考虑需求响应与储能系统的联合调峰优化策略

Joint Peak Shaving Optimization Strategy Considering Demand Response and Energy Storage System

随着用户用电量不断增加,电网负荷波动增大,仅依靠传统单一的需求响应或储能系统调峰降低电网负荷波动效果有限。本文提出一种考虑需求响应与储能系统联合调峰优化策略:首先,通过分析用户需求特性和分时电价特性,建立需求响应调峰模型;然后,根据负荷曲线趋势建立储能系统调峰模型;最后,联合需求响应和储能系统参与调峰,构建以用户购能成本和优化后负荷标准差最小为目标函数的联合调峰优化策略模型,并运用商用求解器进行求解。经算例分析表明,联合调峰优化策略能够在不影响用户用电量的情况下实现购能成本最低,实现电网负荷波动最小。

With the increasing power consumption of users,the fluctuation of power grid load increases.Only relying on the traditional single demand response or peak shaving of energy storage system to reduce the fluctuation of power grid load is limited.This paper proposes a joint peak shaving optimization strategy considering demand response and energy storage system.Firstly,the demand response peak shaving model is established by analyzing the characteristics of user demand and time⁃of⁃use electricity price.Then,the peak regulation model of energy storage system is established according to the trend of load curve.Finally,the joint demand response and energy storage system are involved in peak shaving,and a joint peak shaving optimization strategy model is constructed,the objective function of which is the minimum energy purchase cost of users and the standard deviation of optimized load,and a commercial solver is used to solve the problem.The analysis of examples shows that under the joint peak shaving optimization strategy,the minimum energy purchase cost and the minimum load fluctuation can be realized without affecting the power consumption of users.