Multi-objective Security Constrained Dynamic Optimal Dispatch With Regenerative Clean Energy

Abstract

A dynamically optimal dispatch model for power systems with regenerative clean energy (wind farms and PS stations) is proposed, and fuel consumption, emission of atmospheric pollutants and power purchase cost are taken as objectives. The network security constraints under basic status and N-1 outage and operation dispatch of pumped storage (PS) stations are considered. Moreover, the idea of checking-adding loop is used to handle network security constraints and improve the computational efficiency was enhanced. The normal boundary intersection (NBI) algorithm and interior point method are adopted to solve this model and a series of evenly distributed Pareto optimal sets are obtained. Because of the role of PS stations in peak load shifting load and coping with randomness of wind farm output, this complex model converges smoothly. Test results on a real provincial power system show that the proposed method can comprehensively consider the optimal compromise among security, economy and environmental protection of generation schedule, and can develop the functions of PS stations in shifting load and coping with randomness of wind farm output.