ISSN 1674-0629
CN 44-1643/TK
CN 44-1643/TK
Day-Ahead Optimal Scheduling Method of Park Integrated Energy System Considering Price Guidance Mechanism
Zongyi LIAO , Wenlue WAN , Xi CHEN
›› 2021, Vol. 15 ›› Issue (9) : 53 -60.
Day-Ahead Optimal Scheduling Method of Park Integrated Energy System Considering Price Guidance Mechanism
In order to efficiently use the resources on both sides of supply and demand in the integrated energy system and achieve optimal scheduling, the paper takes the integrated energy system of the park with four loads of electricity, gas, cooling and heat as the object, and constructs an optimal scheduling model based on the price guidance through comprehensively considering electricity and natural gas demand response to ensure the interests of both the business and the park. Firstly, a comprehensive energy system model of the park is established based on the energy bus; then, a demand response strategy for multiple types of loads is established based on the price elasticity of demand; finally, an optimal scheduling model considering the price guidance mechanism is proposed, and the model is solved by particle swarm algorithm combined with mathematics optimization software Gurobi. Simulation analysis shows that the method can guide the park users to buy the energy, and reduce the transmission power peak valley difference in the supply of the tie-line, and improve the overall economy of the system on the basis of the supply-demand double side needs and interests constraints.
park integrated energy system / day-ahead optimal scheduling / price guidance / demand response / electricity-gas joint pricing
Key R&D Projects of Artificial Intelligence Technology Innovation Major Theme Projects of Chongqing City(cstc2017rgzn-zdyf0120)
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