This study introduces an innovative joint planning and reconstruction strategy for network and energy storage, designed to simultaneously enhance power supply capacity and renewable energy acceptance capacity.
What is joint optimization of mobile energy storage & power system?
(3) The joint optimization operation of mobile energy storage, power system, and transportation logistics system can supplement expensive ultra-high voltage long-distance transmission, avoid transmission congestion, smooth the urban load curve, and reduce the cost of distribution network upgrading and transformation.
Does a network and energy storage Joint Planning and reconstruction strategy achieve cost minimization?
Additionally, the network and energy storage joint planning and reconstruction strategy proposed in this study achieves cost minimization under the constraint of limited resources and simultaneously enhanced both capacities. The strategy provides feasible solutions for power grid planning in actual applications.
Can a joint planning and reconstruction strategy enhance power supply capacity?
Addressing this strong coupling while enhancing both capacities presents a critical challenge in modern distribution network development. This study introduces an innovative joint planning and reconstruction strategy for network and energy storage, designed to simultaneously enhance power supply capacity and renewable energy acceptance capacity.
Does network and energy storage Joint Planning and reconstruction account for source-load uncertainty?
To achieve this, a network and energy storage joint planning and reconstruction strategy that accounts for source-load uncertainty is proposed. The main conclusions are as follows:
How can a joint optimization model improve power system operation?
The joint optimization model proposed in this study can not only increase the total accommodation of new energy but also achieve a smooth net load curve by controlling the battery charge/discharge, which benefits power system operation. The net load curve is defined as the original load curve + charge curve − discharge curve.
What is the goal of the two-stage joint optimization method?
The overall goal of the two-stage joint optimization method is to maximize the economy of battery energy storage system, renewable energy penetration and the stable operation of the power system. Fig. 2. Structure of the two-stage battery logistics and charge/discharge joint optimization model.