考虑需求响应和碳排放额度的微电网分层优化调度

doi:10.11930/j.issn.1004-9649.202206067

中国电力 ›› 2022, Vol. 55 ›› Issue (10): 45-53.DOI: 10.11930/j.issn.1004-9649.202206067

• 多元负荷用能感知及友好互动 • 上一篇下一篇

考虑需求响应和碳排放额度的微电网分层优化调度

周孟然, 王旭, 邵帅, 胡锋, 朱梓伟, 张易平

安徽理工大学电气与信息工程学院，安徽淮南　232001

收稿日期:2022-06-16 修回日期:2022-08-25 出版日期:2022-10-28 发布日期:2022-10-20
作者简介:周孟然（1965—），男，博士，教授，从事电力系统自动化和电力工程信号处理研究，E-mail：mrzhou8521@163.com;王旭（1998—），男，通信作者，硕士研究生，从事负荷调控、优化调度研究，E-mail：wangxu1567@163.com
基金资助:
国家重点研发计划资助项目(2018YFC0604503)；安徽省自然科学基金能源互联网联合基金重点资助项目(2008085UD06)；安徽省科技重大专项资助项目(201903a07020013)；安徽高校自然科学研究重点项目(KJ2021A0470)。

Hierarchical Optimal Scheduling of Microgrid Considering Demand Response and Carbon Emission Quota

ZHOU Mengran, WANG Xu, SHAO Shuai, HU Feng, ZHU Ziwei, ZHANG Yiping

College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China

Received:2022-06-16 Revised:2022-08-25 Online:2022-10-28 Published:2022-10-20
Supported by:
This work is supported by National Key Research & Development Program of China (No.2018YFC0604503), Natural Science Fundation Energy Internet Joint Fund Project of Anhui Province (No.2008085UD06), Major Science & Technology Program of Anhui Province (No.201903a07020013) and Key Projects of Natural Science Research in Anhui Universities (No.KJ2021A0470).

摘要/Abstract

摘要： 针对目前并网型微电网实现资源协同优化，提高微电网运行的经济性与环保水平，建立了考虑需求响应和碳排放额度的微电网分层优化调度模型。在微电网负荷侧考虑分时电价和新能源消纳来优化负荷曲线，并采用多重指标对优化方案进行评价，在微电网发电侧考虑碳排放限额，对微电网内部分布式电源进行优化调度以实现微电网综合运行成本最低的目标。采用混沌粒子群算法（chaos particle swarm optimi-zation, CPSO）求解该优化问题，通过算例仿真分析了柔性负荷占比0%、10%、20%和不同碳排放量额度约束下的优化结果，验证了模型与算法的有效性。

关键词: 优化调度, 混沌粒子群, 需求响应, 用电满意度, 碳排放额度

Abstract: In order to realize coordinated resource optimization and improve the economy and environmental protection of the grid-connected microgrids, a hierarchical optimal scheduling model is established with consideration of demand response and carbon emission quota. On the load side, the time of use price and new energy consumption optimization load curve are considered, and multiple indicators are used to evaluate the optimization schemes. On the power generation side, the carbon emission quota is considered, and the distributed power generation within microgrid is optimized to achieve the goal of lowest comprehensive operation cost. The chaos particle swarm optimization (CPSO) is used to solve the optimization problem. The optimization results under the flexible load ratio of 0%, 10%, 20% and different carbon emission limits are analyzed by numerical simulation, which verifies the effectiveness of the proposed model and algorithm.

Key words: optimal scheduling, chaos particle swarm, demand response, electricity satisfaction, carbon emission quota

周孟然, 王旭, 邵帅, 胡锋, 朱梓伟, 张易平. 考虑需求响应和碳排放额度的微电网分层优化调度[J]. 中国电力, 2022, 55(10): 45-53.

ZHOU Mengran, WANG Xu, SHAO Shuai, HU Feng, ZHU Ziwei, ZHANG Yiping. Hierarchical Optimal Scheduling of Microgrid Considering Demand Response and Carbon Emission Quota[J]. Electric Power, 2022, 55(10): 45-53.

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考虑需求响应和碳排放额度的微电网分层优化调度

Hierarchical Optimal Scheduling of Microgrid Considering Demand Response and Carbon Emission Quota

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考虑需求响应和碳排放额度的微电网分层优化调度

Hierarchical Optimal Scheduling of Microgrid Considering Demand Response and Carbon Emission Quota

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