Optimization economic dispatch of a multi-source system considering the participation of demand response and concentrating solar power plant
DOI：10.19783/j.cnki.pspc.191042
Key Words:demand response  concentrating solar power plant  multi-source system  condition value at risk  operational risk
Author NameAffiliation
YUN Yunyun 1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
2. School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
3. Electric Power Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730070, China 
DONG Haiying 1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
2. School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
3. Electric Power Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730070, China 
MA Zhicheng 1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
2. School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
3. Electric Power Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730070, China 
LI Shuaibing 1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
2. School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
3. Electric Power Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730070, China 
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Abstract:Considering the problems of new energy consumption and economic dispatch of power system, an optimization economic dispatch method of a multi-source system considering the participation of Demand Response (DR) and the Concentrating Solar Power (CSP) plant is proposed. First, this paper establishes the demand response model and the CSP plant model. Then, it introduces price-based demand response, incentive-based demand response and CSP plant to take part in multi-source system scheduling and introduces the theory of Condition Value at Risk (CVaR) as objective function to depict the system operational risk caused by uncertainty. An optimization economic dispatch model of a multi-source system is established. The simulation results show that the collaborative implementation of various DRs has a better effect on load shifting. Introducing the CSP plant into a system can improve the consumption depth. The CVaR theory can effectively reflect the level of system risk caused by uncertainty and provide scheduling-decision evidence for the system manager. This work is supported by Science and Technology Project of State Grid Corporation of China (No. 52272218002L) and National Natural Science Foundation of China (No. 61663019).
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