We propose a TransCo model for coordinating transmission expansion planning with competitive generation capacity planning in electricity markets. Our purpose is to provide a tool to simulate the equilibrium interplay regarding strategic decisions of a set of power producers and a single transmission operator. The solution represents an iterative process for defining the optimal transmission exp...

Transmission network expansion planning (TNEP) is a basic part of power system planning that determines where, when and how many new transmission lines should be added to the network. Up till now, various methods have been presented to solve the static transmission network expansion planning (STNEP) problem. But in all of these methods, lines adequacy rate has not been considered at the end of ...

In this paper, optimal generation expansion planning (GEP) is investigated considering purchase prices, profits of independent power producers (IPPs) and reliability criteria using a new method based on hybrid coded Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). In this approach, optimal purchase price of each IPP is obtained by HCGA and reliability criteria are calculated by PSO...

We discuss the energy generation expansion planning with environmental constraints, formulated as a nonsmooth convex constrained optimization problem. To solve such problems, methods suitable for constrained nonsmooth optimization need to be employed. We describe a recently developed approach, which applies the usual unconstrained bundle techniques to a dynamically changing “improvement functio...

For solving complex robot tasks it is necessary to incorpo rate path planning methods that are able to operate within di erent high dimensional con guration spaces containing an unknown number of obstacles Based on Advanced A algorithm AA using expansion matrices instead of a simple expansion logic we propose a further im provement of AA enabling the capability to learn directly from sample pla...

A model of purely reactive planning is proposed based on the concept of reactive action packages. A reactive action package, or RAP, can be thought of as an independent entity pursuing some goal in competition with many others at execution time. The RAP processing algorithm addresses the problems of execution monitoring and replanning in uncertain domains with a single, uniform representation a...

Introducing distributed generation into a power system can lead to numerous benefits including technical, economic, environmental, etc. To attain these benefits, distributed generators with proper rating should be installed at suitable locations. Given the similar effects of distributed generators and capacitor banks on operation indices of a distribution system, simultaneous assignment of best...

This paper investigates the use of ant-colony optimization, simulated annealing, and genetic algorithms for distribution network expansion planning (DNEP) including distributed generation (DG). It may be introduced as a combinatorial optimization method that determines the location and capacity of feeders and substations while minimizing the network loss and installation cost. In this paper, DG...

Introducing distributed generation into a power system can lead to numerous benefits including technical, economic, environmental, etc. To attain these benefits, distributed generators with proper rating should be installed at suitable locations. Given the similar effects of distributed generators and capacitor banks on operation indices of a distribution system, simultaneous assignment of best...

Recent years has seen intense analysis and questioning of the importance of the role of classical AI-planning in deciding moment-to-moment actions. This has led to development of several new AI-planning paradigms such as reactive planning [Fir87, GL87]. Informally, a planning paradigm refers to principles ofrepresenting an agent's acts, beliefs and expectations about concepts-relatingacts-to-co...