The effect of high levels of solar generation on congestion in the European electricity transmission grid

This study employed dynamic economic dispatch with the particle swarm optimization method to optimize the generation cost of a solar photovoltaic-integrated power system. In the study, a load profile initially aligned with peak solar power production that evolved to be relatively flat was considered. Load profile flatness was measured by the load factor, whereas alignment between solar power production and peak loads was determined by the solar-load correlation coefficient. The results revealed that the load profile with the highest load factor exhibited the best generation cost in most cases. However, as solar power penetration increased, load profile with higher positive solar-load correlation coefficient was the most cost-effective, whereas that with the highest correlation offered the worst costs. This result implies that these flattening and coincidence techniques potentially improve generation costs at low and high solar penetrations, respectively. However, load profiles with high positive solar-load correlation coefficients may not effectively reduce generation costs at high solar penetration.

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“…The fast ramping of generation units negatively affected the marginal generation cost (Goop et al., 2017). According to Rose et al.…”

Section: Resultsmentioning

confidence: 99%

“…The fast ramping of generation units negatively affected the marginal generation cost (Goop et al, 2017). According to Rose et al (2016), the cycling costs that arose under high solar penetration countered the cost reduction benefits accrued from the initial solar penetration.…”

Section: Generation Cost Optimization Under Further (40%) Solar Penetmentioning

confidence: 99%

Optimization of the cost of power generation of an evolving load profile in a solar photovoltaic-integrated power system

Afonaa-Mensah

Wang

Uzoejinwa

2019

Energy Exploration & Exploitation

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“…The demand in ELIN and EPOD (i.e., Year 2030 for the EPOD model) must then be satisfied for each year, time-step and region, which implies the constraint seen in Equation 3. A full mathematical description of the EPOD dispatch model is described in Goop et al [17].…”

Section: Fuelsmentioning

confidence: 99%

Electric Vehicles as Flexibility Management Strategy for the Electricity System—A Comparison between Different Regions of Europe

et al. 2019

Self Cite

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This study considers whether electric vehicles (EVs) can be exploited as a flexibility management strategy to stimulate investments in and operation of renewable electricity under stringent CO2 constraints in four regions with different conditions for renewable electricity (Sweden, Germany, the UK, and Spain). The study applies a cost-minimisation investment model and an electricity dispatch model of the European electricity system, assuming three types of charging strategies for EVs. The results show that vehicle-to-grid (V2G), i.e., the possibility to discharging the EV batteries back to grid, facilitates an increase in investments and generation from solar photovoltaics (PVs) compare to the scenario without EVs, in all regions except Sweden. Without the possibility to store electricity in EV batteries across different days, which is a technical limitation of this type of model, EVs increase the share of wind power by only a few percentage points in Sweden, even if Sweden is a region with good conditions for wind power. Full electrification of the road transport sector, including also dynamic power transfer for trucks and buses, would decrease the need for investments in peak power in all four regions by at least 50%, as compared to a scenario without EVs or with uncontrolled charging of EVs, provided that an optimal charging strategy and V2G are implemented for the passenger vehicles.

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“…The widespread technology in PV generation creates advantages; energy costs and emissions, costs of building transmission networks, and energy reduction from fossil fuels [2]. On the other side, additional placement of distributed generation (DG) to conventional systems will create new challenges such as overload, voltage stability, ampacity current in a conductor, and voltage profile on the distribution networks [3,4].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Distributed Generation Placement and Capacity Using Flower Pollination Algorithm Method

Putra

Istiqomah

Shaddiq

et al. 2021

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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The need for energy, especially electricity, is increasing along with the development of technology. An increase in electrical load and the location of the powerplant far causes voltage drops and causes power line losses. One solution can be chosen by adding a distributed generation (DG) to the distribution network. This study aims to enhance the voltage profile and reduce power losses according to DG-based photovoltaic (PV)'s optimal placement and capacity in the Bantul Feeder 05 distribution network. The flower pollination algorithm (FPA) method is used to determine the optimal DG placement and capacity. The study was conducted using three additional DG scenarios: scenario 1 with single DG and scenario 2 with multi-DG (2 DG and 3 DG). The results showed that the optimal placement and capacity of DG were on buses 9, 19, and 33 with DG sizes of 1.880 kW, 2.550 kW, and 2.300 kW, respectively. This placement can increase the voltage profile and reduce the active power loss from 439.8 kW to 77.5 kW. The research also considers the increase in the reliability of the distribution system in terms of the Energy not Supplied (ENS) and Cost of Energy not Supplied (CENS) index.

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The effect of high levels of solar generation on congestion in the European electricity transmission grid

Cited by 49 publications

References 18 publications

Optimization of the cost of power generation of an evolving load profile in a solar photovoltaic-integrated power system

Optimization of the cost of power generation of an evolving load profile in a solar photovoltaic-integrated power system

Electric Vehicles as Flexibility Management Strategy for the Electricity System—A Comparison between Different Regions of Europe

Optimization of Distributed Generation Placement and Capacity Using Flower Pollination Algorithm Method

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