A simulation method is proposed for the generating capacity adequacy evaluation of small isolated power systems(SIPS)including wind energy and energy storage facilities.

In addition,in view of the importance of generation capacity adequacy to power market,this paper mainly studied the power generation capacity adequacy evaluation method,it can evaluate the system adequacy,which in order to achieve the goal to supervise and ensure generation capacity adequacy.

For generation capacity adequacy(GCA)control purpose,implementing time-of-use power price can be regarded as preventive control and reserve capacity on generation side,interruptible load with low price,interruptible load with high reparations can be considered as emergency/corrective controls.

Since it is well acknowledged that the energy-only market could not ensure the generation capacity adequacy,a lot of research work has been done around the world to explore new ways to solve this important and yet difficult problem.

It is a widely-discussed important issue to determine whether generation capacity adequacy could be ensured by the energy-only market approach.

This thesis presented a series of method and mechanism to regulate the generation adequacy in the market circumstance, considering some factors which affected the generation adequacy emerged during the process of market reformation.

Research on adequacy evaluation algorithm of generation and transmission systems based on the sequential Monte-Carlo simulation

The main difficulties in the large-scale composite generation and transmission system adequacy evaluation are the power flow calculation and the load curtailment analysis.

For adequacy evaluation,multiple contingencies of time- series of system states are transferred to single contingency based on duration sam pling of component states,which successfully deals with complexity of com putation.

With market rules,bidding strategies and investment strategies of market participants being represented as experimental environment,this paper studies long term dynamics of generation capacity adequacy by using dynamic simulations of investment market interacted with power market.