in order to improve the reliability of the power system, sufficient amount of new capacity should be installed in the network. usually generation units’ payoff in an energy market is not adequate to cover their expenses. therefore, energy only market cannot induce investors to invest in generation field. due to energy only market inefficiency, a supplementary algorithm is suggested to cover the...

A new market based approach for transmission expansion planning in deregulated environments is presented in this paper. In this approach, transmission-planning decisions are made based on the electric power market conditions. The main contribution of this research is 1) Introducing a new probabilistic tool for analyzing the electric market conditions, 2) Defining new criteria for ranking transm...

This paper presents a multi-agent Double Deep Q Network (DDQN) based on deep reinforcement learning for solving the transmission network expansion planning (TNEP) of high-penetration renewable energy source (RES) system considering uncertainty. First, K-means algorithm that enhances extraction quality variable wind and load power uncertain characteristics is proposed. Its clustering objective f...

Forecasting electric demand and its geographical distribution is a prerequisite to generate expansion planning scenarios for distribution planning. This paper presents a comprehensive methodology that uses a fuzzy inference model over a GIS support, to capture the behavior of influence factors on load growth patterns and map the potentia1 for development. The load growth is spread over maps wit...