摘要
针对虚拟电厂(VPP)内部风光资源的不确定性给其参与调峰市场带来影响的问题,对以VPP为主体参与调峰市场开展研究。采取VPP同时参与直接电力交易市场与调峰市场的运营模式,计及风光出力不确定性的影响,提出基于条件风险价值理论的VPP日前优化运行模型;利用Shapley值法对各成员联合运行后取得的期望成本进行合理分配。算例仿真验证了所提运行策略的有效性与合理性。
Aiming at the problem that the uncertainty of wind and solar resources within VPP(Virtual Power Plant)brings impact on its participating in peak regulation market,the research of VPP participating in peak regulation market as the entity is carried out.The operation mode of VPP participating in both direct electricity trading market and peak regulation market is adopted,and a day-ahead optimal operation model of VPP based on conditional value at risk theory is proposed,which considers the uncertainty of wind and photovoltaic power.The Shapley value method is used to reasonably distribute the expected cost obtained by the combined operation of each member.Case simulation verifies the effectiveness and rationality of the proposed operation strategy.
作者
李嘉媚
艾芊
LI Jiamei;AI Qian(Key Laboratory of Power Transmission and Power Conversion Control,Ministry of Education,Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2021年第6期1-7,共7页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(U1866206)。
