Coordinated Optimization Model of Planning and Operation of Integrated Energy System Based on Mixed Integer Programming

Integrated energy systems can provide a more efficient supply than individual systems by using resources such as cogeneration. To foster efficient management of these systems, the flexible operation of cogeneration resources should be considered for the generation expansion planning model to satisfy the varying demand of energy including heat and electricity, which are interdependent and present different seasonal characteristics. We propose an optimization model of the generation expansion planning for an integrated energy system considering the feasible operation region and efficiency of a combined heat and power (CHP) resource. The proposed model is formulated as a mixed integer linear programming problem to minimize the sum of the annualized cost of the integrated energy system. Then, we set linear constraints of energy resources and describe linearized constraints of a feasible operation region and a generation efficiency of the CHP resource for application to the problem. The effectiveness of the proposed optimization problem is verified through a case study comparing with results of a conventional optimization model that uses constant heat-to-power ratio and generation efficiency of the CHP resource. Furthermore, we evaluate planning schedules and total generation efficiency profiles of the CHP resource for the compared optimization models.

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Mathematical mixed-integer programming for solving a new optimization model of selective image restoration: modelling and resolution by CHN and GA

Circuits Systems and Signal Processing ◽

10.1007/s00034-018-0950-1 ◽

2018 ◽

Vol 38 (5) ◽

pp. 2072-2096 ◽

Cited By ~ 1

Author(s):

Nour-eddine Joudar ◽

Mohamed Ettaouil

Keyword(s):

Integer Programming ◽

Image Restoration ◽

Mixed Integer Programming ◽

Optimization Model ◽

Mixed Integer

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Optimal Distributed Generator Allocation in Active Distribution Network Considering Reconfiguration

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.672-674.1117 ◽

2014 ◽

Vol 672-674 ◽

pp. 1117-1122

Author(s):

Yu De Yang ◽

Hong Bo Xie

Keyword(s):

Integer Programming ◽

Mixed Integer Programming ◽

Branch And Bound ◽

Distribution Network ◽

Mixed Integer ◽

Branch And Bound Method ◽

Allocation Model ◽

Distributed Generator ◽

Active Distribution Network ◽

Planning And Operation

For the structure of active distribution network can flexibly adjust, an optimal distributed generator allocation model considering reconfiguration is proposed. This model is implemented in the GAMS software and solved using SBB solver based on branch and bound method, due to it is a 0-1 nonlinear mixed integer programming. IEEE 33 standard example is used to simulate for this model. Results show that reconfiguration can increase the capacity of absorbing DG, providing thoughts and guidance for confirming the capacity of DG, and for planning and operation of active distribution network.

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Scheduling Additional Train Unit Services on Rail Transit Lines

Mathematical Problems in Engineering ◽

10.1155/2014/954356 ◽

2014 ◽

Vol 2014 ◽

pp. 1-13 ◽

Cited By ~ 2

Author(s):

Zhibin Jiang ◽

Yuyan Tan ◽

Özgür Yalçınkaya

Keyword(s):

Integer Programming ◽

Mixed Integer Programming ◽

Optimization Model ◽

Mixed Integer ◽

Rail Transit ◽

Mip Model ◽

Time Periods ◽

Transit Agencies ◽

Integration Strategies ◽

Special Time

This paper deals with the problem of scheduling additional train unit (TU) services in a double parallel rail transit line, and a mixed integer programming (MIP) model is formulated for integration strategies of new trains connected by TUs with the objective of obtaining higher frequencies in some special sections and special time periods due to mass passenger volumes. We took timetable scheduling and TUs scheduling as an integrated optimization model with two objectives: minimizing travel times of additional trains and minimizing shifts of initial trains. We illustrated our model using computational experiments drawn from the real rail transit line 16 in Shanghai and reached results which show that rail transit agencies can obtain a reasonable new timetable for different managerial goals in a matter of seconds, so the model is well suited to be used in daily operations.

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Analysis of Drone Fleet Type and Quantity for Medical Package Distribution in Emergency System

Modern Electronic Technology ◽

10.26549/met.v4i1.3239 ◽

2020 ◽

Vol 4 (1) ◽

pp. 12

Author(s):

Yujie Jiang ◽

Shizhong Ma ◽

Shilong Zhu

Keyword(s):

Puerto Rico ◽

Integer Programming ◽

Mixed Integer Programming ◽

Optimization Model ◽

Programming Model ◽

Mixed Integer ◽

Iso Standard ◽

Multi Objective ◽

Emergency Medical ◽

Emergency System

In order to cope with the disasters caused by the worst hurricane in Puerto Rico in 2017, it is necessary to build an emergency system to reduce the losses. An emergency system should include the location of ISO standard dry cargo containers and the distribution of emergency medical packages. This paper discusses the distribution of emergency medical package. Based on the above location results of ISO standard dry cargo container, taking the demand of disaster areas not exceed its supply into consideration and considering the timeliness and weak economy, a multi-objective mixed integer programming model is constructed on the premise of minimum transportation time and cost. It is determined that the drone fleet consists of four B, one C and one F drones. Through the optimization model, the distribution plan of emergency medical packages is formulated.

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