Dispatching Optimization Method for Microgrids with Small Hydropower and Photovoltaic Energy Storage Considering Demand Response Trading

TL;DR: The paper proposes an optimization method for micro-grids with small hydropower and photovoltaic energy storage considering demand response trading, aiming to maximize total revenue and achieve peak shaving function.

Abstract: Under the strategic guidance of "carbon peaking and carbon neutrality", massive new energy will become an important level of the new power system. Micro-grids can improve the utilization of new energy while peak shaving and valley filling. This paper analyzes the mathematical models of various parts of the micro-grid power generation unit, such as transferrable loads, small hydroelectric power, photovoltaic units, and energy storage systems, from the perspective of micro-grid power consumption characteristics. The paper introduces demand response transaction, proposes a peak shaving optimization method for micro-grids containing small hydroelectric power and energy storage based on demand response transaction, with the goal of maximizing total revenue. Finally, through simulation verification, the proposed method can achieve peak shaving function while improving the economic benefits of the micro-grid.