Abstract
With the transformation of the energy market from the traditional vertical integrated structure to the interactive competitive structure, the distributed characteristics of the energy system become more and more obvious, and the traditional centralized optimization method is difficult to reveal the interaction between the multi-agent. In this paper, a method based on master-slave game is proposed to optimize the operation of park integrated energy system. Firstly, user load model, user benefit model, operator revenue and cost model are established for park integrated energy system. Secondly, the Stackelberg master-slave game model of interactive optimization operation is established, and the peak cutting compensation price is adjusted. Both of them aim at maximizing their own interests until the game equilibrium is achieved. A distributed cooperative optimization model with one master and many slaves is established and solved by the combination of genetic algorithm and quadratic programming. Finally, an example is given to verify the effectiveness of the proposed method.
Highlights
High efficiency, clean and low carbon are the main trend of energy development in the world
A comprehensive energy system with combined cooling, heating and power (CCHP) system as the core unit will be built in the park, aiming to realize the reliable, efficient and clean energy consumption in the park, and realize the friendly interaction between the park and the large power grid
This paper introduces the energy trading process and mathematical model, and proves that there is a unique Stackelberg equilibrium in the proposed game model, which is solved by combining genetic algorithm and two times programming
Summary
Clean and low carbon are the main trend of energy development in the world. A comprehensive energy system with combined cooling, heating and power (CCHP) system as the core unit will be built in the park, aiming to realize the reliable, efficient and clean energy consumption in the park, and realize the friendly interaction between the park and the large power grid. Based on the master-slave game theory, a distributed energy management method is proposed. Literature [6] proposes an interactive optimization method of master-slave game for park comprehensive energy system by combining economic operation and auxiliary services. Based on the master-slave game, the electricity price and power operation strategy of the operator are formulated, and the equipment output is guided by the price signal. This paper studies the operation strategy of Distributed Collaborative Optimization in the framework of master-slave game.
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