杨瑞琳, 李可然, 刘俊勇, 刘继春, 向月. 考虑储能参与备用配置的园区综合能源系统日前经济调度模型[J]. 电力建设, 2022, 43(12): 103-111.
引用本文: 杨瑞琳, 李可然, 刘俊勇, 刘继春, 向月. 考虑储能参与备用配置的园区综合能源系统日前经济调度模型[J]. 电力建设, 2022, 43(12): 103-111.
YANG Rui-lin, LI Ke-ran, LIU Jun-yong, LIU Ji-chun, XIANG Yue. Day-ahead Economic Dispatch Model of Park Integrated Energy System Considering Reserve Allocation of Energy Storage[J]. Electric Power Construction, 2022, 43(12): 103-111.
Citation: YANG Rui-lin, LI Ke-ran, LIU Jun-yong, LIU Ji-chun, XIANG Yue. Day-ahead Economic Dispatch Model of Park Integrated Energy System Considering Reserve Allocation of Energy Storage[J]. Electric Power Construction, 2022, 43(12): 103-111.

考虑储能参与备用配置的园区综合能源系统日前经济调度模型

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

  • 摘要: 备用容量可以有效应对不确定性风险,能够保障园区综合能源系统的安全运行。然而,以往研究主要利用发电侧备用能力来应对不确定性风险,未能考虑储能装置等其他柔性资源的备用作用。因此,文章提出一种考虑储能装置参与备用配置的园区综合能源系统日前经济调度模型,园区内部通过电储能装置、柴油发电机与热电联产机组提供备用容量平抑内部风光荷的波动性。为了平衡备用配置对于园区综合能源系统运行安全性与经济性的影响,引入机会约束规划方法构建计及可再生能源和负荷不确定性的概率备用配置模型,并将备用配置模型嵌入到日前优化调度模型中以提升日前能量与备用决策计划的合理性。基于离散化步长变换法和随机模拟方法将原来非凸机会约束规划问题转化为可求解的混合整数线性规划问题。仿真结果表明,储能装置参与备用配置可以提升发电机组运行的灵活性,从而提升系统运行的经济性;通过向上、向下调节备用约束成立的置信水平可以改变园区备用决策的保守程度,从而平衡系统运行的经济性与可靠性需求。

     

    Abstract: 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.

     

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