Calculation of energy storage peak and valley electricity price benefits

Does energy storage affect peak-shaving cost?

On the other hand, references [35, 36] do not consider the impact of energy storage utilizing peak and off-peak electricity price arbitrage on the peak-shaving cost of the power system, thus failing to fully utilize the peak-shaving capabilities of energy storage.

How much does electricity cost in a valley?

Table 1 shows the peak-valley electricity price data of the region. The valley electricity price is 0.0399 $/kWh, the flat electricity price is 0.1317 $/kWh, and the peak electricity price is 0.1587 $/kWh. The operation cycles (charging-discharging) of the Li-ion battery is about 5000–6000.

How does time-of-use electricity price affect energy storage?

To analyze this phenomenon, we can observe the charging and discharging periods of energy storage in Fig. 8, Fig. 11. The time-of-use electricity price makes the price gap between peak, flat and valley periods large, and has the role of guiding energy storage to “cut peak and fill valley”.

How are peak-to-Valley electricity prices optimized?

This period is divided into valley periods, and the rest of the period is divided into regular periods. According to the net load, the peak-to-valley electricity price periods are further optimized, and the optimized electricity prices for valley, flat, and peak periods are 0.28 RMB/kW·h, 0.42 RMB/kW·h, and 0.91 RMB/kW·h, respectively.

What is the difference between Peak-Valley electricity price and flat electricity price?

Among the four groups of electricity prices, the peak electricity price and flat electricity price are gradually reduced, the valley electricity price is the same, and the peak-valley electricity price difference is 0.1203 $/kWh, 0.1188 $/kWh, 0.1173 $/kWh and 0.1158 $/kWh respectively. Table 5. Four groups of peak-valley electricity prices.

Can energy storage capacity be allocated in wind and solar energy storage systems?

This article studies the allocation of energy storage capacity considering electricity prices and on-site consumption of new energy in wind and solar energy storage systems. A nested two-layer optimization model is constructed, and the following conclusions are drawn: