| 引用本文: | 马国龙,蔡泽祥,刘平.考虑电价激励需求响应下多主体微电网电源容量优化[J].电力自动化设备,2019,39(5): |
| MA Guolong,CAI Zexiang,LIU Ping.Power capacity optimization of microgrid with multiple subjects considering price incentive demand response[J].Electric Power Automation Equipment,2019,39(5): |
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| 摘要: |
| 考虑多主体微电网中用户在电价激励需求响应的基础上，实现微电网风-光-柴-储的容量优化配置。在电力市场环境下，通过考虑微电网内多元主体的不同职能，建立两阶段优化模型：阶段1建立微电网运营商与消费者之间的完全信息博弈互动模型，在保障售电商利益的前提下，以消费者盈余最大为优化目标，得到微电网内的最优峰谷分时电价策略，进而得到消费者在电价激励下的需求响应曲线；阶段2通过微电网电源投资商与微电网运营商之间的博弈互动，以微电网电源投资商的利益最大化为优化目标，得到微电网内不同分布式电源容量的最优化配置策略。结合某一地区的历史数据信息进行仿真算例分析，验证所提模型的有效性。 |
| 关键词: 微电网 容量优化配置 博弈互动 需求响应 两阶段优化 模型 电价激励 |
| DOI：10.16081/j.issn.1006-6047.2019.05.014 |
| 分类号:TM732 |
| 基金项目:广东省自然科学基金资助项目(2017A030313288) |
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| Power capacity optimization of microgrid with multiple subjects considering price incentive demand response |
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MA Guolong, CAI Zexiang, LIU Ping
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School of Electric Power, South China University of Technology, Guangzhou 510640, China
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| Abstract: |
| The optimal capacity configuration of wind, photovoltaic, diesel generator and energy storage is realized based on the price incentive demand response of consumers in the microgrid with multiple subjects. In the environment of electricity market, a two-stage optimization model is established by considering the different functions of multiple subjects in the microgrid. In stage 1, the complete information interactive game model between microgrid operators and consumers is established with the maximum consumer profits as its optimization objective, on the premise of protecting the interests of electricity retailers, based on which, the optimal peak-valley time-of-use electricity price strategy of microgrid is obtained, and then the demand response curves of consumers under the price incentive are obtained. In stage 2, the optimal capacity configuration strategies of different distributed generators in the microgrid are obtained with the maximum benefits of microgrid power investors as its optimization objective, which is based on the interactive game between the microgrid power investors and microgrid operators. The validity of the proposed model is verified by a simulation example based on the historical data of a certain region. |
| Key words: microgrid optimal capacity configuration interactive game demand response two-stage optimization models price incentive |
