Then, based on load forecasting, a comprehensive norm-constrained uncertainty set is constructed. A two-stage robust model for energy storage planning of a distribution network is constructed to optimize the network loss. After a case analysis, the following conclusions are reached:
Simulation outcomes for an enhanced IEEE 33-node system show that coordinated operation of source–network–load–storage effectively reduces intraday active power loss, improves voltage regulation capability, and achieves secure and reliable operation under ADN.
3) Based on load prediction, energy storage planning for a distribution network not only reduces the daily operating cost of the distribution network but also improves the power flow distribution of the system, further reduces network loss, and improves voltage fluctuation, which is of practical significance.
It is not difficult to see that the implementation of energy storage planning for the distribution network on the basis of load forecasting has improved the operating costs, voltage fluctuations, and network losses of the distribution network. TABLE 2. Comparison of the indicators and configuration results. FIGURE 8.
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Furthermore, an optimized energy storage system (ESS) configuration model is proposed as a technical means to minimize the total operational cost of the distribution …
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Learn MoreSimulation outcomes for an enhanced IEEE 33-node system show that coordinated operation of source–network–load–storage effectively reduces intraday active power loss, improves voltage regulation …
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