The algorithm will provide an effective way to exploration and study of resource portfolio planning problem.

In this paper, a new Sequential Evolution Strategy (SES) for solving nonlinear mixed programming problems is constructed.

A Novel Neural Network Model for Solving Programming Problems Based on Linear Restraints;

Firstly, for the stochastic programming problem, we propose the concept of synthesizing effect function, and give the stochastic programming model based on the synthesizing effect function by processing objective function and constraints, and analyze the reliability; secondly, for the multi-objective stochastic programming problem, we use the concept

The electric power deregulation has led electric power enterprises very difficult to do integrated resources planning(IRP) because generation, transmission and distribution were to be unbundled.

According to the principle of integrated resource planning (IRP), describes the know-how in CEP, such as target setting, estimation of available resources, load forecasting, scheme of energy system, determination of virtual power station, implementing stricter energy efficiency standard, and full process management etc.

If the integrated resource planning has the resources of the supply-side and demand-side in the planning process considered at the same time, it can realize the objective of minimizing the total cost.

However, DC could not be used in integrated resource planning, since system electrical demand is divided into several classes due to different reliability require-ments.