This paper presents a mixed-integer LP approach to the solution of the long-term transmission expansion planning problem. In general, this problem is large-scale, mixed-integer, nonlinear, and nonconvex. We derive a mixed-integer linear formulation that considers losses and guarantees convergence to optimality using existing optimization software. The proposed model is applied to Garver’s 6-bus...

With deregulation sweeping all over electrical systems around the world, transmission planning has undergone dramatic changes during this decade. Centralized cost allocation methods have become obsolete and new procedures are needed to deal with intelligent and self-sufficient players. In this paper we study the allocation of transmission costs in a decentralized manner. For this purpose we hav...

this study mainly focuses on enhancing the overall efficiency of gas transmission networks. the authors developed a model with detailed characteristics of compressor and pressure reduction stations. following this, they suggested three different systems with gas turbine including: organic rankine cycle (orc), air bottoming cycle (abc), and abc along with steam injection (si-abc). in addition, u...

This paper presents a multi-objective transmission expansion planning (TEP) framework. Rather than using the conventional deterministic reliability criterion, a risk component based on the probabilistic reliability criterion is incorporated into the TEP objectives. This risk component can capture the stochastic nature of power systems, such as load and wind power output variations, component av...

The efficiency of the classic planning methods for solving realistic problems largely relies on an accurate prediction of the future. Nevertheless, the presence of strategic uncertainties in current electricity markets has made prediction and even forecasting essentially futile. The new paradigm of decision-making involves two major deviations from the conventional planning approach. On one han...

In this formulation, the objective function and operating constraints include the corona power-loss term. The objective function consists of three terms: cost of investment of new transmission lines, ohmic power loss of new and existing lines, and corona-power loss of new lines. This combination of terms results in a non-linear objective function. The non-linear programming or the non-convex op...

Transmission planning in a restructured electricity market becomes increasingly complicated. To bridge the gap between economic and engineering considerations, this survey paper suggests a framework to clarify the interactions among various economic and engineering issues by reviewing recent theoretical and practical progress in transmission investment and transmission planning methodology. Thu...

This paper presents a genetic algorithm for solving the optimal transmission network applied to the expansion planning of Colombia’s system. Main improvements have been introduced in the genetic algorithm: initial population is obtained by constructive heuristic methods of optimization, and elitism and building block concepts are used in the optimization process. An important part of this optim...

Electricity transmission has become the pivotal industry segment for electricity restructuring. Yet, little is known about the shape of transmission cost functions. Reasons for this can be a lack of consensus about the definition of transmission output and the complexitity of the relationship between optimal grid expansion and output expansion. Knowledge of transmission cost functions could hel...