Abstract
A simulated battery energy storage (BES) system is considered for integration into Taiwan Power Company System to study the economic benefits of the BES. The system had a pumped storage power plant with four units. The authors applied multipass dynamic programming to the solution of the short term hydrothermal coordination problem considering pumped storage and battery energy storage systems. The algorithm can quickly converge to an optimal generation schedule while achieving the minimum production cost of power systems. Substantial savings of memory and CPU time were realized by using this efficient algorithm. The load, committed units, and available water usage data from 9:00 PM June 17, 1988 to 9:00 PM June 24 were used to test this algorithm. Results showed that within 20 minutes on a PC/386 this algorithm could find the optimal generation schedule of all the units and the switching time of the BES while satisfying all the constraints.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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