An External Archive-Based Constrained State Transition Algorithm for Optimal Power Dispatch

This paper proposes an external archive-based constrained state transition algorithm (EA-CSTA) with a preference trade-off strategy for solving the power dispatch optimization problem in the electrochemical process of zinc (EPZ). The optimal power dispatch problem aims to obtain the optimal current density schedule to minimize the cost of power consumption with some rigorous technology and production constraints. The current density of each production equipment in different power stages is restricted by technology and production requirements. In addition, electricity price and current density are considered comprehensively to influence the cost of power consumption. In the process of optimization, technology and production restrictions are difficult to be satisfied, which are modeled as nonconvex equality constraints in the power dispatch optimization problem. Moreover, multiple production equipment and different power supply stages increase the amount of decision variables. In order to solve this problem, an external archive-based constrained state transition algorithm (EA-CSTA) is proposed. The external archive strategy is adopted for maintaining the diversity of solutions to increase the probability of finding the optima of power dispatch optimization problem. Moreover, a preference trade-off strategy is designed to improve the global search performance of EA-CSTA, and the translation transformation in state transition algorithm is modified to improve the local search ability of EA-CSTA. Finally, the experimental results indicate that the proposed method is more efficient compared with other approaches in previous papers for the optimal power dispatch. Furthermore, the proposed method significantly reduces the cost of power consumption, which not only guides the production process of zinc electrolysis but also alleviates the pressure of the power grid load.

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Optimal Power Dispatch of Small-Scale Standalone Microgrid Located in Colombian Territory

Energies ◽

10.3390/en11071877 ◽

2018 ◽

Vol 11 (7) ◽

pp. 1877 ◽

Cited By ~ 1

Author(s):

Andrés Henao-Muñoz ◽

Andrés Saavedra-Montes ◽

Carlos Ramos-Paja

Keyword(s):

Energy Management ◽

Heuristic Algorithm ◽

Power Supply ◽

Management System ◽

Optimization Problem ◽

Small Scale ◽

Energy Management System ◽

Optimal Power ◽

Power Dispatch ◽

The Cost

An optimal power dispatch of a small-scale standalone microgrid for remote area power supply in Colombian territory is proposed in this paper. The power dispatch is generated by an energy management system based on a mixed-integer linear programming, which minimizes the cost of operating the microgrid while fulfilling the technical constraints of its elements. The energy management system solves an optimization problem using the algebraic representation of the generators and its constraints. Basic steady-state models of the generators are selected to solve the optimization problem. The small-scale microgrid is considered for a remote area power supply in Taroa, a small settlement in La Guajira, Colombia. The microgrid is composed of photovoltaic modules, a wind generator, a diesel generator, a battery bank, and residential loads. To validate the solution, the elements of the microgrids are parameterized with information from commercial equipment. Moreover, the power dispatch obtained with the proposed solution is compared with a power dispatch generated by a heuristic algorithm, which has been previously used to dispatch power in a small-scale standalone microgrid. Results show that the cost of operating the microgrid is minimized using the proposed optimization approach: a reduction of the operating cost equal to 25.5% of the cost imposed by the heuristic algorithm is obtained.

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Power Consumption Prediction for Dynamic Adjustment in Hydrocracking Process Based on State Transition Algorithm and Support Vector Machine

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-70139-4_9 ◽

2017 ◽

pp. 85-94 ◽

Cited By ~ 1

Author(s):

Xiao-Fang Chen ◽

Ying-Can Qian ◽

Ya-Lin Wang

Keyword(s):

Support Vector Machine ◽

Power Consumption ◽

State Transition ◽

Support Vector ◽

Dynamic Adjustment ◽

Hydrocracking Process ◽

State Transition Algorithm ◽

Power Consumption Prediction ◽

Consumption Prediction

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A neighborhood‐adaptive state transition algorithm for operational optimization of residue hydrogenation fractionation process

International Journal of Energy Research ◽

10.1002/er.6607 ◽

2021 ◽

Author(s):

Yalin Wang ◽

Kemin Yi ◽

Kai Wang ◽

Xiaofeng Yuan

Keyword(s):

State Transition ◽

Fractionation Process ◽

Operational Optimization ◽

State Transition Algorithm

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CFD Simulation of a Hyperloop Capsule Inside a Low-Pressure Environment Using an Aerodynamic Compressor as Propulsion and Drag Reduction Method

Applied Sciences ◽

10.3390/app11093934 ◽

2021 ◽

Vol 11 (9) ◽

pp. 3934

Author(s):

Federico Lluesma-Rodríguez ◽

Temoatzin González ◽

Sergio Hoyas

Keyword(s):

Shock Waves ◽

Power Consumption ◽

High Speed ◽

Cfd Simulation ◽

Aerodynamic Drag ◽

Flow Behavior ◽

Critical Conditions ◽

Vehicle Speed ◽

Blockage Ratio ◽

The Cost

One of the most restrictive conditions in ground transportation at high speeds is aerodynamic drag. This is even more problematic when running inside a tunnel, where compressible phenomena such as wave propagation, shock waves, or flow blocking can happen. Considering Evacuated-Tube Trains (ETTs) or hyperloops, these effects appear during the whole route, as they always operate in a closed environment. Then, one of the concerns is the size of the tunnel, as it directly affects the cost of the infrastructure. When the tube size decreases with a constant section of the vehicle, the power consumption increases exponentially, as the Kantrowitz limit is surpassed. This can be mitigated when adding a compressor to the vehicle as a means of propulsion. The turbomachinery increases the pressure of part of the air faced by the vehicle, thus delaying the critical conditions on surrounding flow. With tunnels using a blockage ratio of 0.5 or higher, the reported reduction in the power consumption is 70%. Additionally, the induced pressure in front of the capsule became a negligible effect. The analysis of the flow shows that the compressor can remove the shock waves downstream and thus allows operation above the Kantrowitz limit. Actually, for a vehicle speed of 700 km/h, the case without a compressor reaches critical conditions at a blockage ratio of 0.18, which is a tunnel even smaller than those used for High-Speed Rails (0.23). When aerodynamic propulsion is used, sonic Mach numbers are reached above a blockage ratio of 0.5. A direct effect is that cases with turbomachinery can operate in tunnels with blockage ratios even 2.8 times higher than the non-compressor cases, enabling a considerable reduction in the size of the tunnel without affecting the performance. This work, after conducting bibliographic research, presents the geometry, mesh, and setup. Later, results for the flow without compressor are shown. Finally, it is discussed how the addition of the compressor improves the flow behavior and power consumption of the case.

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Optimal Reactive Power Dispatch Optimization Using STATCOM

Journal of The Institution of Engineers (India) Series B ◽

10.1007/s40031-021-00537-1 ◽

2021 ◽

Vol 102 (2) ◽

pp. 277-293

Author(s):

Sandeep Bhongade ◽

Aakash Tomar

Keyword(s):

Reactive Power ◽

Optimal Reactive Power Dispatch ◽

Power Dispatch ◽

Reactive Power Dispatch ◽

Dispatch Optimization

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Adaptive and Predictive Energy Management Strategy for Online Optimal Power Dispatch from VPPs with Renewable Energy and Energy Storage

2020 IEEE Industry Applications Society Annual Meeting ◽

10.1109/ias44978.2020.9334772 ◽

2020 ◽

Author(s):

G. Mohy-ud-din ◽

K. M. Muttaqi ◽

D. Sutanto

Keyword(s):

Renewable Energy ◽

Energy Storage ◽

Energy Management ◽

Management Strategy ◽

Energy Management Strategy ◽

Optimal Power ◽

Power Dispatch

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Exploring the Cost Effectiveness of Shared Decision Making for Choosing between Disease-Modifying Drugs for Relapsing-Remitting Multiple Sclerosis in the Netherlands: A State Transition Model

Medical Decision Making ◽

10.1177/0272989x20961091 ◽

2020 ◽

Vol 40 (8) ◽

pp. 1003-1019

Author(s):

Ingrid E. H. Kremer ◽

Mickael Hiligsmann ◽

Josh Carlson ◽

Marita Zimmermann ◽

Peter J. Jongen ◽

...

Keyword(s):

Decision Making ◽

Cost Effectiveness ◽

Shared Decision Making ◽

State Transition ◽

Transition Model ◽

Shared Decision ◽

Relapsing Remitting ◽

State Transition Model ◽

The Cost ◽

Relapsing Remitting Multiple Sclerosis

Background Up to 31% of patients with relapsing-remitting multiple sclerosis (RRMS) discontinue treatment with disease-modifying drug (DMD) within the first year, and of the patients who do continue, about 40% are nonadherent. Shared decision making may decrease nonadherence and discontinuation rates, but evidence in the context of RRMS is limited. Shared decision making may, however, come at additional costs. This study aimed to explore the potential cost-effectiveness of shared decision making for RRMS in comparison with usual care, from a (limited) societal perspective over a lifetime. Methods An exploratory economic evaluation was conducted by adapting a previously developed state transition model that evaluates the cost-effectiveness of a range of DMDs for RRMS in comparison with the best supportive care. Three potential effects of shared decision making were explored: 1) a change in the initial DMD chosen, 2) a decrease in the patient’s discontinuation in using the DMD, and 3) an increase in adherence to the DMD. One-way and probabilistic sensitivity analyses of a scenario that combined the 3 effects were conducted. Results Each effect separately and the 3 effects combined resulted in higher quality-adjusted life years (QALYs) and costs due to the increased utilization of DMD. A decrease in discontinuation of DMDs influenced the incremental cost-effectiveness ratio (ICER) most. The combined scenario resulted in an ICER of €17,875 per QALY gained. The ICER was sensitive to changes in several parameters. Conclusion This study suggests that shared decision making for DMDs could potentially be cost-effective, especially if shared decision making would help to decrease treatment discontinuation. Our results, however, may depend on the assumed effects on treatment choice, persistence, and adherence, which are actually largely unknown.

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Optimal design of water distribution networks by a discrete state transition algorithm

Engineering Optimization ◽

10.1080/0305215x.2015.1025775 ◽

2015 ◽

Vol 48 (4) ◽

pp. 603-628 ◽

Cited By ~ 24

Author(s):

Xiaojun Zhou ◽

David Y. Gao ◽

Angus R. Simpson

Keyword(s):

Optimal Design ◽

Water Distribution ◽

State Transition ◽

Distribution Networks ◽

Water Distribution Networks ◽

Discrete State ◽

State Transition Algorithm

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The Calculation of Photovoltaic System Generation Access Capacity in Distribution Network Based on Probabilistic Power Flow and the PSO Optimization

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.529.371 ◽

2012 ◽

Vol 529 ◽

pp. 371-375

Author(s):

Lu Yao Ma ◽

Shu Jun Yao ◽

Yan Wang ◽

Jing Yang ◽

Long Hui Liu

Keyword(s):

Distributed Generation ◽

Power Flow ◽

Optimization Problem ◽

Flow Model ◽

Expansion Method ◽

Pso Algorithm ◽

Photovoltaic System ◽

System Generation ◽

Probabilistic Power Flow ◽

The Cost

With the distributed generation such as photovoltaic power system (PVS) is largely introduced into power grid, some significant problems such as system instability problem increase seriously. In order to make full use of PVS and make sure the voltage exceeding probability is limited within a certain range to ensure the power quality, as well as consider the cost of access device, the suitable PVS access node and capacity is important. Based on this problem, this paper establishes the probabilistic power flow model of PVS by introducing the combined Cumulants and the Gram-Charlier expansion method. Also, to solve the nonlinear combinatorial optimization problem, this paper uses PSO algorithm. Finally to get the suitable PVS access node and capacity, also calculate the solution of voltage exceeding probability.

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