Decision-making Model of Optimal Power Distribution Scheme Based on Multiple Linear Regression and Lingo Multi-objective Programming Model

Abstract

In order to overcome the difficulties in the formulation and decision-making of power distribution schemes, this paper proposes a novel decision-making model for optimal power distribution schemes based on multiple linear regression and Lingo multi-objective programming models. From the perspective of multiple linear regression and Lingo’s multi-objective programming models, the decision-making model follows the "safety first" principle and the principle of minimum cost in the organization, dispatch, and distribution of power grid companies. And according to the load forecast and transaction rules, the optimal power distribution scheme can be designed for the power personnel. The research results show that the difference in load demand leads to different transmission congestion principles and cost settlement methods. Therefore, this paper divides the forecast load demand into three intervals (0,982.9136], (982.9136,1094.500], (1094.500,+ ∞ ], the simulation test was carried out. When the forecasted load demand for the next period is 984.2MV and 1052.8MV, LINGO and MATLAB software are used to solve the deployment mentioned above plan model according to the transmission congestion management principle to obtain the adjusted units. And find the blocking cost is 18232.2 yuan and 22506 yuan.