Abstract
To cope with the challenges due to increasing peak load, an optimal day-ahead scheduling problem for social welfare maximization is proposed, in which not only the comfort level of consumers and costs of power suppliers but also the power losses in transmission and operation costs of transmission owners are taken into account. Then this optimal day-ahead scheduling problem is reformulated and solved via the alternating direction method of multipliers (ADMM), by which fast convergence is guaranteed and the privacy of participants is ensured, in a distributed manner. Specifically, in the proposed distributed optimal day-ahead scheduling, the hourly prices for consumers are divided into hourly supply prices and hourly delivery prices, which will be updated by the independent system operator based on the hourly demand-supply situations and hourly demand-delivery situations, respectively. And the consumers, power suppliers, and transmission owners make their individual optimal day-ahead scheduling based on their individual hourly prices, hourly supply prices, and hourly delivery prices, respectively, until the hourly demand-supply balances and hourly demand-delivery balances are achieved. Effectiveness of the proposed distributed optimal day-ahead scheduling is verified by the cases studied.
Highlights
Increasing peak load due to economic development and replacing fossil fuels with electricity power has resulted in serious challenges to the power grid, such as increasing the operation costs and decreasing the reliability of power grid [1, 2]
A distributed optimal day-ahead scheduling for social welfare maximization is proposed, which will be suitable for a future smart grid
The hourly supply prices of each power supplier are regulated by the independent system operator (ISO) based on his individual hourly demand-supply situations, and the hourly delivery prices of each transmission owner are regulated by the ISO based on his individual hourly demand-delivery situations
Summary
Increasing peak load due to economic development and replacing fossil fuels with electricity power has resulted in serious challenges to the power grid, such as increasing the operation costs and decreasing the reliability of power grid [1, 2]. In this paper, a distributed optimal day-ahead scheduling for social welfare maximization is proposed, in which the comfort level of consumers and costs of power suppliers and the costs of transmission owners are considered. Based on experience and their individual hourly differences, ISO proposes hourly supply prices for each power supplier and hourly delivery prices for each transmission owner and broadcasts the hourly demand-supply differences, hourly demand-delivery differences, hourly prices, hourly supply prices, and hourly delivery prices to the corresponding participants. Each power supplier makes optimal day-ahead hourly supplies based on his individual hourly supply prices and half updated hourly demand-supply differences and submits them to the ISO as well. Each transmission owner makes optimal day-ahead hourly deliveries based on his individual hourly delivery prices and half updated hourly demand-delivery differences and submits them to the ISO.
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