An optimization method for sizing a solar/wind/battery hybrid power system based on the artificial immune system

Hatata, Ahmed Y.; Osman, Galal; Aladl, M.M.

doi:10.1016/j.seta.2018.03.002

Cited by 77 publications

(39 citation statements)

References 32 publications

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“…Responses created by the immune system that are of adaptive nature normally target the provoking antigens and thus, are referred to as antigen-specific [24]. In Algorithm 1, the pseudo code for Negative Selection Algorithm is demonstrated [26].…”

Section: 2 Abi Abi Abimentioning

confidence: 99%

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Fotohi

2020

Reliability Engineering & System Safety

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UASs form a large part of the fighting ability of the advanced military forces. In particular, these systems that carry confidential information are subject to security attacks. Accordingly, an Intrusion Detection System (IDS) has been proposed in the proposed design to protect against the security problems using the human immune system (HIS). The IDSs are used to detect and respond to attempts to compromise the target system. Since the UASs operate in the real world, the testing and validation of these systems with a variety of sensors is confronted with problems. This design is inspired by HIS. In the mapping, insecure signals are equivalent to an antigen that are detected by antibody-based training patterns and removed from the operation cycle. Among the main uses of the proposed design are the quick detection of intrusive signals and quarantining their activity. Moreover, SUAS-HIS method is evaluated here via extensive simulations carried out in NS-3 environment. The simulation results indicate that the UAS network performance metrics are improved in terms of false positive rate, false negative rate, detection rate, and packet delivery rate. detection methods to track and to eliminate. In specific, to increase the chance of successfully intercepting a ballistic missile, it is essential to have swift detection and tracking system, capable of detecting and tracking the missile right after it is launched. The designers working on ballistic missile defense networks are aiming the system to be capable of intercepting the missiles during their initial 2 to 5 minutes of flight, which is called the boost phase. During the boost phase, if the trajectory of the missile is directly away from the trajectory of the UAV, it will easily recede from the range of the sensors on the UAV. Hence, the routing of the information used in the network of the sensors of the ballistic missile should be addressed using networks of hybrid wireless sensors capable of complying with high availability and requirements mandated due to security. To demonstrate the UAVs' applications that have an innate time sensitivity, and to signify the urgency of providing security in communication channels, this case is discussed in the following paper [2,3]. However, despite the advantage's UAVs provide through various applications, since there are situations where no pilot monitors the activities, they are potentially vulnerable against cyber threats. This intensifies the emergence to design secure and reliable UASs and overcome the challenges to avoid damage and destruction to other systems as well as human lives [2,3].A number of attacks, such as Wormhole (WH), Black hole (BH), Gray hole (GH), and Fake Information Dissemination (FID), illegally penetrate the system. Once an unmanned system is affected by an attack, removing the threat and bringing the system back online is a laborious task. It should be mentioned that the common methods to secure information, such as encryption or intrusion detection [4], are inadequate when dealing with such risks. T...

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Section: 2 Abi Abi Abimentioning

confidence: 99%

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Fotohi

2020

Reliability Engineering & System Safety

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“…Artificial immune system (AIS) algorithms are applied in Aghaebrahimi et al and Hatata et al for finding optimal DGs placement and sizes by minimising the power losses of the network and taking cognisance of line current and bus voltage limits. Souza et al applied AIS to solve DG allocation problem while the uncertainty of load demands is included in distribution network planning.…”

Section: Optimisation Algorithms For Dg Allocation Planningmentioning

confidence: 99%

Towards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A review

2020

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Summary Integrating renewable energy hybrid distributed generation (REHDG) into distribution network systems (DNSs) has become increasingly important because of various technical, economic, and environmental advantages accruing from it. However, the output power of REHDGs from photovoltaic (PV) and wind is highly variable because of its dependency on intermittent parameters such as solar irradiance, temperature, and wind speed. Such variability of generated power from large‐scale REHDGs or load introduces small signal instabilities (oscillations). Meanwhile, different locations of integration and sizes of REHDGs in the DNS affect the system oscillation modes by either improving or depriving the small‐signal stability (SSS) of the network. Consequently, a significant number of research has been conducted on the planning of optimal allocation of REHDGs in DNS. In this regard, this paper reviews the existing planning models, optimisation techniques, and resources' uncertainty modelling employed in REHDGs allocations in terms of their capability in obtaining optimal solutions and enhancing SSS of the system. Planning models with optimisation algorithms are evaluated for modelling renewable resource uncertainties and curtailing SSS variables. Research works on planning of optimal allocation of these generations attain minimum cost, but were unable to satisfy the SSS requirements of the system. The existing models for the planning and design of optimal timing, sizing, and placement of REHDGs will need to be improved to optimally allocate REHDGs and satisfy the SSS of the DNS after the integration.

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“…Battery energy storage technique is widely used as the backup of renewable resource utilization . Other form of ESSs such as supercapacitors, flywheels, and SMES are known as fast‐response techniques with outstanding performances in short‐term wind fluctuations but do not have high energy density .…”

Section: System Modelingmentioning

confidence: 99%

“…There exists certain time difference between production phase and consumption phase of NGCWP, applying energy storage system (ESS) in wind farm can effectively store curtailed NGCWP and then supply it to local users, microgrid, and even the national grid to significantly mitigate wind curtailment and improve system cost‐effectiveness and reliability . Since hybrid energy storage system (HESS) with supplementary operating characteristics can be very beneficial when handling wind power inherently affected by uncertainty, numerous wind‐storage hybrid schemes have been investigated: solar‐wind‐battery, solar‐wind‐hydrogen, NGCWP‐battery‐supercapacitor, PV‐wind‐diesel‐battery, wind‐battery, and wind‐battery‐diesel . In literature, NGCWP‐battery‐SMES hybrid system is rarely found.…”

Section: Introductionmentioning

confidence: 99%

Collaboration strategy and optimization model of wind farm‐hybrid energy storage system for mitigating wind curtailment

Liu

Wei

Huang³

et al. 2019

Energy Science & Engineering

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Over the past years, wind energy has been considered as a promising solution for clean and sustainable energy development, but wind curtailment remains a challenge to wind power development. On this basis, utilization of non-grid-connected wind power becomes crucial and necessary as it can mitigate wind curtailment and improve energy efficiency. This paper proposes the collaboration strategy and optimization model of wind farm-hybrid energy storage system (WF-HESS) for nongrid-connected wind power based on battery and superconducting magnetic energy storage (SMES) whose combination can effectively cope with fluctuation and intermittence of wind input. The optimization problem is simultaneously investigated by the minimization of total cost, wind curtailment magnitude, and loss of power supply probability (LPSP). The multi-objective particle swarm optimization (MOPSO) is introduced to find available solutions, and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to determine the optimal one.Results are obtained for a case study, and the effectiveness and the feasibility of proposed model are verified by a comparative analysis and a sensitivity analysis.Results analysis and discussion show that the WF-HESS model and the application of HESS have important influence on promoting utilization of non-grid-connected wind power and mitigating wind curtailment. K E Y W O R D Shybrid energy storage system, multi-objective optimization, multi-objective particle swarm optimization, non-grid-connected wind power, wind curtailment

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An optimization method for sizing a solar/wind/battery hybrid power system based on the artificial immune system

Cited by 77 publications

References 32 publications

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Towards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A review

Collaboration strategy and optimization model of wind farm‐hybrid energy storage system for mitigating wind curtailment

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