System design and policy suggestion for reducing electricity curtailment in renewable power systems for remote islands

Delayed Q-update: A novel credit assignment technique for deriving an optimal operation policy for the Grid-Connected Microgrid

“…To consider when the microgrid utilizes the ESS actively, we make the SMP price fluctuate more by multiplying a scale-up (discount) factor to SMP price value. Lastly, we refer to several previous studies to set up the appropriate values for other parameters of our models described in Section II, as summarized in Table II (the unit generation cost from the dispatchable generator in South Korea is approximately 500KRW/kWh [26] and the unit cost of the demand response is set at 200KRW/kWh [21]). As previously mentioned, the relaxation process is conducted to convert observed features of the system to discretized state space.…”

Parametric optimization of long-term multi-area heat and power production with power storage

“…Non-convex problems are difficult to solve and have high computational time, and the optimal solution is also difficult to achieve [14], [15]. The non-convex CHP operating region can be divided into convex multi-regions and formulated and solved as a mixed integer linear programming (MILP) [15][16][17][18][19][20][21], by Lagrangian relaxation methods [21][22][23][24], or by heuristic techniques [25], [26]. A MILP model was developed for optimization of a power system [15].…”

“…They estimated the ramping requirement in the power system using a multi-objective function including both reliability and economic benefits of the system. A MILP model was used to find optimal design of renewable power system for a remote island [17]. They compared a binary variable model with an iterative process without binary variables and the results indicated that the iterative process could solve faster with a near-optimal solution.…”

“…The objective function (17) minimizes the total production costs of all units in the area. In the objective function, terms refer production costs of unit .…”

A review of hierarchical control for building microgrids

“…The aim of the HC is to optimally assign each dispatchable unit inside the BMG with power references. Its primary purpose is to maximise the RESs exploitation and minimize the power dependency on the main utility [4], [26]- [28] while avoiding unsought measures, like the curtailment of renewable sources [29] and load shedding [30]. Notably, without any dispatchable unit, the power balance cannot be satisfied except by purchasing electricity from the main grid.…”