Research on an Optimization Model for Resource-load-storage Integrated System Operation Considering Demand Side Response

With the development of distributed energy resources (DERs) and energy storage technologies, an increasing number of power consumers choose to plan DERs and battery energy storages (BESs), forming the resource-load-storage integrated systems (RLSISs). These systems effectively utilize local renewable energy and adjust electricity load characteristics, thereby optimizing consumers’ electricity costs. On the other hand, in recent years, demand side response (DSR), a mechanism for balancing electric energy supply and demand, has been widely promoted and applied. RLSISs, with certain adjustment capabilities, can actively participate in DSR and obtain corresponding benefits. However, the complexity of the components in the RLSISs affects the coordination of each component, impacting system profitability. Hence, studying the operational strategy of RLSISs under DSR becomes necessary. This paper proposed an optimization model for RLSIS operation considering DSR. This model fully considers the peak-valley electricity price arbitrage, DER benefits, and DSR benefits of RLSISs, aiming to maximize the total income for optimizing the system operational strategy. To facilitate solving, the model is linearized. Finally, a case study is conducted in an industrial park equipped with distributed photovoltaic cells and a BES to verify the effectiveness of the proposed model. The case result demonstrates that the proposed model effectively optimizes the operation of RLSISs.