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Summary Developing countries like India necessitates installation of new power plants to meet the elevating electricity demand. Several single‐objective mathematical formulations are modeled and solved previously for short‐term and long‐term power generation expansion planning aiding power system planners to ensure optimal decision. The input data, such as forecasted demands, economic and technical data of the generating units are numerous and unmanageable to be analyzed manually. Modern power systems have faced major challenge in solving multiple objectives such as least cost and minimal greenhouse gas emissions simultaneously. This paper presents an application of multiobjective differential evolution algorithm to multistage, multiobjective generation expansion planning problem for Tamil Nadu, a state in India. The multiobjective generation expansion planning problem has been solved for short‐term (6 years) and long‐term (12 years) planning horizon by considering 8 different cases and also compared with Nondominated Sorting Genetic Algorithm version II.

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SUMMARY The optimal placement of Thyristor Controlled Series Compensators (TCSCs) in transmission systems is formulated as a multi‐objective optimization problem with the objectives of simultaneously maximizing transmission system loadability, minimizing transmission loss, minimizing the cost of TCSCs, and minimizing the voltage deviation at the load buses. The thermal limits of transmission lines and voltage limits of load buses are considered as security constraints. This problem is solved in two stages. In the first stage, multi‐objective particle swarm optimization, multi‐objective comprehensive learning particle swarm optimizer, and weighted sum method are applied to obtain the non‐dominated solutions. In the second stage, two different multi‐criterion decision‐making tools, namely Technique for Order Preference by Similarity to Ideal Solution and Fuzzy C‐Means clustering are employed to assist the decision maker in deciding the best trade‐off solution. The proposed approach is successfully tested on IEEE 14 bus system and IEEE 118 bus system. Copyright © 2011 John Wiley & Sons, Ltd.

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