Open AccessPlanning and Optimal Scheduling Method of Regional Integrated Energy System Based on Gray Wolf Optimizer Algorithm
Author(s) -
Jifu Qiu,
Ming Chen,
Zhen Wei,
Zhengqing Xu,
Yukai Li
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/546/2/022059
Subject(s) - mathematical optimization , scheduling (production processes) , computer science , job shop scheduling , electricity , distributed computing , engineering , schedule , mathematics , electrical engineering , operating system
For the regional integrated energy system (RIES) with multi-energy complementary, it is key to plan and optimize scheduling, which can improve energy efficiency. This paper focuses on the planning and scheduling of the RIES with self-provided waste incineration power plant. A bi-level mathematical model of the RIES with electricity, heat, cooling and gas interconnection is built. The upper level takes the minimum annual comprehensive cost as the optimization objective to find the optimal configuration. Based on the configuration scheme provided by the upper level, the optimized scheduling scheme under the economic and environmental indicators is developed by using some constrains, such as the supply and demand balance and equipment output operation. At the same time, the policy subsidy of self-provided waste incineration power plant and the transaction cost of pollutant emission are considered in the optimal scheduling. Then the gray wolf optimizer algorithm is proposed to solve the bi-level optimization problem. The effectiveness and superiority of the planning and optimal sheduling model proposed are demonstrated by analyses in typical scene.