Solving financial allocation problem in distribution system expansion planning (original) (raw)

This paper introduces a new technique to solve financial allocation in Distribution System Expansion Planning (DSEP) problem. The proposed technique will be formulated by using mean-variance analysis (MVA) approach in the form of mixed-integer programming (MIP) problem. It consist the hybridization of Hopfield Neural Network (HNN) and Boltzmann Machine (BM) in first and second phase respectively. During the execution at the first phase, this model will select the feasible units meanwhile the second phase will restructured until it finds the best solution from all the feasible solution. Due to this feature, the proposed model has a fast convergence and the accuracy of the obtained solution. This model can help planners in decision-making process since the solutions provide a better allocation of limited financial resources and offer the planners with the flexibility to apply different options to increase the profit. 1. INTRODUCTION As per present, scenario demand of electric power generation is increasing. Due to the increasing demands, several power supply failures might cause major social losses. Failures are caused by many factors such as type, design, weather condition or geographical location. The distribution system is the most extensive part of the electrical system, and consequently, it is the mainly responsible for energy losses [1-3]. Thus, a meticulous distribution system expansion planning (DSEP) must be provided to supply reliable electricity to consumers. Power system planning is defined as a process of determining a minimum cost strategy for long-range expansion of the generation, transmission and distribution systems so that it is sufficient enough to supply the load forecast within a set of technical, economic and political constraint [4]. As for DSEP, the goal is to fulfill electricity load increment at the lowermost cost and consumer's reliability desires with a level of satisfaction [5]. One of the important factors in the DSEP is included with well-calculated or analyzed investment planning that allowed by the planners. The planners plan a strategic decision related to a whole power system network and also particular individual simultaneously. Nevertheless, planners faced a problem in deciding on how much a portfolio to allocate to the different type of assets. In this case, financial allocation plays a crucial role in solving the planner's problem. Its aim is to balance risk and reward by apportioning a portfolio asset according to an individual goals, risk tolerance and investment horizon [6, 7]. In real situations, financial allocation problems are complicated and non-linear programming problem which is hard to solve. One of the ways of tackling this problem is by using the artificial neural network (ANN) since it is a useful