SHEAP's priority is to help the customer minimize the av-erage energy consumption, along with the initial investment needed (e.g., reduction of sensors and distributed energy re-sources materials), such that the return of investment can be ob-tained in the shortest amount of time. As a side effect, SHEAP can cause a reduction in the generation of energy in the grid, thus, lowering the probability of a power outage, which can be vety expensive (e.g., around $100 million [1]).
13. Fault Tolerance Fault tolerance is vital for future smart grids, to provide self healing, and/or disaster detection and preparations. With fault tolerance, a smart grid can react in the event of sonic disaster. Its reaction could include a switch to use an emergency power source, change its current configuration to adapt on the fault, or notify its neighbors to let know of its current status (Fig. 2). To develop fault tolerance configuration in central control, a Pareto ranking scheme, shown in Algorithm 1, is used to deter-mine an optimal solution surface. This optimal solution surface is developed with the help of the 2D-BPSO algorithm.
SHEAP's priority is to help the customer minimize the av-erage energy consumption, along with the initial investment needed (e.g., reduction of sensors and distributed energy re-sources materials), such that the return of investment can be ob-tained in the shortest amount of time. As a side effect, SHEAP can cause a reduction in the generation of energy in the grid, thus, lowering the probability of a power outage, which can be vety expensive (e.g., around $100 million [1]). 13. Fault Tolerance Fault tolerance is vital for future smart grids, to provide self healing, and/or disaster detection and preparations. With fault tolerance, a smart grid can react in the event of sonic disaster. Its reaction could include a switch to use an emergency power source, change its current configuration to adapt on the fault, or notify its neighbors to let know of its current status (Fig. 2). To develop fault tolerance configuration in central control, a Pareto ranking scheme, shown in Algorithm 1, is used to deter-mine an optimal solution surface. This optimal solution surface is developed with the help of the 2D-BPSO algorithm.
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SHEAP's priority is to help the customer minimize the av-erage energy consumption, along with the initial investment needed (e.g., reduction of sensors and distributed energy re-sources materials), such that the return of investment can be ob-tained in the shortest amount of time. As a side effect, SHEAP can cause a reduction in the generation of energy in the grid, thus,ลดความน่าจะเป็นของไฟฟ้าดับ ซึ่งสามารถ vety แพง ( เช่น ประมาณ $ 100 ล้านบาท [ 1 ] )
13 ความผิดความอดทนความผิดความอดทนเป็นสิ่งสำคัญสำหรับสมาร์ทกริดในอนาคต เพื่อให้การรักษาด้วยตนเอง และ / หรือ ภัยพิบัติและการเตรียมการ . กับความอดทนความผิด , สมาร์ทกริดสามารถตอบสนองในเหตุการณ์ภัยพิบัติ โซนิค ปฏิกิริยาของมันสามารถรวมเปลี่ยนไปใช้แหล่งพลังงานฉุกเฉิน , change its current configuration to adapt on the fault, or notify its neighbors to let know of its current status (Fig. 2). To develop fault tolerance configuration in central control, a Pareto ranking scheme, shown in Algorithm 1, is used to deter-mine an optimal solution surface. This optimal solution surface is developed with the help of the 2D-BPSO algorithm.
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