| Abstract |
The advances of renewable energy in power system not only reduced more environmental pollution than using traditional method, but provided alternative programs. As increasing of those unstable supply of green power. It will impact on the system. Such as system reliability, cost of power, power quality, power stability, etc. Therefore, how to stabilize the system while the load keep changing with ancillary service is an important issue currently.
This thesis studies two case, 1th, combined thermal power generator, wind power, solar power, battery storage system to form a system, and reach the goal of security dispatch and the function of demand response by battery storage system. Second, analysis ancillary service of power system day-ahead market without battery storage system, including automatic generation control, spinning reserve, and supplemental reserve. Using improved Bee Swarm Optimization (BSO) to solve unit commitment and economic dispatch problem. This thesis proposed the adaptive inertia weight rule into BSO, and improve the mathematics formula to avoid the local optimality problem and scout bee consider global optimality only, which can quickly reach the optimal solution with a better performance and accuracy. |
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