Distribution System Restoration With Renewable Resources for Reliability Improvement Under System Uncertainties

Zou, Kai; Mohy-ud-din, Ghulam; Agalgaonkar, Ashish P.; Muttaqi, Kashem M.; Perera, Sarath

doi:10.1109/tie.2019.2947807

Cited by 46 publications

(20 citation statements)

References 34 publications

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“…In this procedure, first the cumulative probability distribution function (CDF) of the time series generated by SARIMA model is calculated, which provides the probability of occurrence of each scenario, that are assigned as the weights of these scenarios in the stochastic process. For these probabilities, the inverse of a new specific distribution CDF is calculated for generating the actual scenarios [43]. The price and load demand follows the standard Gaussian distribution.…”

Section: ) Distribution Transformationmentioning

confidence: 99%

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An Integrated Energy Management Approach for the Economic Operation of Industrial Microgrids Under Uncertainty of Renewable Energy

Mohy-ud-din

Vu²,

Muttaqi

et al. 2020

IEEE Trans. on Ind. Applicat.

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© 1972-2012 IEEE. Many modern industries are equipped with onsite renewable generation and are normally connected to the grid. A battery energy storage system (BESS) can complement the intermittency of the available onsite renewable generation. The combination of the BESS and the renewable generation can operate as a microgrid. If the microgrid is properly sized and managed, it is possible to reduce the electricity bill to have a huge saving in the electricity cost. This article proposes an energy management system for such an industrial microgrids. The decisions to charge and discharge the BESS in the proposed energy management are usually constrained by the size of the energy storage. The proposed energy management strategy aims to optimize the operation of the industrial microgrids subject to the scalability of the BESS under uncertainties. The proposed optimization involves two stages. In the first stage of optimization, it determines the optimum size of the energy storage taking into account the cost of the BESS, and in the second stage, it minimizes the cost of the microgrid operation based on the decision made in the first stage. This proposed two-stage energy management strategy is formulated as a single-stage linear program that incorporates stochastic scenarios for addressing uncertainties. In addition, the proposed strategy also considers the various operating limits of the energy storage, such as the efficiency and the charging and the discharging rates, and considers the fading effect of the batteries of the BESS. The proposed strategy is then validated using two typical datasets from two different industrial units in New South Wales, Australia. The simulation results show that the proposed strategy 1 Abstract-Many modern industries are equipped with on-site renewable generation and are normally connected to the grid. A battery energy storage system (BESS) can complement the intermittency of the available on-site renewable generation. The combination of the BESS and the renewable generation can operate as a microgrid. If the microgrid is properly sized and managed, it is possible to reduce the electricity bill to have a huge saving in the electricity cost. This paper proposes an energy management system for such an industrial microgrids. The decisions to charge and discharge the BESS in the proposed energy management are usually constrained by the size of the energy storage. The proposed energy management strategy aims to optimize the operation of the industrial microgrids subject to the scalability of the BESS under uncertainties. The proposed optimization involves two stages. In the first stage of optimization, it determines the optimum size of the energy storage taking into account the cost of the BESS, and in the second stage, it minimizes the cost of the microgrid operation based on the decision made in the first stage. This proposed two-stage energy management strategy is formulated as a single stage linear program that incorporates stochastic scenarios for addressing uncertainties. In addition...

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Section: ) Distribution Transformationmentioning

confidence: 99%

“…The parameters for solar power based on the solar radiation, require conversion from the radiation profile to the generated power based on the installed solar power plants physical parameters [43].…”

Section: ) Parameter Conversionmentioning

confidence: 99%

An Integrated Energy Management Approach for the Economic Operation of Industrial Microgrids Under Uncertainty of Renewable Energy

Mohy-ud-din

Vu²,

Muttaqi

et al. 2020

IEEE Trans. on Ind. Applicat.

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“…Besides, with the development of renewable energy and integrated energy system, a large number of distributed energy resources have emerged in the system, including photovoltaic (PV) sources, energy coupling equipment, mobile power sources, and so on. In this case, some experts propose to utilize these flexible distributed resources to help DS resist extreme disasters from the perspective of operation capability improvement [6][7][8][9][10][11][12][13][14][15][16][17]. For example, Reference [6] adopted microgrids with distributed generators to recover the important loads after natural disasters considering the uncertainties of wind power, solar power, and load demand.…”

Section: Introductionmentioning

confidence: 99%

“…Besides a single power system, the coupling of power and transportation networks was considered by the authors of [13] to develop resilient recovery schemes, which make full use of repair crews, mobile power sources, and topology reconstruction technology of DS. However, these studies [6][7][8][9][10][11][12][13][14][15][16][17] mainly focus on the supply-side resources to enhance the power grid's capacity against disasters. Both the application of VOLUME XX, 2017 1 distributed power supply resources and network upgrade need substantial investment cost, and the power recovery capability improved by these two measures is limited.…”

Section: Introductionmentioning

confidence: 99%

Co-Optimization of Supply and Demand Resources for Load Restoration of Distribution System Under Extreme Weather

Zhu¹,

Zeng

et al. 2021

IEEE Access

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Her research interests include power system operation and integrated energy system planning.Bo Zeng (Member, IEEE) received the Ph.D. degree in electrical engineering from North China Electric Power University (NCEPU), Beijing, China, in 2014.He is currently an Associate Professor with the Department of Electrical and Electronic Engineering of NCEPU. His current research interests include demand response modeling, electric vehicle integration, and integrated energy system planning and operation.

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“…Different reliability indices, such as SAIDI, CAIDI, EENS, and ASAI, are used to measure the improvement in reliability. The reliability of EDN with DG sources has been assessed using the PSO approach is used to deal with complex formulations [17]. The focusing on system uncertainties and the appropriate restoration strategies.…”

Section: Introductionmentioning

confidence: 99%

Reliability Evaluation of Electric Distribution Network with Distributed Generation Integrated

Jaleel¹,

Kdair²

2021

IJIES

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The electrical power system, especially that of the Electric Distribution Network (EDN) is more complex for the rapid deployment and penetration of Distributed Generation (DG). The DGs in the EDN are vulnerable to faults, and the reliability index considered is a critical factor in the work continuation of the EDN. The Particle Swarm Optimization (PSO) is modified to restrict the particle velocities when it runs to obtain the optimum solution for DG placement and capacity in the distribution network. This modification prevents the velocities from reach an acceptable level within a few iterations. This paper presents a new approach and good analysis to the evaluation of reliability and estimates the optimal location and capacity of the DGs units with multi-objective functions for power loss reduction and improves voltage profile. The optimization approach is based on the new Modified Particle Swarm Optimization (MPSO) for decision-making on strategic distribution system points for location and capacity of DGs using Matlab software.In this study, reliability is evaluated using the "Electrical Transient Analyzer Program, ETAP" and applied on an IEEE 33-bus test system. The obtained results of the proposed approach show superior on the other methods a reduction in real power losses by (60.13%) and an improvement in voltage profile by (88.34%).

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Distribution System Restoration With Renewable Resources for Reliability Improvement Under System Uncertainties

Cited by 46 publications

References 34 publications

An Integrated Energy Management Approach for the Economic Operation of Industrial Microgrids Under Uncertainty of Renewable Energy

An Integrated Energy Management Approach for the Economic Operation of Industrial Microgrids Under Uncertainty of Renewable Energy

Co-Optimization of Supply and Demand Resources for Load Restoration of Distribution System Under Extreme Weather

Reliability Evaluation of Electric Distribution Network with Distributed Generation Integrated

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