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Energies 2017, 10(9), 1425; https://doi.org/10.3390/en10091425

Optimal Scheduling Strategy for Domestic Electric Water Heaters Based on the Temperature State Priority List

1
Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
2
China Electric Power Research Institute, Beijing 100192, China
3
Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
*
Author to whom correspondence should be addressed.
Academic Editor: Josep M. Guerrero
Received: 30 August 2017 / Revised: 12 September 2017 / Accepted: 14 September 2017 / Published: 18 September 2017
(This article belongs to the Section Electrical Power and Energy System)
View Full-Text   |   Download PDF [5241 KB, uploaded 18 September 2017]   |  

Abstract

With the rapid growth of thermostatically controlled loads, active power fluctuation and peak demand growth within an autonomous micro-grid become serious problems. This paper tries to suppress power fluctuation and shave peak demand for a micro-grid through optimizing domestic electric water heaters (controllable load). In this paper, domestic electric water heater models are first built to optimize power flow within a single water heater. Subsequently, the Monte Carlo method is proposed to simulate power consumption of a cluster of domestic electric water heaters. After that, the temperature state priority list method is presented to suppress power flow and shave peak demand for a given micro-grid. Optimization results show that the proposed temperature state priority list method can reduce peak demand by 12.5%. However, it has a wider active power fluctuation range and needs a longer reaction time compared with the simplified temperature state priority list method. In addition, the optimization results show that by increasing the number of controllable loads participating in load scheduling, active power fluctuation can be reduced and the maximum active power of the given micro-grid can be cut. However, to achieve this, about 1.2% of extra electrical energy needs to be generated by the external grid. View Full-Text
Keywords: domestic electric water heater; Monte Carlo simulation; priority list; demand response; load scheduling domestic electric water heater; Monte Carlo simulation; priority list; demand response; load scheduling
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Yin, Z.; Che, Y.; Li, D.; Liu, H.; Yu, D. Optimal Scheduling Strategy for Domestic Electric Water Heaters Based on the Temperature State Priority List. Energies 2017, 10, 1425.

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