风电场输出的功率具有波动性和随机性，风电场并网后其出力的不确定性会导致电网供电量不足，影响电网的安全稳定运行，且由多场景方法得到的一系列规划方案并不都是综合最优方案。针对上述情况在输电网规划中引入紧急需求侧响应策略，并根据鲁棒优化思想引入权衡方案鲁棒性与可行性的惩罚模型以及评判方案风险性的平均变量模型来确定综合最优方案。算例分析证明，引入紧急需求侧响应法在风电出力少时虽需削减负荷，并额外支付用户部分补偿费用，但却可以有效减少电网投资费用及线路过负荷量，且所得综合最优方案对各个场景具有概率意义上的综合适应性。
Abstract
The output of wind farms has volatility and randomness. After wind farms are connected to the grid, the uncertainty of its output can lead to insufficient power supply, which has an effect on the safe and stable operation of the power grid. And a series of planning scheme obtained by multi-scenario method is not always the comprehensive optimal solution. For this sake, emergency demand-side response is introduced in transmission network planning. And according to the idea of robust optimization, the comprehensive optimal scheme is determined by the punishment model to weigh the robustness and feasibility of the strategy and the average variable model to assess the plan’s risk. Example analysis shows that the introduction of emergency demand-side response can effectively reduce the investment cost of power grid and the amount of line overload, though which need to cut the load and pay users part of the compensation fees additionally when wind power output is low. And the obtained comprehensive optimal solution has a better integrated adaptability in probability sense for each scenario.
关键词
输电网规划 /
风电并网 /
多场景 /
紧急需求侧响应 /
鲁棒优化
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Key words
transmission network planning /
wind power integration /
multi-scenario /
emergency demand-side response /
robust optimization
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