Effects of penetration level and location of wind turbines on shadow prices and congestion of transmission lines

Entezariharsini, Azam; Ghiasi, Seyyed Mohammad Sadegh; Mehrjerdi, Hasan

doi:10.1063/1.5033948

Cited by 3 publications

(4 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The impact of incorporation of load demand uncertainty on the performance of the market dispatching has been analysed considering two load certainty levels of 100% and 90% in the optimization programming. The hourly load obtained for the system for the certainty level of 100% in (7) indicates that there is 100% certainty that the load would be maximum 110% of its mean forecasted value. Similarly, the hourly loads for the certainty level of 90% are obtained from (7).…”

Section: ) Case 3: Dspvg Placed In System With Essmentioning

confidence: 98%

“…The hourly load obtained for the system for the certainty level of 100% in (7) indicates that there is 100% certainty that the load would be maximum 110% of its mean forecasted value. Similarly, the hourly loads for the certainty level of 90% are obtained from (7). The simulation results for SW and demand benefit are given in Table III.…”

Section: ) Case 3: Dspvg Placed In System With Essmentioning

confidence: 98%

“…The power generation of SPV generators is a function of weather conditions such as irradiance levels of photovoltaic (PV) modules, temperature, humidity, and dust, and varies with the time of a day and season of a year [3]- [5]. Their intermittent power outputs affect the stability and security of power grid operation and aggravate the problem of transmission congestion [6], [7].…”

Section: Cumulative Density Functionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of Distributed Solar Photovoltaic Power Generation in Day-ahead Electricity Market Incorporating Irradiance Uncertainty

Singla

Singh

Yadav

2021

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

This paper proposes a simple and practical approach to model the uncertainty of solar irradiance and determines the optimized day-ahead (DA) schedule of electricity market. The problem formulation incorporates the power output of distributed solar photovoltaic generator (DSPVG) and forecasted load demands with a specified level of certainty. The proposed approach determines the certainty levels of the random variables (solar irradiance and forecasted load demand) from their probability density function curves. In this process of optimization, the energy storage system (ESS) has also been modeled based on the fact that the energy stored during low locational marginal price (LMP) periods and dispatched during high LMP periods would strengthen the economy of DA schedule. The objective of the formulated non-linear optimization problem is to maximize the social welfare of market participants, which incorporates the assured generation outputs of DSPVG, subject to real and reactive power balance and transmission capability constraints of the system and charging/discharging and energy storage constraints of ESS. The simulation has been performed on the Indian utility 62-bus system. The results are presented with a large number of cases to demonstrate the effectiveness of the proposed approach for the efficient, economic and reliable operation of DA electricity markets.

show abstract

Section: ) Case 3: Dspvg Placed In System With Essmentioning

confidence: 98%

Section: ) Case 3: Dspvg Placed In System With Essmentioning

confidence: 98%

Section: Cumulative Density Functionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of Distributed Solar Photovoltaic Power Generation in Day-ahead Electricity Market Incorporating Irradiance Uncertainty

Singla

Singh

Yadav

2021

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

show abstract

“…Entezariharsini et al elaborated impacts of increased wind power in terms of the level of penetration. Stochastic programming including wind power uncertainty is presented to minimize the annual operational cost of generators [14]. Bhadoria et al utilized the inherent property of moths to converge toward the light to solve the economic load dispatch problem with due consideration of renewable energy sources [15].…”

Section: Introductionmentioning

confidence: 99%

Optimum generation scheduling incorporating wind energy using HHO–IGWO algorithm

Dhawale

Kamboj

Anand

2023

Journal of Electrical Systems and Inf Technol

View full text Add to dashboard Cite

Recently, renewable energy participation is gaining importance in the existing power system. However, the large penetration of these renewable energy sources into the existing power system network may cause an imbalance in supply and demand response. Unit commitment is the decision-making process in which generating units are turned ON and OFF at the hourly interval as per the load demand under certain constraints to provide economic scheduling. Thus, an advanced intelligent approach is needed to cope with this combined unit commitment problem with a large penetration of intermittent sources. This paper offers the solution to optimal scheduling by implementing the hybrid Harris Hawks optimizer algorithm (HHO–IGWO). Standard IEEE systems with 10-, 19-, 20-, and 40 units are simulated. Further, to test the feasibility and effectiveness of the proposed method, a comparative analysis for a 10-, 20-, and 40-unit system has also been performed with penetration. The comparative analysis reveals that proposed is more efficient in tackling unit commitment problem in the presence of wind as renewable energy source.

show abstract

Methods and Methodologies for Congestion Alleviation in the DPS: A Comprehensive Review

Gautam

Ibraheem

Ahmer³

et al. 2023

Energies

View full text Add to dashboard Cite

The modern power system has reached its present state after wading a long path facing several changes in strategies and the implementation of several reforms. Economic and geographical constraints led to reforms and deregulations in the power system to utilize resources optimally within the existing framework. The major hindrance in the efficient operation of the deregulated power system (DPS) is congestion, which is the result of the participation of private players under deregulation policies. This paper reviews different setbacks introduced by congestion and the methods applied/proposed to mitigate it. Technical and non-technical methods are reviewed and detailed. Major optimization techniques proposed to achieve congestion alleviation are presented comprehensively. This paper combines major publications in the field of congestion management and presents their contribution towards the alleviation of congestion.

show abstract

Effects of penetration level and location of wind turbines on shadow prices and congestion of transmission lines

Cited by 3 publications

References 44 publications

Optimization of Distributed Solar Photovoltaic Power Generation in Day-ahead Electricity Market Incorporating Irradiance Uncertainty

Optimization of Distributed Solar Photovoltaic Power Generation in Day-ahead Electricity Market Incorporating Irradiance Uncertainty

Optimum generation scheduling incorporating wind energy using HHO–IGWO algorithm

Methods and Methodologies for Congestion Alleviation in the DPS: A Comprehensive Review

Contact Info

Product

Resources

About