Coordinated Optimization Strategy of "Network-Load-Storage" System Based on Price Response Mechanism

• Published in: 2018 International Conference on Power System Technology (POWERCON) pp. 4221 - 4228
• Main Authors: Shen, Li, Zhao, Qingqi, Ma, Guochao, Qiu, Zejing, Lu, Tianqi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2018
• Subjects: "network-load-storage" system; agent; Cogeneration; coordination and optimization; DNA; electricity price mechanism; Energy storage; Optimization; Power systems; Resistance heating; wind power accommodation; Wind power generation
• DOI: 10.1109/POWERCON.2018.8602292

With the increasing permeability of wind power, the peak-load regulation pressure of the unit is increasing, and it is a difficult problem to control the distribution network by reducing the wind power curtailment while ensuring the space of peak-load regulation. In this paper, based on the system of distribution network, variable load and energy storage device, a collaborative optimization strategy of network-load-storage system considering the response mechanism of price is proposed. The strategy takes fully into account the time shift capacity of energy storage devices for power and energy as well as the physical characteristics of the complementary electrical and thermal systems. The agent system and the electricity price mechanism are introduced to construct the coordination and optimization framework. The framework includes the distribution network agent (DNA), the source-load agent (SOLA), the storage-load agent (STLA) and the target function of the minimum operating cost of the agent. Under the energy balance constraint, the unit operation constraint and the energy storage constraint of the agent, the function is solved by golden section method and the improved particle swarm optimization algorithm. Finally, the simulation results demonstrate the effectiveness of the proposed method.