面向工业园区的工业集群负荷参与电力市场策略研究

Research on power market strategy for industrial parks-oriented industrial clusters

中文关键词: 负荷预测  电力市场  用能管理  集群工业

英文关键词: loading prediction  power market  energy management  cluster industry

中文摘要:

      以浙江省典型工业用户作为研究对象，分析了工业集群负荷参与需求响应的潜力，建立了需求响应模型。考虑聚合商参与电能量市场和调峰辅助服务市场的不确定性，以及中标概率、调用概率和短缺可能性，利用贝叶斯神经网络进行预测，建立了聚合商参与联合市场的竞标策略模型，通过最小化购电成本和最大化需求响应收益得到各时段内园区在现货市场的购电量。所提出策略为工业集群和聚合商提供更准确、实用的决策依据，使市场参与者能够更明智地选择投标时间和容量，并考虑如何最小化电力短缺风险以及最大化总利润，可以为制定工业集群负荷聚合商参与电力市场的策略提供重要参考。

英文摘要:

      Taking the typical industrial users of Zhejiang Province as the research object, the potential for participating in the demand response of industrial cluster loads is analyzed, and a demand response model has been established. Considering the uncertainty of the aggregate participation in the electrical energy market and the peak adjustment assist service market, including the probability of winning bids,calling calls, calling probability and shortage possibilities, Bayesian neural network is used to predict, a bidding strategy model for aggregates is established to participate in the joint market, and the purchase of the park in the spot market in each period of time is obtained.Through the minimum cost of electricity purchase and maximum demand response income, the power purchase volume of the park in the spot market in each period is obtained. Important references for the formulation of industrial cluster load aggregates to participate in the power market can be provided, selecting the bidding time and capacity, and considering how to minimize the risk of power shortage and maximize the total profit.