Multi-objective Monthly Generation Scheduling Considering the Supply Constraints of Adjustable Energy

Abstract

With power plant departing with power network, coal load of thermal plants and water storage of hydropower plants are not considered in some literatures, which may results to insufficient energy sources when making monthly generation scheduling. A multi-objective monthly generation scheduling considering the supply constraints of energy is proposed. This model with minimum monthly electricity deviation, the cost of generating electricity and the amount of waste water as the objective, and the linear constraints between water and electricity, coal and electricity, the supply constraints of water and coal and power balance constraints and so on are considered comprehensively. For solving the multi-objective model quickly, the normal boundary intersection method is used to transform the multi-objective problem into a series of single-objective problems, and the large-scale mixed integer linear programming problem is solved by commercial software CPLEX. After obtaining a series of Pareto's optimum solutions, the optimal solution is obtained by combining the entropy weight method considering subjective weight with the double base point method, which provides a reference for making monthly generation scheduling. The example results on a provincial power system show that the proposed model can fully take into account the constraints of energy sources, as well as, making the scheduling scheme more reasonable and executable.