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

张 谦; 蒋永梅; 朱琪斌; 李凤婷; 高旭华; 潘 宇; 金佳佩

doi:10.3969/j.issn.1009-1831.2025.03.012

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

更新时间：2026-03-05

- Research on power market strategy for industrial parks-oriented industrial clusters
- Vol. 27, Issue 3, (2025)
- 作者机构：
  
  1. 国网浙江省电力有限公司舟山供电公司,浙江,舟山,316000
  2. 新疆大学电气工程学院,乌鲁木齐,830047
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2025.03.012
  CLC：
- Published：2025
- 稿件说明：
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张谦, 蒋永梅, 朱琪斌, et al. Research on power market strategy for industrial parks-oriented industrial clusters[J]. 2025, 27(3).
DOI：

张谦, 蒋永梅, 朱琪斌, et al. Research on power market strategy for industrial parks-oriented industrial clusters[J]. 2025, 27(3). DOI： 10.3969/j.issn.1009-1831.2025.03.012.

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。

Abstract

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.

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