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目录
💥1 概述
文献来源：
储能技术广泛应用于调频、调峰、平抑可再生能源出力波动、需求侧响应、提高用户可靠性等领域，对能源互联网的发展起到重要支撑作用。通过储能系统在电网电价谷时段存储电能，在电价峰时段释放电能供给用户，可以为用户节省用电成本，同时缓解电网调峰压力[2,3,4]。国家和地方政府大力推广储能技术的应用，储能的发展前景广阔。
目前关于共享储能的研究处于起步阶段，现有的工作以共享储能系统为主要研究对象，分析共享储能系统的商业模式和盈利情况，没有对用户参与共享储能系统的充放电行为和经济效益做深入研究。
本文在用户群间引入共享储能电站，建立以用户群日运行成本最优为目标的优化调度模型，分析用户群接入共享储能电站后的充放电行为和经济效益，并对共享储能电站的投资回收年限等经济性指标与服务费定价关系做出进一步的研究。
1.1 共享储能电站概念及运营模式
共享储能电站的概念如图 1 所示，储能电站运营商利用资金优势在用户群间建立大型共享储能电站，对储能电站进行统一运营管理，为同一配电网区域内的多个用户提供共享储能服务。
1.2 基于共享储能的优化调度模型
📚2 运行结果
2.1 场景分析
CPXPARAM_Simplex_Display 2 CPXPARAM_MIP_Tolerances_MIPGap 9.9999999999999995e-07 CPXPARAM_Barrier_Display 2 Tried aggregator 3 times. MIP Presolve eliminated 479 rows and 53 columns. Aggregator did 159 substitutions. Reduced MIP has 373 rows, 229 columns, and 1198 nonzeros. Reduced MIP has 46 binaries, 0 generals, 0 SOSs, and 0 indicators. Presolve time = 0.02 sec. (1.67 ticks) Found incumbent of value 4919.153611 after 0.03 sec. (2.56 ticks) Probing fixed 0 vars, tightened 46 bounds. Probing time = 0.00 sec. (0.05 ticks) Tried aggregator 1 time. MIP Presolve eliminated 256 rows and 147 columns. MIP Presolve modified 64 coefficients. Reduced MIP has 117 rows, 82 columns, and 396 nonzeros. Reduced MIP has 17 binaries, 0 generals, 0 SOSs, and 0 indicators. Presolve time = 0.00 sec. (0.31 ticks) Probing time = 0.00 sec. (0.01 ticks) Tried aggregator 1 time. Reduced MIP has 117 rows, 82 columns, and 396 nonzeros. Reduced MIP has 17 binaries, 0 generals, 0 SOSs, and 0 indicators. Presolve time = 0.02 sec. (0.19 ticks) Probing time = 0.00 sec. (0.01 ticks) MIP emphasis: balance optimality and feasibility. MIP search method: dynamic search. Parallel mode: deterministic, using up to 16 threads. Root relaxation solution time = 0.00 sec. (0.29 ticks) Nodes Cuts/ Node Left Objective IInf Best Integer Best Bound ItCnt Gap * 0+ 0 2776.7029 2633.8312 5.15% 0 0 cutoff 2776.7029 24 0.00% Root node processing (before b&c): Real time = 0.05 sec. (7.26 ticks) Parallel b&c, 16 threads: Real time = 0.00 sec. (0.00 ticks) Sync time (average) = 0.00 sec. Wait time (average) = 0.00 sec. ------------ Total (root+branch&cut) = 0.05 sec. (7.26 ticks) ----------用户A部分------------ 最优储能容量规划值为 : 2796.5625 kWh 最优储能充放电功率最大值为 : 590 kW ----------用户B部分------------ 最优储能容量规划值为 : 739.2434 kWh 最优储能充放电功率最大值为 : 130 kW ----------用户C部分------------ 最优储能容量规划值为 : 698.0099 kWh 最优储能充放电功率最大值为 : 80 kW >>
CPXPARAM_Simplex_Display 2
CPXPARAM_MIP_Tolerances_MIPGap 9.9999999999999995e-07
CPXPARAM_Barrier_Display 2
Tried aggregator 3 times.
MIP Presolve eliminated 479 rows and 53 columns.
Aggregator did 159 substitutions.
Reduced MIP has 373 rows, 229 columns, and 1198 nonzeros.
Reduced MIP has 46 binaries, 0 generals, 0 SOSs, and 0 indicators.
Presolve time = 0.02 sec. (1.67 ticks)
Found incumbent of value 4919.153611 after 0.03 sec. (2.56 ticks)
Probing fixed 0 vars, tightened 46 bounds.
Probing time = 0.00 sec. (0.05 ticks)
Tried aggregator 1 time.
MIP Presolve eliminated 256 rows and 147 columns.
MIP Presolve modified 64 coefficients.
Reduced MIP has 117 rows, 82 columns, and 396 nonzeros.
Reduced MIP has 17 binaries, 0 generals, 0 SOSs, and 0 indicators.
Presolve time = 0.00 sec. (0.31 ticks)
Probing time = 0.00 sec. (0.01 ticks)
Tried aggregator 1 time.
Reduced MIP has 117 rows, 82 columns, and 396 nonzeros.
Reduced MIP has 17 binaries, 0 generals, 0 SOSs, and 0 indicators.
Presolve time = 0.02 sec. (0.19 ticks)
Probing time = 0.00 sec. (0.01 ticks)
MIP emphasis: balance optimality and feasibility.
MIP search method: dynamic search.
Parallel mode: deterministic, using up to 16 threads.
Root relaxation solution time = 0.00 sec. (0.29 ticks)
Nodes Cuts/
Node Left Objective IInf Best Integer Best Bound ItCnt Gap
* 0+ 0 2776.7029 2633.8312 5.15%
0 0 cutoff 2776.7029 24 0.00%
Root node processing (before b&c):
Real time = 0.05 sec. (7.26 ticks)
Parallel b&c, 16 threads:
Real time = 0.00 sec. (0.00 ticks)
Sync time (average) = 0.00 sec.
Wait time (average) = 0.00 sec.
------------
Total (root+branch&cut) = 0.05 sec. (7.26 ticks)
----------用户A部分------------
最优储能容量规划值为 : 2796.5625 kWh
最优储能充放电功率最大值为 : 590 kW
----------用户B部分------------
最优储能容量规划值为 : 739.2434 kWh
最优储能充放电功率最大值为 : 130 kW
----------用户C部分------------
最优储能容量规划值为 : 698.0099 kWh
最优储能充放电功率最大值为 : 80 kW
>>
2.2 接入共享储能电站优化结果分析
Aggregator did 91 substitutions.
Reduced MIP has 259 rows, 277 columns, and 858 nonzeros.
Reduced MIP has 69 binaries, 0 generals, 0 SOSs, and 0 indicators.
Presolve time = 0.02 sec. (1.05 ticks)
Probing fixed 9 vars, tightened 111 bounds.
Probing time = 0.00 sec. (0.09 ticks)
Cover probing fixed 1 vars, tightened 28 bounds.
Tried aggregator 2 times.
MIP Presolve eliminated 81 rows and 66 columns.
MIP Presolve modified 132 coefficients.
Aggregator did 6 substitutions.
Reduced MIP has 172 rows, 205 columns, and 568 nonzeros.
Reduced MIP has 59 binaries, 0 generals, 0 SOSs, and 0 indicators.
Presolve time = 0.00 sec. (0.42 ticks)
Probing fixed 0 vars, tightened 9 bounds.
Probing time = 0.00 sec. (0.04 ticks)
Tried aggregator 1 time.
MIP Presolve eliminated 1 rows and 0 columns.
MIP Presolve modified 9 coefficients.
Reduced MIP has 171 rows, 205 columns, and 565 nonzeros.
Reduced MIP has 59 binaries, 0 generals, 0 SOSs, and 0 indicators.
Presolve time = 0.00 sec. (0.33 ticks)
Probing time = 0.00 sec. (0.04 ticks)
Clique table members: 7.
MIP emphasis: balance optimality and feasibility.
MIP search method: dynamic search.
Parallel mode: deterministic, using up to 16 threads.
Root relaxation solution time = 0.00 sec. (0.43 ticks)
Nodes Cuts/
Node Left Objective IInf Best Integer Best Bound ItCnt Gap
* 0 0 integral 0 2202.4575 2202.4575 20 0.00%
Elapsed time = 0.02 sec. (4.91 ticks, tree = 0.00 MB, solutions = 1)
Root node processing (before b&c):
Real time = 0.02 sec. (4.93 ticks)
Parallel b&c, 16 threads:
Real time = 0.00 sec. (0.00 ticks)
Sync time (average) = 0.00 sec.
Wait time (average) = 0.00 sec.
------------
Total (root+branch&cut) = 0.02 sec. (4.93 ticks)
🌈3 Matlab代码实现
链接：https://pan.baidu.com/s/11nW6qsFND4q96XzUEPXRyA
提取码：yyqh
--来自百度网盘超级会员V3的分享
🎉4 参考文献
部分理论来源于网络，如有侵权请联系删除。
[1]李淋,徐青山,王晓晴,凌静,孙海翔.基于共享储能电站的工业用户日前优化经济调度[J].电力建设,2020,41(05):100-107.
