Distributed load management scheme to increase PV hosting capacity in LV feeders

被引:14
|
作者
Mahroo-Bakhtiari, Reza [1 ]
Izadi, Milad [1 ]
Safdarian, Amir [1 ]
Lehtonen, Matti [2 ]
机构
[1] Sharif Univ Technol, Dept Elect Engn, Ctr Excellence Power Syst Control & Management, Tehran, Iran
[2] Aalto Univ, Dept Elect Engn & Automat, Espoo, Finland
关键词
building management systems; demand side management; distribution networks; linear programming; air conditioning; optimisation; load management; photovoltaic power systems; power grids; electric heating; distributed power generation; domestic appliances; higher PV hosting capacity; domestic electric water heater; heating; LV feeders; master problem; distributed load management scheme; photovoltaic panels; voltage increases; low voltage distribution feeders; VOLTAGE CONTROL STRATEGIES; ACTIVE POWER CURTAILMENT; DEMAND RESPONSE; OVERVOLTAGE PREVENTION; HIGH PENETRATION; STORAGE-SYSTEM; ENERGY; INTEGRATION; MITIGATION; NETWORKS;
D O I
10.1049/iet-rpg.2019.0159
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Proliferation of photovoltaic (PV) panels may cause voltage increases in low voltage (LV) distribution feeders. This issue confines PV hosting capacity of the feeders. To overcome this issue and enable higher PV hosting capacity, a model to manage the operation cycles of the domestic electric water heater and heating, ventilation, and air conditioning loads in order to avoid the voltage rise, thereby increasing PV hosting capacity in LV feeders is presented in this study. The model respects users' thermal comfort by setting the associated temperatures within allowed ranges. To preserve customers' privacy, the presented model is then decomposed into a master problem and several sub-problems using the Dantzig-Wolfe decomposition algorithm. Thereafter, an effective scheme is designed to solve the decomposed problem in a distributed fashion. In the scheme, the master problem is solved by the system-wide module and the sub-problems are solved by house-wide modules. The problems are all in linear format which can be easily solved with affordable computation. Importantly, the proposed model can reach the optimal solution while minimal data is shared between houses and control centre.
引用
收藏
页码:125 / 133
页数:9
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