Survey on Complex Optimization and Simulation for the New Power Systems Paradigm

Table 9

Comparison of the main characteristics of some of the most relevant electricity market simulators.

Work	Demand response	Distributed generation	Aggregators	Grid constraints	Agent learning	Market details	Other
[141]	+				++	Study of alternative market models; impact on German electricity market
[143]		+			++
[146]	++				+	Double auction
[147]					++		Comparison of bidding strategies
[149]					++	Comparison of alternative market mechanisms
[150]		++	++		+	Wholesale, retail, and natural gas markets
[152]		+		++	++	Congestion management
[153]		++			++	Models the old UK electricity market
[154]			+		+	Models GME—the Italian electricity market
[156]				++	++	Realistic modeling of the Australian electricity market
[159]	+	++		++	++	Models the US MISO, ISO-NE, NYISO, PJMB, CAISO, SPP, and ERCOT market areas
[160]		+	++	+	++	Market models of MIBEL, EPEX, and Nord pool	Demand response, electric vehicles, and distributed generation are modeled through the connection to the MASGriP simulator
[164]				+	+	Models the Australia National Electricity Market (NEM)
[165]					++		Analysis of collusive strategies
[167]		+				Day-ahead auction-based market
[170]	+	+		++	+	Spot market and forward market
[171]					++	Balancing market
[172]			+	+	+	Day-ahead simple auction and with uniform price