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Abstract
To achieve self-healing in the smart grid, the microgrid can be switched to the islanded state for effective autonomy in the event of disasters or attacks. Based on the data collected by smart meters, the microgrid can support an efficient energy scheduling strategy to guide both energy suppliers and consumers so that electricity can be used efficiently. Significant research efforts have been carried out regarding energy scheduling. Nonetheless, the majority of existing strategies failed to prioritize consumers. In fact, the energy consumption order of different users should be distinguished from each other in islanded microgrids with limited energy supply, meaning that they have different priority. To address this issue, in this paper we propose an energy scheduling strategy with priority within islanded microgrids (E2SP) to ensure that consumers with higher priority can obtain energy supply in an earlier order. To be specific, we solve the problem of deriving the amount of power each energy supplier should supply to each consumer via using the Goal Programming Model with positive and negative deviation variables. To evaluate the validity of E2SP, we conduct comprehensive experiments in five cases. The results show that the E2SP strategy can effectively ensure that energy is supplied to consumers in order of priority. In addition, we introduce the dissatisfaction degree as a metric to measure the effectiveness of our strategy. Simulation results show that our E2SP strategy has a lower dissatisfaction degree compared with the scheduling strategy without considering priority, indicating that our E2SP strategy is more effective.
Highlights
With the advance of Internet of Things, a number of smart-world systems can be supported in different domains, including energy, transportation, cities, and healthcare, among others [1]–[8]
In terms of the dissatisfaction degree that we introduced, the results show that our proposed E2SP strategy has a lower dissatisfaction degree compared with the model without considering priority, meaning that the E2SP strategy is more efficient
Within the microgrid MG 2, the microgid central controller is denoted as MGCC 2, LC 1 and LC 2 represent the Local Controllers, and M 1 to M 8 are smart meters deployed by energy suppliers and energy consumers
Summary
With the advance of Internet of Things, a number of smart-world systems can be supported in different domains, including energy, transportation, cities, and healthcare, among others [1]–[8]. It is of paramount importance to develop scheduling strategies that rank the consumers, ensuring that consumers with higher priority can obtain energy supply in an earlier order [51]–[54]. To fill this gap, in this paper we develop an energy scheduling strategy with priority within islanded microgrids ( called E2SP) based on the Goal Programming Model [55]–[57]. VOLUME 7, 2019 to each consumer, and the order to obtain energy supply of different consumers is consistent with priority levels and weight factors.
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