Therefore, the large-scale access of renewable energy power generation forces the power system to operate in an environment with low
inertia, high output fluctuation and high uncertainty, and in order to deal with the volatility and intermittency of renewable energy The traditional dispatching mode that invests in the construction of a large number of conventional power generation units as
backup capacity on the power generation side simply relies on the
backup capacity on the power generation side to promote the consumption of renewable energy, which makes the
backup units frequently start and stop, and operate with long-term
low load and deviate from the optimal economic
operating point, resulting in possible The economy and low-carbon
environmental protection of renewable energy
grid connection decline
Therefore, the traditional model that only relies on the
reserve capacity of the power generation side for regulation is difficult to meet the development needs of the future high-proportion renewable energy power generation power system, and it is urgent to introduce new dispatching models and participating units to promote the consumption of renewable energy
[0003] In order to meet the challenges brought about by the development of power systems with a high proportion of renewable energy in the future: system volatility, intermittency, random surge, and the lack of flexibility of traditional dispatching models: low flexibility and
economic benefits, etc.
[0007] (1) The comfort requirements of users are diverse, and the acceptable control ranges are different, resulting in inconsistent
controllability of temperature control loads;
[0008] (2) The number of temperature control loads is large, and centralized control is difficult to meet the reliability and
scalability requirements of a large number of loads participating in the control, resulting in
high pressure on control communication and low control reliability;
[0009] (3) The characteristics of high heterogeneity of thermal parameters of temperature-controlled loads are coupled with the characteristics of geographically dispersed distribution, which makes it difficult to implement centralized control of homogeneous temperature-controlled loads based on clustering methods, and the control communication is complicated, which reduces the Availability of demand-side dispatch potential;
[0016] 1) Existing control methods are difficult to achieve
direct control of heterogeneous temperature-controlled loads. Although the method of dividing heterogeneous temperature-controlled loads into homogeneous loads based on the clustering method realizes load cluster control, it ignores the load Due to the
coupling of the heterogeneity of operating parameters and the characteristics of geographically distributed distribution, loads with similar operating parameters are distributed in different areas, resulting in difficulties in control implementation and poor reliability
[0017] 2) When participating in grid auxiliary services, the unified control of temperature-controlled loads with similar parameters and different geographical locations will lead to the complication of communication links, reducing the availability and control
scalability of temperature-controlled
load scheduling potential
[0018] 3) Under the cluster control method based on the principle of the same operating power, the power steps of different groups are different, and the higher the
power level, the greater the absolute error. This control method will also reduce the flexibility of control
[0019] 4) The centralized
control system with load as the unit requires the control center (load aggregator) to establish control communication with each controlled load. When the number of loads is large, the cost of communication construction is high, the efficiency is low, and it is easy to cause communication congestion. Expansion Poor performance, not suitable for large-scale temperature control load control
[0020] 5) At the same time, the centralized
control system with the load as the unit needs to provide the load aggregator control center with the user's load operation parameter information and temperature comfort preference and other information, which may easily cause the leakage of
user privacy