Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  study the energy storage management of microgrids with combined heat and por (CHP) co-generator and renewable energy. There are two kind of demands in the microgrid, por demand and heat demand. The por demand can be satisfied by the electricity from grid, CHP co-generator, renewable energy and battery; The heat demand is meet by the natural gas, CHP co-generator and the thermal tank.  aim to minimize the microgrid's operating cost by designing an intelligent energy storage management strategy based on the random system inputs, e.g., demands and electricity price and the CHP co-generator's on/off decision.  formulate the problem as a stochastic non-convex optimization programming, which is challenging to solve optimally.  apply the Lyapunov drift-plus-penalty method [1] to design an easy-to-implement energy management strategy with provable near-optimal performance and requires no statistical information of the por and heat demands. Moreover, extensive empirical evaluations using real-world traces are provided to study the effectiveness of the proposed algorithm in practice.
['Yiren Shen', 'Xiaoxian Ou', 'Jiarong Xu', 'Guanglin Zhang', 'Lin Wang', 'Dapeng Li']
I am writing a research paper on a idea Optimal energy storage management for microgrids with ON/OFF co-generator: A two-time-scale approach
[{"from": "human", "value": "I am writing a research paper on a idea Optimal energy storage management for microgrids with ON/OFF co-generator: A two-time-scale approach"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  study the energy storage management of microgrids with combined heat and por (CHP) co-generator and renewable energy. There are two kind of demands in the microgrid, por demand and heat demand. The por demand can be satisfied by the electricity from grid, CHP co-generator, renewable energy and battery; The heat demand is meet by the natural gas, CHP co-generator and the thermal tank.  aim to minimize the microgrid's operating cost by designing an intelligent energy storage management strategy based on the random system inputs, e.g., demands and electricity price and the CHP co-generator's on/off decision.  formulate the problem as a stochastic non-convex optimization programming, which is challenging to solve optimally.  apply the Lyapunov drift-plus-penalty method [1] to design an easy-to-implement energy management strategy with provable near-optimal performance and requires no statistical information of the por and heat demands. Moreover, extensive empirical evaluations using real-world traces are provided to study the effectiveness of the proposed algorithm in practice."}]