Optimal resilient microgrids formation based on darts game theory approach and emergency demand response program for cyber-physical distribution networks considering natural disasters

Osman, Sally R.; Sedhom, Bishoy E.; Kaddah, Sahar S.

doi:10.1016/j.psep.2023.03.073

Cited by 12 publications

(4 citation statements)

References 34 publications

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“…References [4,27,28] investigated the optimal operation problem (OOP) while relying exclusively on Demand Side Response to enhance the performance of the electrical distribution network. However, a limitation of these studies is the lack of consideration for all uncertainties within the system.…”

Section: Contributionmentioning

confidence: 99%

Optimal Operation of Distribution Networks Considering Renewable Energy Sources Integration and Demand Side Response

Hachemi,

Sadaoui,

Saim

et al. 2023

Sustainability

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This paper demonstrates the effectiveness of Demand Side Response (DSR) with renewable integration by solving the stochastic optimal operation problem (OOP) in the IEEE 118-bus distribution system over 24 h. An Improved Walrus Optimization Algorithm (I-WaOA) is proposed to minimize costs, reduce voltage deviations, and enhance stability under uncertain loads, generation, and pricing. The proposed I-WaOA utilizes three strategies: the fitness-distance balance method, quasi-opposite-based learning, and Cauchy mutation. The I-WaOA optimally locates and sizes photovoltaic (PV) ratings and wind turbine (WT) capacities and determines the optimal power factor of WT with DSR. Using Monte Carlo simulations (MCS) and probability density functions (PDF), the uncertainties in renewable energy generation, load demand, and energy costs are represented. The results show that the proposed I-WaOA approach can significantly reduce costs, improve voltage stability, and mitigate voltage deviations. The total annual costs are reduced by 91%, from 3.8377 × 107 USD to 3.4737 × 106 USD. Voltage deviations are decreased by 63%, from 98.6633 per unit (p.u.) to 36.0990 p.u., and the system stability index is increased by 11%, from 2.444 × 103 p.u. to 2.7245 × 103 p.u., when contrasted with traditional methods.

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Section: Contributionmentioning

confidence: 99%

Optimal Operation of Distribution Networks Considering Renewable Energy Sources Integration and Demand Side Response

Hachemi,

Sadaoui,

Saim

et al. 2023

Sustainability

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“…To address these challenges, most existing studies focus on microgrid reconstruction to enhance the resiliency of the distribution network and its ability to cope with the impact of extreme weather events [5][6][7][8][9]. For instance, study [8] proposed a strategy of running network reconstruction during strong wind events to maximize the network's resiliency while minimizing line-switching operations.…”

Section: Introductionmentioning

confidence: 99%

“…Study [10] suggested a two-stage reconstruction algorithm with an analytical hierarchical process (AHP) calculating composite elasticity, to ensure the most cost-effective or efficient distribution system reconstruction strategy. A multi-objective microgrid reconfiguration optimization algorithm based on dart game theory is proposed in study [9], which aims to minimize total loss, load reduction, and total recovery costs while ensuring compliance with various topological and electrical constraints. The importance of emergency demand response planning (EDRP) is demonstrated using an improved IEEE 33 bus test system as an example.…”

Section: Introductionmentioning

confidence: 99%

Strategies for Improving the Resiliency of Distribution Networks in Electric Power Systems during Typhoon and Water-Logging Disasters

Ma,

Xu,

Wang

et al. 2024

Energies

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Coastal cities often face typhoons and urban water logs, which can cause power outages and significant economic losses. Therefore, it is necessary to study the impact of these disasters on urban distribution networks and improve their flexibility. This paper presents a method for predicting power-grid failure rates in typhoons and water logs and suggests a strategy for improving network elasticity after the disaster. It is crucial for the operation and maintenance of power distribution systems during typhoon and water-logging disasters. By mapping the wind speed and water depth at the corresponding positions in the evolution of wind and water logging disasters to the vulnerability curve, the failure probability of the corresponding nodes is obtained, the fault scenario is generated randomly, and the proposed dynamic reconstruction method, which can react in real-time to the damage the distribution system received, has been tested on a modified 33-node and a 118-node distribution network, with 3 and 11 distribution generators loaded, respectively. The results proved that this method can effectively improve the resiliency of the distribution network after a disaster compared with the traditional static reconstruction method, especially in the case of long-lasting wind and flood disasters that have complex and significant impacts on the distribution system, with about 26% load supply for the 33-node system and nearly 95% for the 118-node system.

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“…The authors of [48] have developed a hierarchical scheduling framework that aims to enhance the resilience of decentralized renewable‐based MGs. In [55] optimal resilient microgrids formation based on darts game theory approach and emergency demand response program for cyber‐physical distribution networks considering natural disasters have investigated. Here, a new multi‐objective microgrids formation method‐based darts game theory optimization algorithm is proposed.…”

Section: Introductionmentioning

confidence: 99%

A decentralized framework for economic‐resilient operation of networked microgrids, considering demand response program

Doostizadeh,

Jalili,

Babaee

2024

IET Renewable Power Gen

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The occurrence of natural disasters can disrupt the normal functioning of distribution networks. In this situation, the activeness of distribution networks in the sense of benefiting from energy sources and related structures such as microgrids (MGs) makes them benefit from the capability of structures such as MGs, in case of High‐Impact Low‐Probability (HILP) events, so that consumers are able to disconnect from main grid and trade with other MGs. Thus, the energy management of networked MGs needs a new operation structure to encourage them providing each other with the required energy by creating the necessary incentives. This paper presents a novel cooperative framework aimed at enhancing the resilience of MGs through the establishment of peer‐to‐peer (P2P) energy trading among their constituents. In the present model, MGs engage in energy transactions with one another, aiming to minimize costs through the cooperative operation of networked MGs. The utilization of the suggested model enables MGs to enhance network resilience within the framework of peer‐to‐peer energy transactions, while also achieving cost reductions in comparison to islanding and non‐cooperative operation. The numerical results obtained demonstrate the efficacy of the proposed methodology in enhancing the resilience of MGs and mitigating their operational expenses.

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Optimal resilient microgrids formation based on darts game theory approach and emergency demand response program for cyber-physical distribution networks considering natural disasters

Cited by 12 publications

References 34 publications

Optimal Operation of Distribution Networks Considering Renewable Energy Sources Integration and Demand Side Response

Optimal Operation of Distribution Networks Considering Renewable Energy Sources Integration and Demand Side Response

Strategies for Improving the Resiliency of Distribution Networks in Electric Power Systems during Typhoon and Water-Logging Disasters

A decentralized framework for economic‐resilient operation of networked microgrids, considering demand response program

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