Peak-valley electricity prices are cost-effective when paired with energy storage

How does Peak-Valley electricity price spread affect electricity consumption?

By setting different peak-valley electricity price spread, the electricity consumption changes in the process of gradually increasing peak-valley electricity price differentials are studied. Conferences > 2023 3rd Power System and Gre... Renewable energy has the characteristics of randomness and intermittency.

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.

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.

What is Peak-Valley pricing?

Peak-valley pricing is adopted to guide users’ electricity consumption habits, so that users prefer to use electricity in idle time, which is inconsistent with the operator's base station electricity consumption habits.

Should residential Peak-Valley pricing policies be optimized?

The PVP policy needs to be optimized from the price and time period division. In order to deal with the rapid growth in residential electricity consumption, residential peak-valley pricing (PVP) policies have been implemented in 12 provinces in China. However, being inappropriate, the residential PVP policies have delivered no significant results.

Does PvP increase electricity price during peak periods?

This is because the optimized PVP policy increases the electricity price during peak periods. The current policies in Types I and II provinces are less effective in peak shaving, with only a 1.9%–3.2% reduction in peak load, while those in Type III provinces appear to be very effective in peak shaving.