Demand–Supply Balancing Capability Analysis for a Future Power System

Ogimoto, Kazuhiko; Kataoka, Kohsuke; Ikegami, Takashi; Nonaka, Shunsuke; Azuma, Hitoshi; Fukutome, Suguru

doi:10.1002/eej.22488

Cited by 6 publications

(7 citation statements)

References 5 publications

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“…Sustainability 2017, 9, 119 3 of 15 that while the power planning model developed by Ogimoto et al [16] specifically accommodates VRE uncertainties, it focuses on balancing the grid rather than optimizing the amount of installed VRE.…”

Section: Overview Of the Modelmentioning

confidence: 99%

“…The balanced equation, which assumes that the fluctuations caused by VRE output and demand uncertainties can be absorbed by LFC balancing capacity, is algebraically expressed as Equation (15). Rearranging then allows the direct calculation of the LFC balancing capacity in Equation (16).…”

Section: Model Configurationmentioning

confidence: 99%

“…The main energy sources in these isolated grids were typically thermal plants (mainly diesel generators) with limited deployment of VRE. However, that while the power planning model developed by Ogimoto et al [16] specifically accommodates VRE uncertainties, it focuses on balancing the grid rather than optimizing the amount of installed VRE.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Potential of Variable Renewable Energy for a Balanced Isolated Grid: A Japanese Case Study

2017

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Abstract:There is a global push to develop renewable energy to further a low-carbon society. However, the nature of variable renewable energy (VRE) sources such as wind power and solar photovoltaic (PV) systems may create problems because electricity grids require a stable power supply to match demand. To evaluate the potential capacity of VREs that may be installed, we develop an optimized model that balances power supply and demand and also considers grid balancing by battery storage and load frequency control. The model was applied to a case study of an isolated grid on a remote Japanese island. When set to optimize the grid in terms of lowest cost, the model suggested that, compared with the base case, the capacity of wind power should be increased by a factor of 1.7 and 15.8 for situations without and with battery storage, respectively. Since it was always considered to be more expensive than wind power, no change in solar PV capacity was observed. These approaches resulted in a decrease in the total power generation cost of 2% and 24%, respectively, while total CO 2 emissions fell by 3% and 52%, primarily driven by decreased used of the existing fossil-fueled thermal plant.

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Section: Overview Of the Modelmentioning

confidence: 99%

Section: Model Configurationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluating the Potential of Variable Renewable Energy for a Balanced Isolated Grid: A Japanese Case Study

2017

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“…Nowadays, considerable growth in the industrial and residential sectors has led to an increase in the power supply demand. 1 The evolution toward clean energy-based distributed renewable systems is a promising way to overcome this issue. It also provides the ability to power supply remote areas which are generally complicated and environmentally hazardous for the main grid connection.…”

Section: Introductionmentioning

confidence: 99%

Multi‐microgrid intelligent load shedding for optimal power management and coordinated control with energy storage systems

2021

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This paper deals with optimal multi-stage power management and control coordinated with load shedding in interconnected microgrid (MG) with various renewable energy sources (RESs), namely: wind turbine, photovoltaic generator and concentrated solar power generator. Hybrid energy storage systems including electrical vehicles, fuel cells, redox flow batteries and superconducting magnetic energy storage have been introduced to improve the overall MG frequency dynamic performances in case of renewable energy integration and load disturbances. To improve the interconnected MG tie-lines power control, flexible alternating current transmission systems are added. For an optimal and robust solution, an artificial intelligence strategy is proposed, combining a load frequency control-based cascade Fuzzy-proportional-integral-derivative controller with filter (PIDN). In doing so, a recently metaheuristic algorithm that mimics the social behavior of elephants in nature, named Elephant Herding Optimization, has been employed to optimize the Fuzzy-PIDN controller gains. To show the effectiveness and superiority of the proposed control strategy, various scenarios are carried out. A comparative study in view of a settling time and peak over/undershoot has been performed.The obtained results demonstrate that the proposed control strategy gives good performances for MG power management and control under RESs integration and load disturbances scenarios.

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“…However, such systems are characterized by unreliable power output and, as such, power transmission and distribution business operators are faced with the important problem of how to efficiently use thermal generators and hydraulic generators to adjust output to realize stable power supply. [1][2][3] In the current supply-demand adjustment scheme, RES output fluctuation is compensated for by control generators connected to a transmission grid within the jurisdictional area. However, the power flow in the area power grid simultaneously changes due to the output adjustment of the control generators.…”

mentioning

confidence: 99%

Proposal and evaluation of determination method for multiobjective output dispatch of frequency control generators to compensate for renewable energy system fluctuation in multiarea system operation

Kaneko

Hayashi

Nonaka

2018

Electrical Engineering Japan

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Recently, a multiarea system operation utilized a tie‐line has been verified to resolve a shortage of a control capacity of frequency control generators output due to a widespread penetration of renewable energy systems (RES). In order to determine the proper dispatch of the generators output to compensate RES fluctuation in the multiarea system operation, the power system operators should consider power flow constrains and indexes of power system conditions such as the speed of dispatch, the balance of reserved control capacity in each area, and the stability of power supply. In this paper, we propose a methodology to determine multiobjective dispatch candidates of frequency control generators output to compensate RES fluctuation in multiarea system operation considering three indexes, a speed of dispatch, a reserved control capacity, and a transient stability based on optimal power flow and multiobjective particle swarm optimization. The methods determine the dispatch based on Euclidean norm of the indexes in the calculated candidates in order to consider all indexes well‐balanced. The effectiveness of the proposed methodology is verified by a numerical simulation used IEEJ EAST 30‐Machine Grid Model with much RES, and the effectiveness of the dispatch minimized Euclidean norm is confirmed by comparison to single‐objective solution in each index among the calculated candidates.

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Demand–Supply Balancing Capability Analysis for a Future Power System

Cited by 6 publications

References 5 publications

Evaluating the Potential of Variable Renewable Energy for a Balanced Isolated Grid: A Japanese Case Study

Evaluating the Potential of Variable Renewable Energy for a Balanced Isolated Grid: A Japanese Case Study

Multi‐microgrid intelligent load shedding for optimal power management and coordinated control with energy storage systems

Proposal and evaluation of determination method for multiobjective output dispatch of frequency control generators to compensate for renewable energy system fluctuation in multiarea system operation

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