Optimal Operation by Controllable Loads Based on Smart Grid Topology Considering Insolation Forecasted Error

Tanaka, Kenichi; Uchida, Kosuke; Ogimi, Kazuki; Goya, Tomonori; Yona, Atsushi; Senjy, T.; Funabashi, Toshihisa; Kim, Chul‐Hwan

doi:10.1109/tsg.2011.2158563

Cited by 89 publications

(48 citation statements)

References 15 publications

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“…The main objective is to decide the best VPP management strategy to minimize the generation costs and optimize storage charging and discharging time subjected to all operational constraints. In 2011, Tanaka et al [116] presented an approach for optimal operation of a smart grid to minimize the interconnectionpoint power flow fluctuation. To accomplish the planned optimal operation, distributed controllable loads such as battery and heat pump are used.…”

Section: 2mentioning

confidence: 99%

Optimal Power Flow Techniques under Characterization of Conventional and Renewable Energy Sources: A Comprehensive Analysis

Khan

Singh

2017

Journal of Engineering

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The exhaustive knowledge of optimal power flow (OPF) methods is critical for proper system operation and planning, since OPF methods are utilized for finding the optimal state of any system under system constraint conditions, such as loss minimization, reactive power limits, thermal limits of transmission lines, and reactive power optimization. Incorporating renewable energy sources optimized the power flow of system under different constraints. This work presents a comprehensive study of optimal power flows methods with conventional and renewable energy constraints. Additionally, this work presents a progress of optimal power flow solution from its beginning to its present form. Authors classify the optimal power flow methods under different constraints condition of conventional and renewable energy sources. The current and future applications of optimal power flow programs in smart system planning, operations, sensitivity calculation, and control are presented. This study will help the engineers and researchers to optimize power flow with conventional and renewable energy sources.

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Section: 2mentioning

confidence: 99%

Optimal Power Flow Techniques under Characterization of Conventional and Renewable Energy Sources: A Comprehensive Analysis

Khan

Singh

2017

Journal of Engineering

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“…Equation (2) shows the representation of two complex affine functions. The complex affine function in (2) can be converted into complex IA form according to (3) and become as shown in (4).…”

Section: Complex Affine Arithmeticmentioning

confidence: 99%

“…Though renewable energy sources are abundant and non-exhaustive, the power generated from those sources is not reliable. There is fluctuation in frequency and voltage profile because of frequent variation in Affine Arithmetic weather condition [2]. As a result, the penetration of such renewable energies to the main grid disrupts the voltage profile.…”

Section: Introductionmentioning

confidence: 99%

Load Flow Analysis of a Power System Network in the Presence of Uncertainty using Complex Affine Arithmetic

Abebe¹,

Rao²,

Nak³

2017

IJEM

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The depletion of fossil fuel is driving the world towards the application of renewable energy sources. However, their intermittent nature, in addition to load variation and transmission line sag-tension change due to temperature, is a great deal of problems for reliable power delivery. Without a reliable power delivery, power generation is just a waste of resources. A reliable power delivery can be achieved when the best and the worst case steady state information of a power system network is known to plan and control accordingly. If a system is affected by the presence of uncertainty, a deterministic load flow analysis fails to provide the worst-case load flow result in a single analysis. As a result, a load flow analysis considering the presence of uncertainty is mandatory. On this paper, a novel complex affine arithmetic (AA) based load flow analysis in the presence of generation and load uncertainties is proposed. The proposed approach is tested on an IEEE bus systems and compared with Monte Carlo approach. The proposed approach convergence faster than the Monte Carlo based method and it is slightly conservative.

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“…In recent years, several optimal load control schedules which are based on linear programming or dynamic algorithms are used mainly for peak shaving, load shifting, or contingency reserves to minimize production cost or meet reliability requirements over a limited time horizon [38][39][40].…”

Section: Control Effectivenessmentioning

confidence: 99%

Controllable Load Management Approaches in Smart Grids

Shen

Jiang

2015

Energies

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Abstract:With rapid smart grid technology development, the customer can actively participate in demand-side management (DSM) with the mutual information communication between the distributor operation company and the smart devices in real-time. Controllable load management not only has the advantage of peak shaving, load balance, frequency regulation, and voltage stability, but is also effective at providing fast balancing services to the renewable energy grid in the distributed power system. The load management faces an enormous challenge as the customer has a large number of both small residential loads and dispersed renewable sources. In this paper, various controllable load management approaches are discussed. The traditional controllable load approaches such as the end users' controllable appliances, storage battery, Vehicle-to-Grid (V2G), and heat storage are reviewed. The "broad controllable loads" management, such as the microgrid, Virtual Power Plant (VPP), and the load aggregator are also presented. Furthermore, the load characteristics, control strategies, and control effectiveness are analyzed.

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Optimal Operation by Controllable Loads Based on Smart Grid Topology Considering Insolation Forecasted Error

Cited by 89 publications

References 15 publications

Optimal Power Flow Techniques under Characterization of Conventional and Renewable Energy Sources: A Comprehensive Analysis

Optimal Power Flow Techniques under Characterization of Conventional and Renewable Energy Sources: A Comprehensive Analysis

Load Flow Analysis of a Power System Network in the Presence of Uncertainty using Complex Affine Arithmetic

Controllable Load Management Approaches in Smart Grids

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