Micro-grid Scheduling of Electric Boiler and CHP with Thermal Energy Storage Based on Wind Power Accommodating

2019 IEEE 10th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) Pub Date : 2019-06-01 DOI:10.1109/PEDG.2019.8807672

Hongxia Yu, Kun Zhang, Yuying Liu, J-C Dai, Zhengming Sun

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引用次数: 5

Abstract

Electric boiler and the combined heat and power (CHP) unit with thermal energy storage (TES) as the main means to solve the problem of wind curtailment into the micro-grid. In order to further eliminate wind curtailment, the wind curtailment coordination scheduling model with the lowest economic cost is established. Considering the influence of the electric boiler on the working state of CHP unit with TES, analyzing the operating characteristics of electric boiler and CHP with TES, calculating the wind power accommodating space for better eliminate wind curtailment, constraint on the maximum elimination of wind curtailment, the storage heat release power incremental model and the heating power model of the electric boiler is proposed. Taking differential evolution (DE) algorithm to solve the dispatch model. The results show that micro-grid scheduling model of electric boiler and CHP with TES can completely eliminate the wind and reduce the operating cost.

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基于风电调节的蓄热电锅炉热电联产微网调度

电锅炉和以热储能(TES)为主要手段的热电联产(CHP)机组解决了弃风入微电网的问题。为了进一步消除弃风，建立了经济成本最低的弃风协调调度模型。考虑到电锅炉对带TES的热电联产机组工作状态的影响，分析了带TES的电锅炉和热电联产的运行特点，计算了更好地消除弃风的风电容纳空间，对最大限度消除弃风的约束，提出了电锅炉蓄热释放功率增量模型和供热功率模型。采用差分进化(DE)算法求解调度模型。结果表明，采用TES的电锅炉和热电联产微网调度模型可以完全消除风力，降低运行成本。

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2019 IEEE 10th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

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