Research on optimal allocation strategy of multiple energy storage in regional integrated energy system based on operation benefit increment

Abstract Wind power generation curve generally has the reverse characteristic with the peak regulation of electricity load curve, which will lead to serious wind abandonment and energy waste. The development of integrated energy systems and energy storage maybe change this predicament. Based on the infrastructure and operation model of regional integrated energy system, this paper studied the allocation priority of cooling, heating, electricity storage and electricity to gas (P2G) system, considering multiple energy complementary and collaborative operation of combined cooling heating and power (CCHP) units and other equipment. Firstly, the operation benefit increment index was proposed to quantify the operation cost variation, also named promotion effect in this paper, between the scenarios of integrated energy system without/with certain form energy storage added. Then, an configuration optimization model of multiple energy storage devices based on operation benefit increment was put forward. By employing an industrial district integrated energy system in northern China as the study case, the operation scheduling scheme and the priority of energy storage configuration were solved by the optimization strategy proposed in this paper. And the promotion effects of different energy storage configurations were analyzed from the viewpoint of operation economy of the integrated energy system. The results show that the abandoned wind power and the cost of environmental pollution control are reduced in the integrated energy system with four kinds of energy storage. And the economic efficiency is greatly improved.

[1]  Zhe He,et al.  Reliability modeling for Integrated Community Energy System considering dynamic process of thermal loads , 2019, IET Energy Systems Integration.

[2]  Fangxing Li,et al.  Coordinated Bidding Strategy of Wind Farms and Power-to-Gas Facilities Using a Cooperative Game Approach , 2020, IEEE Transactions on Sustainable Energy.

[3]  Nelson Fumo,et al.  Emission operational strategy for combined cooling, heating, and power systems , 2009 .

[4]  Juan C. Vasquez,et al.  Microgrid supervisory controllers and energy management systems: A literature review , 2016 .

[5]  Cees J.N. Buisman,et al.  The concentration gradient flow battery as electricity storage system: Technology potential and energy dissipation , 2016 .

[6]  Xiyun Yang,et al.  A novel optimization model for combined wind power accommodation and electric boiler with thermal storage , 2019 .

[7]  N. Hatziargyriou,et al.  Microgrids: an overview of ongoing research, development, anddemonstration projects , 2007 .

[8]  F. Graf,et al.  Renewable Power-to-Gas: A technological and economic review , 2016 .

[9]  Zahid Ullah,et al.  Smart grid and energy district mutual interactions with demand response programs , 2019, IET Energy Systems Integration.

[10]  Lyu Qua,et al.  Comparison of Coal-saving Effect and National Economic Indices of Three Feasible Curtailed Wind Power Accommodating Strategies , 2015 .

[11]  Lennart Söder,et al.  Distributed generation : a definition , 2001 .

[12]  Robert H. Lasseter,et al.  Microgrids And Distributed Generation , 2007, Intell. Autom. Soft Comput..

[13]  Wang Jianxue Economic operation of microgrid with combined heat and power system , 2013 .

[14]  Lizhong Xu,et al.  A Multi Time-Scale and Multi Energy-Type Coordinated Microgrid Scheduling Solution—Part I: Model and Methodology , 2015, IEEE Transactions on Power Systems.

[15]  Pierluigi Mancarella,et al.  Integrated Modeling and Assessment of the Operational Impact of Power-to-Gas (P2G) on Electrical and Gas Transmission Networks , 2015, IEEE Transactions on Sustainable Energy.