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The islanded mode of SHES using economic dispatching by showing (a) power dispatch stacking and (b) SOC responses for one day and using environment dispatching by showing (c) power dispatch stacking and (d) SOC responses for one day.
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A smart hybrid energy system (SHES) is presented using a combination of battery, PV systems, and gas/diesel engines. The economic/environmental dispatch optimization algorithm (EEDOA) is employed to minimize the total operating cost or total CO2 emission. In the face of the uncertainty of renewable power generation, the constraints for loss-of-load...
Contexts in source publication
Context 1
... the environmental dispatch strategy by solving EEDOA with w = 0, the power supply from the battery shown in Figure 6c is higher than in Figure 6a, such that the corresponding SOC in Figure 6d is lower than in Figure 6b. (b) In the islanded mode, the gas turbine (orange bar) and diesel engine (gray bar) in Figure 7a,c become the main power supplies due to no main grid. Using the economic dispatch strategy by solving EEDOA with w=1, the diesel consumption (diesel engine) in Figure 7a is higher than in Figure 7c, such that the corresponding SOC in Figure 7b is higher than in Figure 7d. ...
Context 2
... In the islanded mode, the gas turbine (orange bar) and diesel engine (gray bar) in Figure 7a,c become the main power supplies due to no main grid. Using the economic dispatch strategy by solving EEDOA with w=1, the diesel consumption (diesel engine) in Figure 7a is higher than in Figure 7c, such that the corresponding SOC in Figure 7b is higher than in Figure 7d. ...
Context 3
... In the islanded mode, the gas turbine (orange bar) and diesel engine (gray bar) in Figure 7a,c become the main power supplies due to no main grid. Using the economic dispatch strategy by solving EEDOA with w=1, the diesel consumption (diesel engine) in Figure 7a is higher than in Figure 7c, such that the corresponding SOC in Figure 7b is higher than in Figure 7d. ...
Context 4
... In the islanded mode, the gas turbine (orange bar) and diesel engine (gray bar) in Figure 7a,c become the main power supplies due to no main grid. Using the economic dispatch strategy by solving EEDOA with w=1, the diesel consumption (diesel engine) in Figure 7a is higher than in Figure 7c, such that the corresponding SOC in Figure 7b is higher than in Figure 7d. ...
Context 5
... In the islanded mode, the gas turbine (orange bar) and diesel engine (gray bar) in Figure 7a,c become the main power supplies due to no main grid. Using the economic dispatch strategy by solving EEDOA with w=1, the diesel consumption (diesel engine) in Figure 7a is higher than in Figure 7c, such that the corresponding SOC in Figure 7b is higher than in Figure 7d. ...
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... the grid-connected mode, the lower bounds of SOC in Figure 6b,d can maintain over 0.1; notably, the power dispatch with a forecast can reduce the upper bounds of SOC as compared to the power dispatch without a forecast. In the islanded mode, the power dispatch with a forecast can reduce the upper bounds of SOC as compared to the power dispatch without a forecast, but it may induce a very low battery (close to 0) risk during a period of one day as shown in Figure 7b,d. It is noted that the hour-ahead forecast power dispatch strategy can reduce QR and decrease operating costs. ...
Context 7
... the environmental dispatch strategy by solving EEDOA with w = 0, the power supply from the battery shown in Figure 6c is higher than in Figure 6a, such that the corresponding SOC in Figure 6d is lower than in Figure 6b. (b) In the islanded mode, the gas turbine (orange bar) and diesel engine (gray bar) in Figure 7a,c become the main power supplies due to no main grid. Using the economic dispatch strategy by solving EEDOA with w=1, the diesel consumption (diesel engine) in Figure 7a is higher than in Figure 7c, such that the corresponding SOC in Figure 7b is higher than in Figure 7d. ...
Context 8
... In the islanded mode, the gas turbine (orange bar) and diesel engine (gray bar) in Figure 7a,c become the main power supplies due to no main grid. Using the economic dispatch strategy by solving EEDOA with w=1, the diesel consumption (diesel engine) in Figure 7a is higher than in Figure 7c, such that the corresponding SOC in Figure 7b is higher than in Figure 7d. ...
Context 9
... In the islanded mode, the gas turbine (orange bar) and diesel engine (gray bar) in Figure 7a,c become the main power supplies due to no main grid. Using the economic dispatch strategy by solving EEDOA with w=1, the diesel consumption (diesel engine) in Figure 7a is higher than in Figure 7c, such that the corresponding SOC in Figure 7b is higher than in Figure 7d. ...
Context 10
... In the islanded mode, the gas turbine (orange bar) and diesel engine (gray bar) in Figure 7a,c become the main power supplies due to no main grid. Using the economic dispatch strategy by solving EEDOA with w=1, the diesel consumption (diesel engine) in Figure 7a is higher than in Figure 7c, such that the corresponding SOC in Figure 7b is higher than in Figure 7d. ...
Context 11
... In the islanded mode, the gas turbine (orange bar) and diesel engine (gray bar) in Figure 7a,c become the main power supplies due to no main grid. Using the economic dispatch strategy by solving EEDOA with w=1, the diesel consumption (diesel engine) in Figure 7a is higher than in Figure 7c, such that the corresponding SOC in Figure 7b is higher than in Figure 7d. ...
Context 12
... the grid-connected mode, the lower bounds of SOC in Figure 6b,d can maintain over 0.1; notably, the power dispatch with a forecast can reduce the upper bounds of SOC as compared to the power dispatch without a forecast. In the islanded mode, the power dispatch with a forecast can reduce the upper bounds of SOC as compared to the power dispatch without a forecast, but it may induce a very low battery (close to 0) risk during a period of one day as shown in Figure 7b,d. It is noted that the hour-ahead forecast power dispatch strategy can reduce QR and decrease operating costs. ...
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... This independence can be achieved, on the one hand, through the management of endogenous fossil resources, such as coal, oil or natural gas, but also, from the perspective of decarbonizing energy production, by the use of renewable energy sources [2,3]. This balance between using (or even replacing) fossil energy forms with renewable alternatives allows countries like Portugal, which do not have their own coal, oil and natural gas resources, to reduce their trade balance with third countries by decreasing imports of energy products [4][5][6]. On the contrary, the utilization of plentifully accessible internal resources such as favorable solar exposure, ample winds, and even the existence of watercourses with energy generation potential (although this possibility is hindered by some unpredictability and intermittency caused by the changing weather conditions) enables Portugal to secure an escalating proportion inclined towards the use of renewable energy sources [7]. ...
... The landscape of the traditional distribution grid is rapidly changing with the increasing penetration of distributed energy resources (DERs) such as PVs and energy storage (ES) units. Although the addition of DER units presents several benefits, such as the reduction of fossil-fuel-based energy usage, and more potential benefits, such as improved grid resiliency, the current grid infrastructure is not equipped to deal with the stochastic nature and the bidirectional power flow in feeders associated with the high penetration of such units [1][2][3]. Therefore, more research is necessary regarding the high penetration of DER-based distribution feeders to fulfill their potential. ...
In this paper, genetic algorithm (GA)-based voltage optimization of a modified IEEE-34 node distribution feeder with high penetration of distributed energy resources (DERs) is proposed using two megawatt-scale reactive power sources. Traditional voltage support units present in distribution grids are not suitable for DER-rich feeders, while voltage support using small-scale DERs present in the feeder requires considerable communication effort to reach a global solution. In this work, two megawatt-scale units are placed to improve the voltage profile across the IEEE 34-node feeder, which has been modified to include several PV units and an energy storage unit. The megawatt-scale units are optimized using GA for fast and accurate operation. The performance of the proposed scheme is verified using simulation results with a multi-platform setup where the modified IEEE-34 node feeder is modeled in OpenDSS while the GA optimization scheme is programmed in MATLAB.
