In this paper, a regret-based risk-averse stochastic production task and energy management (PTEM) model for industrial microgrid is proposed, which is applied to a battery manufacturing plant (BMP) microgrid. We incorporate production task scheduling with production constraints in the energy management of industrial microgrid. The general PTEM of industrial microgrids is analyzed and the production processes and energy requirements of a BMP multi-energy microgrid prosumer are presented, in which thermostatically controlled loads (TCLs) in buildings are considered. Then, the regret-based risk-averse PTEM model is formulated as a mixed-integer linear programming (MILP) problem based on stochastic programming considering uncertainties of day-ahead electricity market price and photovoltaic (PV) power output. Conditional value-at-risk (CVaR) is introduced for risk control and utilized for minimizing the expected regret. Numerical studies are carried out to validate the proposed model by comparing with risk-neutral approach and deterministic model based on real market prices from PJM electricity market. The results show that the proposed PTEM approach is effectively risk-averse. In addition, the impacts of total target production task and risk-control parameter on expected cost and regret are analyzed.

中文翻译：

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在工业微电网的能源管理中纳入生产任务计划：基于遗憾的随机规划方法

本文提出了一种基于遗憾的规避风险的工业微电网随机生产任务和能源管理（PTEM）模型，并将其应用于电池制造厂（BMP）微电网。我们将具有生产约束的生产任务计划纳入工业微电网的能源管理中。分析了工业微电网的一般PTEM，并提出了BMP多能量微电网生产商的生产过程和能源需求，其中考虑了建筑物中的恒温控制负载（TCL）。然后，基于日后电力市场价格和光伏（PV）输出的不确定性，基于随机规划，将基于后悔的风险规避PTEM模型构建为混合整数线性规划（MILP）问题。引入条件风险值（CVaR）来进行风险控制，并用于最小化预期的后悔。通过与风险中性方法和基于PJM电力市场的实际市场价格的确定性模型进行比较，进行了数值研究以验证所提出的模型。结果表明，提出的PTEM方法有效地规避了风险。此外，分析了总目标生产任务和风险控制参数对预期成本和后悔的影响。