Influence of photovoltaic power generation on required capacity for load frequency control

Asano, Hiroshi; Yajima, Kouichi; Kaya, Yoichi

doi:10.1109/60.486595

Cited by 122 publications

(32 citation statements)

References 5 publications

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“…Solar energy has large potential and according to recent studies, it has potential to be energy source of future. The basic concepts of modelling and integration of renewable energy sources in power system have been presented in literature [4][5][6][7][8][9]. Asano et al [4] have introduced the concepts of integrating the photovoltaic system in AGC.…”

Section: Introductionmentioning

confidence: 99%

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Automatic generation control of a multi-area ST – Thermal power system using Grey Wolf Optimizer algorithm based classical controllers

Sharma

Saikia

2015

International Journal of Electrical Power & Energy Systems

232

117

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Section: Introductionmentioning

confidence: 99%

“…The basic concepts of modelling and integration of renewable energy sources in power system have been presented in literature [4][5][6][7][8][9]. Asano et al [4] have introduced the concepts of integrating the photovoltaic system in AGC. They have developed the mathematical model of photovoltaic (PV) system to analyze its impact on AGC.…”

Section: Introductionmentioning

confidence: 99%

Automatic generation control of a multi-area ST – Thermal power system using Grey Wolf Optimizer algorithm based classical controllers

Sharma

Saikia

2015

International Journal of Electrical Power & Energy Systems

232

117

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“…The number of the PV panels is 40,000 and 380,000, respectively. The total capacity of the renewable power was chosen so that it represents 10% of the conventional generation to avoid technical problems [40,41]. The wind speed and solar radiation are assumed variable and different at each location of renewable generation power plant to be flexible when using this strategy in any real power system.…”

Section: System Descriptionmentioning

confidence: 99%

Optimal Power Flow Using Particle Swarm Optimization of Renewable Hybrid Distributed Generation

2017

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Abstract:The problem of voltage collapse in power systems due to increased loads can be solved by adding renewable energy sources like wind and photovoltaic (PV) to some bus-bars. This option can reduce the cost of the generated energy and increase the system efficiency and reliability. In this paper, a modified smart technique using particle swarm optimization (PSO) has been introduced to select the hourly optimal load flow with renewable distributed generation (DG) integration under different operating conditions in the 30-bus IEEE system. Solar PV and wind power plants have been introduced to selected buses to evaluate theirs benefits as DG. Different solar radiation and wind speeds for the Dammam site in Saudi Arabia have been used as an example to study the feasibility of renewable energy integration and its effect on power system operation. Sensitivity analysis to the load and the other input data has been carried out to predict the sensitivity of the results to any deviation in the input data of the system. The obtained results from the proposed system prove that using of renewable energy sources as a DG reduces the generation and operation cost of the overall power system.

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“…The capacity credit for solar and wind is expected to decline with increasing penetration (Hoff et al, 2008;Asano et al,1996;Hirst and Hild, 2004;Holttinen et al, 2009). This decline in capacity value, however, can be somewhat offset by diversity in wind speeds from one region to the next (Milligan and Factor, 2000;Stoft, 2008, EnerNex Corp., 2010.…”

Section: Appendix a Change In Market Value Adjustment Factors With Imentioning

confidence: 99%

Exploration of resource and transmission expansion decisions in the Western Renewable Energy Zone initiative

2011

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Building transmission to reach renewable energy (RE) goals requires coordination among renewable developers, utilities and transmission owners, resource and transmission planners, state and federal regulators, and environmental organizations. The Western Renewable Energy Zone (WREZ) initiative brings together a diverse set of voices to develop data, tools, and a unique forum for coordinating transmission expansion in the Western Interconnection. In this report we use a new tool developed in the WREZ initiative to evaluate possible renewable resource selection and transmission expansion decisions. We evaluate these decisions under a number of alternative future scenarios centered on meeting 33% of the annual load in the Western Interconnection with new renewable resources located within WREZ-identified resource hubs.Of the renewable resources in WREZ resource hubs, and under the assumptions described in this report, our analysis finds that wind energy is the largest source of renewable energy procured to meet the 33% RE target across nearly all scenarios analyzed (38-65%). Solar energy is almost always the second largest source (14-41%). Solar exceeds wind by a small margin only when solar thermal energy is assumed to experience cost reductions relative to all other technologies. Biomass, geothermal, and hydropower are found to represent a smaller portion of the selected resources, largely due to the limited resource quantity of these resources identified within the WREZ-identified hubs (16-23% combined). We find several load zones where wind energy is the least cost resource under a wide range of sensitivity scenarios. Load zones in the Southwest, on the other hand, are found to switch between wind and solar, and therefore to vary transmission expansion decisions, depending on uncertainties and policies that affect the relative economics of each renewable option. Uncertainties and policies that impact bus-bar costs are the most important to evaluate carefully, but factors that impact transmission costs and the relative market value of each renewable option can also be important. Under scenarios in which each load zone must meet 33% of its load with delivered renewable energy from the WREZ-identified resource hubs, the total transmission investment required to meet the 33% west-wide RE target is estimated at between $22 billion and $34 billion. Although a few of the new transmission lines are very longover 800 miles-most are relatively short, with average transmission distances ranging from 230-315 miles, depending on the scenario. Needed transmission expenditure are found to decline to $17 billion if wide use of renewable energy credits is allowed; consideration of renewable resources outside of WREZ-identified hubs would further reduce this transmission cost estimate. Even with total transmission expenditures of $17-34 billion, however, these costs still represent just 10-19% of the total delivered cost of renewable energy.vi

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Influence of photovoltaic power generation on required capacity for load frequency control

Cited by 122 publications

References 5 publications

Automatic generation control of a multi-area ST – Thermal power system using Grey Wolf Optimizer algorithm based classical controllers

Automatic generation control of a multi-area ST – Thermal power system using Grey Wolf Optimizer algorithm based classical controllers

Optimal Power Flow Using Particle Swarm Optimization of Renewable Hybrid Distributed Generation

Exploration of resource and transmission expansion decisions in the Western Renewable Energy Zone initiative

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