• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2022, Vol. 43 ›› Issue (12): 103-111.doi: 10.12204/j.issn.1000-7229.2022.12.011

• Energy Management and Scheduling • Previous Articles     Next Articles

Day-ahead Economic Dispatch Model of Park Integrated Energy System Considering Reserve Allocation of Energy Storage

YANG Ruilin1,2(), LI Keran2, LIU Junyong1, LIU Jichun1, XIANG Yue1   

  1. 1. School of Electrical Engineering,Sichuan University,Chengdu 610065,China
    2. State Grid Luzhou Power Supply Company,Luzhou 646000,Sichuan Province,China
  • Received:2022-06-01 Online:2022-12-01 Published:2022-12-06
  • Contact: YANG Ruilin E-mail:605324653@qq.com
  • Supported by:
    National Natural Science Foundation of China(U2066209)


Reserve can effectively deal with the risk brought by uncertainties and ensure the safe operation of park integrated energy system (PIES). However, previous studies mainly focused on the reserve capacity of generators to deal with the risk brought by uncertainties, and did not consider the reserve role of other flexible resources such as energy storage devices. An economic scheduling model of PIES is proposed in this paper, which considers the participation of energy storage devices in reserve allocation. The reserve capacity provided by electric energy storage, diesel generator and combined heat and power (CHP) is utilize to stabilize the volatility of wind and photovoltaic power. In order to balance the influence of reserve allocation on the operation safety and economy of PIES, a reserve allocation model considering renewable energy and load uncertainties is constructed on the basis of chance constrained programming (CCP). The reserve allocation model is embedded into the day-ahead optimal scheduling model to improve the rationality of day-ahead energy and reserve decision-making plan. By using discrete step transformation and stochastic simulation method, the original non-convex CCP problem is transformed into a solvable mixed integer linear programming (MILP) problem. The simulation results show that the participation of energy storage devices in reserve allocation can improve the operation flexibility of generators, thus improving the economy of system operation. By adjusting the confidence level of the upward and downward reserve constraint, the conservative degree of the park reserve decision can be changed, thus balancing the economy and reliability requirements of the system operation.

Key words: chance-constrained programming, park integrated energy system, discretized step transformation, reserve allocation, energy storage

CLC Number: