Skip to main content

Advertisement

Fig. 4 | Energy Informatics

Fig. 4

From: Increasing the efficiency of local energy markets through residential demand response

Fig. 4

Average market closing price. Figure 4 shows the MCP for the 4 interaction and 3 regulatory scenarios that we consider. In case of the base case and the public grid, no trading is feasible, thus, no MCP can be calculated. When trading takes place, the MCP is decreasing from the microgrid to the favorable regulation scenario for all interaction scenarios. This is due to the favorable regulation scenario offering a larger price spread for trading at the same supply and demand scenario. Thus, prices are decreasing on the LEM. Including DR to the trading scenario results in the same behavior, i.e. a decrease in the MCP. This time, the decrease results from demand being shifted from peaks, and thus creating less scarcity scenarios that would result in higher MCPs. The upper bound scenario results in the highest MCPs due to enforced high bidding. All in all, the MCP may be reduced by up to 32% compared to the reference tariff in the simulation

Back to article page