Global Energy Interconnection Journal Press

Home > View > Focus

A collaborative approach to integrated energy systems that consider direct trading of multiple energy derivatives

2023-11-16

A collaborative approach to integrated energy systems that consider direct trading of multiple energy derivatives

考虑多种能源衍生品直接交易的综合能源系统协作方法

Jianhui Wang¹, Guangqing Bao², Peizhi Wang³, Shoudong Li¹

1. Department of electrical Engineering and Information Engineering, Lanzhou University of Technology,Lanzhou 730000, P. R. China

2. School of Electronics and Information Engineering, Southwest Petroleum University, Chengdu 610500,P. R. China

3. College of Engineering, Northeastern University, Boston, 02101-02117, USA

A collaborative approach to integrated energy systems that consider direct trading of multiple energy derivatives

Abstract

The cooperative model of a multi-subject Regional Integrated Energy System (RIES) is no longer limited to the trading of traditional energy, but the trading of new energy derivatives such as Green Certificates (GC), Service Power (SP),and CO2 will be more involved in the energy allocation of the cooperative model. This study was conducted for the multientity RIES cooperative model considering the trading of electronics, GC, SP, and CO2. First, a cooperative framework including wind-photovoltaic generation system (WG), combined heat and power system (CHP), and power-carbon-hydrogen load (PCH) is proposed, and the mechanism of energy derivatives trading is also analyzed. Then, the sub-models of each agent in the cooperative model are established separately so that WG has the capability of GC generation, CHP has the capability of GC and CO2 absorption, and PCH can realize the effective utilization of CO2. Then, the WG–CHP–PCH cooperative model is established and equated into two sub-problems of cooperative benefit maximization and transaction payment negotiation, which are solved in a distributed manner by the alternating directed multiplier method (ADMM). Finally,the effectiveness of the proposed cooperative model and distributed solution is verified by simulation. The simulation results show that the WG–CHP–PCH cooperative model can substantially improve the operational efficiency of each agent and realize the efficient redistribution of energy and its derivatives. In addition, the dynamic parameter adjustment algorithm(DP) is further applied in the solving process to improve its convergence speed. By updating the step size during each iteration, the computational cost, the number of iterations, and the apparent oscillations are reduced, and the convergence performance of the algorithm is improved.

Keywords

Green certificates; Service power; CO2; Electricity-carbon-hydrogen; Cooperative model; ADMM

Fig. 1 Multi-energy derivative trading framework of WG–CHP–PCH

Fig. 2 CHP operation model

Fig. 3 PCH system

Fig. 4 Cost-iterative convergence process of P1

Fig. 5 The original residual convergence process for problem 2

Fig. 6 Energy transaction between subjects

Fig. 7 GC transactions between entities

Fig. 8 Inter-subject carbon trading

Fig. 9 Service electricity transaction between subjects

Fig. 10 Inter-subject transaction prices

Fig. 11 Convergence comparison of original residuals

Fig. 12 Convergence comparison of dual residuals

本文引文信息

Wang JH, Bao GQ, Wang PZ, et al. (2023) A collaborative approach to integrated energy systems that consider direct trading of multiple energy derivatives, Global Energy Interconnection, 6(4): 418-438

王建辉，包广清，王培智等 (2023) 考虑多种能源衍生品直接交易的综合能源系统协作方法. 全球能源互联网（英文）, 6(4): 418-438

Biographies

Jianhui Wang

earned his B.S.E. in Electric Power Engineering and Automation from Hubei Polytechnic University, Hubei, China,in 2016, and his M.E. in Electrical Engineering from Hunan University of Technology in 2019. Currently, he is pursuing a doctorate in electrical engineering at Lanzhou University of Technology in Lanzhou, China. His research interests include active distribution planning and operation.

Guangqing Bao

obtained her M.S. in Power electronics and power transmission from Gansu University of Technology, Lanzhou,China, in 2002, and her PhD in Power electronics and power transmission from Shanghai University, Shanghai, China, in 2006. Professor in the School of Electrical and Electronic Engineering at Southwest Petroleum University. Her research interests include intelligent planning of power systems, risk assessment, power communication systems.

Peizhi Wang

is a passionate researcher specializing in Computer Science. With a Master’s degree in science of information system from Northeastern University, he excels in understanding the impact of software design.Peizhi’s expertise lies in software design, interface evaluation, and reinforcement learning, with a particular focus on emerging technologies. He actively collaborates with leading researchers and industry partners,including the Computer engineering laboratory at the University of Hawaiʻi at Mānoa. Moving forward, Peizhi aims to explore the application of artificial intelligence in software development.

Shoudong Li

received his bachelor’s degree in electrical engineering and automation from Shanghai Electric Power University in 2016. He then received his M.Eng. degree in power systems and automation from Lanzhou Jiaotong University in 2019. He is currently pursuing his Ph.D. degree in the School of Electrical and Electronic Information Engineering, Lanzhou University of Technology. His research interests include new energy power system optimization and regulation, and energy storage system application technology.

编辑：王彦博

审核：王伟

郑重声明

根据国家版权局相关规定，纸媒、网站、微博、微信公众号转载、摘编本网站作品，需包含本网站名称、二维码等关键信息，并在文首注明《全球能源互联网》原创。个人请按本网站原文转发、分享。