Fig. 4
The average Market closing price of sensitivity analysis of all the scenarios. Figure 4 refers to the sensitivity analysis of the average Market Closing Price of the LEM. The cases involving Public Network scenario is not demonstrated because no trading occurs with that regulatory scenario. Similarly, since no trading is involved in the base case, it is also excluded. In the Microgrid scenario, it can be observed, that the increase of PV power installation leads to decrease in the MCP because there is more energy offered in the LEM, which tends to more successful trading, thus pulling down the average MCP of the LEM. This effect is more prominent in the Favorable Regulation scenario since the trading window is broader, which allows the reinforcement learning algorithm to bid more intelligently thus decreasing the price of electricity by 4c€/kWh in case of 5kWp PV installation to about 8c€/kWh in case of 25kWp PV installation from the grid price (cG). For the cases involving trading with DR, in the Microgrid scenario, the trading happens almost near to the grid price (cG). For Favorable Regulation scenario, the MCP decreases slightly with increase in DR% but there is a significant decrease of up to 3c€/kWh as we increase the PV installation from 5kWp to 25kWp