Research on multi-stage generation and transmission coordinated planning model considering wind power integration

Abstract

Decentralized planning mode of power generation and power transmission is facing enormous challenges at present, and all kinds of uncertainties that impact on the planning have become increasingly evident. To solve the two coordinated planning and development issues is imminent, proposing a coordinated planning model of generation and transmission to improve system stability and flexibility and reduce the uncertainties threat is significant. Combined with the Stackelberg game theory, this paper makes a two-stage coordinated planning model of generation and transmission, which can effectively provide decision makers with optimal program of investment decision, and control the investment risk of power system construction. And the this paper uses the Heuristic Artificial Fish Swarm Algorithm (HAFSA) to solve this model and illustrates our results using a 24-bus network example.