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

Table 3

Summary of energy scheduling models: technical and economic aspects.

Ref.	Technical aspects			Economic aspects
	Power losses	Voltage control	Other^1
[55]	No	No	No	The goal of the aggregator is to minimize purchases in the spot market.
[49]	Yes	Yes	No	Expected operational costs over the next 24 hours.
[59]	No	No	No	Maximize system utility.
[54]	No	No	Yes	Financial aspects (costs) but also environmental and reliability.
[50]	No	No	Yes	Maximize profits of microgrid considering building dynamics.
[56]	Yes	Yes	No	Expected operation costs over the next 24 hours.
[57]	No	No	No	Maximize expected profits over the next 24 hours.
[58]	No	No	No	Minimize expected costs.
[60]	No	No	No	Maximize operation revenue.
[51]	No	No	No	Maximize profit over the scheduling horizon.
[52]	No	No	No	Maximize utility function in day-ahead and real-time markets.
[53]	No	No	No	Maximize profit in the day-ahead and balancing market.
[45]	No	No	No	Minimize expected operation costs.
[62]	No	No	No	Minimize household energy costs under DR programs.
[38]	No	No	No	Maximize aggregator profit and EV user charging opportunity.
[47]	Yes	Yes	Yes	Maximize aggregator profit.
[7]	No	No	No	Minimize aggregator operation costs and suitable remuneration groups.
[46]	Yes	Yes	No	Minimize operation costs considering market transactions.
[61]	No	No	No	Maximize aggregator payoff considering price risk.
[48]	No	No	No	Maximize domestic energy profit.

¹Fault location, network restoration, and island operation.