Risk-Limiting Unit Commitment in Smart Grid With Intelligent Periphery
Risk-Limiting Unit Commitment in Smart Grid With Intelligent Periphery
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DOI：
10.1109/tpwrs.2017.2672939
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发表时间：
2017-02
影响因子：
6.6
通讯作者：
Chaoyi Peng;Yunhe Hou;N. Yu;Weisheng Wang
中科院分区：
文献类型：
--
作者：
Chaoyi Peng;Yunhe Hou;N. Yu;Weisheng Wang
本文提出风险限制机组组合（RLUC）作为应对具有智能边缘（GRIP）的智能电网中不确定性的运行方法。确定了GRIP中RLUC的三个关键要求。第一个要求是将RLUC建模为一个考虑电力交易、运行约束和运行风险的多阶段多时段机组组合问题。第二个要求是RLUC考虑条件预测以实现全局最优解。这通过以基于场景的形式使用条件概率来解决。最后一个要求是RLUC中的风险指标既要有效又要便于计算，这通过使用一致性风险指标以及风险链定理的数学证明来解决。最后，通过等效转换为混合整数分段线性规划问题来求解满足所有三个要求的GRIP中的综合RLUC。对一个9节点系统、一个实际的省级电力系统以及中国的一个区域电网的案例研究证明了所提出的GRIP中的RLUC的优势。
This paper proposes the risk-limiting unit commitment (RLUC) as the operational method to address the uncertainties in the smart grid with intelligent periphery (GRIP). Three key requirements are identified for the RLUC in GRIP. The first one requires the RLUC to be modeled as a multistage multiperiod unit commitment problem considering power trades, operational constraints, and operational risks. The second one requires the RLUC considering the conditional prediction to achieve a globally optimal solution. It is addressed by using conditional probability in a scenario-based form. The last one requires the risk index in the RLUC to be both valid and computationally friendly, and it is tackled by the utilization of a coherent risk index and the mathematical proof of a risk chain theorem. Finally, the comprehensive RLUC in GRIP satisfying all the three requirements is solved by an equivalent transformation into a mixed integer piecewise linear programming problem. Case studies on a nine-bus system, a realistic provincial power system, and a regional power grid in China demonstrate the advantages of the proposed RLUC in GRIP.