Two ways of estimating a transport model

In this article, it is shown how the parameters of a transport model can be estimated in a way that, in contrast to previously used methods, utilizes regional prices as well as of trade costs. The proposed method uses bi-level programming to minimize a weighted least squares' criterion under the restriction that the estimated parameters satisfy the Kuhn-Tucker conditions for an optimal solution of the transport model. We use Monte-Carlo simulations to trace out some properties of the estimator and compare it with a traditional calibration method. The analysis shows that the proposed technique estimates prices as well as trade costs more efficiently.Public Economics,

Two Ways of Estimating a Transport Model

In this article, it is shown how the parameters of a transport model can be estimated in a way that, in contrast to previously used methods, utilizes observations of regional prices as well as of trade costs. The proposed method uses bi-level programming to minimize a weighted least squares criterion under the restriction that the estimated parameters satisfy the Kuhn-Tucker conditions for an optimal solution of the transport model. We use Monte-Carlo simulations to trace out some properties of the estimator and compare it with a traditional calibration method. The analysis shows that the proposed technique estimates prices as well as trade costs more efficiently.spatial equilibrium, transport model, bi-level programming, Research Methods/ Statistical Methods, C15, F11,

Two- stage stochastic operation framework for optimal management of the water- energy- hub

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/166193/1/gtd2bf02716.pd

Time-dependent discrete road network design with both tactical and strategic decisions

This paper aims to model and investigate the discrete urban road network design problem, using a multi-objective time-dependent decision-making approach. Given a base network made up with two-way links, candidate link expansion projects, and candidate link construction projects, the problem determines the optimal combination of one-way and two-way links, the optimal selection of capacity expansion projects, and the optimal lane allocations on two-way links over a dual time scale. The problem considers both the total travel time and the total CO emissions as the two objective function measures. The problem is modelled using a time-dependent approach that considers a planning horizon of multiple years and both morning and evening peaks. Under this approach, the model allows determining the sequence of link construction, the expansion projects over a predetermined planning horizon, the configuration of street orientations, and the lane allocations for morning and evening peaks in each year of the planning horizon. This model is formulated as a mixed-integer programming problem with mathematical equilibrium constraints. In this regard, two multi-objective metaheuristics, including a modified non-dominated sorting genetic algorithm (NSGA-II) and a multi-objective B-cell algorithm, are proposed to solve the above-mentioned problem. Computational results for various test networks are also presented in this paper.postprin

Development and integration of three phase unbalanced voltage stability index into multi-objective optimization for distribution system planning

The electric distribution power systems in the United States have typically been designed to operate radially. With the increasing integration of renewable energies (small-scale generation), and microgrids, distribution systems are slowly moving towards meshed or loop systems for higher reliability. As the distributed generation is being incorporated into the meshed distribution networks, voltage stability will be a critical issue. The voltage stability studies are imperative in maintaining stable operating conditions. This thesis utilizes the three-phase current injection method, three-phase unbalanced continuation power flow (CPF), and voltage stability indices (VSI’s) for distribution systems planning studies. The voltage stability of distribution systems can be analyzed using the developed VSI. The results from the CPF program are used to validate the VSI and furthermore allow for voltage stability analysis. This VSI is integrated with a multi-objective problem for distribution systems that considers various mathematical equilibrium constraints and design issues regarding distributed generation penetration using price stability and voltage stability. Several different scenarios have been analyzed using a modified and expanded IEEE 13 bus test system to demonstrate the effectiveness of developed optimizations architecture including a quick voltage stability measurement. The optimization is focused on maximizing the penetration of distributed generation, maximizing the social benefit, and minimizing the cost in the system. These scenarios include distributed energy resources at different penetration levels. Results demonstrate the importance and usefulness of applying optimization techniques with voltage stability constraints for planning purposes. The results are validated by comparing the system generation and pricing with and without optimization