Abstract
A multiperiod generation and transmission expansion planning (G&TEP) problem is considered. This model integrates conventional generation with renewable energy sources, assuming a stochastic approach. The proposed approach is based on a centralized planned transmission expansion. Due to the worldwide recent energy guidelines, it is necessary to generate expansion plans adequate to the forecast demand over the next years. Nowadays, in most energy systems, a public entity develops both the short and long of electricity-grid expansion planning. Due to the complexity of the problem, there are different strategies to find expansion plans that satisfy the uncertainty conditions addressed. We proposed to address the G&TEP problem with a pure genetic algorithm approach. Different constraint-handling techniques were applied to deal with two complex case studies presented. Numerical results are shown to compare the strategies used in the test systems, and key factors such as a prior initialization of population and the estimated minimum number of generations are discussed.
Highlights
Reasons for conducting a planning process are numerous
We propose to address the combined generation and transmission expansion planning (G&TEP) problem with a genetic algorithm dealing with this nonlinear complexity and high number of constraints with several techniques reported in literature [20]
We considered comparing the effectiveness of the pure genetic algorithm when the initial population is created randomly, but bounded; and in the case when the initial set of individuals is populated with an initial guess trying to fulfill with all constraints, as many as possible
Summary
Reasons for conducting a planning process are numerous. Some reasons that can potentially lead to a planning process are the following: (i) high costs for transport and storage equipment; (ii) high rate of accidents, failures, and breakdowns; (iii) bottlenecks, damage, or rejections in your production; (iv) out-of-date technical or infrastructural equipment, and so on. The first one is a complete replanning, and the second one is a planning that aims at modernizing your planning objective. The modernization planning is characterized by a high number of planning constraints, a lower amount of possible solutions, and a high rate of bythe-way-planning.
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