http://manuscript.elsevier.com/S0377221721005397/pdf/S0377221721005397.pdf

Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems

Security-Constrained generation and transmission expansion planning based on optimal bidding in the energy and reserve markets

This paper proposes a two-stage framework to solve the long-term transmission network expansion planning (TNEP) problem ensuring user-defined reliability levels and wind curtailment over the planning horizon In the first stage, the static TNEP (S-TNEP) problem is solved to define where a set of new lines must be installed at the end of planning horizon In the second stage, a multistage procedure is performed to solve the dynamic TNEP (D-TNEP) in order to determine the moment that each transmission line should be built Both S-TNEP and D-TNEP are decomposed into investment decision and performance assessment through a bi-level scheme based on Benders decomposition; thus, the reliability is considered and evaluated over the planning process The reliability and performance indexes are obtained through the non-chronological Monte Carlo simulation considering the random behavior of transmission lines failures, load fluctuations and uncertainties over wind availability The loss of wind probability performance index is introduced to measure the probability of wind curtailment in each connection point of the system, and it is used to prevent wind farms from being underused The proposed methodology is tested in modified versions of the 24-bus IEEE reliability test system and the IEEE 118-bus test system

Reliability-constrained dynamic transmission expansion planning considering wind power generation

Generation and transmission expansion increase the flexibility of power systems and hence their ability to deal with contingency. This paper presents a resilient-constrained generation and transmission expansion planning (RCGTEP) model considering the occurrence of earthquakes and floods. The proposed model minimizes the investment and operation costs of resiliency sources (RSs) and resiliency (blackout) costs arising from the outage of the network against the occurrence of extreme conditions. For further consideration, uncertainties of load and RSs availability are included as a Stochastic programming model. A hybrid solver of teaching-learning-based optimization (TLBO) and krill herd optimization (KHO) is used to solve the proposed problem and achieve the optimal solution, including a low standard deviation in the final optimal response. The model is tested using a modified version of the IEEE 6-Bus and IEEE 89-Bus transmission networks. Numerical results show the potential of the mentioned approach to improve indices of operation, economics, and resiliency in the transmission network. 

https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/gtd2.12646

Co‐planning of generation and transmission expansion planning for network resiliency improvement against extreme weather conditions and uncertainty of resiliency sources

The purpose of this study is to address the efficiency of power losses representation while still reducing the computational burden of an optimal power flow (OPF) model in transmission expansion planning (TEP) studies.,A modified TEP model is formulated with inclusions of linearized approximation of power losses for a large-scale power system with renewable energy sources. The multi-objectives function determines the effect of transmission line losses on the optimal power generation dispatch in the power system with and without inclusion of renewable energy sources with emphasis on minimizing the investment and operation costs, emission and the power losses.,This study investigates the impact of renewable energy sources on system operating characteristics such as transmission power losses and voltage profile. Sensitivity analysis of the performance for the developed deterministic quadratic programming models was analyzed based on optimal generated power and losses on the system.,In the future, a comparison of the alternating current OPF and direct current (DC) OPF models based on the proposed mathematical formulations can be carried out to determine the efficiency and reduction of computation process of the two models.,This paper proposed an accurate way of computing transmission losses in DC OPF for a TEP context with a view of achieving a minimal computation time.,This paper addresses the following objectives: develop a modified DC OPF with a linearized approximation of power losses in TEP problem with large integration of RES. Investigate the impact of RES on system operating characteristics such as transmission power losses and voltage profile.

Optimal planning of renewable energy systems for power loss reduction in transmission expansion planning

Long term planning in power transmission network expansion provides a well ordered and profitable extension of power equipment and facilities to meet the expected electric energy demand with an allowable degree of reliability. However, high quality and improved reliability in energy supply have to be balanced with the available funds. The need to expand transmission network can never be over emphasized. Transmission Network Expansion Planning (TNEP) is a periodical measure that must be carried out due to dynamic societies that attract extra energy demands. It is highly important to minimize the network reinforcement and operational costs while satisfying the increase in demand imposed by technical and economic conditions over the planning horizon. Several optimization algorithms for TNEP problems have been developed and applied over the past decades. This paper presents a comprehensive state-of-the-art survey on the TNEP optimization algorithms. The approach of this paper is in the area of highlights of the various available TNEP algorithms, their applications, viability, computational complexities and drawbacks, which can aid in the identifications of the proper methods that can yield an optimal solution to TNEP problem.

/pdf/a-comprehensive-state-of-the-art-survey-on-the-transmission-4uc1f1izso.pdf

A Comprehensive State-of-the-Art Survey on the Transmission Network Expansion Planning Optimization Algorithms

Gait disorder is a deviation from the smooth and normal walking pattern. Loss of balance which greatly contributes to fall, a prevalent cause of reduced life expectancy and premature death of aging persons, is closely related to a disordered gait. Augmentative assistive mobility devices such as canes, crutches and walkers, have been employed in the rehabilitation of gait dysfunction and other mobility impairments. The rate of abandonment of these devices due to difficulty and cumbersomeness in their usage has recently directed the focus of researchers in the area of design of robotic walkers. This paper presents a review of the different existing literatures in the area of the dynamic model of wheeled mobile robot, human-robot interface design, and control algorithm formulation for assistive mobility tasks as it relates to holonomic robotic walker design.

Development of a Holonomic Robotic Wheeled Walker for Persons with Gait Disorder

/pdf/investigating-the-impacts-of-lateraland-angular-2gc642setk.pdf

Investigating the Impacts of Lateraland Angular Misalignments betweenCircular Filaments

Wireless transfer of electrical energy between air-cored circular coils can be achieved using contactless inductive power transfer (CIPT) system. Notwithstanding, the aim of designing CIPT systems is not always realized because of coil misalignments between the primary and the secondary coils. Based on this information, the author of this paper analyses the effects of lateral and angular misalignments on the magnetic field and the magnetic force between filamentarycircularcoilswhicharearbitrarilypositionedinspace.Thisinvestigation is achieved based on advanced and relevant models formulated in the literature. Detailed results obtained using SCILAB application software is given.

/pdf/effects-of-coil-misalignments-on-the-magnetic-field-and-512f2qfsbg.pdf

Effects of Coil Misalignments on the Magnetic Field and Magnetic Force Components between Circular Filaments

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Papers

A Comprehensive State-of-the-Art Survey on the Transmission Network Expansion Planning Optimization Algorithms

Development of a Holonomic Robotic Wheeled Walker for Persons with Gait Disorder

Investigating the Impacts of Lateraland Angular Misalignments betweenCircular Filaments

Effects of Coil Misalignments on the Magnetic Field and Magnetic Force Components between Circular Filaments