This paper proposes an application of Differential Evolution (DE) to Reactive Power Planning (RPP) problem. Simulation results, compared with those obtained by using the Real coded Genetic Algorithm (RGA) and Evolutionary Programming (EP) are presented to show that the present method is better for power system planning. In the case of optimization of non-continuous and nonsmooth function, DE gi...

transmission network expansion planning (tnep) is an important component of power system planning. itdetermines the characteristics and performance of the future electric power network and influences the powersystem operation directly. different methods have been proposed for the solution of the static transmissionnetwork expansion planning (stnep) problem till now. but in all of them, stnep pr...

Artificial Intelligence applications in large-scale industry, such as thermal power plants, require the ability to manage uncertainty because current applications are large, complex and influenced by unexpected events and their evolution in time. This paper shows some of the efforts developed at the Instituto de Investigaciones Eléctricas (IIE) to assist operators of thermal power plants in the...

the harmonic in distribution systems becomes an important problem due to an increase in nonlinear loads. this paper presents a new approach based on a graph algorithm for optimum placement of passive harmonic filters in a multi-bus system, which suffers from harmonic current sources. the objective of this paper is to minimize the network loss, the cost of the filter and the total harmonic disto...

GSA; Real power loss; Reactive power planning; FACTS; Optimization Abstract In this paper, Gravitational Search Algorithm (GSA) is used as optimization method in reactive power planning using FACTS (Flexible AC transmission system) devices. The planning problem is formulated as a single objective optimization problem where the real power loss and bus voltage deviations are minimized under diffe...

This paper proposes a multi-objective optimal planning model of access location and access capacity for large-scale integrated wind power generation considering the mutual restriction between the planning of large-scale wind power plants and the planning of power system network. In this model, the power flow equilibrium degree, investment costs and active network loss are taken as the optimizat...

Research effort has been given to find the optimal location and initial settings of Thyristor-Controlled Series Capacitor (TCSC) using Mixed-Integer Linear Programming (MILP). As a useful tool for combinatorial optimisation over integer and continuous variables, mixed-integer programming approach can provides robust performance as well as high computation efficiency when solving complex optimal...

In this paper a day-ahead planning algorithm for a multi-reservoir hydropower system coordinated with wind power is developed. Coordination applies to real situations, where wind power and hydropower are owned by different utilities, sharing the same transmission lines, though hydropower has priority for transmission capacity. Coordination is thus necessary to minimize wind energy curtailments ...