首页|基于需求价格弹性矩阵的大工业分时电价激励策略研究

基于需求价格弹性矩阵的大工业分时电价激励策略研究

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分时电价机制是基于价格的需求侧响应机制中最有效的方式之一,执行峰谷分时电价能够有效抑制配电网负荷曲线波动,从而提高配电网运行可靠性.提出基于需求电价弹性矩阵的用户响应模型,以安徽省某市高新区大工业用户真实日负荷曲线为基础,以负荷曲线"削峰填谷"效果最好为优化目标,建立能更加充分反映城市电网大工业用户负荷变化的峰谷分时电价优化模型,建立面向用户需求侧响应的峰谷分时电价体系,利用粒子群算法求解分时电价的决策模型.通过算例验证所提方法的真实性和有效性,为实现配电网可靠运行和大工业用户节约用电成本提供理论和技术支撑.
Research on Incentive Strategy of Time-of-Use Electricity Price for Large-Scale Industry Based on Demand Price Elasticity Matrix
The time-of-use electricity pricing mechanism is one of the most effective ways of price-based demand side response mechanisms.The implementation of time-of-use pricing can effectively suppress the fluctuation of distribution network load curve,thereby improving the reliability of distribution network oper-ation.This paper proposes a user response model based on the demand price elasticity matrix,which is based on the real daily load curve of large industrial users in a high-tech zone of a city in Anhui Province,and takes the"peak shaving and valley filling"effect of the load curve as the optimal goal to establish a peak-valley time-of-use price optimization model that can more fully reflect the load changes of large in-dustrial users in the urban power grid.A peak-valley time-of-use electricity price system for user demand side response is established,and the decision-making model is solved by particle swarm optimization(PSO).The authenticity and effectiveness of the proposed method are verified through numerical exam-ples,providing theoretical and technical support for the reliable operation of the distribution network and cost saving for large industrial users.

demand price elasticity matrixtime-of-use pricedemand side responsepower grid opera-tion

薛新白、胡吕龙

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安徽职业技术学院,安徽 合肥 230011

国网安徽省电力有限公司营销服务中心,安徽 合肥 230031

需求价格弹性矩阵 分时电价 需求侧响应 电网运行

安徽省高等学校自然科学研究重大项目(2023)

2023AH040199

2024

安徽电气工程职业技术学院学报
安徽电气工程职业技术学院

安徽电气工程职业技术学院学报

影响因子:0.287
ISSN:1672-9706
年,卷(期):2024.29(2)
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