Application of multi energy optimal scheduling in intelligent energy management and control platform

Jing Nie,Huanran Dong,Yongli Wang,Nan Xu,Yan Song,Xiaoguang Qi,X Wei

doi:10.1051/e3sconf/202021302004

Abstract

This paper analyzes the physical architecture and functional requirements of the regional smart energy management and control platform, and points out the key technologies applied in the platform development. Based on the consideration of multi energy balance, diversified user demands and changeable scenarios, the day ahead economic optimal scheduling model of smart park is established, and the optimal scheduling operation results are given.

Highlights

Energy is the basis of human survival and development
Improving energy utilization rate, developing new energy and strengthening the utilization of renewable energy are the inevitable choice to solve the contradiction between the increasing energy demand and the shortage of resource supply and demand[1,2,3]
The research on multi energy complementary system mostly aims at improving the constraints of optimal operation scheduling or the algorithm of solving optimization model, and the research on uncertain factors is just in the beginning

Summary

Introduction

Energy is the basis of human survival and development. Improving energy utilization rate, developing new energy and strengthening the utilization of renewable energy are the inevitable choice to solve the contradiction between the increasing energy demand and the shortage of resource supply and demand[1,2,3]. The research on multi energy complementary system mostly aims at improving the constraints of optimal operation scheduling or the algorithm of solving optimization model, and the research on uncertain factors is just in the beginning. Based on the credibility theory, the fuzzy chance constraint is constructed, and the equivalence of the chance constraint is transformed into a clear equivalence class; In reference [6], the load distribution characteristics of CCHP system are described by using the weighted sum method of normal distribution, and a stochastic fuzzy modeling method of load is proposed to verify the randomness and fuzziness of load; This paper analyzes the physical architecture and functional requirements of the regional smart energy management and control platform, and points out the key technologies applied in the platform development. Based on the consideration of multi energy balance, diversified user demands and changeable scenarios, the day ahead economic optimal scheduling model of smart park is established, and the optimal scheduling operation results are given

Multi energy optimal scheduling model

3.1.Objective function

Simulation Result

Findings

Conclusions