Using Hybrid EP and Multi-Pass Dynamic Programming for Hydrothermal Coordination Considering Reasonable Spinning Reserve

This paper applies a hybrid evolutionary programming and multi-pass dynamic programming to solve the hydrothermal coordination problem considering reasonable spinning reserve requirements, where the spinning reserve requirements includes frequency regulating reserve requirements (FRRR) and instantaneous reserve requirements (IRR). The algorithm obtains the non-discrete states to substitute the discrete states of water volume levels at each time period and then determines an optimal generation schedule while achieving the minimum fuel cost of power system. The spinning reserve of all units provided can satisfy the requirements of the system (FRRR and IRR) for any unexpected change in load or loss of maximum online generation unit. To examine the merits of the proposed method, simulation run was performed on Taiwan Power System