Planning of the Multi-Energy Circular System Coupled with Waste Processing Base: A Case from China

Luqing Zhang, Aikang Chen, Han Gu, Xitian Wang, Da Xie and Chenghong Gu
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Luqing Zhang: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China
Aikang Chen: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China
Han Gu: Electric Power Planning & Engineering Institute, Xicheng District, Beijing 100011, China
Xitian Wang: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China
Da Xie: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China
Chenghong Gu: Department of Electronic and Electrical Engineering, University of Bath, Calverton Down, Bath BA2 7AY, UK

Energies, 2019, vol. 12, issue 20, 1-17

Abstract: With the accelerated development of urbanization, waste disposal has become a tough problem. If waste cannot be disposed properly, it will lead to environment pollution and waste of resources. Since the energy utilization of the Waste Processing Base (WPB) has not been considered thoroughly, optimal planning of the Multi-Energy Circular System (MECS) coupled with the WPB is studied in this paper. Based on a typical WPB, this paper adds Power to Gas (P2G) and energy storage equipment, and applies a bi-level optimization model to optimize energy utilization. The minimum of total annual cost is the objective of the upper model, whose decision variables are the capacity of each equipment. The minimum annual operating cost is the lower model’s objective whose decision variables are the control parameters of certain energy equipment. Finally, a practical WPB is used for the demonstration and simulation of the proposed planning scheme. The analysis of the simulation results indicates that the collaborative optimization of the MECS coupled with WPB is effective, and improves the benefits of energy, economy, and environment enormously.

Keywords: bi-level programing; multi-energy collaborative optimization; waste processing base; multi-energy circular system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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