Abstract

It poses high requirements for the calculation speed and the precision of the solving method when we consider the large-scale transmission expansion planning (TEP) problems. Therefore, combined with the respective characteristics of EDA (Distribution of Estimation Algorithm) and DE (Differential Evolution algorithm), this paper puts forward a new hybrid EDA/DE algorithm for large-scale TEP problems. Meanwhile, it improves the updating mechanism of probabilistic model of EDA based on the characteristics of the TEP problems. Considering the investments of grid company, the new energy incentive politics and network security constraints, this paper proposes a multi-objective static planning model for the TEP considering wind power penetration, which takes the comprehensive cost, the wind curtailment and the risk value into consideration. Finally, a specific example is applied in this paper to verify the applicability and effectiveness of the proposed model and algorithm.

Introduction

Transmission expansion planning (TEP) occupies an important place in the electric power system planning, and its crucial mission is to expand the transmission grid according to the load forecasting and generation development. Then the future grid can meet the power transport demand, ensuring the safety and economy as well as reliability of the target electric power grid. With the rapid development of wind power industry and ris ing injection for the grid, the fluctuant and intermittent output of wind plants has been a crucial challenge[l]. Recently, researches on TEP model coordinated with wind power penetration are mainly focused on objective functions, constraints and approaches for TEP solving. The economic benefit is still an important objective for TEP model to be concerned with, mainly including the investment cost, operation maintenance cost, social welfare, environmental benefit as well as power outage cost.