes and adaptation of specific management strategies are required in order to avoid renewable generation curtailment [2]. This trend will gain on significance and different integration concepts in various generation mixes will need to be considered [3].…”

Section: Notationmentioning

confidence: 99%

Role and impact of coordinated EV charging on flexibility in low carbon power systems

Pavić

Capuder

Holjevac

et al. 2014

2014 IEEE International Electric Vehicle Conference (IEVC)

View full text Add to dashboard Cite

The paper analyses the impact of Electric Vehicle (EV) integration into different power systems and their flexibility potential in mitigating the uncertainty and variability of renewable energy sources (RES) generation. The problem is cast as Mixed Integer Linear Programming (MILP) unit commitment, modelling different generation mix/technologies over a number of scenarios. The results, as expected, show that different EV charging strategies have different impacts on power system operation and unit scheduling. In addition, the analyses support the premises that the greater number of EVs, with coordinated charging strategies, can have environmental benefits in terms of reducing CO 2 emissions in addition to reducing wind curtailment and system operation costs. These benefits are more obvious in low flexible power systems characterized by dominantly thermal power plants, while they are less pronounced in balanced hydro thermal systems.Keywords-electric vehicles; renewable energy sources integration; mixed integer linear programming (MILP); power generation scheduling; spinning reserve; power system flexibility NOTATIONThe notation used is listed below for quicker reference. Parameters Δ Time period [h] ρ Frequency response slope η h Efficiency of hydro power plants [%] η hp Pumping efficiency of pump-storage [%] A Fixed cost of thermal units [$/h] A h Fixed cost of hydro units [$/h] B Variable cost of thermal units [$/MWh] B h Variable cost of hydro units [$/MWh] C shed Load shedding penalties [$/MWh] C shut Shut-down cost [$] C start Start-up cost [$] C over Generation shedding penalties [$/MWh] E mc Carbon emissions penalties [$/kgCO 2 ] E mr Carbon emissions rate [kgCO 2 /MWh] E mrstart Start-up carbon emissions rate [kgCO 2 ] F dn Total downward frequency response [MW] F up Total upward frequency response [MW] G Total number of thermal units of type i Gh Total number of hydro units of type i H Hydro power plant head [m] I Hydro power plant inflow [m 3 /s] kv Reservoir water loss coefficient [%] Ni, Nih and N EV Number of thermo, hydro and EV types n arr Number of EVs arriving to the grid n g Number of EVs connected to the grid n leav Number of EVs leaving the grid P evmax , P evmin Maximum and minimum EVs charge, discharge [MW] P MAX ,P MIN Generation limits of thermal PP [MW] P MAXh ,P MINh Generation limits of hydro PP [MW] Q max , Q min Turbine outflow limits [m 3 /s] R up ; R dn , Total upward/downward reserve [MW] S cons Energy accumulated in one EV of type i after trip [MWh] S ev0 Initial energy stored in EVs [MWh] S max Max capacity of one EV of type I [MWh] T dn , T up Minimum down/up time of thermal PP [h] V k Water storage reservoir limit [m 3 ] V dn , V up Ramp down/up rate [MW/h] Variables η c EVs charging efficiency η d EVs discharging efficiency Ω Wind curtailment [MW] a g , a p Pump-storage decision variable C HE Hydro power plant total cost [$] C TE Thermal power plant total cost [$] Em Total carbon emissions [kgCO 2 ] e minus Load shedding [MW] e plus Generation shedding [MW] f dn ; f up Frequen...

show abstract

“…A number of methodologies and techniques are available depending on the wind availability, grid limitation and varies from country to country and region to region. In general, some of the methods to maximize the wind penetration are to use suitable type of wind turbines in the wind farms, which are connected at suitable buses and to use suitable grid control mechanisms to enable maximum penetration [7][8].…”

Section: Introductionmentioning

confidence: 99%

Methodology for optimal bus placement to integrate wind farm optimizing power flows

Molina-Moreno

Medína

Cisneros-Magana

2015

2015 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)

View full text Add to dashboard Cite

This paper proposes an alternative algorithm to locate the optimal bus placement to integrate wind farms based on the criterion of minimizing the electrical losses using the solution of the power flow problem to identify the best connection point. The wind farm is modeled as a negative load being possible to connect this power generation to the possible connection buses and obtaining the power flow solution for each different connection point as a generation change or displacement. The IEEE 14, 30 and 57 bus test systems have been used to validate the proposed methodology. The results have shown the optimal bus among a possible set of them that causes minimum losses when a wind farm is integrated to it.Keywords-losses; negative load; point of common coupling; power flow; wind farm integration; wind power generator.

show abstract

Barriers (and Solutions...) to Very High Wind Penetration in Power Systems

Cited by 28 publications

References 4 publications

Pumped hydro energy storage system: A technological review

Pumped hydro energy storage system: A technological review

Role and impact of coordinated EV charging on flexibility in low carbon power systems

Methodology for optimal bus placement to integrate wind farm optimizing power flows

Contact Info

Product

Resources

About