A Stochastic Generation Scheduling Model for Large-scale Wind Power Penetration Considering Demand-side Response and Energy Storage
The presence of high levels of wind power production brings technical and economic challenges to system operators. To better accommodate wind power, this paper proposes a coordinated scheduling optimization model considering demand-side response (DR) and energy storage (ES), incorporating conditional value-at-risk (CVaR) assessment. In this paper we use CVaR as the risk measure to evaluate the risk of loss of load and wind curtailment and indicate decision attitudes. Price-based DR program and ES are incorporated into generation scheduling and uncertainty from wind power prediction and DR is considered. The proposed model is tested in a 5-bus system. The results show that scheduling costs are different with different security risk weight and the coordination of DR and ES efficiently increases the level of wind power integration.
conditional value-at-risk demand-side response energy storage system wind uncertainty
Hao Gong Hongtao Wang
Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University)
国际会议
西安
英文
1-6
2016-09-01（万方平台首次上网日期，不代表论文的发表时间）