CN112865088B - Double-layer optimal scheduling method for power distribution network - Google Patents

Abstract

The present invention and the technical field of distribution network dispatching specifically relate to a two-layer optimal dispatching method of a distribution network, which is realized based on historical weather data parameters, operating condition parameters of renewable energy power generation systems and corresponding output values of renewable energy power generation systems Construction of the relationship between weather data parameters, operating condition parameters of renewable energy power generation system and renewable energy output value; construct an upper-level scheduling optimization model based on the relationship between weather data parameters, operating condition parameters of renewable energy power generation system and renewable energy output value; Based on the current regional electricity demand, distribution network scheduling parameter range, and distribution network operating condition parameters, the lower-level scheduling optimization model is constructed; based on the relationship between renewable energy output values and distribution network scheduling parameters, the upper-level scheduling optimization model and lower-level scheduling are realized. The fusion of optimization models yields a two-tier dispatching model for the distribution network. The invention can realize joint reasonable and safe scheduling of the distribution network system and the renewable energy generation system.

Description

A two-layer optimal dispatching method for distribution network

technical field

The invention relates to the technical field of distribution network dispatching, in particular to a two-layer optimal dispatching method of a distribution network.

Background technique

With the shortage of fossil energy and the continuous deterioration of the natural environment, renewable energy represented by wind power and photovoltaics has developed rapidly, and its ratio in the distribution network has gradually increased in recent years. How to coordinate various distributed energy sources, energy storage devices and active loads in the active distribution network, and effectively participate in the current power market, so as to improve the voltage level of the distribution network and reduce the operating cost of the distribution network has become an urgent problem to be solved .

At present, the dispatching method of the distribution network generally adopts the independent dispatching method of the distribution network and the renewable energy generation system, and does not consider the local environmental parameters, the operating condition parameters of the renewable energy generation system, the power consumption habit parameters and the distribution network itself. There is a great blindness in the dispatching scheme, and it is easy to have a negative impact on the safe and stable operation of the distribution network.

Contents of the invention

The purpose of the present invention is to provide a two-layer optimal dispatching method for a distribution network, which can realize joint reasonable and safe dispatching of a distribution network system and a renewable energy generation system.

In order to solve the above technical problems, the present invention provides a two-layer optimal scheduling method for distribution network, including:

S11. Based on the historical weather data parameters, the working condition parameters of the renewable energy power generation system and the corresponding output values of the renewable energy power generation system, the construction of the relationship between the weather data parameters, the working condition parameters of the renewable energy power generation system and the output value of the renewable energy is realized ;

S12. Construct an upper-level scheduling optimization model based on the weather data parameters, the operating condition parameters of the renewable energy power generation system, and the output value of renewable energy;

S13. Construct a lower-level scheduling optimization model based on the current regional electricity demand, distribution network scheduling parameter range, and distribution network operating condition parameters;

S14. Based on the correlation between the output value of renewable energy and the dispatching parameters of the distribution network, the upper-level dispatching optimization model and the lower-level dispatching optimization model are integrated to obtain a two-tier dispatching model of the distribution network; wherein, the target of the two-tier dispatching model of the distribution network The function is the highest comprehensive benefit and the largest annual consumption rate of renewable energy. The constraints of the distribution network two-tier scheduling model include distribution network operation constraints, distribution network topology constraints, renewable energy operation constraints, and weather constraints;

S15. Using a multi-group differential evolution algorithm to solve the two-layer dispatching model of the distribution network, and obtain an optimal dispatching scheme of the distribution network.

Further, based on the historical electricity consumption habits of the current region, the electricity consumption demand of the current region is obtained, and the electricity consumption requirement includes a time period interval, an electric quantity requirement in this interval, and an electric quantity attribute requirement.

Further, a monitoring algorithm for evaluating weather data parameters and renewable energy power generation system operating condition parameters is configured in the upper-level scheduling optimization model. When the weather data parameters and renewable energy power generation system operating condition parameters fall into the preset When the threshold is reached, the emergency dispatch model is activated, and the GSM early warning module is activated to realize the sending of the corresponding repair SMS.

Further, an algorithm for evaluating distribution network operating condition parameters is configured in the lower-level dispatching optimization model. When the distribution network operating condition parameters fall into a preset threshold, the emergency dispatching model is activated and the GSM early warning module is activated. , to realize the sending of the corresponding repair SMS.

Further, the emergency dispatching model is used to generate an emergency dispatching method, and the upper-level dispatching optimization model and the lower-level dispatching optimization model are fused, and the objective function is the highest comprehensive benefit and the largest annual consumption rate of renewable energy. The constraints of the dispatching model include distribution network operation constraints, distribution network topology constraints, renewable energy operation constraints, distribution network failure constraints in a certain region, and renewable energy failure constraints in a certain region.

Further, it also includes:

When the weather data parameters and/renewable energy generation system operating condition parameters and/distribution network operating condition parameters fall into a preset threshold, the step of waking up the emergency dispatching model.

Further, it also includes:

A step of fine-tuning the electricity demand in the current area based on the special electricity demand in a certain period of time in the current area.

The present invention has the following beneficial effects:

1) The upper-level scheduling optimization model is constructed based on the weather data parameters, the operating condition parameters of the renewable energy power generation system and the output value of the renewable energy. The two-tier dispatching model of the distribution network obtained by fusing the lower-level dispatching optimization model with the condition parameters is used to optimize the design of the current regional distribution network dispatching plan, fully considering the current regional weather parameters, the operating condition parameters of the renewable energy generation system itself, and the power distribution system. Network working condition parameters and electricity demand parameters in different time periods in the current area can well avoid the blindness of the dispatching plan, so that the distribution network dispatching plan is more in line with the actual situation and maximizes value and safety.

2) It is possible to detect abnormal parameters in the current weather data parameters and/renewable energy power generation system operating condition parameters and/distribution network operating condition parameters in time, so as to perform emergency dispatch and realize abnormal early warning, which further improves the distribution network operation. security.

3) Fully consider the special power demand that the current region may face, and configure the corresponding fine-tuning scheme for distribution network dispatching, so that the obtained distribution network dispatching plan is more in line with actual needs.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the prior art and the accompanying drawings that need to be used in the embodiments. Obviously, the accompanying drawings in the following description are only some of the present invention. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

Fig. 1 is a flow chart of the first distribution network double-layer optimal scheduling method provided by the present invention;

Fig. 2 is the flow chart of the second distribution network double-layer optimal scheduling method provided by the present invention;

Fig. 3 is a flow chart of the third distribution network double-layer optimal dispatching method provided by the present invention.

Detailed ways

The core of the present invention is to provide a two-layer optimal dispatching method for a distribution network, which can realize joint reasonable and safe dispatching of a distribution network system and a renewable energy generation system.

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

As shown in Figure 1, Figure 1 is a flow chart of the first distribution network double-layer optimal scheduling method provided by the present invention, the method includes the following steps:

S11. Based on the historical weather data parameters, the working condition parameters of the renewable energy power generation system and the corresponding output values of the renewable energy power generation system, the construction of the relationship between the weather data parameters, the working condition parameters of the renewable energy power generation system and the output value of the renewable energy is realized ;

S12. Construct an upper-level scheduling optimization model based on the weather data parameters, the operating condition parameters of the renewable energy power generation system, and the output value of the renewable energy;

S13. Construct a lower-level scheduling optimization model based on the current regional electricity demand, distribution network scheduling parameter range, and distribution network operating condition parameters;

S14. Based on the correlation between the output value of renewable energy and the dispatching parameters of the distribution network, the upper-level dispatching optimization model and the lower-level dispatching optimization model are integrated to obtain a two-tier dispatching model of the distribution network; wherein, the target of the two-tier dispatching model of the distribution network The function is the highest comprehensive benefit and the largest annual consumption rate of renewable energy. The constraints of the distribution network two-tier scheduling model include distribution network operation constraints, distribution network topology constraints, renewable energy operation constraints, and weather constraints;

S15. Using a multi-group differential evolution algorithm to solve the two-layer dispatching model of the distribution network, and obtain an optimal dispatching scheme of the distribution network.

In this embodiment, the electricity consumption demand of the current area is obtained based on the historical electricity consumption habits of the current area, and the electricity consumption demand includes a time period interval, an electric quantity demand in this interval, and an electric quantity attribute demand.

As shown in Figure 2, Figure 2 is a flow chart of the second distribution network double-layer optimal scheduling method provided by the present invention, the method includes the following steps:

S21. Based on the historical weather data parameters, the operating condition parameters of the renewable energy power generation system and the corresponding output values of the renewable energy power generation system, the construction of the relationship between the weather data parameters, the operating condition parameters of the renewable energy power generation system and the output value of renewable energy is realized. ;

S22. Construct an upper-level scheduling optimization model based on the weather data parameters, the operating condition parameters of the renewable energy power generation system, and the output value of the renewable energy;

S23. Construct a lower-level scheduling optimization model based on the current regional electricity demand, distribution network scheduling parameter range, and distribution network operating condition parameters;

S24. Based on the correlation between the output value of renewable energy and the dispatching parameters of the distribution network, the upper-level dispatching optimization model and the lower-level dispatching optimization model are integrated to obtain a two-tier dispatching model of the distribution network; The function is the highest comprehensive benefit and the largest annual consumption rate of renewable energy. The constraints of the distribution network two-tier scheduling model include distribution network operation constraints, distribution network topology constraints, renewable energy operation constraints, and weather constraints;

S25. Using a multi-group differential evolution algorithm to solve the two-tier dispatching model of the distribution network, and obtain an optimal dispatching scheme for the distribution network;

S26. When the weather data parameter and/renewable energy generation system operating condition parameter and/distribution network operating condition parameter fall into a preset threshold, wake up the emergency dispatching model.

In this embodiment, the electricity consumption demand of the current area is obtained based on the historical electricity consumption habits of the current area, and the electricity consumption demand includes a time period interval, an electric quantity demand in this interval, and an electric quantity attribute demand.

In this embodiment, a monitoring algorithm for evaluating weather data parameters and renewable energy power generation system operating condition parameters is configured in the upper-level scheduling optimization model. When the weather data parameters and renewable energy power generation system operating condition parameters fall into the preset When the threshold is reached, the emergency dispatch model is activated, and the GSM (Global System for Mobile Communications) early warning module is activated to realize the sending of the corresponding repair SMS.

In this embodiment, an algorithm for evaluating distribution network operating conditions parameters is configured in the lower-level dispatching optimization model. When the distribution network operating condition parameters fall into the preset threshold, the emergency dispatching model is activated and the GSM early warning module is activated. , to realize the sending of the corresponding repair SMS.

In this embodiment, the emergency dispatching model is used to generate the emergency dispatching method. The upper-level dispatching optimization model and the lower-level dispatching optimization model are fused, and the objective function is the highest comprehensive benefit and the largest annual consumption rate of renewable energy. The constraints of the dispatching model include distribution network operation constraints, distribution network topology constraints and renewable energy operation constraints, distribution network failure constraints in a certain region, and renewable energy failure constraints in a certain region.

As shown in Figure 3, Figure 3 is a flow chart of the third distribution network double-layer optimal scheduling method provided by the present invention, the method includes the following steps:

S31. Based on the historical weather data parameters, the operating condition parameters of the renewable energy power generation system and the corresponding output values of the renewable energy power generation system, the construction of the relationship between the weather data parameters, the operating condition parameters of the renewable energy power generation system and the output value of renewable energy is realized. ;

S32. Construct an upper-level scheduling optimization model based on the weather data parameters, the operating condition parameters of the renewable energy power generation system, and the output value of the renewable energy;

S33. Construct a lower-level scheduling optimization model based on the current regional electricity demand, distribution network scheduling parameter range, and distribution network operating condition parameters;

S34. Based on the correlation between the output value of renewable energy and the dispatching parameters of the distribution network, the upper-level dispatching optimization model and the lower-level dispatching optimization model are integrated to obtain a two-tier dispatching model of the distribution network; wherein, the target of the two-tier dispatching model of the distribution network The function is the highest comprehensive benefit and the largest annual consumption rate of renewable energy. The constraints of the distribution network two-tier scheduling model include distribution network operation constraints, distribution network topology constraints, renewable energy operation constraints, and weather constraints;

S35. Using a multi-group differential evolution algorithm to solve the two-layer dispatching model of the distribution network, and obtain an optimal dispatching scheme for the distribution network;

S36. Realize the fine-tuning of the electricity demand in the current area based on the special electricity demand in a certain period of time in the current area, so as to realize the fine-tuning of the dispatching scheme of the distribution network.

In this embodiment, the electricity consumption demand of the current area is obtained based on the historical electricity consumption habits of the current area, and the electricity consumption demand includes a time period interval, an electric quantity demand in this interval, and an electric quantity attribute demand.

Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art may make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. In the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

It should also be noted that in this specification, relative terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that these entities or operations There is no such actual relationship or order between the operations. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (2)

1. The double-layer optimal scheduling method for the power distribution network is characterized by comprising the following steps of:

s11, constructing a correlation relationship among weather data parameters, working condition parameters of the renewable energy power generation system and output values of the renewable energy power generation system based on historical weather data parameters, working condition parameters of the renewable energy power generation system and the output values of the renewable energy power generation system;

s12, constructing an upper-layer scheduling optimization model based on the association relation between the weather data parameters, the working condition parameters of the renewable energy power generation system and the renewable energy output value;

s13, constructing a lower-layer dispatching optimization model based on the power consumption requirement of the current area, the dispatching parameter range of the power distribution network and the working condition parameter of the power distribution network;

s14, realizing fusion of an upper-layer dispatching optimization model and a lower-layer dispatching optimization model based on the association relation between the renewable energy source output value and the dispatching parameters of the power distribution network to obtain a double-layer dispatching model of the power distribution network; the objective function of the power distribution network double-layer scheduling model is the highest comprehensive benefit and the highest renewable energy annual absorption rate, and the constraint conditions of the power distribution network double-layer scheduling model comprise power distribution network operation constraint, power distribution network topology constraint, renewable energy operation constraint and weather constraint;

s15, solving a double-layer scheduling model of the power distribution network by adopting a multi-group differential evolution algorithm to obtain an optimized scheduling scheme of the power distribution network;

acquiring the electricity consumption requirement of the current area based on the historical electricity consumption habit of the current area, wherein the electricity consumption requirement comprises a time period interval, and the electricity consumption requirement and the electricity attribute requirement of the interval;

the upper layer scheduling optimization model is internally provided with a monitoring algorithm for realizing the evaluation of weather data parameters and working condition parameters of the renewable energy power generation system, when the weather data parameters and the working condition parameters of the renewable energy power generation system fall into preset thresholds, the emergency scheduling model is started, and a GSM early warning module is started to realize the transmission of corresponding repair short messages;

and an algorithm for realizing the evaluation of the working condition parameters of the power distribution network is configured in the lower-layer dispatching optimization model, when the working condition parameters of the power distribution network fall into a preset threshold, the emergency dispatching model is started, and the GSM early warning module is started to realize the transmission of the corresponding repair short message.

2. The power distribution network double-layer optimization scheduling method according to claim 1, wherein the emergency scheduling model is used for generating an emergency scheduling method, and the fusion of the upper layer scheduling optimization model and the lower layer scheduling optimization model is performed, so that the objective function is the highest comprehensive efficiency and the highest renewable energy annual absorption rate, and the constraint conditions of the power distribution network double-layer scheduling model comprise power distribution network operation constraint, power distribution network topology constraint, renewable energy operation constraint, power distribution network fault constraint of a certain area and renewable energy fault constraint of a certain area.

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